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-->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003ESnowflake CLI is a command-line interface designed for developers building apps on Snowflake. Using Snowflake CLI, you can manage a Snowflake Native App, Snowpark functions, stored procedures, Snowpark Container Services, and much more. This guide will show you how to configure and efficiently use Snowflake CLI.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://www.youtube.com/watch?v=gGPKYGN0VQM\"\u003EVideo: Introduction to Snowflake\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://youtu.be/htLsbrJDUqk?si=vfTjL6JaCdEFdiSG\"\u003EVideo: Snowflake Data Loading Basics\u003C/a\u003E\u003C/li\u003E\u003Cli\u003EBasic knowledge of Snowflake concepts\u003C/li\u003E\u003Cli\u003EYou'll need a Snowflake account. You can sign up for a free 30-day trial account here: \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003Ehttps://signup.snowflake.com/\u003C/a\u003E.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You’ll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to install Snowflake CLI\u003C/li\u003E\u003Cli\u003EHow to configure Snowflake CLI\u003C/li\u003E\u003Cli\u003EHow to switch between different Snowflake connections\u003C/li\u003E\u003Cli\u003EHow to download and upload files using Snowflake CLI\u003C/li\u003E\u003Cli\u003EHow to execute SQL using Snowflake CLI\u003C/li\u003E\u003Cli\u003EHow to manage Snowflake objects\u003C/li\u003E\u003Cli\u003EHow to build and deploy Snowpark and Streamlit applications\u003C/li\u003E\u003Cli\u003EHow to build and deploy a Snowflake Native App\u003C/li\u003E\u003Cli\u003EHow to create and deploy Snowpark Container Services projects\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EInstall Snowflake CLI\u003C/h2\u003E\n","\u003Cp\u003EFirst, you’ll install the Snowflake CLI, and later you'll configure it to connect to your Snowflake account.\u003C/p\u003E\n","\u003Ch3\u003ECreate a Snowflake Account\u003C/h3\u003E\n","\u003Cp\u003EYou'll need a Snowflake account. You can sign up for a free 30-day trial account here: \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003Ehttps://signup.snowflake.com/\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003EAccess Snowflake’s Web Interface\u003C/h3\u003E\n","\u003Cp\u003ENavigate to \u003Ca href=\"https://app.snowflake.com/\"\u003Ehttps://app.snowflake.com/\u003C/a\u003E and log into your Snowflake account.\u003C/p\u003E\n","\u003Ch3\u003EInstall the Snowflake CLI\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI can be installed on Linux, Windows, or Mac. To install it we recommend using\npackage manager dedicated for your operating system. Follow the detailed instruction from the \u003Ca href=\"https://docs.snowflake.com/developer-guide/snowflake-cli/installation/installation#install-sf-cli-using-package-managers\"\u003Eofficial documentation\u003C/a\u003E\nto install the CLI.\u003C/p\u003E\n","\u003Cp\u003EOnce the CLI has been successfully installed, run the following command to verify that it was successfully installed:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow --help\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf Snowflake CLI was installed successfully, you should see output similar to the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003EUsage: snow [OPTIONS] COMMAND [ARGS]...                                                        \n                                                                                                \n Snowflake CLI tool for developers.                                                             \n                                                                                                \n╭─ Options ────────────────────────────────────────────────────────────────────────────────────╮\n│ --version                    Shows version of the Snowflake CLI                              │\n│ --info                       Shows information about the Snowflake CLI                       │\n│ --config-file          FILE  Specifies Snowflake CLI configuration file that should be used  │\n│                              [default: None]                                                 │\n│ --help         -h            Show this message and exit.                                     │\n╰──────────────────────────────────────────────────────────────────────────────────────────────╯\n╭─ Commands ───────────────────────────────────────────────────────────────────────────────────╮\n│ app         Manages a Snowflake Native App                                                   │\n│ connection  Manages connections to Snowflake.                                                │\n│ object      Manages Snowflake objects like warehouses and stages                             │\n│ snowpark    Manages procedures and functions.                                                │\n│ spcs        Manages Snowpark Container Services compute pools, services, image registries,   │\n│             and image repositories.                                                          │\n│ sql         Executes Snowflake query.                                                        │\n│ streamlit   Manages Streamlit in Snowflake.                                                  │\n╰──────────────────────────────────────────────────────────────────────────────────────────────╯\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ETroubleshooting\u003C/h3\u003E\n","\u003Cp\u003EYou may encounter an error like the following when attempting to use Snowflake CLI for the first time:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E╭─ Error ──────────────────────────────────────────────────────────────────────────────────────╮\n│ Configuration file /Users/yourusername/.snowflake/config.toml has too wide permissions, run    │\n│ `chmod 0600 "/Users/yourusername/.snowflake/config.toml"`                                      │\n╰──────────────────────────────────────────────────────────────────────────────────────────────╯\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn this case, run \u003Ccode\u003Echmod 0600 "/Users/yourusername/.snowflake/config.toml"\u003C/code\u003E in the terminal to update the permissions on the file. After running this command, run \u003Ccode\u003Esnow --help\u003C/code\u003E again. You should see the output shown earlier in this section.\u003C/p\u003E\n","\u003Ch3\u003EConfigure connection to Snowflake\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI uses a \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/connecting/specify-credentials#how-to-add-snowflake-credentials-using-a-configuration-file\"\u003Econfiguration file named \u003Cstrong\u003Econfig.toml\u003C/strong\u003E for storing your Snowflake connections\u003C/a\u003E . This file is created automatically when\nyou run Snowflake CLI for the first time. The file is typically created at \u003Cstrong\u003E~/.snowflake/config.toml\u003C/strong\u003E, but to confirm the default config file path, run the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Esnow --info\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe output will be an array of dictionaries. One of the dictionaries will contain the default config file path, similar to the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E...\n\n{\n  "key": "default_config_file_path",\n  "value": "/Users/yourusername/.snowflake/config.toml\n},\n\n...\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can add your connection details within \u003Cstrong\u003Econfig.toml\u003C/strong\u003E either manually or by using Snowflake CLI. Let's add a connection using Snowflake CLI.\u003C/p\u003E\n","\u003Cp\u003ETo add a new connection, run the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow connection add\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe command will guide you through defining a connection. You can omit all fields denoted by \u003Ccode\u003E[optional]\u003C/code\u003E by pressing "Enter" or "return" on your keyboard.\u003C/p\u003E\n","\u003Cp\u003EHere's an example:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003EName for this connection: my_connection\nSnowflake account name: my_account\nSnowflake username: jdoe\nSnowflake password [optional]: \nRole for the connection [optional]: \nWarehouse for the connection [optional]: \nDatabase for the connection [optional]: \nSchema for the connection [optional]: \nConnection host [optional]: \nConnection port [optional]: \nSnowflake region [optional]: \nAuthentication method [optional]: \nPath to private key file [optional]: \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFor more detailed information about configuring connections see DOCS LINK.\u003C/p\u003E\n","\u003Ch3\u003ETest connection to Snowflake\u003C/h3\u003E\n","\u003Cp\u003ETo test a connection to Snowflake, run the following command\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow connection test --connection my_connection\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn the example above, we use \u003Ccode\u003Emy_connection\u003C/code\u003E as the connection name, as it corresponds to the prior example connection. To test your connection, replace \u003Ccode\u003Emy_connection\u003C/code\u003E with the name of the connection you defined during the connection definition process.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EWorking with connections\u003C/h2\u003E\n","\u003Cp\u003EAn understanding of connections is critical for efficiently working with Snowflake CLI. In the next step, you'll learn how to work with connections.\u003C/p\u003E\n","\u003Ch3\u003EDefault connection\u003C/h3\u003E\n","\u003Cp\u003EYou can define a default Snowflake connection by adding the following at the top of \u003Cstrong\u003Econfig.toml\u003C/strong\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-toml\"\u003Edefault_connection_name = "my_connection"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis is the connection that will be used by default if you do not specify a connection name when using the \u003Ccode\u003E-c\u003C/code\u003E or \u003Ccode\u003E--connection\u003C/code\u003E flag with Snowflake CLI.\u003C/p\u003E\n","\u003Cp\u003EYou can also set a default connection directly from the terminal:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow connection set-default <connection-name>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERunning \u003Ccode\u003Eset-default\u003C/code\u003E will update your \u003Ccode\u003Econfig.toml\u003C/code\u003E file to use the specified connection as the default connection. This command is incredibly convenient if you work across multiple Snowflake accounts.\u003C/p\u003E\n","\u003Ch3\u003EUsing multiple connections\u003C/h3\u003E\n","\u003Cp\u003EBy default, Snowflake CLI commands operate within context of a specified connection. The only required fields in a named connection in \u003Cstrong\u003Econfig.toml\u003C/strong\u003E are \u003Ccode\u003Euser\u003C/code\u003E and \u003Ccode\u003Eaccount\u003C/code\u003E, however, many Snowflake CLI commands require \u003Ccode\u003Edatabase\u003C/code\u003E, \u003Ccode\u003Eschema\u003C/code\u003E, or \u003Ccode\u003Ewarehouse\u003C/code\u003E to be set in order for a command to be successful. For this reason, it's convenient to proactively set these fields in your named connections:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-toml\"\u003E[connections.my_connection]\nuser = "jdoe"\naccount = "my_account"\ndatabase = "jdoe_db"\nwarehouse = "xs"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis is especially recommended if you usually work with a particular context (i.e., a single database, dedicated warehouse, or role, etc.).\u003C/p\u003E\n","\u003Cp\u003EIf you switch your Snowflake context often (for example, when using different roles), it's good practice to define several connections that each correspond to a specific context, like so:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-toml\"\u003E[connections.admin_connection]\nuser = "jdoe"\naccount = "my_account"\nrole = "accountadmin"\n\n[connections.eng_connection]\nuser = "jdoe"\naccount = "my_account"\nrole = "eng_ops_rl"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn such cases, switching between multiple connections can be easily done by using the \u003Ccode\u003Esnow connection set-default\u003C/code\u003E command shown previously.\u003C/p\u003E\n","\u003Ch3\u003EOverriding connection details\u003C/h3\u003E\n","\u003Cp\u003EThere may be instances where you might want to override connection details without directly editing \u003Cstrong\u003Econfig.toml\u003C/strong\u003E. You can do this in one of the following ways:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EUsing connection flags in CLI commands\u003C/li\u003E\u003Cli\u003EUsing environment variables\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch4\u003EUsing CLI flags\u003C/h4\u003E\n","\u003Cp\u003EAll commands that require an established connection to Snowflake support the following flags:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E╭─ Connection configuration ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n│ --connection,--environment  -c      TEXT  Name of the connection, as defined in your `config.toml`. Default: `default`.                                                                                 │\n│ --account,--accountname             TEXT  Name assigned to your Snowflake account. Overrides the value specified for the connection.                                                                    │\n│ --user,--username                   TEXT  Username to connect to Snowflake. Overrides the value specified for the connection.                                                                           │\n│ --password                          TEXT  Snowflake password. Overrides the value specified for the connection.                                                                                         │\n│ --authenticator                     TEXT  Snowflake authenticator. Overrides the value specified for the connection.                                                                                    │\n│ --private-key-path                  TEXT  Snowflake private key path. Overrides the value specified for the connection.                                                                                 │\n│ --database,--dbname                 TEXT  Database to use. Overrides the value specified for the connection.                                                                                            │\n│ --schema,--schemaname               TEXT  Database schema to use. Overrides the value specified for the connection.                                                                                     │\n│ --role,--rolename                   TEXT  Role to use. Overrides the value specified for the connection.                                                                                                │\n│ --warehouse                         TEXT  Warehouse to use. Overrides the value specified for the connection.                                                                                           │\n│ --temporary-connection      -x            Uses connection defined with command line parameters, instead of one defined in config                                                                        │\n│ --mfa-passcode                      TEXT  Token to use for multi-factor authentication (MFA)                                                                                                            │\n╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can access this list by running any Snowflake CLI command with \u003Ccode\u003E--help\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EYou can override any of the connection settings above directly from the CLI. Overriding a connection detail using a CLI flag will always take precedence over other overwriting methods (as in the next section).\u003C/p\u003E\n","\u003Ch4\u003EUsing environment variables\u003C/h4\u003E\n","\u003Cp\u003EAnother option for overriding connection details is to use environment variables. This option is recommended for passwords or any other sensitive information, especially if you use Snowflake CLI with external systems (e.g., CI/CD pipelines, etc.)\u003C/p\u003E\n","\u003Cp\u003EFor every connection field, there are two flags:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EA generic flag in form of \u003Ccode\u003ESNOWFLAKE_[KEY]\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EA connection-specific flag in form of \u003Ccode\u003ESNOWFLAKE_CONNECTIONS_[CONNECTION_NAME]_[KEY]\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EConnection specific flags take precedence over generic flags.\u003C/p\u003E\n","\u003Cp\u003ELet's take a look at an example, where we test a connection with a role that doesn't exist in that Snowflake environment:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003ESNOWFLAKE_ROLE=funny_role snow connection test\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf the role does not exist, you should see error similar the one below:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E╭─ Error ───────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n│ Invalid connection configuration. 250001 (08001): None: Failed to connect to DB: myacc.snowflakecomputing.com:443.    │\n│ Role 'FUNNY_ROLE' specified in the connect string does not exist or not authorized. Contact your local system         │\n│ administrator, or attempt to login with another role, e.g. PUBLIC.                                                    │\n╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EUsing temporary connection\u003C/h3\u003E\n","\u003Cp\u003EIn situations where you are unable to add a new connection to \u003Cstrong\u003Econfig.toml\u003C/strong\u003E, you may specify a temporary connection directly from the command line using the \u003Ccode\u003E-x\u003C/code\u003E or \u003Ccode\u003E--temporary-connection\u003C/code\u003E flags. These flags allow you to specify connection details inline, like so:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "SELECT r_value FROM my_table LIMIT 10" -x --account=<account_name> --user=<user_name> --password=<your_password>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn the example above, we establish a temporary connection to Snowflake and execute the \u003Ccode\u003ESELECT r_value FROM my_table LIMIT 10\u003C/code\u003E SQL statement.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E If your account does not allow password authentication, use proper authentication using \u003Ccode\u003E--authenticator\u003C/code\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch2\u003EUsing Snowflake CLI to execute SQL commands\u003C/h2\u003E\n","\u003Cp\u003ESnowflake CLI enables basic execution of SQL. In this step you will learn how to execute ad-hoc queries or entire SQL files.\u003C/p\u003E\n","\u003Ch3\u003EThe \u003Ccode\u003Esql\u003C/code\u003E command\u003C/h3\u003E\n","\u003Cp\u003ETo execute SQL queries using Snowflake CLI, you can use the \u003Ccode\u003Esnow sql\u003C/code\u003E command.\u003C/p\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Esnow sql\u003C/code\u003E command can be run as follows:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Esnow sql --help                \n                                                                                                                         \n Usage: snow sql [OPTIONS]                                                                                               \n                                                                                                                         \n Executes Snowflake query.                                                                                               \n Query to execute can be specified using query option, filename option (all queries from file will be executed) or via   \n stdin by piping output from other command. For example `cat my.sql | snow sql -i`.                                      \n                                                                                                                         \n╭─ Options ─────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n│ --query     -q      TEXT  Query to execute. [default: None]                                                           │\n│ --filename  -f      FILE  File to execute. [default: None]                                                            │\n│ --stdin     -i            Read the query from standard input. Use it when piping input to this command.               │\n│ --help      -h            Show this message and exit.                                                                 │\n╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWhenever you're working with a new Snowflake CLI command, consider running it initially with the \u003Ccode\u003E--help\u003C/code\u003E flag  to learn more about how to use it.usages.\u003C/p\u003E\n","\u003Ch3\u003EExecuting ad-hoc query\u003C/h3\u003E\n","\u003Cp\u003ETo execute an ad-hoc query run the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql --query "select 1 as a, 2 as b, 3 as c"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis command will output the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E+-----------+\n| A | B | C |\n|---+---+---|\n| 1 | 2 | 3 |\n+-----------+\n\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can execute multiple queries using \u003Ccode\u003E--query\u003C/code\u003E parameter. For example:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql --query "select 42 as a; select 2 as b"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will return result for each query separately:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Eselect 42 as a;\n+----+\n| A  |\n|----|\n| 42 |\n+----+\n\nselect 2 as b\n+---+\n| B |\n|---|\n| 2 |\n+---+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch4\u003EProcess the output programmatically\u003C/h4\u003E\n","\u003Cp\u003EYou may encounter situations where you might want to process the output of a SQL query programmatically. To do this, you'll need to change the output format of the command output.\u003C/p\u003E\n","\u003Cp\u003ECurrently Snowflake CLI supports only JSON output. To format the output of your SQL queries to JSON, you'll need to add \u003Ccode\u003E--format=JSON\u003C/code\u003E to your query commands.\u003C/p\u003E\n","\u003Cp\u003ELet's re-run the above examples using JSON format. To do so run the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql --query "select 1 as a, 2 as b, 3 as c" --format=JSON\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will return data as single array (because there's only single query) with rows:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-json\"\u003E[\n  {\n    "A": 1,\n    "B": 2,\n    "C": 3\n  }\n]\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext run the other example with JSON format:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql --query "select 42 as a; select 2 as b" --format=JSON\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn this case data will be returned as array of arrays due to executing multiple queries:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-json\"\u003E[\n  [\n    {\n      "A"  :   42\n    }\n  ],\n  [\n    {\n      "B"  :   2\n    }\n  ]\n]\n\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EExecuting query from file\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI also allows you to execute SQL files. Let's start by preparing a SQL file with a very simple script.\u003C/p\u003E\n","\u003Cp\u003EFirst, write \u003Ccode\u003Eselect 1\u003C/code\u003E to a file called \u003Cstrong\u003Etest.sql\u003C/strong\u003E. This will create the file in your working directory.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Eecho "select 1 as a;" >> test.sql\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext, execute the contents of the file by running the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql --filename test.sql\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAs a result you should see the following output:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+---+\n| a |\n|---|\n| 1 |\n+---+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ETemplating SQL queries\u003C/h3\u003E\n","\u003Cp\u003EIn many case you may want to change your queries depending on some context, for example type of environment (production vs. testing).\nThis is possible thanks to client-side templating in Snowflake CLI. We call it client-side to distinguish if from \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/execute-immediate-from#jinja2-templating\"\u003Eserver-side rendering\nsupported by EXECUTE IMMEDIATE FROM\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003ESnowflake CLI is using \u003Ccode\u003E<% VARIABLE_NAME %>\u003C/code\u003E pattern for specifying variables in SQL. You can use templates in both ad-hoc queries\nand files.\u003C/p\u003E\n","\u003Cp\u003EVariables can be defined using \u003Ccode\u003E-D/--variable\u003C/code\u003E flag in \u003Ccode\u003Esnow sql\u003C/code\u003E command. The input for this flag has to be in form of\n\u003Ccode\u003Ekey=value\u003C/code\u003E string.\u003C/p\u003E\n","\u003Cp\u003ETo test out the templating functionality run the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "select <% my_var %> + 2" -D "my_var=40"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Ein the result you should see the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Eselect 40 + 2\n+--------+\n| 40 + 2 |\n|--------|\n| 42     |\n+--------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch2\u003EManaging Snowflake objects\u003C/h2\u003E\n","\u003Cp\u003ESnowflake CLI offers commands for generic object operations like \u003Ccode\u003ESHOW\u003C/code\u003E, \u003Ccode\u003EDROP\u003C/code\u003E and \u003Ccode\u003EDESCRIBE\u003C/code\u003E. Those commands are available under \u003Ccode\u003Esnow object\u003C/code\u003E command.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n","\u003Cp\u003ELet's create a new database using \u003Ccode\u003Esnow sql\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "create database snowflake_cli_db"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EListing objects\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI allows you to list existing objects of given type. In this example we will use `database`` as the type.\u003C/p\u003E\n","\u003Cp\u003ETo list available databases to you run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow object list database\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can filter results by specifying \u003Ccode\u003E--like\u003C/code\u003E flag. For example running the following command should return only one database:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow object list database --like=snowflake_cli_db\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo learn more about supported objects, run \u003Ccode\u003Esnow object list --help\u003C/code\u003E.\u003C/p\u003E\n","\u003Ch3\u003EDescribing objects\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI allows you to describe objects of a given type. In this example, we will use `database`` as the type.\u003C/p\u003E\n","\u003Cp\u003EBy running the following command you will get details of the database we created in previous steps:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow object describe database snowflake_cli_db\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo check for list of supported objects run \u003Ccode\u003Esnow object describe --help\u003C/code\u003E.\u003C/p\u003E\n","\u003Ch3\u003EDropping objects\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI allows you to drop existing objects of a given type. In this example we will use `database`` as the type.\u003C/p\u003E\n","\u003Cp\u003EBy running the following command you will drop the database we created in previous steps:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow object drop database snowflake_cli_db\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo check for list of supported objects run \u003Ccode\u003Esnow object drop --help\u003C/code\u003E.\u003C/p\u003E\n","\u003Ch2\u003EUsing Snowflake CLI to work with stages\u003C/h2\u003E\n","\u003Cp\u003EYou can use Snowflake CLI to work with stages. In this step you will learn how to use the \u003Ccode\u003Esnow stage\u003C/code\u003E commands.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n","\u003Cp\u003ECommands in this section require a \u003Ccode\u003Edatabase\u003C/code\u003E and \u003Ccode\u003Eschema\u003C/code\u003E to be specified in your connection details. If you skipped creating \u003Ccode\u003Esnowflake_cli_db\u003C/code\u003E database in previous steps, you should create it now by running the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "create database snowflake_cli_db"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAfter running the command you should see output similar to this one:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+---------------------------------------------------+\n| status                                            |\n|---------------------------------------------------|\n| Database SNOWFLAKE_CLI_DB successfully created.   |\n+---------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreating a stage\u003C/h3\u003E\n","\u003Cp\u003EYou can create a new stage using by running the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow stage create snowflake_cli_db.public.my_stage\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf the command succeeds, you should see the following output:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+----------------------------------------------------+\n| key    | value                                     |\n|--------+-------------------------------------------|\n| status | Stage area MY_STAGE successfully created. |\n+----------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EUploading files to a stage\u003C/h3\u003E\n","\u003Cp\u003ENow that the stage is created, you can upload files from your local file system to the stage. First, you'll need to create these files before uploading them.\u003C/p\u003E\n","\u003Cp\u003ELet's create an empty CSV file:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Etouch data.csv\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENext, upload this file to the stage by running the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow stage copy data.csv @snowflake_cli_db.public.my_stage\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERunning this command should return the following output:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+----------------------------------------------------------------------------------------------------------------+\n| source   | target   | source_size | target_size | source_compression | target_compression | status   | message |\n|----------+----------+-------------+-------------+--------------------+--------------------+----------+---------|\n| data.csv | data.csv | 0           | 16          | NONE               | NONE               | UPLOADED |         |\n+----------------------------------------------------------------------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EListing stage contents\u003C/h3\u003E\n","\u003Cp\u003EAt this point you should have a stage with a single file in it. To list the contents of the stage, you can run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow stage list @snowflake_cli_db.public.my_stage \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAfter running this command you should see output similar to the folowing:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+--------------------------------------------------------------------------------------------+\n| name              | size | md5                              | last_modified                |\n|-------------------+------+----------------------------------+------------------------------|\n| my_stage/data.csv | 16   | beb79a90840ec142a6586b03c2893c77 | Fri, 1 Mar 2024 20:56:24 GMT |\n+--------------------------------------------------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EDownloading a file from stage\u003C/h3\u003E\n","\u003Cp\u003EYou can also download files from a stage. Let's download the CSV file we just uploaded.\u003C/p\u003E\n","\u003Cp\u003EYou can download files from a stage using the same `snow stage copy`` command, only this time you will replace the order of the arguments.\u003C/p\u003E\n","\u003Cp\u003ETo download the file from the stage to your current working directory run the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow stage copy @snowflake_cli_db.public.my_stage/data.csv .\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis command should return output similar to the following:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+----------------------------------------+\n| file     | size | status     | message |\n|----------+------+------------+---------|\n| data.csv | 0    | DOWNLOADED |         |\n+----------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ERemoving stage\u003C/h3\u003E\n","\u003Cp\u003ELastly, you can use Snowflake CLI to remove a stage. You can do this with the \u003Ccode\u003Esnow object drop\u003C/code\u003E command.\u003C/p\u003E\n","\u003Cp\u003ETo remove the stage you created for this tutorial, run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow object drop stage snowflake_cli_db.public.my_stage\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIn the output, you should see a message like this one:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+--------------------------------+\n| status                         |\n|--------------------------------|\n| MY_STAGE successfully dropped. |\n+--------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch2\u003EBuilding applications using Snowflake CLI\u003C/h2\u003E\n","\u003Cp\u003EIn the next steps, you'll learn how to use Snowflake CLI to bootstrap and develop Snowpark, Snowflake Native App and Streamlit apps.\u003C/p\u003E\n","\u003Ch2\u003EWorking with Snowpark applications\u003C/h2\u003E\n","\u003Cp\u003ELet's take a look at how Snowflake CLI can support development of Snowpark applications with multiple functions and procedures.\u003C/p\u003E\n","\u003Ch3\u003EInitializing Snowpark project\u003C/h3\u003E\n","\u003Cp\u003EYou can use Snowflake CLI to initialize a Snowpark project. To do so, run the following command\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow init my_project --template example_snowpark      \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERunning this command will create a new \u003Ccode\u003Emy_project\u003C/code\u003E directory. Now move to this new directory by running:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecd my_project\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis new directory include:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Esnowflake.yml\u003C/strong\u003E – a project definition file that includes definitions of procedures and functions\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Erequirements.txt\u003C/strong\u003E – a requirements file for this Python project.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Eapp/\u003C/strong\u003E - directory with Python code for your app\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EIn its initial state, the project defines:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EA function called \u003Ccode\u003Ehello_function(name string)\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ETwo procedures: \u003Ccode\u003Ehello_procedure(name string)\u003C/code\u003E and \u003Ccode\u003Etest_procedure()\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EBuilding Snowpark project\u003C/h3\u003E\n","\u003Cp\u003EWorking with a Snowpark project requires two main steps: building and deploying. In this step you will build the project.\u003C/p\u003E\n","\u003Cp\u003EBuilding a Snowpark project results in the creation of a ZIP file. The name of the ZIP file is the same as the value of the \u003Ccode\u003Esnowpark.src\u003C/code\u003E key from \u003Ccode\u003Esnowflake.yml\u003C/code\u003E. The archive contains code for your application, as well as downloaded dependencies that were defined in \u003Cstrong\u003Erequirements.txt\u003C/strong\u003E (not present in Snowflake's Anaconda channel).\u003C/p\u003E\n","\u003Cp\u003EYou can build the project by running:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow snowpark build\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EDeploying the Snowpark project\u003C/h3\u003E\n","\u003Cp\u003EThe next step is to deploy the Snowpark project. This step uploads your\ncode and required dependencies to a stage in Snowflake. At this point, functions and procedures will be created in your Snowflake account.\u003C/p\u003E\n","\u003Cp\u003EBefore deploying the project, you will need to create a database to store the the functions and procedures. This is also where the stage will be created.\u003C/p\u003E\n","\u003Cp\u003ETo create a database, use the \u003Ccode\u003Esnow sql\u003C/code\u003E command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "create database snowpark_example"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow, you can deploy the project to the newly created database:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow snowpark deploy --database=snowpark_example\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will result in the creation of the functions and procedures. After the process is completed you should see message similar to this one:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+----------------------------------------------------------------------------+\n| object                                               | type      | status  |\n|------------------------------------------------------+-----------+---------|\n| SNOWPARK_EXAMPLE.PUBLIC.HELLO_PROCEDURE(name string) | procedure | created |\n| SNOWPARK_EXAMPLE.PUBLIC.TEST_PROCEDURE()             | procedure | created |\n| SNOWPARK_EXAMPLE.PUBLIC.HELLO_FUNCTION(name string)  | function  | created |\n+----------------------------------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EExecuting functions and procedures\u003C/h3\u003E\n","\u003Cp\u003EYou have successfully deployed Snowpark functions and procedures. Now you can execute them to confirm that they function as intended.\u003C/p\u003E\n","\u003Cp\u003ETo execute the \u003Ccode\u003EHELLO_FUNCTION\u003C/code\u003E function run the following\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow snowpark execute function "SNOWPARK_EXAMPLE.PUBLIC.HELLO_FUNCTION('jdoe')"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERunning this command should return output similar to this:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+--------------------------------------------------------------+\n| key                                            | value       |\n|------------------------------------------------+-------------|\n| SNOWPARK_EXAMPLE.PUBLIC.HELLO_FUNCTION('JDOE') | Hello jdoe! |\n+--------------------------------------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ETo execute the \u003Ccode\u003EHELLO_PROCEDURE\u003C/code\u003E procedure run the following command:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow snowpark execute procedure "SNOWPARK_EXAMPLE.PUBLIC.HELLO_PROCEDURE('jdoe')"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERunning this command should return an output similar to this one:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E+-------------------------------+\n| key             | value       |\n|-----------------+-------------|\n| HELLO_PROCEDURE | Hello jdoe! |\n+-------------------------------+\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch2\u003EWorking with a Snowflake Native App\u003C/h2\u003E\n","\u003Cp\u003ELet's take a look at how Snowflake CLI can support development of a Snowflake Native App.\u003C/p\u003E\n","\u003Ch3\u003EInitializing a Snowflake Native App project\u003C/h3\u003E\n","\u003Cp\u003EYou can use Snowflake CLI to initialize a Snowflake Native App project. To do so, run the following command\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow app init na_streamlit_project --template streamlit-python\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ERunning this command will create a new \u003Ccode\u003Ena_streamlit_project\u003C/code\u003E directory from a predetermined template provided by Snowflake called \u003Ccode\u003Estreamlit-python\u003C/code\u003E. For a full list of templates, check out the official \u003Ca href=\"https://github.com/snowflakedb/native-apps-templates/tree/main\"\u003ESnowflake Native App templates repo\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EOnce the directory is created, navigate to it by running:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecd na_streamlit_project\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis new directory includes:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Esnowflake.yml\u003C/strong\u003E – a project definition file that includes information about the Snowflake Native App that you will create.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Esrc/\u003C/strong\u003E – a directory that contains all the source code for stored procedures, UDFs and streamlit application.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Eapp/\u003C/strong\u003E - a directory that contains the files required by Snowflake Native App such as manifest.yml and a setup script.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Cstrong\u003Escripts/\u003C/strong\u003E - a directory that contains scripts that will be run as part of the Snowflake Native App creation.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThis template will be used to build a simple calculator as a Snowflake Native App.\u003C/p\u003E\n","\u003Ch3\u003EBuilding a Snowflake Native App\u003C/h3\u003E\n","\u003Cp\u003EWorking with this Snowflake Native App project involves two main steps: deploying an application package and creating an application object from this application package.\u003C/p\u003E\n","\u003Cp\u003EThe following step will create an application package for you, upload the files specified in \u003Cstrong\u003Esnowflake.yml\u003C/strong\u003E to a stage, run any scripts in \u003Cstrong\u003Escripts/\u003C/strong\u003E if they are specified in \u003Cstrong\u003Esnowflake.yml\u003C/strong\u003E, and create an application object from this application package using named files on the stage.\u003C/p\u003E\n","\u003Cp\u003EYou can achieve all of the above from your project by running a single commnad:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow app run\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAs a note, this template assumes that the role and warehouse you specified in your \u003Cstrong\u003Econfig.toml\u003C/strong\u003E file has the required privileges to create an application package and an application object. If you did not specify either in \u003Cstrong\u003Econfig.toml\u003C/strong\u003E file, then the default role and/or warehouse assigned to your user will be used.\u003C/p\u003E\n","\u003Cp\u003EAfter the process is completed you should see message similar to this one:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003EYour application object na_streamlit_project_$USER is now available:\nhttps://app.snowflake.com/.../apps/application/na_streamlit_project_$USER\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Ewhere \u003Ccode\u003E$USER\u003C/code\u003E is populated from the environment variable from your machine. This will navigate you directly to the application object created in your account.\u003C/p\u003E\n","\u003Ch3\u003EExecuting functions and procedures in your application object\u003C/h3\u003E\n","\u003Cp\u003EYou have successfully created an application object in your account. Now you can use either the Streamlit UI or SQL to interact with it.\u003C/p\u003E\n","\u003Cp\u003ETo execute the \u003Ccode\u003Ecore.add\u003C/code\u003E function in the application object using SQL, run the following\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "select na_streamlit_project_$USER.core.add(1, 2)"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003Ereplacing \u003Ccode\u003Ena_streamlit_project_$USER\u003C/code\u003E with the actual name of your application object. This will output the result of the function call also on the console.\u003C/p\u003E\n","\u003Ch3\u003EOpening a Snowflake Native App from the command line\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI also allows you to retrieve the URL for a Snowflake Native App, as well as open the app directly from the command line. To open the application created in previous step while still in the project directory,\nrun:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow app open\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will open the Snowflake Native App in your browser.\u003C/p\u003E\n","\u003Ch3\u003EDropping a Snowflake Native App from the command line\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI allows you to drop both the application object and the application package you created as part of the previous \u003Ccode\u003Esnow app run\u003C/code\u003E in one go. To do that, run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow app teardown\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis will drop both the objects for you. As a note, it will not drop any other roles, databases, warehouses etc associated with the Snowflake Native App project.\u003C/p\u003E\n","\u003Ch2\u003EWorking with Streamlit applications\u003C/h2\u003E\n","\u003Cp\u003ESnowflake CLI also provides commands to work with Streamlit applications. In this step you will learn how to deploy a Streamlit application using Snowflake CLI.\u003C/p\u003E\n","\u003Ch3\u003EInitializing Streamlit project\u003C/h3\u003E\n","\u003Cp\u003EStart by initializing a Streamlit project. To do so, run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow init streamlit_app --template example_streamlit\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EBy running this command a new \u003Ccode\u003Estreamlit_app\u003C/code\u003E directory will be created. Similar to a Snowpark project, this directory also includes also a \u003Cstrong\u003Esnowflake.yml\u003C/strong\u003E file which defines the Streamlit app.\u003C/p\u003E\n","\u003Cp\u003ENavigate to this new project directory by running:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Ecd streamlit_app/\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EDeploying a Streamlit project\u003C/h3\u003E\n","\u003Cp\u003EThe next step is to deploy the Streamlit application. Before deploying you will need to create database where the Streamlit and related sources will live. To do so run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow sql -q "create database streamlit_example"\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou'll also need a warehouse to deploy the Streamlit application. If you already have a warehouse that you can use, then you should update the Streamlit definition in the \u003Cstrong\u003Esnowflake.yml\u003C/strong\u003E file to use the specified warehouse:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-yml\"\u003Edefinition_version: 1\nstreamlit:\n  # ...\n  query_warehouse: <warehouse_name>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EOnce you specify an existing warehouse, you can deploy the Streamlit application by running:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow streamlit deploy --database=streamlit_example\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESuccessfully deploying the Streamlit should result in message similar to this one:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003EStreamlit successfully deployed and available under https://app.snowflake.com/.../streamlit-apps/STREAMLIT_EXAMPLE.PUBLIC.STREAMLIT_APP\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EOpening Streamlit app from the command line\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CLI also allows you to retrieve the URL for a Streamlit app, as well as open the app directly from the command line. To open the application created in previous step\nrun:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003Esnow streamlit get-url streamlit_app --database=streamlit_example --open\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EWorking with Snowpark Container Services\u003C/h2\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Snowpark Container Services is currently in Public Preview in select AWS \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview?_fsi=g3LX4YOG&_fsi=g3LX4YOG#available-regions\"\u003Eregions\u003C/a\u003E. In addition, trial accounts do not support Snowpark Container Services. Reach out to your Snowflake account team to enable your account for Snowpark Container Services.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EYou can also manage Snowpark Container Services with Snowflake CLI. In this step, you'll learn how to create and use Snowpark Container Services with Snowflake CLI. To proceed, you'll need the following prerequisites:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EA Snowflake account with Snowpark Container Services enabled\u003C/li\u003E\u003Cli\u003EA user in your Snowflake account with ACCOUNTADMIN privileges\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.docker.com/get-docker/\"\u003EDocker Desktop\u003C/a\u003E installed on your computer\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EDownload the source code\u003C/h3\u003E\n","\u003Cp\u003EDownload the source code for this section: \u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/snowflake_cli_snowpark_container_services\"\u003Esnowflake_cli_snowpark_container_services\u003C/a\u003E\u003C/p\u003E\n","\u003Ch3\u003ESet up your connection\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ENavigate to the downloaded folder (i.e., \u003Ccode\u003Ecd snowflake_cli_snowpark_container_services\u003C/code\u003E, or wherever you saved the source code).\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESetup the connection for your admin user by running \u003Ccode\u003Esnow connection add\u003C/code\u003E and filling in the admin user login along with the following settings:\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003EName for this connection: admin\nSnowflake account name: <account_name>\nSnowflake username: <admin_user>\nSnowflake password [optional]: <password> (note that your password input will be hidden)\nRole for the connection [optional]: accountadmin\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreate a test role\u003C/h3\u003E\n\u003Col start=\"3\"\u003E\u003Cli\u003E\n","\u003Cp\u003EEdit the \u003Cstrong\u003Esetup/admin_setup.sql\u003C/strong\u003E file and fill in \u003Ccode\u003E<user_name>\u003C/code\u003E with the name of the test user.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ERun \u003Ccode\u003Esnow sql -f setup/admin_setup.sql -c admin\u003C/code\u003E. This does the following:\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ECreates a role (\u003Ccode\u003Etest_role\u003C/code\u003E) and other Snowflake objects. To create the role and objects, you must use the ACCOUNTADMIN role. (This restriction helps to control costs and manage business information risks.) The script also grants the \u003Ccode\u003Etest_role\u003C/code\u003E role the privileges needed to manage the newly created objects.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EGrants the role to the specified test user, who then uses the role to explore the tutorial.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ESet up a connection for your test role\u003C/h3\u003E\n\u003Col start=\"5\"\u003E\u003Cli\u003ESetup the connection for your test user by running \u003Ccode\u003Esnow connection add\u003C/code\u003E and filling in the user login as well as the following settings:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003EName for this connection: default\nSnowflake account name: <account_name>\nSnowflake username: <test_user>\nSnowflake password [optional]: <password> (note that your password input will be hidden)\nRole for the connection [optional]: tutorial_role\nWarehouse for the connection [optional]: tutorial_warehouse\nDatabase for the connection [optional]: tutorial_db\nSchema for the connection [optional]: data_schema\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreate an image repository for your service code\u003C/h3\u003E\n\u003Col start=\"6\"\u003E\u003Cli\u003ERun \u003Ccode\u003Esnow sql -f setup/user_setup.sql\u003C/code\u003E. This does the following:\u003C/li\u003E\u003C/ol\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ECreates a schema for your image repository and service.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECreates an image repository to store your service code (container images).\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EVerify proper set up\u003C/h3\u003E\n\u003Col start=\"7\"\u003E\u003Cli\u003EVerify that you have the correct objects from the setup with the following commands\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003E# should describe your newly created compute pool\nsnow object describe compute-pool tutorial_compute_pool\n\n# should describe your newly created warehouse\nsnow object describe warehouse tutorial_warehouse\n\n# confirms that tutorial repository exists and also returns the url\nsnow spcs image-repository url tutorial_repository\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EBuild an image and upload it to an image repository\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EGet the repository URL by running:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Esnow spcs image-repository url tutorial_repository\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou could also run the following handy command to retrieve the repository URL and store it:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Erepo_url=$(snow spcs image-repository url tutorial_repository)\nimage_name="my_echo_service_image:latest"\n\n\u003C/code\u003E\u003C/pre\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003E\n","\u003Cp\u003EOpen another terminal window, and change to the \u003Ccode\u003Esnowflake_cli_snowpark_container_services/tutorial\u003C/code\u003E directory.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ETo build a Docker image, execute the following docker build command using the Docker CLI. Note the command specifies the current working directory (\u003Ccode\u003E.\u003C/code\u003E) as the PATH for files to use for building the image. You may need to update it according to your preferred directory structure.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Edocker build --rm --platform linux/amd64 -t <repository_url>/<image_name> .\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFor \u003Ccode\u003Eimage_name\u003C/code\u003E, use \u003Ccode\u003Emy_echo_service_image:latest\u003C/code\u003E.\u003C/p\u003E\n\u003Col start=\"4\"\u003E\u003Cli\u003E\n","\u003Cp\u003ETo login to Docker, use \u003Ccode\u003Esnow spcs image-registry login\u003C/code\u003E.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EPush your image to Docker with the following command:\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Edocker push <repository_url>/<image_name>\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreate the service\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ECreate the service with the following command\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-console\"\u003Esnow spcs service create echo_service --compute-pool tutorial_compute_pool --min-instances 1 --spec-path spec.yaml\n\u003C/code\u003E\u003C/pre\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003EInspect your service with the following commands:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode\u003E# check that your service is listed\nsnow object list service\n\n# get the current status of the service\nsnow spcs service status echo_service\n\n# get the logs of the service\nsnow spcs service logs echo_service --container-name echo --instance-id 0\n\n# get detailed info on your service\nsnow object describe service echo_service\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EUse the service\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ETest the service endpoints using the UI. Start by retrieving the public endpoint of your service with:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode\u003Esnow spcs service list-endpoints echo_service\n\u003C/code\u003E\u003C/pre\u003E\n\u003Col start=\"2\"\u003E\u003Cli\u003E\n","\u003Cp\u003EIn your web browser, navigate to \u003Ccode\u003E<endpoint_url>/ui\u003C/code\u003E.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EType in some input and press \u003Ccode\u003Ereturn\u003C/code\u003E or \u003Ccode\u003EEnter\u003C/code\u003E on your keyboard\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EYou should see output like the following, which is what was specified in \u003Cstrong\u003Eecho_service.py\u003C/strong\u003E:\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-cli/echo_service_ui.png\" alt=\"ui for the service\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EClean up\u003C/h3\u003E\n","\u003Cp\u003EFinally, clean up billable resources by suspending or dropping \u003Ccode\u003Etutorial_compute_pool\u003C/code\u003E and \u003Ccode\u003Etutorial_warehouse\u003C/code\u003E. Run the following commands:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E# suspend (currently no native SnowCLI support for suspending warehouses)\nsnow spcs compute-pool suspend tutorial_compute_pool\nsnow sql -q "alter warehouse tutorial_warehouse suspend" \n\n# drop\nsnow object drop compute-pool tutorial_compute_pool\nsnow object drop warehouse tutorial_warehouse\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion\u003C/h2\u003E\n","\u003Cp\u003ECongratulations! In just a few short steps, you were able to get up and running with Snowflake CLI for connection and object management, working with stages, and building and deploying Snowpark projects, Snowflake Native App and Streamlit applications.\u003C/p\u003E\n","\u003Ch3\u003EWhat we've covered\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESnowflake CLI setup\u003C/li\u003E\u003Cli\u003EConnection management in Snowflake CLI\u003C/li\u003E\u003Cli\u003EUploading data using Snowflake CLI\u003C/li\u003E\u003Cli\u003EExecuting SQL using Snowflake CLI\u003C/li\u003E\u003Cli\u003EManaging Snowflake objects using the CLI\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAdditional resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/LIMITEDACCESS/snowcli-v2/snowcli-guide\"\u003ESnowflake CLI Guide\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"description":"Getting Started with Snowflake CLI","title":"Getting Started with Snowflake CLI","isDeveloperGuidesPage":false,"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview \n\n\nSnowflake CLI is a command-line interface designed for developers building apps on Snowflake. Using Snowflake CLI, you can manage a Snowflake Native App, Snowpark functions, stored procedures, Snowpark Container Services, and much more. This guide will show you how to configure and efficiently use Snowflake CLI.\n\n\n\n### Prerequisites\n- [Video: Introduction to Snowflake](https://www.youtube.com/watch?v=gGPKYGN0VQM)\n- [Video: Snowflake Data Loading Basics](https://youtu.be/htLsbrJDUqk?si=vfTjL6JaCdEFdiSG)\n- Basic knowledge of Snowflake concepts\n- You'll need a Snowflake account. You can sign up for a free 30-day trial account here: [https://signup.snowflake.com/](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides).\n\n### What You’ll Learn\n- How to install Snowflake CLI\n- How to configure Snowflake CLI\n- How to switch between different Snowflake connections\n- How to download and upload files using Snowflake CLI\n- How to execute SQL using Snowflake CLI\n- How to manage Snowflake objects\n- How to build and deploy Snowpark and Streamlit applications\n- How to build and deploy a Snowflake Native App\n- How to create and deploy Snowpark Container Services projects\n\n\u003C!-- ------------------------ --\u003E\n## Install Snowflake CLI\nFirst, you’ll install the Snowflake CLI, and later you'll configure it to connect to your Snowflake account.\n\n### Create a Snowflake Account\n\nYou'll need a Snowflake account. You can sign up for a free 30-day trial account here: [https://signup.snowflake.com/](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides).\n\n### Access Snowflake’s Web Interface\n\nNavigate to [https://app.snowflake.com/](https://app.snowflake.com/) and log into your Snowflake account.\n\n\n### Install the Snowflake CLI \n\nSnowflake CLI can be installed on Linux, Windows, or Mac. To install it we recommend using\npackage manager dedicated for your operating system. Follow the detailed instruction from the [official documentation](https://docs.snowflake.com/developer-guide/snowflake-cli/installation/installation#install-sf-cli-using-package-managers)\nto install the CLI.\n\nOnce the CLI has been successfully installed, run the following command to verify that it was successfully installed:\n\n```bash\nsnow --help\n```\n\nIf Snowflake CLI was installed successfully, you should see output similar to the following:\n\n```bash\nUsage: snow [OPTIONS] COMMAND [ARGS]...                                                        \n                                                                                                \n Snowflake CLI tool for developers.                                                             \n                                                                                                \n╭─ Options ────────────────────────────────────────────────────────────────────────────────────╮\n│ --version                    Shows version of the Snowflake CLI                              │\n│ --info                       Shows information about the Snowflake CLI                       │\n│ --config-file          FILE  Specifies Snowflake CLI configuration file that should be used  │\n│                              [default: None]                                                 │\n│ --help         -h            Show this message and exit.                                     │\n╰──────────────────────────────────────────────────────────────────────────────────────────────╯\n╭─ Commands ───────────────────────────────────────────────────────────────────────────────────╮\n│ app         Manages a Snowflake Native App                                                   │\n│ connection  Manages connections to Snowflake.                                                │\n│ object      Manages Snowflake objects like warehouses and stages                             │\n│ snowpark    Manages procedures and functions.                                                │\n│ spcs        Manages Snowpark Container Services compute pools, services, image registries,   │\n│             and image repositories.                                                          │\n│ sql         Executes Snowflake query.                                                        │\n│ streamlit   Manages Streamlit in Snowflake.                                                  │\n╰──────────────────────────────────────────────────────────────────────────────────────────────╯\n```\n\n### Troubleshooting\n\nYou may encounter an error like the following when attempting to use Snowflake CLI for the first time:\n\n```console\n╭─ Error ──────────────────────────────────────────────────────────────────────────────────────╮\n│ Configuration file /Users/yourusername/.snowflake/config.toml has too wide permissions, run    │\n│ `chmod 0600 \"/Users/yourusername/.snowflake/config.toml\"`                                      │\n╰──────────────────────────────────────────────────────────────────────────────────────────────╯\n```\n\nIn this case, run `chmod 0600 \"/Users/yourusername/.snowflake/config.toml\"` in the terminal to update the permissions on the file. After running this command, run `snow --help` again. You should see the output shown earlier in this section.\n\n### Configure connection to Snowflake\n\nSnowflake CLI uses a [configuration file named **config.toml** for storing your Snowflake connections](https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/connecting/specify-credentials#how-to-add-snowflake-credentials-using-a-configuration-file) . This file is created automatically when\nyou run Snowflake CLI for the first time. The file is typically created at **~/.snowflake/config.toml**, but to confirm the default config file path, run the following command:\n\n```console\nsnow --info\n```\n\nThe output will be an array of dictionaries. One of the dictionaries will contain the default config file path, similar to the following:\n\n\n```console\n...\n\n{\n  \"key\": \"default_config_file_path\",\n  \"value\": \"/Users/yourusername/.snowflake/config.toml\n},\n\n...\n```\n\nYou can add your connection details within **config.toml** either manually or by using Snowflake CLI. Let's add a connection using Snowflake CLI.\n\nTo add a new connection, run the following:\n\n```bash\nsnow connection add\n```\n\nThe command will guide you through defining a connection. You can omit all fields denoted by `[optional]` by pressing \"Enter\" or \"return\" on your keyboard.\n\nHere's an example:\n\n```console\nName for this connection: my_connection\nSnowflake account name: my_account\nSnowflake username: jdoe\nSnowflake password [optional]: \nRole for the connection [optional]: \nWarehouse for the connection [optional]: \nDatabase for the connection [optional]: \nSchema for the connection [optional]: \nConnection host [optional]: \nConnection port [optional]: \nSnowflake region [optional]: \nAuthentication method [optional]: \nPath to private key file [optional]: \n```\nFor more detailed information about configuring connections see DOCS LINK.\n\n### Test connection to Snowflake\n\nTo test a connection to Snowflake, run the following command\n\n```bash\nsnow connection test --connection my_connection\n```\n\nIn the example above, we use `my_connection` as the connection name, as it corresponds to the prior example connection. To test your connection, replace `my_connection` with the name of the connection you defined during the connection definition process.\n\n\u003C!-- ------------------------ --\u003E\n## Working with connections\n\nAn understanding of connections is critical for efficiently working with Snowflake CLI. In the next step, you'll learn how to work with connections.\n\n### Default connection\n\nYou can define a default Snowflake connection by adding the following at the top of **config.toml**:\n\n```toml\ndefault_connection_name = \"my_connection\"\n```\n\nThis is the connection that will be used by default if you do not specify a connection name when using the `-c` or `--connection` flag with Snowflake CLI.\n\nYou can also set a default connection directly from the terminal:\n\n```bash\nsnow connection set-default \u003Cconnection-name\u003E\n```\n\nRunning `set-default` will update your `config.toml` file to use the specified connection as the default connection. This command is incredibly convenient if you work across multiple Snowflake accounts.\n\n### Using multiple connections\n\nBy default, Snowflake CLI commands operate within context of a specified connection. The only required fields in a named connection in **config.toml** are `user` and `account`, however, many Snowflake CLI commands require `database`, `schema`, or `warehouse` to be set in order for a command to be successful. For this reason, it's convenient to proactively set these fields in your named connections:\n\n```toml\n[connections.my_connection]\nuser = \"jdoe\"\naccount = \"my_account\"\ndatabase = \"jdoe_db\"\nwarehouse = \"xs\"\n```\n\nThis is especially recommended if you usually work with a particular context (i.e., a single database, dedicated warehouse, or role, etc.).\n\nIf you switch your Snowflake context often (for example, when using different roles), it's good practice to define several connections that each correspond to a specific context, like so:\n\n```toml\n[connections.admin_connection]\nuser = \"jdoe\"\naccount = \"my_account\"\nrole = \"accountadmin\"\n\n[connections.eng_connection]\nuser = \"jdoe\"\naccount = \"my_account\"\nrole = \"eng_ops_rl\"\n```\n\nIn such cases, switching between multiple connections can be easily done by using the `snow connection set-default` command shown previously.\n\n### Overriding connection details\n\nThere may be instances where you might want to override connection details without directly editing **config.toml**. You can do this in one of the following ways:\n\n1. Using connection flags in CLI commands\n2. Using environment variables\n\n#### Using CLI flags\n\nAll commands that require an established connection to Snowflake support the following flags:\n\n```console\n╭─ Connection configuration ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n│ --connection,--environment  -c      TEXT  Name of the connection, as defined in your `config.toml`. Default: `default`.                                                                                 │\n│ --account,--accountname             TEXT  Name assigned to your Snowflake account. Overrides the value specified for the connection.                                                                    │\n│ --user,--username                   TEXT  Username to connect to Snowflake. Overrides the value specified for the connection.                                                                           │\n│ --password                          TEXT  Snowflake password. Overrides the value specified for the connection.                                                                                         │\n│ --authenticator                     TEXT  Snowflake authenticator. Overrides the value specified for the connection.                                                                                    │\n│ --private-key-path                  TEXT  Snowflake private key path. Overrides the value specified for the connection.                                                                                 │\n│ --database,--dbname                 TEXT  Database to use. Overrides the value specified for the connection.                                                                                            │\n│ --schema,--schemaname               TEXT  Database schema to use. Overrides the value specified for the connection.                                                                                     │\n│ --role,--rolename                   TEXT  Role to use. Overrides the value specified for the connection.                                                                                                │\n│ --warehouse                         TEXT  Warehouse to use. Overrides the value specified for the connection.                                                                                           │\n│ --temporary-connection      -x            Uses connection defined with command line parameters, instead of one defined in config                                                                        │\n│ --mfa-passcode                      TEXT  Token to use for multi-factor authentication (MFA)                                                                                                            │\n╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n```\n\nYou can access this list by running any Snowflake CLI command with `--help`.\n\nYou can override any of the connection settings above directly from the CLI. Overriding a connection detail using a CLI flag will always take precedence over other overwriting methods (as in the next section).\n\n#### Using environment variables\n\nAnother option for overriding connection details is to use environment variables. This option is recommended for passwords or any other sensitive information, especially if you use Snowflake CLI with external systems (e.g., CI/CD pipelines, etc.)\n\nFor every connection field, there are two flags:\n\n1. A generic flag in form of `SNOWFLAKE_[KEY]`\n\n2. A connection-specific flag in form of `SNOWFLAKE_CONNECTIONS_[CONNECTION_NAME]_[KEY]`\n\nConnection specific flags take precedence over generic flags. \n\nLet's take a look at an example, where we test a connection with a role that doesn't exist in that Snowflake environment:\n\n```bash\nSNOWFLAKE_ROLE=funny_role snow connection test\n```\n\nIf the role does not exist, you should see error similar the one below:\n\n```console\n╭─ Error ───────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n│ Invalid connection configuration. 250001 (08001): None: Failed to connect to DB: myacc.snowflakecomputing.com:443.    │\n│ Role 'FUNNY_ROLE' specified in the connect string does not exist or not authorized. Contact your local system         │\n│ administrator, or attempt to login with another role, e.g. PUBLIC.                                                    │\n╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n```\n\n### Using temporary connection\n\nIn situations where you are unable to add a new connection to **config.toml**, you may specify a temporary connection directly from the command line using the `-x` or `--temporary-connection` flags. These flags allow you to specify connection details inline, like so:\n\n\n```bash\nsnow sql -q \"SELECT r_value FROM my_table LIMIT 10\" -x --account=\u003Caccount_name\u003E --user=\u003Cuser_name\u003E --password=\u003Cyour_password\u003E\n```\n\nIn the example above, we establish a temporary connection to Snowflake and execute the `SELECT r_value FROM my_table LIMIT 10` SQL statement.\n\n\u003E \n\u003E \n\u003E **Note:** If your account does not allow password authentication, use proper authentication using `--authenticator`.\n\n\n## Using Snowflake CLI to execute SQL commands\n\nSnowflake CLI enables basic execution of SQL. In this step you will learn how to execute ad-hoc queries or entire SQL files.\n\n### The `sql` command\n\nTo execute SQL queries using Snowflake CLI, you can use the `snow sql` command. \n\nThe `snow sql` command can be run as follows:\n\n```console\nsnow sql --help                \n                                                                                                                         \n Usage: snow sql [OPTIONS]                                                                                               \n                                                                                                                         \n Executes Snowflake query.                                                                                               \n Query to execute can be specified using query option, filename option (all queries from file will be executed) or via   \n stdin by piping output from other command. For example `cat my.sql | snow sql -i`.                                      \n                                                                                                                         \n╭─ Options ─────────────────────────────────────────────────────────────────────────────────────────────────────────────╮\n│ --query     -q      TEXT  Query to execute. [default: None]                                                           │\n│ --filename  -f      FILE  File to execute. [default: None]                                                            │\n│ --stdin     -i            Read the query from standard input. Use it when piping input to this command.               │\n│ --help      -h            Show this message and exit.                                                                 │\n╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\n```\n\nWhenever you're working with a new Snowflake CLI command, consider running it initially with the `--help` flag  to learn more about how to use it.usages.\n\n### Executing ad-hoc query\n\nTo execute an ad-hoc query run the following command:\n```bash\nsnow sql --query \"select 1 as a, 2 as b, 3 as c\"\n```\n\nThis command will output the following:\n\n```\n+-----------+\n| A | B | C |\n|---+---+---|\n| 1 | 2 | 3 |\n+-----------+\n\n```\n\nYou can execute multiple queries using `--query` parameter. For example:\n```bash\nsnow sql --query \"select 42 as a; select 2 as b\"\n```\n\nThis will return result for each query separately:\n```\nselect 42 as a;\n+----+\n| A  |\n|----|\n| 42 |\n+----+\n\nselect 2 as b\n+---+\n| B |\n|---|\n| 2 |\n+---+\n```\n\n#### Process the output programmatically\n\nYou may encounter situations where you might want to process the output of a SQL query programmatically. To do this, you'll need to change the output format of the command output. \n\nCurrently Snowflake CLI supports only JSON output. To format the output of your SQL queries to JSON, you'll need to add `--format=JSON` to your query commands.\n\nLet's re-run the above examples using JSON format. To do so run the following command:\n```bash\nsnow sql --query \"select 1 as a, 2 as b, 3 as c\" --format=JSON\n```\nThis will return data as single array (because there's only single query) with rows:\n```json\n[\n  {\n    \"A\": 1,\n    \"B\": 2,\n    \"C\": 3\n  }\n]\n```\n\nNext run the other example with JSON format:\n\n```bash\nsnow sql --query \"select 42 as a; select 2 as b\" --format=JSON\n```\nIn this case data will be returned as array of arrays due to executing multiple queries:\n```json\n[\n  [\n    {\n      \"A\"  :   42\n    }\n  ],\n  [\n    {\n      \"B\"  :   2\n    }\n  ]\n]\n\n```\n\n### Executing query from file\n\nSnowflake CLI also allows you to execute SQL files. Let's start by preparing a SQL file with a very simple script.\n\nFirst, write `select 1` to a file called **test.sql**. This will create the file in your working directory.\n\n```bash\necho \"select 1 as a;\" \u003E\u003E test.sql\n```\n\nNext, execute the contents of the file by running the following:\n\n```bash\nsnow sql --filename test.sql\n```\n\nAs a result you should see the following output:\n```console\n+---+\n| a |\n|---|\n| 1 |\n+---+\n```\n\n### Templating SQL queries\n\nIn many case you may want to change your queries depending on some context, for example type of environment (production vs. testing).\nThis is possible thanks to client-side templating in Snowflake CLI. We call it client-side to distinguish if from [server-side rendering\nsupported by EXECUTE IMMEDIATE FROM](https://docs.snowflake.com/en/sql-reference/sql/execute-immediate-from#jinja2-templating).\n\nSnowflake CLI is using `\u003C% VARIABLE_NAME %\u003E` pattern for specifying variables in SQL. You can use templates in both ad-hoc queries\nand files.\n\nVariables can be defined using `-D/--variable` flag in `snow sql` command. The input for this flag has to be in form of\n`key=value` string.\n\nTo test out the templating functionality run the following command:\n```bash\nsnow sql -q \"select \u003C% my_var %\u003E + 2\" -D \"my_var=40\"\n```\nin the result you should see the following:\n```console\nselect 40 + 2\n+--------+\n| 40 + 2 |\n|--------|\n| 42     |\n+--------+\n```\n\n## Managing Snowflake objects\n\nSnowflake CLI offers commands for generic object operations like `SHOW`, `DROP` and `DESCRIBE`. Those commands are available under `snow object` command.\n\n### Prerequisites\n\nLet's create a new database using `snow sql`:\n\n```bash\nsnow sql -q \"create database snowflake_cli_db\"\n```\n\n### Listing objects\n\nSnowflake CLI allows you to list existing objects of given type. In this example we will use `database`` as the type.\n\nTo list available databases to you run:\n\n```bash\nsnow object list database\n```\n\nYou can filter results by specifying `--like` flag. For example running the following command should return only one database:\n\n```bash\nsnow object list database --like=snowflake_cli_db\n```\n\nTo learn more about supported objects, run `snow object list --help`.\n\n### Describing objects\n\nSnowflake CLI allows you to describe objects of a given type. In this example, we will use `database`` as the type.\n\nBy running the following command you will get details of the database we created in previous steps:\n\n```bash\nsnow object describe database snowflake_cli_db\n```\n\nTo check for list of supported objects run `snow object describe --help`.\n\n\n### Dropping objects\n\nSnowflake CLI allows you to drop existing objects of a given type. In this example we will use `database`` as the type.\n\nBy running the following command you will drop the database we created in previous steps:\n\n```bash\nsnow object drop database snowflake_cli_db\n```\n\nTo check for list of supported objects run `snow object drop --help`.\n\n## Using Snowflake CLI to work with stages\n\nYou can use Snowflake CLI to work with stages. In this step you will learn how to use the `snow stage` commands.\n\n### Prerequisites\n\nCommands in this section require a `database` and `schema` to be specified in your connection details. If you skipped creating `snowflake_cli_db` database in previous steps, you should create it now by running the following command:\n\n```bash\nsnow sql -q \"create database snowflake_cli_db\"\n```\n\nAfter running the command you should see output similar to this one:\n```console\n+---------------------------------------------------+\n| status                                            |\n|---------------------------------------------------|\n| Database SNOWFLAKE_CLI_DB successfully created.   |\n+---------------------------------------------------+\n```\n\n### Creating a stage\n\nYou can create a new stage using by running the following command:\n\n```bash\nsnow stage create snowflake_cli_db.public.my_stage\n```\n\nIf the command succeeds, you should see the following output:\n\n```console\n+----------------------------------------------------+\n| key    | value                                     |\n|--------+-------------------------------------------|\n| status | Stage area MY_STAGE successfully created. |\n+----------------------------------------------------+\n```\n\n### Uploading files to a stage\n\nNow that the stage is created, you can upload files from your local file system to the stage. First, you'll need to create these files before uploading them.\n\nLet's create an empty CSV file:\n\n```bash\ntouch data.csv\n```\n\nNext, upload this file to the stage by running the following command:\n\n```bash\nsnow stage copy data.csv @snowflake_cli_db.public.my_stage\n```\n\nRunning this command should return the following output:\n\n```console\n+----------------------------------------------------------------------------------------------------------------+\n| source   | target   | source_size | target_size | source_compression | target_compression | status   | message |\n|----------+----------+-------------+-------------+--------------------+--------------------+----------+---------|\n| data.csv | data.csv | 0           | 16          | NONE               | NONE               | UPLOADED |         |\n+----------------------------------------------------------------------------------------------------------------+\n```\n\n### Listing stage contents\n\nAt this point you should have a stage with a single file in it. To list the contents of the stage, you can run:\n\n```bash\nsnow stage list @snowflake_cli_db.public.my_stage \n```\n\nAfter running this command you should see output similar to the folowing:\n\n```console\n+--------------------------------------------------------------------------------------------+\n| name              | size | md5                              | last_modified                |\n|-------------------+------+----------------------------------+------------------------------|\n| my_stage/data.csv | 16   | beb79a90840ec142a6586b03c2893c77 | Fri, 1 Mar 2024 20:56:24 GMT |\n+--------------------------------------------------------------------------------------------+\n```\n\n### Downloading a file from stage\n\nYou can also download files from a stage. Let's download the CSV file we just uploaded.\n\nYou can download files from a stage using the same `snow stage copy`` command, only this time you will replace the order of the arguments.\n\nTo download the file from the stage to your current working directory run the following command:\n\n```bash\nsnow stage copy @snowflake_cli_db.public.my_stage/data.csv .\n```\n\nThis command should return output similar to the following:\n\n```console\n+----------------------------------------+\n| file     | size | status     | message |\n|----------+------+------------+---------|\n| data.csv | 0    | DOWNLOADED |         |\n+----------------------------------------+\n```\n\n### Removing stage\n\nLastly, you can use Snowflake CLI to remove a stage. You can do this with the `snow object drop` command.\n\nTo remove the stage you created for this tutorial, run:\n```bash\nsnow object drop stage snowflake_cli_db.public.my_stage\n```\n\nIn the output, you should see a message like this one:\n\n```console\n+--------------------------------+\n| status                         |\n|--------------------------------|\n| MY_STAGE successfully dropped. |\n+--------------------------------+\n```\n\n## Building applications using Snowflake CLI\n\nIn the next steps, you'll learn how to use Snowflake CLI to bootstrap and develop Snowpark, Snowflake Native App and Streamlit apps. \n\n## Working with Snowpark applications\n\nLet's take a look at how Snowflake CLI can support development of Snowpark applications with multiple functions and procedures.\n\n### Initializing Snowpark project\n\nYou can use Snowflake CLI to initialize a Snowpark project. To do so, run the following command\n\n```bash\nsnow init my_project --template example_snowpark      \n```\n\nRunning this command will create a new `my_project` directory. Now move to this new directory by running:\n\n```bash\ncd my_project\n```\n\nThis new directory include:\n- **snowflake.yml** – a project definition file that includes definitions of procedures and functions\n\n- **requirements.txt** – a requirements file for this Python project.\n\n- **app/** - directory with Python code for your app\n\nIn its initial state, the project defines:\n\n- A function called `hello_function(name string)`\n\n- Two procedures: `hello_procedure(name string)` and `test_procedure()`\n\n### Building Snowpark project\n\nWorking with a Snowpark project requires two main steps: building and deploying. In this step you will build the project.\n\nBuilding a Snowpark project results in the creation of a ZIP file. The name of the ZIP file is the same as the value of the `snowpark.src` key from `snowflake.yml`. The archive contains code for your application, as well as downloaded dependencies that were defined in **requirements.txt** (not present in Snowflake's Anaconda channel).\n\nYou can build the project by running:\n\n```bash\nsnow snowpark build\n```\n\n### Deploying the Snowpark project\n\nThe next step is to deploy the Snowpark project. This step uploads your \ncode and required dependencies to a stage in Snowflake. At this point, functions and procedures will be created in your Snowflake account.\n\nBefore deploying the project, you will need to create a database to store the the functions and procedures. This is also where the stage will be created.\n\nTo create a database, use the `snow sql` command:\n\n```bash\nsnow sql -q \"create database snowpark_example\"\n```\n\nNow, you can deploy the project to the newly created database:\n\n```bash\nsnow snowpark deploy --database=snowpark_example\n```\n\nThis will result in the creation of the functions and procedures. After the process is completed you should see message similar to this one:\n\n```console\n+----------------------------------------------------------------------------+\n| object                                               | type      | status  |\n|------------------------------------------------------+-----------+---------|\n| SNOWPARK_EXAMPLE.PUBLIC.HELLO_PROCEDURE(name string) | procedure | created |\n| SNOWPARK_EXAMPLE.PUBLIC.TEST_PROCEDURE()             | procedure | created |\n| SNOWPARK_EXAMPLE.PUBLIC.HELLO_FUNCTION(name string)  | function  | created |\n+----------------------------------------------------------------------------+\n```\n\n### Executing functions and procedures\n\nYou have successfully deployed Snowpark functions and procedures. Now you can execute them to confirm that they function as intended.\n\nTo execute the `HELLO_FUNCTION` function run the following\n```bash\nsnow snowpark execute function \"SNOWPARK_EXAMPLE.PUBLIC.HELLO_FUNCTION('jdoe')\"\n```\n\nRunning this command should return output similar to this:\n\n```console\n+--------------------------------------------------------------+\n| key                                            | value       |\n|------------------------------------------------+-------------|\n| SNOWPARK_EXAMPLE.PUBLIC.HELLO_FUNCTION('JDOE') | Hello jdoe! |\n+--------------------------------------------------------------+\n```\n\nTo execute the `HELLO_PROCEDURE` procedure run the following command:\n\n```bash\nsnow snowpark execute procedure \"SNOWPARK_EXAMPLE.PUBLIC.HELLO_PROCEDURE('jdoe')\"\n```\n\nRunning this command should return an output similar to this one:\n```console\n+-------------------------------+\n| key             | value       |\n|-----------------+-------------|\n| HELLO_PROCEDURE | Hello jdoe! |\n+-------------------------------+\n```\n\n## Working with a Snowflake Native App\n\nLet's take a look at how Snowflake CLI can support development of a Snowflake Native App.\n\n### Initializing a Snowflake Native App project\n\nYou can use Snowflake CLI to initialize a Snowflake Native App project. To do so, run the following command\n\n```bash\nsnow app init na_streamlit_project --template streamlit-python\n```\n\nRunning this command will create a new `na_streamlit_project` directory from a predetermined template provided by Snowflake called `streamlit-python`. For a full list of templates, check out the official [Snowflake Native App templates repo](https://github.com/snowflakedb/native-apps-templates/tree/main). \n\nOnce the directory is created, navigate to it by running:\n\n```bash\ncd na_streamlit_project\n```\n\nThis new directory includes:\n- **snowflake.yml** – a project definition file that includes information about the Snowflake Native App that you will create.\n\n- **src/** – a directory that contains all the source code for stored procedures, UDFs and streamlit application.\n\n- **app/** - a directory that contains the files required by Snowflake Native App such as manifest.yml and a setup script.\n\n- **scripts/** - a directory that contains scripts that will be run as part of the Snowflake Native App creation.\n\nThis template will be used to build a simple calculator as a Snowflake Native App.\n\n### Building a Snowflake Native App\n\nWorking with this Snowflake Native App project involves two main steps: deploying an application package and creating an application object from this application package.\n\nThe following step will create an application package for you, upload the files specified in **snowflake.yml** to a stage, run any scripts in **scripts/** if they are specified in **snowflake.yml**, and create an application object from this application package using named files on the stage. \n\nYou can achieve all of the above from your project by running a single commnad:\n\n```bash\nsnow app run\n```\n\nAs a note, this template assumes that the role and warehouse you specified in your **config.toml** file has the required privileges to create an application package and an application object. If you did not specify either in **config.toml** file, then the default role and/or warehouse assigned to your user will be used. \n\nAfter the process is completed you should see message similar to this one:\n\n```console\nYour application object na_streamlit_project_$USER is now available:\nhttps://app.snowflake.com/.../apps/application/na_streamlit_project_$USER\n```\n\nwhere `$USER` is populated from the environment variable from your machine. This will navigate you directly to the application object created in your account.\n\n### Executing functions and procedures in your application object\n\nYou have successfully created an application object in your account. Now you can use either the Streamlit UI or SQL to interact with it. \n\nTo execute the `core.add` function in the application object using SQL, run the following\n```bash\nsnow sql -q \"select na_streamlit_project_$USER.core.add(1, 2)\"\n```\nreplacing `na_streamlit_project_$USER` with the actual name of your application object. This will output the result of the function call also on the console.\n\n### Opening a Snowflake Native App from the command line\n\nSnowflake CLI also allows you to retrieve the URL for a Snowflake Native App, as well as open the app directly from the command line. To open the application created in previous step while still in the project directory,\nrun:\n\n```bash\nsnow app open\n```\n\nThis will open the Snowflake Native App in your browser.\n\n### Dropping a Snowflake Native App from the command line\n\nSnowflake CLI allows you to drop both the application object and the application package you created as part of the previous `snow app run` in one go. To do that, run:\n\n```bash\nsnow app teardown\n```\n\nThis will drop both the objects for you. As a note, it will not drop any other roles, databases, warehouses etc associated with the Snowflake Native App project.\n\n## Working with Streamlit applications\n\nSnowflake CLI also provides commands to work with Streamlit applications. In this step you will learn how to deploy a Streamlit application using Snowflake CLI.\n\n### Initializing Streamlit project\n\nStart by initializing a Streamlit project. To do so, run:\n\n```bash\nsnow init streamlit_app --template example_streamlit\n```\n\nBy running this command a new `streamlit_app` directory will be created. Similar to a Snowpark project, this directory also includes also a **snowflake.yml** file which defines the Streamlit app.\n\nNavigate to this new project directory by running:\n\n```bash\ncd streamlit_app/\n```\n\n### Deploying a Streamlit project\n\nThe next step is to deploy the Streamlit application. Before deploying you will need to create database where the Streamlit and related sources will live. To do so run:\n\n```bash\nsnow sql -q \"create database streamlit_example\"\n```\n\nYou'll also need a warehouse to deploy the Streamlit application. If you already have a warehouse that you can use, then you should update the Streamlit definition in the **snowflake.yml** file to use the specified warehouse:\n```yml\ndefinition_version: 1\nstreamlit:\n  # ...\n  query_warehouse: \u003Cwarehouse_name\u003E\n```\n\nOnce you specify an existing warehouse, you can deploy the Streamlit application by running:\n\n```bash\nsnow streamlit deploy --database=streamlit_example\n```\n\nSuccessfully deploying the Streamlit should result in message similar to this one:\n```console\nStreamlit successfully deployed and available under https://app.snowflake.com/.../streamlit-apps/STREAMLIT_EXAMPLE.PUBLIC.STREAMLIT_APP\n```\n\n### Opening Streamlit app from the command line\n\nSnowflake CLI also allows you to retrieve the URL for a Streamlit app, as well as open the app directly from the command line. To open the application created in previous step\nrun:\n```bash\nsnow streamlit get-url streamlit_app --database=streamlit_example --open\n```\n\u003C!-- ------------------------ --\u003E\n## Working with Snowpark Container Services \n\n\u003E \n\u003E \n\u003E **Note:** Snowpark Container Services is currently in Public Preview in select AWS [regions](https://docs.snowflake.com/en/developer-guide/snowpark-container-services/overview?_fsi=g3LX4YOG&_fsi=g3LX4YOG#available-regions). In addition, trial accounts do not support Snowpark Container Services. Reach out to your Snowflake account team to enable your account for Snowpark Container Services.\n\nYou can also manage Snowpark Container Services with Snowflake CLI. In this step, you'll learn how to create and use Snowpark Container Services with Snowflake CLI. To proceed, you'll need the following prerequisites:\n\n* A Snowflake account with Snowpark Container Services enabled\n* A user in your Snowflake account with ACCOUNTADMIN privileges\n* [Docker Desktop](https://docs.docker.com/get-docker/) installed on your computer\n\n### Download the source code\n\nDownload the source code for this section: [snowflake_cli_snowpark_container_services](https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/snowflake_cli_snowpark_container_services)\n\n\n### Set up your connection\n\n1. Navigate to the downloaded folder (i.e., `cd snowflake_cli_snowpark_container_services`, or wherever you saved the source code).\n\n2. Setup the connection for your admin user by running `snow connection add` and filling in the admin user login along with the following settings:\n\n```console\nName for this connection: admin\nSnowflake account name: \u003Caccount_name\u003E\nSnowflake username: \u003Cadmin_user\u003E\nSnowflake password [optional]: \u003Cpassword\u003E (note that your password input will be hidden)\nRole for the connection [optional]: accountadmin\n```\n\n### Create a test role\n\n3. Edit the **setup/admin_setup.sql** file and fill in `\u003Cuser_name\u003E` with the name of the test user.\n\n4. Run `snow sql -f setup/admin_setup.sql -c admin`. This does the following:\n\n* Creates a role (`test_role`) and other Snowflake objects. To create the role and objects, you must use the ACCOUNTADMIN role. (This restriction helps to control costs and manage business information risks.) The script also grants the `test_role` role the privileges needed to manage the newly created objects.\n\n* Grants the role to the specified test user, who then uses the role to explore the tutorial.\n\n### Set up a connection for your test role\n\n5. Setup the connection for your test user by running `snow connection add` and filling in the user login as well as the following settings: \n\n```console\nName for this connection: default\nSnowflake account name: \u003Caccount_name\u003E\nSnowflake username: \u003Ctest_user\u003E\nSnowflake password [optional]: \u003Cpassword\u003E (note that your password input will be hidden)\nRole for the connection [optional]: tutorial_role\nWarehouse for the connection [optional]: tutorial_warehouse\nDatabase for the connection [optional]: tutorial_db\nSchema for the connection [optional]: data_schema\n```\n\n### Create an image repository for your service code\n\n6. Run `snow sql -f setup/user_setup.sql`. This does the following:\n\n* Creates a schema for your image repository and service.\n\n* Creates an image repository to store your service code (container images).\n\n### Verify proper set up\n\n7. Verify that you have the correct objects from the setup with the following commands\n\n```console\n# should describe your newly created compute pool\nsnow object describe compute-pool tutorial_compute_pool\n\n# should describe your newly created warehouse\nsnow object describe warehouse tutorial_warehouse\n\n# confirms that tutorial repository exists and also returns the url\nsnow spcs image-repository url tutorial_repository\n```\n\n### Build an image and upload it to an image repository\n\n1. Get the repository URL by running:\n \n```console\nsnow spcs image-repository url tutorial_repository\n```\n\nYou could also run the following handy command to retrieve the repository URL and store it:\n\n```console\nrepo_url=$(snow spcs image-repository url tutorial_repository)\nimage_name=\"my_echo_service_image:latest\"\n\n```\n\n2. Open another terminal window, and change to the `snowflake_cli_snowpark_container_services/tutorial` directory.\n\n3. To build a Docker image, execute the following docker build command using the Docker CLI. Note the command specifies the current working directory (`.`) as the PATH for files to use for building the image. You may need to update it according to your preferred directory structure.\n\n```console\ndocker build --rm --platform linux/amd64 -t \u003Crepository_url\u003E/\u003Cimage_name\u003E .\n```\n\nFor `image_name`, use `my_echo_service_image:latest`. \n\n4. To login to Docker, use `snow spcs image-registry login`.\n\n5. Push your image to Docker with the following command:\n\n```console\ndocker push \u003Crepository_url\u003E/\u003Cimage_name\u003E\n```\n\n### Create the service\n\n1. Create the service with the following command\n\n```console\nsnow spcs service create echo_service --compute-pool tutorial_compute_pool --min-instances 1 --spec-path spec.yaml\n```\n\n2. Inspect your service with the following commands:\n\n```\n# check that your service is listed\nsnow object list service\n\n# get the current status of the service\nsnow spcs service status echo_service\n\n# get the logs of the service\nsnow spcs service logs echo_service --container-name echo --instance-id 0\n\n# get detailed info on your service\nsnow object describe service echo_service\n```\n\n### Use the service\n\n1. Test the service endpoints using the UI. Start by retrieving the public endpoint of your service with:\n\n```\nsnow spcs service list-endpoints echo_service\n```\n\n2. In your web browser, navigate to `\u003Cendpoint_url\u003E/ui`.\n\n3. Type in some input and press `return` or `Enter` on your keyboard\n\n\n4. You should see output like the following, which is what was specified in **echo_service.py**:\n\n![ui for the service](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-cli/echo_service_ui.png)\n\n\n### Clean up\n\nFinally, clean up billable resources by suspending or dropping `tutorial_compute_pool` and `tutorial_warehouse`. Run the following commands:\n\n```\n# suspend (currently no native SnowCLI support for suspending warehouses)\nsnow spcs compute-pool suspend tutorial_compute_pool\nsnow sql -q \"alter warehouse tutorial_warehouse suspend\" \n\n# drop\nsnow object drop compute-pool tutorial_compute_pool\nsnow object drop warehouse tutorial_warehouse\n```\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion\n\nCongratulations! In just a few short steps, you were able to get up and running with Snowflake CLI for connection and object management, working with stages, and building and deploying Snowpark projects, Snowflake Native App and Streamlit applications.\n\n### What we've covered\n- Snowflake CLI setup\n- Connection management in Snowflake CLI\n- Uploading data using Snowflake CLI\n- Executing SQL using Snowflake CLI\n- Managing Snowflake objects using the CLI\n\n### Additional resources\n\n- [Snowflake CLI Guide](https://docs.snowflake.com/LIMITEDACCESS/snowcli-v2/snowcli-guide)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-2b3e907d99","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-5775b389e8",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-f4d8fbb4ea","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2025-12-20",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-ec9535b8f1","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake instances\u003C/span\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"}},":itemsOrder":["quickstart_last_modi","text"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-04d18d9d32",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{},":itemsOrder":[]},"isBlogPage":false,"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["contentfragment","flexible_column_cont"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-b1d70b03e8",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-8831f72677","isDeveloperGuidesPage":false,":type":"snowflake-site/components/quickstart/quickstart-table-of-content/quickstart-table-of-content-container",":items":{"quickstart_table_of_":{"id":"quickstart-table-of-content-a2069b951d","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/getting-started-with-snowflake-cli",":type":"snowflake-site/components/quickstart/quickstart-table-of-content","headings":["\u003Ch2\u003EOverview\u003C/h2\u003E","\u003Ch2\u003EInstall Snowflake CLI\u003C/h2\u003E","\u003Ch2\u003EWorking with connections\u003C/h2\u003E","\u003Ch2\u003EUsing Snowflake CLI to execute SQL commands\u003C/h2\u003E","\u003Ch2\u003EManaging Snowflake objects\u003C/h2\u003E","\u003Ch2\u003EUsing Snowflake CLI to work with stages\u003C/h2\u003E","\u003Ch2\u003EBuilding applications using Snowflake CLI\u003C/h2\u003E","\u003Ch2\u003EWorking with Snowpark applications\u003C/h2\u003E","\u003Ch2\u003EWorking with a Snowflake Native App\u003C/h2\u003E","\u003Ch2\u003EWorking with Streamlit applications\u003C/h2\u003E","\u003Ch2\u003EWorking with Snowpark Container Services\u003C/h2\u003E","\u003Ch2\u003EConclusion\u003C/h2\u003E"]},"quickstart_button":{"id":"quickstart-button-f987835e1d","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/getting-started-with-snowflake-cli",":type":"snowflake-site/components/quickstart/quickstart-button","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"}},":itemsOrder":["quickstart_table_of_","quickstart_button"]}},":itemsOrder":["quickstart_table_of_"]},"isBlogPage":false,"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container"},"markup_editor":{"id":"markup-editor-5e31ab48bf","title":"Page CSS","cssContent":"#quickstart-template-main-flexible-container{padding:24px}#quickstart-template-main-flexible-container \u003E .snowflake-flexible-column-container-items{grid-template-columns:1fr 0}.qs-disclaimer-text p \u003E span{font-size:15px !important}@media (min-width:768px){#quickstart-template-main-flexible-container{padding:24px 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