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alt=\"assets/cost_management_header.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EWelcome to the Powered by Tasty Bytes - Zero to Snowflake Quickstart focused on Cost Management!\u003C/p\u003E\n","\u003Cp\u003EWithin this Quickstart, we will learn about Cost Management in Snowflake by diving into Snowflake Warehouses and their configurability, Resource Monitors, Account and Warehouse Level Timeout Parameters, Budgets and Exploring Cost.\u003C/p\u003E\n","\u003Cp\u003EFor more detail on Cost Management in Snowflake please visit the \u003Ca href=\"https://docs.snowflake.com/en/guides-overview-cost#cost-management\"\u003ECost Management Overview documentation\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EBefore beginning, please make sure you have completed the \u003Ca href=\"/en/developers/guides/tasty-bytes-introduction/\"\u003E\u003Cstrong\u003EIntroduction to Tasty Bytes Quickstart\u003C/strong\u003E\u003C/a\u003E which provides a walkthrough on setting up a trial account and deploying the Tasty Bytes Foundation required to complete this Quickstart.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You Will Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to Create and Configure a Snowflake Warehouse\u003C/li\u003E\u003Cli\u003EHow to Scale a Snowflake Warehouse Up and Down\u003C/li\u003E\u003Cli\u003EHow to Suspend a Snowflake Warehouse\u003C/li\u003E\u003Cli\u003EHow to Create, Configure and Apply a Resource Monitor\u003C/li\u003E\u003Cli\u003EHow to Set Statement Timeout and Statement Queue Timeout Parameters on a Snowflake Warehouse and Snowflake Account.\u003C/li\u003E\u003Cli\u003EHow to Create a Tag and Assign it to a Warehouse\u003C/li\u003E\u003Cli\u003EHow to explore Cost with SQL or the Snowsight UI\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You Will Build\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA Snowflake Warehouse\u003C/li\u003E\u003Cli\u003EA Resource Monitor\u003C/li\u003E\u003Cli\u003EA Cost Center Tag\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003ECreating a Worksheet and Copying in our SQL\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EWithin this Quickstart we will follow a Tasty Bytes themed story via a Snowsight SQL Worksheet with this page serving as a side by side guide complete with additional commentary, images and documentation links.\u003C/p\u003E\n","\u003Cp\u003EThis section will walk you through logging into Snowflake, Creating a New Worksheet, Renaming the Worksheet, Copying SQL from GitHub, and Pasting the SQL we will be leveraging within this Quickstart.\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - Accessing Snowflake via URL\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EOpen a browser window and enter the URL of your Snowflake Account\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 2 - Logging into Snowflake\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ELog into your Snowflake account.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 3 - Navigating to Worksheets\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EClick on the Projects Tab in the left-hand navigation bar and click Worksheets.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 4 - Creating a Worksheet\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EWithin Worksheets, click the "+" button in the top-right corner of Snowsight.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 5 - Renaming a Worksheet\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ERename the Worksheet by clicking on the auto-generated Timestamp name and inputting "Tasty Bytes - Cost Management"\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 6 - Accessing Quickstart SQL in GitHub\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EClick the button below which will direct you to our Tasty Bytes SQL file that is hosted on GitHub.\n<button>\u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/blob/main/samples/tasty_bytes/FY25_Zero_To_Snowflake/tb_cost_management.sql\"\u003Etb_zts_financial_governance.sql\u003C/a\u003E</button>\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 7 - Copying Setup SQL from GitHub\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EWithin GitHub navigate to the right side and click "Copy raw contents". This will copy all of the required SQL into your clipboard.\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/github_copy_raw_contents.png\" alt=\"assets/github_copy_raw_contents.png\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 8 - Pasting Setup SQL from GitHub into your Snowflake Worksheet\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EPath back to Snowsight and your newly created Worksheet and Paste (\u003Cem\u003ECMD + V for Mac or CTRL + V for Windows\u003C/em\u003E) what we just copied from GitHub.\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/github_copy_raw_contents.png\" alt=\"assets/github_copy_raw_contents.png\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EStep 9 - Click Next -->\u003C/h3\u003E\n","\u003Ch2\u003EVirtual Warehouses and Settings\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EAs a Tasty Bytes Snowflake Administrator we have been tasked with gaining an understanding of the features Snowflake provides to help ensure proper Financial Governance is in place before we begin querying and analyzing data.\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - Role, Warehouse and Database Context\u003C/h3\u003E\n","\u003Cp\u003EBefore we create a Warehouse, let's first set our Role and Warehouse context.\u003C/p\u003E\n","\u003Cp\u003EThe queries below will set our Role to \u003Ccode\u003Etb_admin\u003C/code\u003E using \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/use-role.html\"\u003EUSE ROLE\u003C/a\u003E, our Warehouse to  \u003Ccode\u003Etb_de_wh\u003C/code\u003E warehouse using \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/use-warehouse.html\"\u003EUSE WAREHOUSE\u003C/a\u003E and our Database to \u003Ccode\u003Etb_101\u003C/code\u003E using \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/use-database\"\u003EUSE DATABASE\u003C/a\u003E .\u003C/p\u003E\n","\u003Cp\u003ETo run the queries, please highlight the three queries in your created Worksheet that match what you see below and click the "► Run" button in the top-right hand corner.\u003C/p\u003E\n","\u003Cp\u003EOnce these are executed you will see a \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E result and notice the Worksheet context reflect the Role, Warehouse and Database as shown in the screenshot below.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUSE ROLE tb_admin;\nUSE WAREHOUSE tb_de_wh;\nUSE DATABASE tb_101;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/use_role_and_wh.png\" alt=\"assets/use_role_and_wh.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EStep 2 - Creating and Configuring a Warehouse\u003C/h3\u003E\n","\u003Cp\u003EWithin Snowflake, Warehouses are highly configurable to meet your compute demands. This can range from scaling up and down to meet compute needs or scaling out to meet concurrency needs.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\nA virtual warehouse, often referred to simply as a “warehouse”, is a cluster of compute resources in Snowflake.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EThe next query will create our first Warehouse named \u003Ccode\u003Etb_test_wh\u003C/code\u003E. Please execute this query now which result in another \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E message.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE WAREHOUSE tb_test_wh WITH\nCOMMENT = 'test warehouse for tasty bytes'\n    WAREHOUSE_TYPE = 'standard'\n    WAREHOUSE_SIZE = 'xsmall' \n    MIN_CLUSTER_COUNT = 1 \n    MAX_CLUSTER_COUNT = 2 \n    SCALING_POLICY = 'standard'\n    AUTO_SUSPEND = 60\n    AUTO_RESUME = true\n    INITIALLY_SUSPENDED = true;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EBased on the query we ran, please see the details below on what each configuration handles within our \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-warehouse\"\u003ECREATE WAREHOUSE\u003C/a\u003E statement.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\n\u003Cstrong\u003EWarehouse Type\u003C/strong\u003E: Warehouses are required for queries, as well as all DML operations, including loading data into tables. Snowflake supports Standard (most-common) or Snowpark-optimized Warehouse Types.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWarehouse Size\u003C/strong\u003E: Size specifies the amount of compute resources available per cluster in a warehouse. Snowflake supports X-Small through 6X-Large sizes.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EMinimum and Maximum Cluster Count\u003C/strong\u003E: With multi-cluster warehouses, Snowflake supports allocating, either statically or dynamically, additional clusters to make a larger pool of compute resources available.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EScaling Policy\u003C/strong\u003E: Specifies the policy for automatically starting and shutting down clusters in a multi-cluster warehouse running in Auto-scale mode.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EAuto Suspend\u003C/strong\u003E: By default, Auto-Suspend is enabled. Snowflake automatically suspends the warehouse if it is inactive for the specified period of time, in our case 60 seconds.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EAuto Resume\u003C/strong\u003E: By default, auto-resume is enabled. Snowflake automatically resumes the warehouse when any statement that requires a warehouse is submitted and the warehouse is the current warehouse for the session.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EInitially Suspended\u003C/strong\u003E: Specifies whether the warehouse is created initially in the ‘Suspended’ state.\u003C/p\u003E\n","\u003Cp\u003E\u003Cem\u003EFor further information on Snowflake Warehouses please visit the\u003C/em\u003E \u003Ca href=\"https://docs.snowflake.com/en/user-guide/warehouses\"\u003E\u003Cem\u003ESnowflake Warehouse Documentation\u003C/em\u003E\u003C/a\u003E\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 3 - Click Next -->\u003C/h3\u003E\n","\u003Ch2\u003EResuming, Suspending and Scaling a Warehouse\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EWith a Warehouse created, let's now use it to answer a few questions from the business. While doing so we will learn how to resume, suspend and elastically scale the Warehouse.\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - Setting our Role and Warehouse Context and running a Query\u003C/h3\u003E\n","\u003Cp\u003ETo begin, let's run the next three queries. The first two will set our \u003Ccode\u003Etbadmin\u003C/code\u003E role and \u003Ccode\u003Etb_test_wh\u003C/code\u003E context and the final one will query our \u003Ccode\u003Eraw_pos.menu\u003C/code\u003E table to find all food items sold at our Plant Palace branded trucks.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUSE ROLE tb_admin;\nUSE WAREHOUSE tb_test_wh;\n\nSELECT\n    m.menu_type,\n    m.truck_brand_name,\n    m.menu_item_id,\n    m.menu_item_name\nFROM raw_pos.menu m\nWHERE truck_brand_name = 'Plant Palace';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/menu_items_plant_palace.png\" alt=\"assets/menu_items_plant_palace.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EStep 2 - Scaling Our Warehouse Up\u003C/h3\u003E\n","\u003Cp\u003EAfter completing a basic query against one of our dimension tables, let's now get ready to query our much larger orders data set.\u003C/p\u003E\n","\u003Cp\u003ELet's now instantly scale our \u003Ccode\u003Etb_test_wh\u003C/code\u003E up by executing our next query leveraging \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/alter-warehouse#properties-parameters\"\u003EALTER WAREHOUSE... SET warehouse_size\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EUpon completion we will recieve another \u003Ccode\u003EStatement executed successfully\u003C/code\u003E result.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SET warehouse_size = 'XLarge';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 3 - Run an Aggregation Query Against a Large Data Set\u003C/h3\u003E\n","\u003Cp\u003EWith our Warehouse scaled up, let's now run our next query which uses \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/concat\"\u003ECONCAT\u003C/a\u003E, \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/count\"\u003ECOUNT\u003C/a\u003E and \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/functions/sum\"\u003ESUM\u003C/a\u003E to calculate orders and total sales for Tasty Bytes customer loyalty members.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT \n    o.customer_id,\n    CONCAT(clm.first_name, ' ', clm.last_name) AS name,\n    COUNT(DISTINCT o.order_id) AS order_count,\n    SUM(o.price) AS total_sales\nFROM analytics.orders_v o\nJOIN analytics.customer_loyalty_metrics_v clm\n    ON o.customer_id = clm.customer_id\nGROUP BY o.customer_id, name\nORDER BY order_count DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/total_orders_volume_loyalty.png\" alt=\"assets/total_orders_volume_loyalty.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EStep 4 - Scale our Warehouse Down\u003C/h3\u003E\n","\u003Cp\u003EHaving seen the instant upward scalability of our Snowflake Warehouse and how it can aggregate large result sets with ease, let's now instantly scale our \u003Ccode\u003Etb_test_wh\u003C/code\u003E back down by running the next query.\u003C/p\u003E\n","\u003Cp\u003EUpon completion we will recieve another \u003Ccode\u003EStatement executed successfully\u003C/code\u003E result.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SET warehouse_size = 'XSmall';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 5 - Suspend our Warehouse\u003C/h3\u003E\n","\u003Cp\u003ETo cap things off, we previously set the \u003Ccode\u003Eauto_suspend\u003C/code\u003E to 60 seconds on our \u003Ccode\u003Etb_test_wh\u003C/code\u003E but let's also take a look at how to manually suspend a warehouse by executing our final query.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SUSPEND;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote\u003C/strong\u003E: Depending on how fast you have run through these last statements, you will receive one of the following two results:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EStatement executed successfully\u003C/strong\u003E: This means you were very fast in executing the steps in this section and have beat the \u003Ccode\u003Eauto_suspend\u003C/code\u003E Warehouse setting we configured to 60 seconds.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EInvalid state. Warehouse 'TASTY_TEST_WH' cannot be suspended\u003C/strong\u003E: This means that the amazing \u003Ccode\u003Eauto_suspend\u003C/code\u003E Warehouse setting we configured to 60 seconds has won the Warehouse suspension race.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EStep 6 - Click Next -->\u003C/h3\u003E\n","\u003Ch2\u003EControlling Cost with Session Timeout Parameters\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EWith monitoring in place, let's now make sure we are protecting ourselves from bad long running queries ensuring timeout parameters are adjusted on the Warehouse.\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - Exploring Warehouse Statement Parameters\u003C/h3\u003E\n","\u003Cp\u003ETo begin, let's run the next query to find all Warehouse Parameters related to Statements using the \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/show-parameters\"\u003ESHOW PARAMETERS\u003C/a\u003E command.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESHOW PARAMETERS LIKE '%statement%' IN WAREHOUSE tb_test_wh;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/show_parameters.png\" alt=\"assets/show_parameters.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EStep 2 - Adjusting Warehouse Statement Timeout Parameter\u003C/h3\u003E\n","\u003Cp\u003EHaving seen the two available Warehouse Statement Parameters, let's first adjust \u003Ccode\u003Estatement_timeout_in_seconds\u003C/code\u003E to 30 minutes by running the next query.\u003C/p\u003E\n","\u003Cp\u003ESince this parameter is in seconds we will set it equal to 1800 (30 minutes x 60 seconds).\u003C/p\u003E\n","\u003Cp\u003EOnce executed we will receive another \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E result.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SET statement_timeout_in_seconds = 1800;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\n\u003Cstrong\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/parameters#statement-timeout-in-seconds\"\u003ESTATEMENT_TIMEOUT_IN_SECONDS\u003C/a\u003E:\u003C/strong\u003E Timeout in \u003Cstrong\u003Eseconds\u003C/strong\u003E for statements. Statements are automatically canceled if they run for longer; if set to zero, max value (604800) is enforced.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 3 - Adjusting Warehouse Statement Queued Timeout Parameter\u003C/h3\u003E\n","\u003Cp\u003ENext, we will adjust \u003Ccode\u003Estatement_queued_timeout_in_seconds\u003C/code\u003E to 10 minutes by running the next query.\u003C/p\u003E\n","\u003Cp\u003ESince this parameter is also in seconds we will set it equal to 600 (10 minutes x 60 seconds).\u003C/p\u003E\n","\u003Cp\u003EOnce executed we will receive another \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E result.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SET statement_queued_timeout_in_seconds = 600;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\n\u003Cstrong\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/parameters#statement-queued-timeout-in-seconds\"\u003ESTATEMENT_QUEUED_TIMEOUT_IN_SECONDS\u003C/a\u003E:\u003C/strong\u003E Timeout in \u003Cstrong\u003Eseconds\u003C/strong\u003E for queued statements. Statements will automatically be canceled if they are queued on a warehouse for longer than this amount of time; disabled if set to zero.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 4 - Click Next -->\u003C/h3\u003E\n","\u003Ch2\u003EControlling Cost with Account Timeout Parameters\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EThe Timeout Parameters we set on our Test Warehouse are also available at the Account, User and Session level. Within this step, we will adjust these at the Account level.\u003C/p\u003E\n","\u003Cp\u003EMoving forward we will plan to monitor these as our Snowflake Workloads and Usage grow to ensure they are continuing to protect our account from unneccesary consumption but allowing for expected longer jobs to complete\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - Adjusting the Account Statement Timeout Parameter\u003C/h3\u003E\n","\u003Cp\u003ETo begin, our Account level Statement Parameter changes let's adjust \u003Ccode\u003Estatement_timeout_in_seconds\u003C/code\u003E to 5 hours by running the next two queries.\u003C/p\u003E\n","\u003Cp\u003ESince this parameter is in seconds we will set it equal to 18000 ([5 hours x 60 minutes] x 60 seconds).\u003C/p\u003E\n","\u003Cp\u003EOnce executed we will receive another \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E result.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUSE ROLE accountadmin;\n\nALTER ACCOUNT SET statement_timeout_in_seconds = 18000; -- 18000 seconds = 5 hours\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\n\u003Cstrong\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/parameters#statement-timeout-in-seconds\"\u003ESTATEMENT_TIMEOUT_IN_SECONDS\u003C/a\u003E:\u003C/strong\u003E Timeout in \u003Cstrong\u003Eseconds\u003C/strong\u003E for statements. Statements are automatically canceled if they run for longer; if set to zero, max value (604800) is enforced.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 2 - Adjusting the Account Statement Queued Timeout Parameter\u003C/h3\u003E\n","\u003Cp\u003EAs we did with our Warehouse, let's now adjust \u003Ccode\u003Estatement_queued_timeout_in_seconds\u003C/code\u003E to 1 hour by running the next query.\u003C/p\u003E\n","\u003Cp\u003ESince this parameter is also in seconds we will set it equal to 3600 ([1 hour x 60 minutes] x 60 seconds). Once executed we will receive another \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E result.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER ACCOUNT SET statement_queued_timeout_in_seconds = 3600;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\n\u003Cstrong\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/parameters#statement-queued-timeout-in-seconds\"\u003ESTATEMENT_QUEUED_TIMEOUT_IN_SECONDS\u003C/a\u003E:\u003C/strong\u003E Timeout in \u003Cstrong\u003Eseconds\u003C/strong\u003E for queued statements. Statements will automatically be canceled if they are queued on a warehouse for longer than this amount of time; disabled if set to zero.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 3 - Click Next -->\u003C/h3\u003E\n","\u003Ch2\u003EMonitoring Cost with Resource Monitors\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EWith a Test Warehouse in place, let's now leverage Snowflakes Resource Monitors to ensure the Warehouse has a monthly quota.\u003C/p\u003E\n","\u003Cp\u003EThis will also allow Admins to monitor credit consumption and trigger Warehouse suspension if the quota is surpassed.\u003C/p\u003E\n","\u003Cp\u003EWithin this step we will create our Resource Monitor using SQL but these can also be deployed and monitored in Snowsight by navigating to \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cost-exploring-overall#overview-of-account-level-costs\"\u003EAdmin -> Cost Management\u003C/a\u003E.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\nA resource monitor can be used to monitor credit usage by virtual warehouses and the cloud services needed to support those warehouses.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 1 - Creating a Resource Monitor\u003C/h3\u003E\n","\u003Cp\u003ETo begin, lets create our first Resource Monitor using \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-resource-monitor\"\u003ECREATE RESOURCE MONITOR\u003C/a\u003E by executing the next query.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE RESOURCE MONITOR tb_test_rm\nWITH \n    CREDIT_QUOTA = 100 -- 100 credits\n    FREQUENCY = monthly -- reset the monitor monthly\n    START_TIMESTAMP = immediately -- begin tracking immediately\n    TRIGGERS \n        ON 75 PERCENT DO NOTIFY -- notify accountadmins at 75%\n        ON 100 PERCENT DO SUSPEND -- suspend warehouse at 100 percent, let queries finish\n        ON 110 PERCENT DO SUSPEND_IMMEDIATE;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/create_rm.png\" alt=\"assets/create_rm.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EFor additional detail on what each configuration handles in our statement above please see below:\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\n\u003Cstrong\u003ECredit Quota\u003C/strong\u003E: Credit quota specifies the number of Snowflake credits allocated to the monitor for the specified frequency interval. Any number can be specified.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EFrequency\u003C/strong\u003E: The interval at which the used credits reset relative to the specified start date.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EStart Timestamp\u003C/strong\u003E: Date and time (i.e. timestamp) when the resource monitor starts monitoring the assigned warehouses.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENotify\u003C/strong\u003E: Perform no action, but send an alert notification (to all account administrators with notifications enabled).\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENotify & Suspend\u003C/strong\u003E: Send a notification (to all account administrators with notifications enabled) and suspend all assigned warehouses after all statements being executed by the warehouse(s) have completed.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENotify & Suspend Immediate\u003C/strong\u003E: Send a notification (to all account administrators with notifications enabled) and suspend all assigned warehouses immediately, which cancels any statements being executed by the warehouses at the time.\u003C/p\u003E\n","\u003Cp\u003E\u003Cem\u003EFor further information on Snowflake Warehouses please visit the\u003C/em\u003E \u003Ca href=\"https://docs.snowflake.com/en/user-guide/resource-monitors\"\u003EWorking with Resource Monitors\u003C/a\u003E\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EStep 2 - Applying our Resource Monitor to our Warehouse\u003C/h3\u003E\n","\u003Cp\u003EWith our Resource Monitor successfully created, let's now apply it to our created Warehouse using \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/alter-warehouse#properties-parameters\"\u003EALTER WAREHOUSE ... SET RESOURCE_MONITOR\u003C/a\u003E.\u003C/p\u003E\n","\u003Cp\u003EPlease execute the final query of this step which will result in another \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E message.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SET RESOURCE_MONITOR = tb_test_rm;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 3 - Click Next --->\u003C/h3\u003E\n","\u003Ch2\u003ETag Objects to Attribute Spend\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003EWithin this step, we will help our Finance department attribute consumption costs for the Test Warehouse to our Development Team.\u003C/p\u003E\n","\u003Cp\u003EWe will create a Tag object for associating Cost Centers to Database Objects and Warehouses and leverage it to assign the Development Team Cost Center to our Test Warehouse.\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - Create our Tag\u003C/h3\u003E\n","\u003Cp\u003ETo begin, let's our Cost Center Tag using \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/create-tag\"\u003ECREATE TAG\u003C/a\u003E by executing the next query which will result in a \u003Ccode\u003ETag COST_CENTER successfully created.\u003C/code\u003E message.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TAG cost_center;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 2 - Set Tag on Warehouse\u003C/h3\u003E\n","\u003Cp\u003ENow we will to set the Development Team Cost Center Tag to the Test Warehouse byu executing the following query which will result in a \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E message.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER WAREHOUSE tb_test_wh SET TAG cost_center = 'DEVELOPMENT_TEAM';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EStep 3 - Click Next --->\u003C/h3\u003E\n","\u003Ch2\u003EExploring Cost with Snowsight\u003C/h2\u003E\n","\u003Ch3\u003EOverview\u003C/h3\u003E\n","\u003Cp\u003ESnowflake also provides many ways to visually inspect Cost data within Snowsight.\u003C/p\u003E\n","\u003Ch3\u003EStep 1 - \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cost-exploring-overall#label-cost-exploring-account-overview\"\u003EOverall Account Costs\u003C/a\u003E\u003C/h3\u003E\n","\u003Cp\u003ETo access an overview of incurred costs within Snowsight:\n1. Select Admin » Cost Management.\n2. Select a warehouse to use to view the usage data.\n• Snowflake recommends using an X-Small warehouse for this purpose.\n3. Select Account Overview.\u003C/p\u003E\n","\u003Ch3\u003EStep 2 - \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cost-exploring-overall#label-cost-exploring-consumption-page\"\u003EDrill Down into Incurred Costs\u003C/a\u003E\u003C/h3\u003E\n","\u003Cp\u003ETo access and drill down into overall cost within Snowsight:\n1. Select Admin » Cost Management.\n2. Select a warehouse to use to view the usage data.\n• Snowflake recommends using an X-Small warehouse for this purpose.\n3. Select Consumption.\n4. Select All Usage Types from the drop-down list.\u003C/p\u003E\n","\u003Ch2\u003EConclusion and Next Steps\u003C/h2\u003E\n","\u003Ch3\u003EConclusion\u003C/h3\u003E\n","\u003Cp\u003EFantastic work! You have successfully completed the Tasty Bytes - Zero to Snowflake - Cost Management Quickstart.\u003C/p\u003E\n","\u003Cp\u003EBy doing so you have now:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECreated and Configured a Snowflake Warehouse\u003C/li\u003E\u003Cli\u003EScaled a Snowflake Warehouse Up and Down\u003C/li\u003E\u003Cli\u003ESuspended a Snowflake Warehouse\u003C/li\u003E\u003Cli\u003ECreated, Configured and Applied a Resource Monitor\u003C/li\u003E\u003Cli\u003ESet Statement Timeout and Statement Queue Timeout Parameters on a Snowflake Warehouse and Snowflake Account.\u003C/li\u003E\u003Cli\u003ECreated and Attached a Tag to a Warehouse\u003C/li\u003E\u003Cli\u003EExplored Costs using Snowsight\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EIf you would like to re-run this Quickstart please leverage the Reset scripts in the bottom of your associated Worksheet.\u003C/p\u003E\n","\u003Ch3\u003ENext Steps\u003C/h3\u003E\n","\u003Cp\u003ETo continue your journey in the Snowflake AI Data Cloud, please now visit the link below to see all other Powered by Tasty Bytes - Quickstarts available to you.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Ch3\u003E\u003Ca href=\"/en/developers/guides/tasty-bytes-introduction/\"\u003EPowered by Tasty Bytes - Quickstarts Table of Contents\u003C/a\u003E\u003C/h3\u003E\n\u003C/li\u003E\u003C/ul\u003E"],"description":"","title":"Tasty Bytes - Zero to Snowflake - Cost Management",":type":"snowflake-site/components/contentfragment","isDeveloperGuidesPage":false,":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\r\n\r\n## Cost Management in Snowflake\r\n![assets/cost_management_header.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/cost_management_header.png)\r\n\r\n### Overview\r\nWelcome to the Powered by Tasty Bytes - Zero to Snowflake Quickstart focused on Cost Management!\r\n\r\nWithin this Quickstart, we will learn about Cost Management in Snowflake by diving into Snowflake Warehouses and their configurability, Resource Monitors, Account and Warehouse Level Timeout Parameters, Budgets and Exploring Cost.\r\n\r\nFor more detail on Cost Management in Snowflake please visit the [Cost Management Overview documentation](https://docs.snowflake.com/en/guides-overview-cost#cost-management).\r\n\r\n### Prerequisites\r\n- Before beginning, please make sure you have completed the [**Introduction to Tasty Bytes Quickstart**](/en/developers/guides/tasty-bytes-introduction/) which provides a walkthrough on setting up a trial account and deploying the Tasty Bytes Foundation required to complete this Quickstart.\r\n\r\n### What You Will Learn\r\n- How to Create and Configure a Snowflake Warehouse\r\n- How to Scale a Snowflake Warehouse Up and Down\r\n- How to Suspend a Snowflake Warehouse\r\n- How to Create, Configure and Apply a Resource Monitor\r\n- How to Set Statement Timeout and Statement Queue Timeout Parameters on a Snowflake Warehouse and Snowflake Account.\r\n- How to Create a Tag and Assign it to a Warehouse\r\n- How to explore Cost with SQL or the Snowsight UI\r\n\r\n### What You Will Build\r\n- A Snowflake Warehouse\r\n- A Resource Monitor\r\n- A Cost Center Tag\r\n\r\n\r\n## Creating a Worksheet and Copying in our SQL\r\n\r\n### Overview\r\nWithin this Quickstart we will follow a Tasty Bytes themed story via a Snowsight SQL Worksheet with this page serving as a side by side guide complete with additional commentary, images and documentation links.\r\n\r\nThis section will walk you through logging into Snowflake, Creating a New Worksheet, Renaming the Worksheet, Copying SQL from GitHub, and Pasting the SQL we will be leveraging within this Quickstart.\r\n\r\n### Step 1 - Accessing Snowflake via URL\r\n- Open a browser window and enter the URL of your Snowflake Account \r\n\r\n### Step 2 - Logging into Snowflake\r\n- Log into your Snowflake account.\r\n\r\n### Step 3 - Navigating to Worksheets\r\n- Click on the Projects Tab in the left-hand navigation bar and click Worksheets.\r\n\r\n### Step 4 - Creating a Worksheet\r\n- Within Worksheets, click the \"+\" button in the top-right corner of Snowsight.\r\n\r\n### Step 5 - Renaming a Worksheet\r\n- Rename the Worksheet by clicking on the auto-generated Timestamp name and inputting \"Tasty Bytes - Cost Management\"\r\n\r\n### Step 6 - Accessing Quickstart SQL in GitHub\r\n- Click the button below which will direct you to our Tasty Bytes SQL file that is hosted on GitHub.\r\n\u003Cbutton\u003E[tb_zts_financial_governance.sql](https://github.com/Snowflake-Labs/sf-samples/blob/main/samples/tasty_bytes/FY25_Zero_To_Snowflake/tb_cost_management.sql)\u003C/button\u003E\r\n\r\n### Step 7 - Copying Setup SQL from GitHub\r\n- Within GitHub navigate to the right side and click \"Copy raw contents\". This will copy all of the required SQL into your clipboard.\r\n    - ![assets/github_copy_raw_contents.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/github_copy_raw_contents.png)\r\n\r\n### Step 8 - Pasting Setup SQL from GitHub into your Snowflake Worksheet\r\n- Path back to Snowsight and your newly created Worksheet and Paste (*CMD + V for Mac or CTRL + V for Windows*) what we just copied from GitHub.\r\n    - ![assets/github_copy_raw_contents.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/github_copy_raw_contents.png)\r\n### Step 9 - Click Next --\u003E\r\n\r\n## Virtual Warehouses and Settings \r\n\r\n### Overview\r\nAs a Tasty Bytes Snowflake Administrator we have been tasked with gaining an understanding of the features Snowflake provides to help ensure proper Financial Governance is in place before we begin querying and analyzing data.\r\n\r\n### Step 1 - Role, Warehouse and Database Context\r\nBefore we create a Warehouse, let's first set our Role and Warehouse context. \r\n\r\nThe queries below will set our Role to `tb_admin` using [USE ROLE](https://docs.snowflake.com/en/sql-reference/sql/use-role.html), our Warehouse to  `tb_de_wh` warehouse using [USE WAREHOUSE](https://docs.snowflake.com/en/sql-reference/sql/use-warehouse.html) and our Database to `tb_101` using [USE DATABASE](https://docs.snowflake.com/en/sql-reference/sql/use-database) . \r\n\r\nTo run the queries, please highlight the three queries in your created Worksheet that match what you see below and click the \"► Run\" button in the top-right hand corner. \r\n\r\nOnce these are executed you will see a `Statement executed successfully.` result and notice the Worksheet context reflect the Role, Warehouse and Database as shown in the screenshot below.\r\n\r\n```\r\nUSE ROLE tb_admin;\r\nUSE WAREHOUSE tb_de_wh;\r\nUSE DATABASE tb_101;\r\n```\r\n\r\n![assets/use_role_and_wh.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/use_role_and_wh.png) \r\n\r\n### Step 2 - Creating and Configuring a Warehouse\r\nWithin Snowflake, Warehouses are highly configurable to meet your compute demands. This can range from scaling up and down to meet compute needs or scaling out to meet concurrency needs. \r\n\r\n\u003E aside positive\r\n\u003E A virtual warehouse, often referred to simply as a “warehouse”, is a cluster of compute resources in Snowflake.\r\n\u003E\r\n\r\nThe next query will create our first Warehouse named `tb_test_wh`. Please execute this query now which result in another `Statement executed successfully.` message.\r\n\r\n```\r\nCREATE OR REPLACE WAREHOUSE tb_test_wh WITH\r\nCOMMENT = 'test warehouse for tasty bytes'\r\n    WAREHOUSE_TYPE = 'standard'\r\n    WAREHOUSE_SIZE = 'xsmall' \r\n    MIN_CLUSTER_COUNT = 1 \r\n    MAX_CLUSTER_COUNT = 2 \r\n    SCALING_POLICY = 'standard'\r\n    AUTO_SUSPEND = 60\r\n    AUTO_RESUME = true\r\n    INITIALLY_SUSPENDED = true;\r\n```\r\n\r\nBased on the query we ran, please see the details below on what each configuration handles within our [CREATE WAREHOUSE](https://docs.snowflake.com/en/sql-reference/sql/create-warehouse) statement.\r\n\u003E aside positive\r\n\u003E**Warehouse Type**: Warehouses are required for queries, as well as all DML operations, including loading data into tables. Snowflake supports Standard (most-common) or Snowpark-optimized Warehouse Types.\r\n\u003E\r\n\u003E**Warehouse Size**: Size specifies the amount of compute resources available per cluster in a warehouse. Snowflake supports X-Small through 6X-Large sizes.\r\n\u003E\r\n\u003E**Minimum and Maximum Cluster Count**: With multi-cluster warehouses, Snowflake supports allocating, either statically or dynamically, additional clusters to make a larger pool of compute resources available. \r\n\u003E\r\n\u003E**Scaling Policy**: Specifies the policy for automatically starting and shutting down clusters in a multi-cluster warehouse running in Auto-scale mode.\r\n\u003E\r\n\u003E **Auto Suspend**: By default, Auto-Suspend is enabled. Snowflake automatically suspends the warehouse if it is inactive for the specified period of time, in our case 60 seconds.\r\n\u003E\r\n\u003E**Auto Resume**: By default, auto-resume is enabled. Snowflake automatically resumes the warehouse when any statement that requires a warehouse is submitted and the warehouse is the current warehouse for the session.\r\n\u003E\r\n\u003E**Initially Suspended**: Specifies whether the warehouse is created initially in the ‘Suspended’ state.\r\n\u003E \r\n\u003E \r\n\u003E *For further information on Snowflake Warehouses please visit the* [*Snowflake Warehouse Documentation*](https://docs.snowflake.com/en/user-guide/warehouses)\r\n\u003E\r\n\r\n### Step 3 - Click Next --\u003E\r\n\r\n## Resuming, Suspending and Scaling a Warehouse\r\n\r\n### Overview\r\nWith a Warehouse created, let's now use it to answer a few questions from the business. While doing so we will learn how to resume, suspend and elastically scale the Warehouse.\r\n\r\n### Step 1 - Setting our Role and Warehouse Context and running a Query\r\nTo begin, let's run the next three queries. The first two will set our `tbadmin` role and `tb_test_wh` context and the final one will query our `raw_pos.menu` table to find all food items sold at our Plant Palace branded trucks.\r\n\r\n```\r\nUSE ROLE tb_admin;\r\nUSE WAREHOUSE tb_test_wh;\r\n\r\nSELECT\r\n    m.menu_type,\r\n    m.truck_brand_name,\r\n    m.menu_item_id,\r\n    m.menu_item_name\r\nFROM raw_pos.menu m\r\nWHERE truck_brand_name = 'Plant Palace';\r\n```\r\n![assets/menu_items_plant_palace.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/menu_items_plant_palace.png) \r\n\r\n\r\n### Step 2 - Scaling Our Warehouse Up\r\nAfter completing a basic query against one of our dimension tables, let's now get ready to query our much larger orders data set. \r\n\r\nLet's now instantly scale our `tb_test_wh` up by executing our next query leveraging [ALTER WAREHOUSE... SET warehouse_size](https://docs.snowflake.com/en/sql-reference/sql/alter-warehouse#properties-parameters). \r\n\r\nUpon completion we will recieve another `Statement executed successfully` result.\r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SET warehouse_size = 'XLarge';\r\n```\r\n\r\n### Step 3 - Run an Aggregation Query Against a Large Data Set\r\nWith our Warehouse scaled up, let's now run our next query which uses [CONCAT](https://docs.snowflake.com/en/sql-reference/functions/concat), [COUNT](https://docs.snowflake.com/en/sql-reference/functions/count) and [SUM](https://docs.snowflake.com/en/sql-reference/functions/sum) to calculate orders and total sales for Tasty Bytes customer loyalty members.\r\n\r\n```\r\nSELECT \r\n    o.customer_id,\r\n    CONCAT(clm.first_name, ' ', clm.last_name) AS name,\r\n    COUNT(DISTINCT o.order_id) AS order_count,\r\n    SUM(o.price) AS total_sales\r\nFROM analytics.orders_v o\r\nJOIN analytics.customer_loyalty_metrics_v clm\r\n    ON o.customer_id = clm.customer_id\r\nGROUP BY o.customer_id, name\r\nORDER BY order_count DESC;\r\n```\r\n![assets/total_orders_volume_loyalty.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/total_orders_volume_loyalty.png)\r\n\r\n### Step 4 - Scale our Warehouse Down\r\nHaving seen the instant upward scalability of our Snowflake Warehouse and how it can aggregate large result sets with ease, let's now instantly scale our `tb_test_wh` back down by running the next query. \r\n\r\nUpon completion we will recieve another `Statement executed successfully` result.\r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SET warehouse_size = 'XSmall';\r\n```\r\n\r\n### Step 5 - Suspend our Warehouse\r\nTo cap things off, we previously set the `auto_suspend` to 60 seconds on our `tb_test_wh` but let's also take a look at how to manually suspend a warehouse by executing our final query.\r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SUSPEND;\r\n```\r\n\r\n**Note**: Depending on how fast you have run through these last statements, you will receive one of the following two results:\r\n1. **Statement executed successfully**: This means you were very fast in executing the steps in this section and have beat the `auto_suspend` Warehouse setting we configured to 60 seconds.\r\n2. **Invalid state. Warehouse 'TASTY_TEST_WH' cannot be suspended**: This means that the amazing `auto_suspend` Warehouse setting we configured to 60 seconds has won the Warehouse suspension race.\r\n\r\n### Step 6 - Click Next --\u003E\r\n\r\n\r\n## Controlling Cost with Session Timeout Parameters\r\n\r\n### Overview\r\nWith monitoring in place, let's now make sure we are protecting ourselves from bad long running queries ensuring timeout parameters are adjusted on the Warehouse.\r\n\r\n### Step 1 - Exploring Warehouse Statement Parameters\r\nTo begin, let's run the next query to find all Warehouse Parameters related to Statements using the [SHOW PARAMETERS](https://docs.snowflake.com/en/sql-reference/sql/show-parameters) command.\r\n\r\n```\r\nSHOW PARAMETERS LIKE '%statement%' IN WAREHOUSE tb_test_wh;\r\n```\r\n![assets/show_parameters.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/show_parameters.png)\r\n\r\n \r\n### Step 2 - Adjusting Warehouse Statement Timeout Parameter\r\nHaving seen the two available Warehouse Statement Parameters, let's first adjust `statement_timeout_in_seconds` to 30 minutes by running the next query. \r\n\r\nSince this parameter is in seconds we will set it equal to 1800 (30 minutes x 60 seconds). \r\n\r\nOnce executed we will receive another `Statement executed successfully.` result.\r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SET statement_timeout_in_seconds = 1800;\r\n```\r\n\r\n\u003Easide positive\r\n\u003E **[STATEMENT_TIMEOUT_IN_SECONDS](https://docs.snowflake.com/en/sql-reference/parameters#statement-timeout-in-seconds):** Timeout in **seconds** for statements. Statements are automatically canceled if they run for longer; if set to zero, max value (604800) is enforced.\r\n\u003E\r\n\r\n### Step 3 - Adjusting Warehouse Statement Queued Timeout Parameter\r\nNext, we will adjust `statement_queued_timeout_in_seconds` to 10 minutes by running the next query. \r\n\r\nSince this parameter is also in seconds we will set it equal to 600 (10 minutes x 60 seconds). \r\n\r\nOnce executed we will receive another `Statement executed successfully.` result.\r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SET statement_queued_timeout_in_seconds = 600;\r\n```\r\n\r\n\u003Easide positive\r\n\u003E **[STATEMENT_QUEUED_TIMEOUT_IN_SECONDS](https://docs.snowflake.com/en/sql-reference/parameters#statement-queued-timeout-in-seconds):** Timeout in **seconds** for queued statements. Statements will automatically be canceled if they are queued on a warehouse for longer than this amount of time; disabled if set to zero.\r\n\u003E\r\n\r\n### Step 4 - Click Next --\u003E\r\n\r\n## Controlling Cost with Account Timeout Parameters\r\n\r\n### Overview\r\nThe Timeout Parameters we set on our Test Warehouse are also available at the Account, User and Session level. Within this step, we will adjust these at the Account level.\r\n\r\nMoving forward we will plan to monitor these as our Snowflake Workloads and Usage grow to ensure they are continuing to protect our account from unneccesary consumption but allowing for expected longer jobs to complete\r\n\r\n### Step 1 - Adjusting the Account Statement Timeout Parameter\r\nTo begin, our Account level Statement Parameter changes let's adjust `statement_timeout_in_seconds` to 5 hours by running the next two queries. \r\n\r\nSince this parameter is in seconds we will set it equal to 18000 ([5 hours x 60 minutes] x 60 seconds). \r\n\r\nOnce executed we will receive another `Statement executed successfully.` result.\r\n\r\n```\r\nUSE ROLE accountadmin;\r\n\r\nALTER ACCOUNT SET statement_timeout_in_seconds = 18000; -- 18000 seconds = 5 hours\r\n```\r\n\r\n\u003Easide positive\r\n\u003E **[STATEMENT_TIMEOUT_IN_SECONDS](https://docs.snowflake.com/en/sql-reference/parameters#statement-timeout-in-seconds):** Timeout in **seconds** for statements. Statements are automatically canceled if they run for longer; if set to zero, max value (604800) is enforced.\r\n\u003E\r\n\r\n### Step 2 - Adjusting the Account Statement Queued Timeout Parameter\r\nAs we did with our Warehouse, let's now adjust `statement_queued_timeout_in_seconds` to 1 hour by running the next query.\r\n\r\nSince this parameter is also in seconds we will set it equal to 3600 ([1 hour x 60 minutes] x 60 seconds). Once executed we will receive another `Statement executed successfully.` result.\r\n\r\n```\r\nALTER ACCOUNT SET statement_queued_timeout_in_seconds = 3600;\r\n```\r\n\r\n\u003Easide positive\r\n\u003E **[STATEMENT_QUEUED_TIMEOUT_IN_SECONDS](https://docs.snowflake.com/en/sql-reference/parameters#statement-queued-timeout-in-seconds):** Timeout in **seconds** for queued statements. Statements will automatically be canceled if they are queued on a warehouse for longer than this amount of time; disabled if set to zero.\r\n\u003E\r\n\r\n### Step 3 - Click Next --\u003E\r\n\r\n\r\n## Monitoring Cost with Resource Monitors\r\n\r\n### Overview\r\nWith a Test Warehouse in place, let's now leverage Snowflakes Resource Monitors to ensure the Warehouse has a monthly quota. \r\n\r\nThis will also allow Admins to monitor credit consumption and trigger Warehouse suspension if the quota is surpassed.\r\n\r\nWithin this step we will create our Resource Monitor using SQL but these can also be deployed and monitored in Snowsight by navigating to [Admin -\u003E Cost Management](https://docs.snowflake.com/en/user-guide/cost-exploring-overall#overview-of-account-level-costs).\r\n\r\n\u003E aside positive\r\n\u003E A resource monitor can be used to monitor credit usage by virtual warehouses and the cloud services needed to support those warehouses. \r\n\u003E \r\n\r\n### Step 1 - Creating a Resource Monitor\r\nTo begin, lets create our first Resource Monitor using [CREATE RESOURCE MONITOR](https://docs.snowflake.com/en/sql-reference/sql/create-resource-monitor) by executing the next query.\r\n\r\n```\r\nCREATE OR REPLACE RESOURCE MONITOR tb_test_rm\r\nWITH \r\n    CREDIT_QUOTA = 100 -- 100 credits\r\n    FREQUENCY = monthly -- reset the monitor monthly\r\n    START_TIMESTAMP = immediately -- begin tracking immediately\r\n    TRIGGERS \r\n        ON 75 PERCENT DO NOTIFY -- notify accountadmins at 75%\r\n        ON 100 PERCENT DO SUSPEND -- suspend warehouse at 100 percent, let queries finish\r\n        ON 110 PERCENT DO SUSPEND_IMMEDIATE;\r\n```\r\n![assets/create_rm.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-cost-management/create_rm.png) \r\n\r\nFor additional detail on what each configuration handles in our statement above please see below:\r\n\u003E aside positive\r\n\u003E **Credit Quota**: Credit quota specifies the number of Snowflake credits allocated to the monitor for the specified frequency interval. Any number can be specified.\r\n\u003E\r\n\u003E **Frequency**: The interval at which the used credits reset relative to the specified start date.\r\n\u003E\r\n\u003E **Start Timestamp**: Date and time (i.e. timestamp) when the resource monitor starts monitoring the assigned warehouses.\r\n\u003E\r\n\u003E **Notify**: Perform no action, but send an alert notification (to all account administrators with notifications enabled).\r\n\u003E\r\n\u003E **Notify & Suspend**: Send a notification (to all account administrators with notifications enabled) and suspend all assigned warehouses after all statements being executed by the warehouse(s) have completed.\r\n\u003E\r\n\u003E **Notify & Suspend Immediate**: Send a notification (to all account administrators with notifications enabled) and suspend all assigned warehouses immediately, which cancels any statements being executed by the warehouses at the time.\r\n\u003E\r\n\u003E *For further information on Snowflake Warehouses please visit the* [Working with Resource Monitors](https://docs.snowflake.com/en/user-guide/resource-monitors)\r\n\r\n \r\n### Step 2 - Applying our Resource Monitor to our Warehouse\r\nWith our Resource Monitor successfully created, let's now apply it to our created Warehouse using [ALTER WAREHOUSE ... SET RESOURCE_MONITOR](https://docs.snowflake.com/en/sql-reference/sql/alter-warehouse#properties-parameters). \r\n\r\nPlease execute the final query of this step which will result in another `Statement executed successfully.` message. \r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SET RESOURCE_MONITOR = tb_test_rm;\r\n```\r\n\r\n### Step 3 - Click Next ---\u003E\r\n\r\n\r\n## Tag Objects to Attribute Spend\r\n\r\n### Overview\r\nWithin this step, we will help our Finance department attribute consumption costs for the Test Warehouse to our Development Team. \r\n \r\nWe will create a Tag object for associating Cost Centers to Database Objects and Warehouses and leverage it to assign the Development Team Cost Center to our Test Warehouse.\r\n\r\n### Step 1 - Create our Tag\r\nTo begin, let's our Cost Center Tag using [CREATE TAG](https://docs.snowflake.com/en/sql-reference/sql/create-tag) by executing the next query which will result in a `Tag COST_CENTER successfully created.` message.\r\n\r\n```\r\nCREATE OR REPLACE TAG cost_center;\r\n```\r\n\r\n### Step 2 - Set Tag on Warehouse\r\nNow we will to set the Development Team Cost Center Tag to the Test Warehouse byu executing the following query which will result in a `Statement executed successfully.` message.\r\n\r\n```\r\nALTER WAREHOUSE tb_test_wh SET TAG cost_center = 'DEVELOPMENT_TEAM';\r\n```\r\n\r\n### Step 3 - Click Next ---\u003E\r\n\r\n\r\n## Exploring Cost with Snowsight\r\n\r\n### Overview\r\nSnowflake also provides many ways to visually inspect Cost data within Snowsight.\r\n\r\n\r\n### Step 1 - [Overall Account Costs](https://docs.snowflake.com/en/user-guide/cost-exploring-overall#label-cost-exploring-account-overview)\r\nTo access an overview of incurred costs within Snowsight:\r\n    1. Select Admin » Cost Management.\r\n    2. Select a warehouse to use to view the usage data.\r\n        • Snowflake recommends using an X-Small warehouse for this purpose.\r\n    3. Select Account Overview.\r\n\r\n### Step 2 - [Drill Down into Incurred Costs](https://docs.snowflake.com/en/user-guide/cost-exploring-overall#label-cost-exploring-consumption-page)\r\nTo access and drill down into overall cost within Snowsight: \r\n    1. Select Admin » Cost Management.\r\n    2. Select a warehouse to use to view the usage data.\r\n        • Snowflake recommends using an X-Small warehouse for this purpose.\r\n    3. Select Consumption.\r\n    4. Select All Usage Types from the drop-down list.\r\n\r\n\r\n## Conclusion and Next Steps\r\n\r\n### Conclusion\r\nFantastic work! You have successfully completed the Tasty Bytes - Zero to Snowflake - Cost Management Quickstart. \r\n\r\nBy doing so you have now:\r\n- Created and Configured a Snowflake Warehouse\r\n- Scaled a Snowflake Warehouse Up and Down\r\n- Suspended a Snowflake Warehouse\r\n- Created, Configured and Applied a Resource Monitor\r\n- Set Statement Timeout and Statement Queue Timeout Parameters on a Snowflake Warehouse and Snowflake Account.\r\n- Created and Attached a Tag to a Warehouse\r\n- Explored Costs using Snowsight\r\n\r\nIf you would like to re-run this Quickstart please leverage the Reset scripts in the bottom of your associated Worksheet.\r\n\r\n### Next Steps\r\nTo continue your journey in the Snowflake AI Data Cloud, please now visit the link below to see all other Powered by Tasty Bytes - Quickstarts available to you.\r\n\r\n- ### [Powered by Tasty Bytes - Quickstarts Table of Contents](/en/developers/guides/tasty-bytes-introduction/)","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-9db8f5c961","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-c47c37ec7f",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-6fed280648","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2024-05-24",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-a94be594bb","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. 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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-a8f7e66c11",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{},":itemsOrder":[]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["contentfragment","flexible_column_cont"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-f2b5bf587f",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-023a81990b","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-f5b38a3841","headings":["\u003Ch2\u003ECost Management in Snowflake\u003C/h2\u003E","\u003Ch2\u003ECreating a Worksheet and Copying in our SQL\u003C/h2\u003E","\u003Ch2\u003EVirtual Warehouses and Settings\u003C/h2\u003E","\u003Ch2\u003EResuming, Suspending and Scaling a Warehouse\u003C/h2\u003E","\u003Ch2\u003EControlling Cost with Session Timeout Parameters\u003C/h2\u003E","\u003Ch2\u003EControlling Cost with Account Timeout Parameters\u003C/h2\u003E","\u003Ch2\u003EMonitoring Cost with Resource Monitors\u003C/h2\u003E","\u003Ch2\u003ETag Objects to Attribute Spend\u003C/h2\u003E","\u003Ch2\u003EExploring Cost with Snowsight\u003C/h2\u003E","\u003Ch2\u003EConclusion and Next 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