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how to enable and use Snowflake Trail for comprehensive observability across your Snowflake workloads, including logs, traces, metrics, and monitoring capabilities.","paragraphs":["<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003ESnowflake Trail is Snowflake's suite of observability capabilities that enable its users to better monitor, troubleshoot, debug and take actions on pipelines, apps, user code and compute utilizations.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/snowflake-trail-25-new.svg\" alt=\"Snowflake Trail Infographic\"\u003E\u003C/p\u003E\n","\u003Cp\u003EAs you can see above, Snowflake Trail utilizes core observability data — logs, metrics, traces, events, alerts, and notifications — to provide comprehensive workload monitoring across AI, applications, pipelines, and infrastructure.\u003C/p\u003E\n","\u003Cp\u003EThis quickstart is intended to help tie together all the components of Snowflake Trail, and in turn, help you get started with Observability in Snowflake. While this quickstart will walk you through the basics of enabling and viewing telemetry, you will need to dive deeper into each area in order to fully understand Snowflake Trail. So wherever possible, links will be provided to additional quickstarts, documentation, and resources.\u003C/p\u003E\n<!-- Without trailing punctuation or some other character after `Learn`, the bullets don't appear under this section. BUT ONLY for this header, the other two are fine... Literally no idea why... but adding : to all three for consistency -->\n","\u003Ch3\u003EWhat You'll Learn:\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to enable telemetry collection in your Snowflake account\u003C/li\u003E\u003Cli\u003EThe difference between system views and telemetry data in Snowflake\u003C/li\u003E\u003Cli\u003EHow to use the Snowsight monitoring interfaces for traces, logs, and query history\u003C/li\u003E\u003Cli\u003EHow to access and understand observability data in Snowflake\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Need:\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA Snowflake account. If you do not have a Snowflake account, you can register for a \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003Efree trial account\u003C/a\u003E.\u003C/li\u003E\u003Cli\u003EA Snowflake account login with the \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E role, or a custom role with privileges to:\n\u003Cul\u003E\u003Cli\u003ESet account-level parameters (\u003Ccode\u003EALTER ACCOUNT\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EView and query event tables (\u003Ccode\u003ESELECT\u003C/code\u003E on \u003Ccode\u003ESNOWFLAKE.TELEMETRY.*\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003EAccess monitoring features in Snowsight\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003EBasic familiarity with SQL and Snowflake concepts\u003C/li\u003E\u003Cli\u003EAbout 45 minutes to complete this quickstart\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Build:\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA Snowflake account with telemetry collection enabled at the account level\u003C/li\u003E\u003Cli\u003EUnderstanding of how to navigate and use Snowflake's built-in monitoring tools\u003C/li\u003E\u003Cli\u003EFoundation for implementing comprehensive observability across your Snowflake workloads\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EData Source Overview\u003C/h2\u003E\n","\u003Cp\u003EObservability in Snowflake comes in two main categories: System Views and Telemetry.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESystem Views\u003C/strong\u003E provide historical data about your Snowflake account through views and table functions in the following schemas:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/info-schema\"\u003ESnowflake Information Schema\u003C/a\u003E (\u003Ccode\u003EINFORMATION_SCHEMA\u003C/code\u003E) in every Snowflake database\u003C/li\u003E\u003Cli\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/account-usage\"\u003EAccount Usage\u003C/a\u003E (\u003Ccode\u003EACCOUNT_USAGE\u003C/code\u003E and \u003Ccode\u003EREADER_ACCOUNT_USAGE\u003C/code\u003E) in the Snowflake database\u003C/li\u003E\u003Cli\u003EThe \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/organization-usage\"\u003EOrganization Usage\u003C/a\u003E (\u003Ccode\u003EORGANIZATION_USAGE\u003C/code\u003E) in the Snowflake database\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETelemetry data\u003C/strong\u003E, on the other hand, is delivered exclusively through \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up\"\u003Eevent tables\u003C/a\u003E. An event table is a special kind of database table with a \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-columns\"\u003Epredefined set of columns\u003C/a\u003E that follows the data model for \u003Ca href=\"https://opentelemetry.io/\"\u003EOpenTelemetry\u003C/a\u003E - a leading the industry standard for collecting and structuring observability data across systems.\u003C/p\u003E\n","\u003Cp\u003EThis distinction is important because of the default behavior of each:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESystem Views are always available and automatically populated with data about your Snowflake usage\u003C/li\u003E\u003Cli\u003ETelemetry data requires you to \u003Cstrong\u003Eexplicitly enable collection\u003C/strong\u003E by setting levels for logging, metrics, and tracing\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EEnabling Telemetry\u003C/h2\u003E\n","\u003Cp\u003EBy default, Snowflake includes a \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up#label-logging-event-table-default\"\u003Epredefined event table\u003C/a\u003E (\u003Ccode\u003ESNOWFLAKE.TELEMETRY.EVENTS\u003C/code\u003E) that is used if you don't specify an active event table. You can also \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up#label-logging-event-table-custom\"\u003Ecreate your own event tables\u003C/a\u003E for specific uses.\u003C/p\u003E\n","\u003Cp\u003EMost telemetry levels can be set at the account, object, or session level. And while many of the telemetry levels can be set via Snowsight, some require using SQL commands for full flexibility.\u003C/p\u003E\n","\u003Cp\u003EFor this quickstart, we will focus on enabling telemetry at the account level. We will show you both the SQL and Snowsight methods, and use the default table.\u003C/p\u003E\n","\u003Cp\u003EComplete \u003Cstrong\u003Eone\u003C/strong\u003E of the following:\u003C/p\u003E\n","\u003Ch3\u003E(Option 1): Setting Telemetry Levels via Snowsight\u003C/h3\u003E\n","\u003Cp\u003EYou can use Snowsight to set telemetry levels at the account level.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ESign in to Snowsight.\u003C/li\u003E\u003Cli\u003EIn the navigation menu, select \u003Cstrong\u003EMonitoring\u003C/strong\u003E » \u003Cstrong\u003ETraces and Logs\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EOn the Traces & Logs page, select \u003Cstrong\u003ESet Event Level\u003C/strong\u003E.\u003C/li\u003E\u003Cli\u003EFor \u003Cstrong\u003ESet logging & tracing for\u003C/strong\u003E, ensure \u003Cstrong\u003EAccount\u003C/strong\u003E is selected.\u003C/li\u003E\u003Cli\u003ESet your desired levels:\n\u003Col\u003E\u003Cli\u003EFor \u003Cstrong\u003EAll Events\u003C/strong\u003E, select \u003Cstrong\u003EOn\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EFor \u003Cstrong\u003ELogs\u003C/strong\u003E, select \u003Cstrong\u003EINFO\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EEnsure all other fields show as \u003Cstrong\u003EOn\u003C/strong\u003E.\u003C/li\u003E\u003C/ol\u003E\n\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EYou can see the \u003Cstrong\u003ESet Event Level\u003C/strong\u003E dialog box below.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/set-event-level-light.png\" alt=\"\"\u003E\u003C/p\u003E\n","\u003Ch3\u003E(Option 2): Setting Telemetry Levels via SQL\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003EOpen a new SQL worksheet or a <a href="https://app.snowflake.com/_deeplink/#/workspaces?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_content=getting-started-with-snowflake-trail-for-observability&utm_cta=developer-guides-deeplink" class="_deeplink">workspace</a>.\u003C/li\u003E\u003Cli\u003ERun the following:\u003C/li\u003E\u003C/ol\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Switch to ACCOUNTADMIN\nUSE ROLE ACCOUNTADMIN;\n\n-- Set account level values\nALTER ACCOUNT SET LOG_LEVEL = 'INFO'; \nALTER ACCOUNT SET METRIC_LEVEL = 'ALL'; \nALTER ACCOUNT SET TRACE_LEVEL = 'ALWAYS'; \n\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENote that valid and default values are as follows:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ELevel\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EValid Values\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDefault Value\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ELOG_LEVEL\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETRACE\u003C/code\u003E, \u003Ccode\u003EDEBUG\u003C/code\u003E, \u003Ccode\u003EINFO\u003C/code\u003E, \u003Ccode\u003EWARN\u003C/code\u003E, \u003Ccode\u003EERROR\u003C/code\u003E, \u003Ccode\u003EFATAL\u003C/code\u003E, \u003Ccode\u003EOFF\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOFF\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EMETRIC_LEVEL\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EALL\u003C/code\u003E, \u003Ccode\u003ENONE\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ENONE\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003ETRACE_LEVEL\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EALWAYS\u003C/code\u003E, \u003Ccode\u003EON_EVENT\u003C/code\u003E, \u003Ccode\u003EOFF\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003EOFF\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/telemetry-levels\"\u003ESetting levels for logging, metrics, and tracing | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/telemetry-levels#how-snowflake-determines-the-level-in-effect\"\u003EHow Snowflake determines the level in effect | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETraces\u003C/h2\u003E\n","\u003Cp\u003EA \u003Cstrong\u003Etrace\u003C/strong\u003E represents the complete execution path of a request through your Snowflake workloads. It provides a detailed view of how operations flow through different components, helping you understand performance bottlenecks, dependencies, and execution patterns. Each trace is made up of one or more \u003Cstrong\u003Espans\u003C/strong\u003E, where each span represents a single operation within the trace (like a SQL query, UDF execution, or procedure call).\u003C/p\u003E\n","\u003Ch3\u003EWhy Traces Are Useful\u003C/h3\u003E\n","\u003Cp\u003ETraces help you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EUnderstand the end-to-end execution flow of complex operations\u003C/li\u003E\u003Cli\u003EIdentify performance bottlenecks and slow operations\u003C/li\u003E\u003Cli\u003EDebug issues by seeing the exact sequence of operations\u003C/li\u003E\u003Cli\u003EOptimize query and procedure performance\u003C/li\u003E\u003Cli\u003EMonitor dependencies between different components\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAccessing Traces in Snowsight\u003C/h3\u003E\n","\u003Cp\u003EThe easiest way to get started with traces is through the Trace Explorer UI in Snowsight:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EMonitoring\u003C/strong\u003E » \u003Cstrong\u003ETraces and Logs\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E(Optional) Use filters to narrow down the returned results.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EYou'll now have a list of all the traces for your event table. The Trace Explorer interface shows a list of traces with key information such as Date, Duration, Trace Name, Status, and number of Spans in the trace.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/traces-list.png\" alt=\"An screenshot of the Trace Explorer console showing a list of traces\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can now click on any trace to view its spans in detail.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf you don't see any traces after enabling tracing, you'll need to execute operations that generate traces, such as stored procedures or UDFs.\u003C/p\u003E\n","\u003Cp\u003ENote that simple DML/DQL SQL commands executed directly in a worksheet or workspace \u003Cstrong\u003Edo not generate traces\u003C/strong\u003E. Traces are only generated when SQL is executed within supported handler code.\u003C/p\u003E\n","\u003Cp\u003EFor a complete walkthrough with examples, see: \u003Ca href=\"/en/developers/guides/getting-started-with-traces/\"\u003EGetting Started with Traces\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EViewing Trace Details\u003C/h3\u003E\n","\u003Cp\u003EWhen you click on a trace, you'll see a detailed view showing the timeline of all spans within that trace. This view allows you to:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EFilter by Span Type\u003C/strong\u003E: Use the \u003Cstrong\u003ESpan Type\u003C/strong\u003E drop-down to show or hide spans by type (\u003Cem\u003EAll\u003C/em\u003E, \u003Cem\u003EUDF\u003C/em\u003E, \u003Cem\u003EProcedures\u003C/em\u003E, \u003Cem\u003EStreamlit\u003C/em\u003E, and/or \u003Cem\u003EQuery\u003C/em\u003E).\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EChange the Legend\u003C/strong\u003E: Use the \u003Cstrong\u003ELegend\u003C/strong\u003E drop-down to switch how spans are colored - either by \u003Cem\u003EType\u003C/em\u003E (operation type) or by \u003Cem\u003EQuery\u003C/em\u003E (Query ID).\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-span.png\" alt=\"An screenshot of the Trace Explorer console showing the component spans.\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EViewing Span Details\u003C/h3\u003E\n","\u003Cp\u003EClicking on any individual span in the trace opens a sidebar with four tabs: \u003Cstrong\u003EDetails\u003C/strong\u003E, \u003Cstrong\u003ESpan Events\u003C/strong\u003E, \u003Cstrong\u003ERelated Metrics\u003C/strong\u003E, and \u003Cstrong\u003ELogs\u003C/strong\u003E.\u003C/p\u003E\n","\u003Ch4\u003EDetails\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EDetails\u003C/strong\u003E tab shows info and attributes about the selected span, including Trace ID, Span ID, Duration, Type, Warehouse, and more.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-details.png\" alt=\"An screenshot of the Trace Explorer console showing details about the span step\"\u003E\u003C/p\u003E\n","\u003Ch4\u003ESpan Events\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ESpan Events\u003C/strong\u003E tab shows details of events recorded within the span.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-span-events.png\" alt=\"An screenshot of the Trace Explorer console showing details about span events\"\u003E\u003C/p\u003E\n","\u003Ch4\u003ERelated Metrics\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ERelated Metrics\u003C/strong\u003E tab shows CPU and memory metrics related to the span.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-metrics.png\" alt=\"An screenshot of the Trace Explorer console showing details about related metrics\"\u003E\u003C/p\u003E\n","\u003Ch4\u003ELogs\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ELogs\u003C/strong\u003E tab shows logs directly related to the trace.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-log.png\" alt=\"An screenshot of the Trace Explorer console showing details about related logs\"\u003E\u003C/p\u003E\n","\u003Cp\u003EThis detailed information helps you understand exactly what happened during each operation and identify optimization opportunities.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EFor full details on each of the above fields, see the \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing-accessing-events\"\u003Edocumentation here\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-traces/\"\u003EGetting Started with Traces | Quickstart\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/java-trace-events/\"\u003EUsing trace events in Java | Quickstart\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing-accessing-events\"\u003EViewing trace data | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing\"\u003ETrace events for functions and procedures | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing-custom-spans\"\u003EAdding custom spans to a trace | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ELogs\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003ELogs\u003C/strong\u003E are structured records of events that occur during the execution of your Snowflake workloads. They provide detailed information about what happened during code execution, including informational messages, warnings, errors, and debug information. Logs are essential for troubleshooting issues, understanding application behavior, and monitoring the health of your systems.\u003C/p\u003E\n","\u003Ch3\u003EWhy Logs Are Useful\u003C/h3\u003E\n","\u003Cp\u003ELogs help you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EDebug issues by providing detailed error messages and stack traces\u003C/li\u003E\u003Cli\u003EMonitor application behavior and performance\u003C/li\u003E\u003Cli\u003EAudit operations and track important events\u003C/li\u003E\u003Cli\u003EUnderstand the flow of execution in complex procedures\u003C/li\u003E\u003Cli\u003EIdentify patterns in application usage or errors\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAccessing Logs in Snowsight\u003C/h3\u003E\n","\u003Cp\u003ETo view logs in Snowsight:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EMonitoring\u003C/strong\u003E » \u003Cstrong\u003ETraces & Logs\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EClick on the \u003Cstrong\u003ELogs\u003C/strong\u003E tab to switch from the default traces view.\u003C/li\u003E\u003Cli\u003E(Optional) Use the filters to find specific logs. For example:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003ETime Range\u003C/strong\u003E can be set either by using the drop-down or by clicking on the graph.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ESeverity\u003C/strong\u003E can be used to select specific log levels (DEBUG, WARN, etc).\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ELanguages\u003C/strong\u003E allows filtering by handler code language (Python, Java, etc).\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EDatabase\u003C/strong\u003E allows filtering by specific procedures, functions, or applications.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ERecord\u003C/strong\u003E allows selecting Logs, Events, or All.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003ELog Details\u003C/h3\u003E\n","\u003Cp\u003EBy default, you will be shown a list of logs sorted by timestamp.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/logs-list.png\" alt=\"A screenshot showing a list of logs in the Snowsight console\"\u003E\u003C/p\u003E\n","\u003Cp\u003EYou can also click on any log entry to bring up a sidebar with more details, including the full log text.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/logs-details.png\" alt=\"A screenshot showing details of one specific log in the sidebar\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf you don't see any logs after enabling logging, you'll need to execute operations that generate logs. such as UDFs or stored procedures with logging statements.\u003C/p\u003E\n","\u003Cp\u003EFor a complete walkthrough with examples, see: \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/logging-log-messages\"\u003EGetting Started with Logging\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/logging#label-logging-handler-code\"\u003ELogging messages from handler code | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/logging-accessing-messages\"\u003EViewing log messages | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EQuery History\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003EQuery History\u003C/strong\u003E provides a comprehensive view of all SQL queries executed in your Snowflake account. It's one of the most important tools for monitoring, troubleshooting, and optimizing database performance. Query History shows detailed information about query execution, performance metrics, and resource usage patterns.\u003C/p\u003E\n","\u003Ch3\u003EWhy Query History Is Useful\u003C/h3\u003E\n","\u003Cp\u003EQuery History helps you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EMonitor query performance and identify slow-running queries\u003C/li\u003E\u003Cli\u003EAnalyze resource usage and warehouse utilization\u003C/li\u003E\u003Cli\u003ETroubleshoot failed queries and understand error patterns\u003C/li\u003E\u003Cli\u003ETrack query execution trends over time\u003C/li\u003E\u003Cli\u003EOptimize queries by understanding execution patterns\u003C/li\u003E\u003Cli\u003EAudit database activity and user behavior\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EQuery history can be viewed as \u003Cstrong\u003EIndividual Queries\u003C/strong\u003E or \u003Cstrong\u003EGrouped Queries\u003C/strong\u003E.\u003C/p\u003E\n","\u003Ch3\u003EAccessing Query History in Snowsight (Individual Queries)\u003C/h3\u003E\n","\u003Cp\u003ETo view Query History in Snowsight:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EMonitoring\u003C/strong\u003E » \u003Cstrong\u003EQuery History\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E(Optional) Use the filters to find specific queries:\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EStatus\u003C/strong\u003E: Filter by execution status (Success, Failed, etc.)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EUser\u003C/strong\u003E: Filter by specific users\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETime Range\u003C/strong\u003E: Filter by execution time\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EFilters\u003C/strong\u003E: Various other filters to help you find a specific query.\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EWhen you click on any query in the history, you'll see three main tabs with detailed information:\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-list.png\" alt=\"A screenshot of the Query History UI in Snowsight\"\u003E\u003C/p\u003E\n","\u003Ch4\u003EQuery Details\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EQuery Details\u003C/strong\u003E tab shows details about the query run (status, duration, ID, etc), the SQL text of the query run, and the query results.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EBy default, the query text for failed queries is redacted. You can change this behavior by following the following KB article: \u003Ca href=\"https://community.snowflake.com/s/article/SQL-text-is-showing-redacted-for-failed-queries\"\u003ESQL text is showing redacted for failed queries\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-details.png\" alt=\"A screenshot of the detailed view of one query in Query History\"\u003E\u003C/p\u003E\n","\u003Ch4\u003EQuery Profile\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EQuery Profile\u003C/strong\u003E tab provides a visual representation of query execution, which provides critical details for debugging and optimizing complex queries.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-profile.png\" alt=\"A screenshot of the Query Profile showing the execution tree visualization \"\u003E\u003C/p\u003E\n","\u003Cp\u003EFor a list of all possible fields, see the \u003Ca href=\"https://docs.snowflake.com/en/user-guide/ui-snowsight-activity#query-profile-reference\"\u003Edocumentation here\u003C/a\u003E.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EThe Query Profile is essential for query optimization. Look for:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESteps with the highest percentage of total time\u003C/li\u003E\u003Cli\u003ELarge data movements between nodes\u003C/li\u003E\u003Cli\u003EInefficient join strategies\u003C/li\u003E\u003Cli\u003EMissing or unused indexes\u003C/li\u003E\u003C/ul\u003E\n\u003C/blockquote\u003E\n","\u003Ch4\u003EQuery Telemetry\u003C/h4\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003EQuery Telemetry\u003C/strong\u003E tab shows the same telemetry data as the Trace Explorer.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-telemetry.png\" alt=\"A screenshot of the Query Telemetry tab showing traces and spans for a query.\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EAccessing Grouped Query History in Snowsight\u003C/h3\u003E\n","\u003Cp\u003ESnowsight also provides \u003Cstrong\u003EGrouped Query History\u003C/strong\u003E, which aggregates similar queries together:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EMonitoring\u003C/strong\u003E » \u003Cstrong\u003EQuery History\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EClick on the \u003Cstrong\u003EGrouped Queries\u003C/strong\u003E tab\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EThis feature helps you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EIdentify the most frequently executed query patterns\u003C/li\u003E\u003Cli\u003ESee aggregate performance metrics across similar queries\u003C/li\u003E\u003Cli\u003ESpot trends in query execution patterns\u003C/li\u003E\u003Cli\u003EFocus optimization efforts on the most impactful queries\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-grouped.png\" alt=\"A screenshot of the Grouped Queries tab in Snowsight\"\u003E\u003C/p\u003E\n","\u003Cp\u003EBy clicking into a single grouped query, you can see detailed information about execution count, duration, and more.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-grouped-query.png\" alt=\"A screenshot of the detailed view for one grouped query\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/ui-snowsight-activity\"\u003EMonitor query activity with Query History | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/ui-query-profile\"\u003EQuery profiling | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/sql-reference/account-usage/query_history\"\u003EQUERY_HISTORY view | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/ui-snowsight-activity#query-profile-reference\"\u003EQuery Profile reference | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ECopy History\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECopy History\u003C/strong\u003E provides comprehensive monitoring for all data loading activities in your Snowflake account. It tracks operations from COPY INTO commands, Snowpipe, and Snowpipe Streaming, giving you visibility into data ingestion performance, errors, and throughput patterns.\u003C/p\u003E\n","\u003Ch3\u003EWhy Copy History Is Useful\u003C/h3\u003E\n","\u003Cp\u003ECopy History helps you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EMonitor data loading performance and identify bottlenecks\u003C/li\u003E\u003Cli\u003ETrack successful and failed data loading operations\u003C/li\u003E\u003Cli\u003EAnalyze data ingestion patterns and volume trends\u003C/li\u003E\u003Cli\u003ETroubleshoot data loading errors and validation issues\u003C/li\u003E\u003Cli\u003EOptimize data loading strategies and warehouse sizing\u003C/li\u003E\u003Cli\u003EAudit data ingestion activities across your organization\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAccessing Copy History in Snowsight\u003C/h3\u003E\n","\u003Cp\u003ETo view Copy History in Snowsight:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EIngestion\u003C/strong\u003E » \u003Cstrong\u003ECopy History\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E(Optional) Use the filters to narrow down activity by status, database, pipe, and more.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003ECopy Operations\u003C/h3\u003E\n","\u003Cp\u003EEach copy operation entry shows details such as status, target table, pipe, data size, and number of rows loaded.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/copy-history-list.png\" alt=\"A screenshot of the Copy History page in Snowsight showing filter options\"\u003E\u003C/p\u003E\n","\u003Cp\u003EClick on any operation to see detailed information about that operation/target table, such as individual file details and status.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/copy-history-record.png\" alt=\"A screenshot of the Copy History view for a single table in Snowsight showing filter options\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf you don't see any copy history, you'll need to perform data loading operations (\u003Ccode\u003ECOPY INTO\u003C/code\u003E, Snowpipe, or Snowpipe Streaming).\u003C/p\u003E\n","\u003Cp\u003EFor a complete walkthrough with examples, see ONE of the following:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-snowpipe/\"\u003EGetting Started with Snowpipe\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-snowpipe-streaming-azure-eventhubs/\"\u003EGetting Started with Snowpipe Streaming and Azure Event Hubs\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-load-monitor\"\u003EMonitor data loading activity by using Copy History | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-load-monitor\"\u003EMonitor data loading activity by using Copy History | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ETask History\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETask History\u003C/strong\u003E provides monitoring and observability for Snowflake Tasks, which are scheduled SQL statements or procedures that run automatically. Tasks are essential for building data pipelines, ETL processes, and automated maintenance operations. Task History helps you monitor task execution, troubleshoot failures, and optimize task performance.\u003C/p\u003E\n","\u003Ch3\u003EWhy Task History Is Useful\u003C/h3\u003E\n","\u003Cp\u003ETask History helps you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EMonitor task execution success and failure rates\u003C/li\u003E\u003Cli\u003ETrack task performance and execution duration trends\u003C/li\u003E\u003Cli\u003ETroubleshoot failed tasks and identify error patterns\u003C/li\u003E\u003Cli\u003EAnalyze task scheduling and dependency execution\u003C/li\u003E\u003Cli\u003EOptimize task graphs and pipeline performance\u003C/li\u003E\u003Cli\u003EAudit automated operations across your data pipelines\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAccessing Task History in Snowsight\u003C/h3\u003E\n","\u003Cp\u003ETo view Task History in Snowsight:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003ETransformation\u003C/strong\u003E » \u003Cstrong\u003ETasks\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E(Optional) Use the filters to narrow down activity by status, database, and more.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003ETask History can be viewed as either \u003Cstrong\u003ETask Graphs\u003C/strong\u003E or \u003Cstrong\u003ETask Runs\u003C/strong\u003E.\u003C/p\u003E\n","\u003Ch3\u003ETask Graphs\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ETask Graphs\u003C/strong\u003E view groups related tasks together in a directed acyclic graph (DAG) that shows the relationship between the root task and any dependent tasks. Each row shows the root task name, schedule, recent run history, and more.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-graphs.png\" alt=\"A screenshot showing the Tasks Graphs UI in Snowsight\"\u003E\u003C/p\u003E\n","\u003Cp\u003EClick on any task execution to see detailed information including child task names, status, duration, and more. The real value of this is to be able to see dependencies between different tasks.\u003C/p\u003E\n<!-- \n! TODO replace screenshot with one showing child tasks (and performance info if possible). -->\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-graph-details.png\" alt=\"A screenshot showing the task graph details\"\u003E\u003C/p\u003E\n","\u003Ch3\u003ETasks Runs\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Cstrong\u003ETasks Runs\u003C/strong\u003E view shows individual task executions without grouping by parent task.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-runs.png\" alt=\"A screenshot showing the list of task runs\"\u003E\u003C/p\u003E\n","\u003Cp\u003EClicking into any task run will bring you to the Run History for that task.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-runs-details.png\" alt=\"A screenshot showing the task runs for a single task\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf you don't see any task history, you'll need to create and run some tasks.\u003C/p\u003E\n","\u003Cp\u003EFor a step-by-step guide with examples, try one of these quickstarts:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-streams-and-tasks/\"\u003EGetting Started with Streams & Tasks\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-task-graphs/\"\u003EGetting Started with Snowflake Task Graphs\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-streams-and-tasks/\"\u003EGetting Started with Streams & Tasks\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-task-graphs/\"\u003EGetting Started with Snowflake Task Graphs\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/tasks-intro\"\u003EIntroduction to tasks | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/tasks-graphs\"\u003ETask graphs | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/tasks-monitor\"\u003EMonitoring task Runs | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EDynamic Tables\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003EDynamic Tables\u003C/strong\u003E are a table type that automatically materializes the results of a query and keeps them updated as the underlying data changes. They combine the simplicity of views with the performance of materialized data, automatically managing refresh operations. Dynamic Tables monitoring helps you track refresh performance, data freshness, and resource usage.\u003C/p\u003E\n","\u003Ch3\u003EWhy Dynamic Tables Monitoring Is Useful\u003C/h3\u003E\n","\u003Cp\u003EDynamic Tables monitoring helps you:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ETrack refresh performance and identify optimization opportunities\u003C/li\u003E\u003Cli\u003EMonitor data freshness and lag times\u003C/li\u003E\u003Cli\u003EAnalyze resource consumption for materialized views\u003C/li\u003E\u003Cli\u003ETroubleshoot refresh failures and dependency issues\u003C/li\u003E\u003Cli\u003EOptimize refresh strategies and warehouse sizing\u003C/li\u003E\u003Cli\u003EEnsure data pipeline reliability and performance\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAccessing Dynamic Tables in Snowsight\u003C/h3\u003E\n","\u003Cp\u003ETo view Dynamic Tables monitoring in Snowsight:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003ETransformation\u003C/strong\u003E » \u003Cstrong\u003EDynamic Tables\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E(Optional) Use the filters to narrow down by refresh status and database.\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EDynamic Table Refreshes\u003C/h3\u003E\n","\u003Cp\u003EFor each Dynamic Table, we get info such as status, target lag, database, and more.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/dynamic-tables-list.png\" alt=\"A screenshot showing the Dynamic Tables UI\"\u003E\u003C/p\u003E\n","\u003Cp\u003EClicking on any table will bring you to the graph view for that table.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/dynamic-tables-graph.png\" alt=\"A screenshot showing the graph view of a dynamic table\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EIf you don't see any Dynamic Tables, you'll need to create one first.\u003C/p\u003E\n","\u003Cp\u003EFor a step-by-step guide, try this quickstart: \u003Ca href=\"/en/developers/guides/getting-started-with-dynamic-tables/\"\u003EGetting Started with Snowflake Dynamic Tables\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/dynamic-tables-about\"\u003EDynamic tables | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/dynamic-tables-monitor\"\u003EMonitor dynamic tables | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh\"\u003EDynamic table refresh | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAI Observability\u003C/h2\u003E\n","\u003Cp\u003E\u003Cstrong\u003EAI Observability\u003C/strong\u003E in Snowflake provides monitoring and insights for AI/ML workloads, including Cortex AI functions and model inference operations. As AI becomes increasingly integrated into data workflows, observability helps ensure AI operations are performing reliably and cost-effectively.\u003C/p\u003E\n","\u003Cp\u003EAI Observability has the following features:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EEvaluations\u003C/strong\u003E: Use AI Observability to systematically evaluate the performance of your generative AI applications and agents using the LLM-as-a-judge technique. You can use metrics, such as accuracy, latency, usage, and cost, to quickly iterate on your application configurations and optimize performance.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EComparison\u003C/strong\u003E: Compare multiple evaluations side by side and assess the quality and accuracy of responses. You can analyze the responses across different LLMs, prompts, and inference configurations to identify the best configuration for production deployments.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETracing\u003C/strong\u003E: Trace every step of application executions across input prompts, retrieved context, tool use, and LLM inference. Use it to debug individual records and refine the app for accuracy, latency, and cost.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EAdditional Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-ai-observability/\"\u003EGetting Started with AI Observability | Quickstart\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-ml-observability-in-snowflake/\"\u003EGetting Started with ML Observability in Snowflake | Quickstart\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/user-guide/snowflake-cortex/ai-observability\"\u003EAI Observability in Snowflake Cortex | Snowflake Cortex\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion And Resources\u003C/h2\u003E\n","\u003Cp\u003ECongratulations! You have successfully explored the comprehensive observability capabilities available in Snowflake Trail. By following this quickstart, you've gained hands-on experience with the key components that make up Snowflake's observability platform.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n","\u003Cp\u003EThrough this quickstart, you have learned how to:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EEnabled telemetry collection\u003C/strong\u003E at the account level to start capturing logs, metrics, and traces\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EKnow the difference\u003C/strong\u003E between System Views (historical data) and Telemetry data (event-driven observability)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EUtilize traces\u003C/strong\u003E to gain end-to-end insight of execution flows and identify performance bottlenecks\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EAnalyze logs\u003C/strong\u003E to debug issues and monitor application behavior\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ELeverage Query History\u003C/strong\u003E to optimize query performance and troubleshoot database operations\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EMonitor data loading\u003C/strong\u003E activities through Copy History for all ingestion methods\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003ETrack automated operations\u003C/strong\u003E using Task History for pipeline monitoring\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EObserve Dynamic Tables\u003C/strong\u003E refresh patterns and data freshness\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExplore AI observability\u003C/strong\u003E concepts for monitoring AI/ML workloads and Cortex AI functions\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EBuild a foundational understanding\u003C/strong\u003E of the tools available for observability across your Snowflake workloads\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EPossible Next Steps\u003C/h3\u003E\n","\u003Cp\u003ENow that you have explored the basics of Snowflake Trail, consider these possible next steps:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EConfigure alerts and notifications\u003C/strong\u003E based on the telemetry data you're now collecting\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EIntegrate external observability tools\u003C/strong\u003E such as \u003Ca href=\"https://docs.snowflake.com/en/developer-guide/builders/observability#tools-for-analysis-and-visualization\"\u003EGrafana, Observe for Snowflake, or Datadog\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EBuild custom dashboards\u003C/strong\u003E for your specific monitoring needs using the observability data\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EImplement automated monitoring\u003C/strong\u003E workflows using Tasks and event-driven architectures\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EExplore advanced observability patterns\u003C/strong\u003E for your specific workload types\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n","\u003Ch4\u003ECore Documentation\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up\"\u003EEvent tables overview | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/logging-tracing-overview\"\u003ELogging, tracing, and metrics | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/logging\"\u003ELogging messages from functions and procedures | Snowflake Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-observability\"\u003EAI Observability in Snowflake Cortex\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch4\u003EQuickstart Guides\u003C/h4\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-ai-observability/\"\u003EGetting Started with AI Observability\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/alert-on-events/\"\u003EGetting Started with Event Tables and Alerts\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-dynamic-tables/\"\u003EGetting Started with Snowflake Dynamic Tables\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-task-graphs/\"\u003EGetting Started with Snowflake Task Graphs\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-snowpipe-streaming-azure-eventhubs/\"\u003EGetting Started with Snowpipe Streaming and Azure Event Hubs\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-snowpipe/\"\u003EGetting Started with Snowpipe\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-streams-and-tasks/\"\u003EGetting Started with Streams & Tasks\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"/en/developers/guides/getting-started-with-traces/\"\u003EGetting Started with Traces\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"title":"Getting Started with Snowflake Trail for Observability","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\n\nSnowflake Trail is Snowflake's suite of observability capabilities that enable its users to better monitor, troubleshoot, debug and take actions on pipelines, apps, user code and compute utilizations.\n\n![Snowflake Trail Infographic](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/snowflake-trail-25-new.svg)\n\nAs you can see above, Snowflake Trail utilizes core observability data — logs, metrics, traces, events, alerts, and notifications — to provide comprehensive workload monitoring across AI, applications, pipelines, and infrastructure.\n\nThis quickstart is intended to help tie together all the components of Snowflake Trail, and in turn, help you get started with Observability in Snowflake. While this quickstart will walk you through the basics of enabling and viewing telemetry, you will need to dive deeper into each area in order to fully understand Snowflake Trail. So wherever possible, links will be provided to additional quickstarts, documentation, and resources.\n\n\u003C!-- Without trailing punctuation or some other character after `Learn`, the bullets don't appear under this section. BUT ONLY for this header, the other two are fine... Literally no idea why... but adding : to all three for consistency --\u003E\n### What You'll Learn:\n\n- How to enable telemetry collection in your Snowflake account\n- The difference between system views and telemetry data in Snowflake\n- How to use the Snowsight monitoring interfaces for traces, logs, and query history\n- How to access and understand observability data in Snowflake\n\n### What You'll Need:\n\n- A Snowflake account. If you do not have a Snowflake account, you can register for a [free trial account](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides).\n- A Snowflake account login with the `ACCOUNTADMIN` role, or a custom role with privileges to:\n  - Set account-level parameters (`ALTER ACCOUNT`)\n  - View and query event tables (`SELECT` on `SNOWFLAKE.TELEMETRY.*`)\n  - Access monitoring features in Snowsight\n- Basic familiarity with SQL and Snowflake concepts\n- About 45 minutes to complete this quickstart\n\n### What You'll Build:\n\n- A Snowflake account with telemetry collection enabled at the account level\n- Understanding of how to navigate and use Snowflake's built-in monitoring tools\n- Foundation for implementing comprehensive observability across your Snowflake workloads\n\n\u003C!-- ------------------------ --\u003E\n## Data Source Overview\n\n\nObservability in Snowflake comes in two main categories: System Views and Telemetry.\n\n**System Views** provide historical data about your Snowflake account through views and table functions in the following schemas:\n\n   1. The [Snowflake Information Schema](https://docs.snowflake.com/en/sql-reference/info-schema) (`INFORMATION_SCHEMA`) in every Snowflake database\n   1. The [Account Usage](https://docs.snowflake.com/en/sql-reference/account-usage) (`ACCOUNT_USAGE` and `READER_ACCOUNT_USAGE`) in the Snowflake database\n   1. The [Organization Usage](https://docs.snowflake.com/en/sql-reference/organization-usage) (`ORGANIZATION_USAGE`) in the Snowflake database\n\n**Telemetry data**, on the other hand, is delivered exclusively through [event tables](https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up). An event table is a special kind of database table with a [predefined set of columns](https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-columns) that follows the data model for [OpenTelemetry](https://opentelemetry.io/) - a leading the industry standard for collecting and structuring observability data across systems.\n\nThis distinction is important because of the default behavior of each:\n\n- System Views are always available and automatically populated with data about your Snowflake usage\n- Telemetry data requires you to **explicitly enable collection** by setting levels for logging, metrics, and tracing\n\n\u003C!-- ------------------------ --\u003E\n## Enabling Telemetry\n\n\nBy default, Snowflake includes a [predefined event table](https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up#label-logging-event-table-default) (`SNOWFLAKE.TELEMETRY.EVENTS`) that is used if you don't specify an active event table. You can also [create your own event tables](https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up#label-logging-event-table-custom) for specific uses.\n\nMost telemetry levels can be set at the account, object, or session level. And while many of the telemetry levels can be set via Snowsight, some require using SQL commands for full flexibility.\n\nFor this quickstart, we will focus on enabling telemetry at the account level. We will show you both the SQL and Snowsight methods, and use the default table.\n\nComplete **one** of the following:\n\n### (Option 1): Setting Telemetry Levels via Snowsight\n\nYou can use Snowsight to set telemetry levels at the account level.\n\n1. Sign in to Snowsight.\n1. In the navigation menu, select **Monitoring** » **Traces and Logs**.\n1. On the Traces & Logs page, select **Set Event Level**.\n1. For **Set logging & tracing for**, ensure **Account** is selected.\n1. Set your desired levels:\n   1. For **All Events**, select **On**\n   1. For **Logs**, select **INFO**\n   1. Ensure all other fields show as **On**.\n1. Click **Save**.\n\nYou can see the **Set Event Level** dialog box below.\n\n![](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/set-event-level-light.png)\n\n### (Option 2): Setting Telemetry Levels via SQL\n\n1. Open a new SQL worksheet or a \u003Ca href=\"https://app.snowflake.com/_deeplink/#/workspaces?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_content=getting-started-with-snowflake-trail-for-observability&utm_cta=developer-guides-deeplink\" class=\"_deeplink\"\u003Eworkspace\u003C/a\u003E.\n1. Run the following:\n\n```sql\n-- Switch to ACCOUNTADMIN\nUSE ROLE ACCOUNTADMIN;\n\n-- Set account level values\nALTER ACCOUNT SET LOG_LEVEL = 'INFO'; \nALTER ACCOUNT SET METRIC_LEVEL = 'ALL'; \nALTER ACCOUNT SET TRACE_LEVEL = 'ALWAYS'; \n\n```\n\nNote that valid and default values are as follows:\n\n| Level          | Valid Values                                              | Default Value |\n| -------------- | --------------------------------------------------------- | ------------- |\n| `LOG_LEVEL`    | `TRACE`, `DEBUG`, `INFO`, `WARN`, `ERROR`, `FATAL`, `OFF` | `OFF`         |\n| `METRIC_LEVEL` | `ALL`, `NONE`                                             | `NONE`        |\n| `TRACE_LEVEL`  | `ALWAYS`, `ON_EVENT`, `OFF`                               | `OFF`         |\n\n### Additional Resources\n\n- [Setting levels for logging, metrics, and tracing | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/telemetry-levels)\n- [How Snowflake determines the level in effect | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/telemetry-levels#how-snowflake-determines-the-level-in-effect)\n\n\u003C!-- ------------------------ --\u003E\n## Traces\n\n\nA **trace** represents the complete execution path of a request through your Snowflake workloads. It provides a detailed view of how operations flow through different components, helping you understand performance bottlenecks, dependencies, and execution patterns. Each trace is made up of one or more **spans**, where each span represents a single operation within the trace (like a SQL query, UDF execution, or procedure call).\n\n### Why Traces Are Useful\n\nTraces help you:\n\n- Understand the end-to-end execution flow of complex operations\n- Identify performance bottlenecks and slow operations\n- Debug issues by seeing the exact sequence of operations\n- Optimize query and procedure performance\n- Monitor dependencies between different components\n\n### Accessing Traces in Snowsight\n\nThe easiest way to get started with traces is through the Trace Explorer UI in Snowsight:\n\n1. Navigate to **Monitoring** » **Traces and Logs**\n1. (Optional) Use filters to narrow down the returned results.\n\nYou'll now have a list of all the traces for your event table. The Trace Explorer interface shows a list of traces with key information such as Date, Duration, Trace Name, Status, and number of Spans in the trace.\n\n![An screenshot of the Trace Explorer console showing a list of traces](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/traces-list.png)\n\nYou can now click on any trace to view its spans in detail.\n\n\u003E\n\u003E If you don't see any traces after enabling tracing, you'll need to execute operations that generate traces, such as stored procedures or UDFs.\n\u003E\n\u003E Note that simple DML/DQL SQL commands executed directly in a worksheet or workspace **do not generate traces**. Traces are only generated when SQL is executed within supported handler code.\n\u003E\n\u003E For a complete walkthrough with examples, see: [Getting Started with Traces](/en/developers/guides/getting-started-with-traces/).\n\n### Viewing Trace Details\n\nWhen you click on a trace, you'll see a detailed view showing the timeline of all spans within that trace. This view allows you to:\n\n- **Filter by Span Type**: Use the **Span Type** drop-down to show or hide spans by type (_All_, _UDF_, _Procedures_, _Streamlit_, and/or _Query_).\n- **Change the Legend**: Use the **Legend** drop-down to switch how spans are colored - either by _Type_ (operation type) or by _Query_ (Query ID).\n\n![An screenshot of the Trace Explorer console showing the component spans.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-span.png)\n\n### Viewing Span Details\n\nClicking on any individual span in the trace opens a sidebar with four tabs: **Details**, **Span Events**, **Related Metrics**, and **Logs**.\n\n#### Details\n\nThe **Details** tab shows info and attributes about the selected span, including Trace ID, Span ID, Duration, Type, Warehouse, and more.\n\n![An screenshot of the Trace Explorer console showing details about the span step](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-details.png)\n\n#### Span Events\n\nThe **Span Events** tab shows details of events recorded within the span.\n\n![An screenshot of the Trace Explorer console showing details about span events](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-span-events.png)\n\n#### Related Metrics\n\nThe **Related Metrics** tab shows CPU and memory metrics related to the span.\n\n![An screenshot of the Trace Explorer console showing details about related metrics](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-metrics.png)\n\n#### Logs\n\nThe **Logs** tab shows logs directly related to the trace.\n\n![An screenshot of the Trace Explorer console showing details about related logs](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/trace-details-log.png)\n\nThis detailed information helps you understand exactly what happened during each operation and identify optimization opportunities.\n\n\u003E\n\u003E For full details on each of the above fields, see the [documentation here](https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing-accessing-events).\n\n### Additional Resources\n\n- [Getting Started with Traces | Quickstart](/en/developers/guides/getting-started-with-traces/)\n- [Using trace events in Java | Quickstart](/en/developers/guides/java-trace-events/)\n- [Viewing trace data | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing-accessing-events)\n- [Trace events for functions and procedures | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing)\n- [Adding custom spans to a trace | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/tracing-custom-spans)\n\n\u003C!-- ------------------------ --\u003E\n\n## Logs\n\n\n**Logs** are structured records of events that occur during the execution of your Snowflake workloads. They provide detailed information about what happened during code execution, including informational messages, warnings, errors, and debug information. Logs are essential for troubleshooting issues, understanding application behavior, and monitoring the health of your systems.\n\n### Why Logs Are Useful\n\nLogs help you:\n\n- Debug issues by providing detailed error messages and stack traces\n- Monitor application behavior and performance\n- Audit operations and track important events\n- Understand the flow of execution in complex procedures\n- Identify patterns in application usage or errors\n\n### Accessing Logs in Snowsight\n\nTo view logs in Snowsight:\n\n1. Navigate to **Monitoring** » **Traces & Logs**\n1. Click on the **Logs** tab to switch from the default traces view.\n1. (Optional) Use the filters to find specific logs. For example:\n   - **Time Range** can be set either by using the drop-down or by clicking on the graph.\n   - **Severity** can be used to select specific log levels (DEBUG, WARN, etc).\n   - **Languages** allows filtering by handler code language (Python, Java, etc).\n   - **Database** allows filtering by specific procedures, functions, or applications.\n   - **Record** allows selecting Logs, Events, or All.\n\n### Log Details\n\nBy default, you will be shown a list of logs sorted by timestamp.\n\n![A screenshot showing a list of logs in the Snowsight console](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/logs-list.png)\n\nYou can also click on any log entry to bring up a sidebar with more details, including the full log text.\n\n![A screenshot showing details of one specific log in the sidebar](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/logs-details.png)\n\n\u003E\n\u003E If you don't see any logs after enabling logging, you'll need to execute operations that generate logs. such as UDFs or stored procedures with logging statements.\n\u003E\n\u003E For a complete walkthrough with examples, see: [Getting Started with Logging](https://docs.snowflake.com/en/developer-guide/logging-tracing/logging-log-messages).\n\n### Additional Resources\n\n- [Logging messages from handler code | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/logging#label-logging-handler-code)\n- [Viewing log messages | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/logging-accessing-messages)\n\n\u003C!-- ------------------------ --\u003E\n## Query History\n\n\n**Query History** provides a comprehensive view of all SQL queries executed in your Snowflake account. It's one of the most important tools for monitoring, troubleshooting, and optimizing database performance. Query History shows detailed information about query execution, performance metrics, and resource usage patterns.\n\n### Why Query History Is Useful\n\nQuery History helps you:\n\n- Monitor query performance and identify slow-running queries\n- Analyze resource usage and warehouse utilization\n- Troubleshoot failed queries and understand error patterns\n- Track query execution trends over time\n- Optimize queries by understanding execution patterns\n- Audit database activity and user behavior\n\nQuery history can be viewed as **Individual Queries** or **Grouped Queries**.\n\n### Accessing Query History in Snowsight (Individual Queries)\n\nTo view Query History in Snowsight:\n\n1. Navigate to **Monitoring** » **Query History**\n1. (Optional) Use the filters to find specific queries:\n   - **Status**: Filter by execution status (Success, Failed, etc.)\n   - **User**: Filter by specific users\n   - **Time Range**: Filter by execution time\n   - **Filters**: Various other filters to help you find a specific query.\n\nWhen you click on any query in the history, you'll see three main tabs with detailed information:\n\n![A screenshot of the Query History UI in Snowsight](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-list.png)\n\n#### Query Details\n\nThe **Query Details** tab shows details about the query run (status, duration, ID, etc), the SQL text of the query run, and the query results.\n\n\u003E\n\u003E By default, the query text for failed queries is redacted. You can change this behavior by following the following KB article: [SQL text is showing redacted for failed queries](https://community.snowflake.com/s/article/SQL-text-is-showing-redacted-for-failed-queries).\n\n![A screenshot of the detailed view of one query in Query History](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-details.png)\n\n#### Query Profile\n\nThe **Query Profile** tab provides a visual representation of query execution, which provides critical details for debugging and optimizing complex queries.\n\n![A screenshot of the Query Profile showing the execution tree visualization ](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-profile.png)\n\nFor a list of all possible fields, see the [documentation here](https://docs.snowflake.com/en/user-guide/ui-snowsight-activity#query-profile-reference).\n\n\u003E\n\u003E The Query Profile is essential for query optimization. Look for:\n\u003E\n\u003E - Steps with the highest percentage of total time\n\u003E - Large data movements between nodes\n\u003E - Inefficient join strategies\n\u003E - Missing or unused indexes\n\n#### Query Telemetry\n\nThe **Query Telemetry** tab shows the same telemetry data as the Trace Explorer.\n\n![A screenshot of the Query Telemetry tab showing traces and spans for a query.](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-telemetry.png)\n\n### Accessing Grouped Query History in Snowsight\n\nSnowsight also provides **Grouped Query History**, which aggregates similar queries together:\n\n1. Navigate to **Monitoring** » **Query History**\n2. Click on the **Grouped Queries** tab\n\nThis feature helps you:\n\n- Identify the most frequently executed query patterns\n- See aggregate performance metrics across similar queries\n- Spot trends in query execution patterns\n- Focus optimization efforts on the most impactful queries\n\n![A screenshot of the Grouped Queries tab in Snowsight](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-grouped.png)\n\nBy clicking into a single grouped query, you can see detailed information about execution count, duration, and more.\n\n![A screenshot of the detailed view for one grouped query](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/query-history-grouped-query.png)\n\n### Additional Resources\n\n- [Monitor query activity with Query History | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/ui-snowsight-activity)\n- [Query profiling | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/ui-query-profile)\n- [QUERY_HISTORY view | Snowflake Documentation](https://docs.snowflake.com/en/sql-reference/account-usage/query_history)\n- [Query Profile reference | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/ui-snowsight-activity#query-profile-reference)\n\n\u003C!-- ------------------------ --\u003E\n## Copy History\n\n\n**Copy History** provides comprehensive monitoring for all data loading activities in your Snowflake account. It tracks operations from COPY INTO commands, Snowpipe, and Snowpipe Streaming, giving you visibility into data ingestion performance, errors, and throughput patterns.\n\n### Why Copy History Is Useful\n\nCopy History helps you:\n\n- Monitor data loading performance and identify bottlenecks\n- Track successful and failed data loading operations\n- Analyze data ingestion patterns and volume trends\n- Troubleshoot data loading errors and validation issues\n- Optimize data loading strategies and warehouse sizing\n- Audit data ingestion activities across your organization\n\n### Accessing Copy History in Snowsight\n\nTo view Copy History in Snowsight:\n\n1. Navigate to **Ingestion** » **Copy History**\n1. (Optional) Use the filters to narrow down activity by status, database, pipe, and more.\n\n### Copy Operations\n\nEach copy operation entry shows details such as status, target table, pipe, data size, and number of rows loaded.\n\n![A screenshot of the Copy History page in Snowsight showing filter options](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/copy-history-list.png)\n\nClick on any operation to see detailed information about that operation/target table, such as individual file details and status.\n\n![A screenshot of the Copy History view for a single table in Snowsight showing filter options](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/copy-history-record.png)\n\n\u003E\n\u003E If you don't see any copy history, you'll need to perform data loading operations (`COPY INTO`, Snowpipe, or Snowpipe Streaming).\n\u003E\n\u003E For a complete walkthrough with examples, see ONE of the following:\n\u003E\n\u003E - [Getting Started with Snowpipe](/en/developers/guides/getting-started-with-snowpipe/)\n\u003E - [Getting Started with Snowpipe Streaming and Azure Event Hubs](/en/developers/guides/getting-started-with-snowpipe-streaming-azure-eventhubs/)\n\n### Additional Resources\n\n- [Monitor data loading activity by using Copy History | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/data-load-monitor)\n- [Monitor data loading activity by using Copy History | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/data-load-monitor)\n\n\u003C!-- ------------------------ --\u003E\n## Task History\n\n\n**Task History** provides monitoring and observability for Snowflake Tasks, which are scheduled SQL statements or procedures that run automatically. Tasks are essential for building data pipelines, ETL processes, and automated maintenance operations. Task History helps you monitor task execution, troubleshoot failures, and optimize task performance.\n\n### Why Task History Is Useful\n\nTask History helps you:\n\n- Monitor task execution success and failure rates\n- Track task performance and execution duration trends\n- Troubleshoot failed tasks and identify error patterns\n- Analyze task scheduling and dependency execution\n- Optimize task graphs and pipeline performance\n- Audit automated operations across your data pipelines\n\n### Accessing Task History in Snowsight\n\nTo view Task History in Snowsight:\n\n1. Navigate to **Transformation** » **Tasks**\n1. (Optional) Use the filters to narrow down activity by status, database, and more.\n\nTask History can be viewed as either **Task Graphs** or **Task Runs**.\n\n### Task Graphs\n\nThe **Task Graphs** view groups related tasks together in a directed acyclic graph (DAG) that shows the relationship between the root task and any dependent tasks. Each row shows the root task name, schedule, recent run history, and more.\n\n![A screenshot showing the Tasks Graphs UI in Snowsight](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-graphs.png)\n\nClick on any task execution to see detailed information including child task names, status, duration, and more. The real value of this is to be able to see dependencies between different tasks.\n\n\u003C!-- \n! TODO replace screenshot with one showing child tasks (and performance info if possible). --\u003E\n\n![A screenshot showing the task graph details](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-graph-details.png)\n\n### Tasks Runs\n\nThe **Tasks Runs** view shows individual task executions without grouping by parent task.\n\n![A screenshot showing the list of task runs](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-runs.png)\n\nClicking into any task run will bring you to the Run History for that task.\n\n![A screenshot showing the task runs for a single task](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/tasks-runs-details.png)\n\n\u003E\n\u003E If you don't see any task history, you'll need to create and run some tasks.\n\u003E\n\u003E For a step-by-step guide with examples, try one of these quickstarts:\n\u003E\n\u003E - [Getting Started with Streams & Tasks](/en/developers/guides/getting-started-with-streams-and-tasks/)\n\u003E - [Getting Started with Snowflake Task Graphs](/en/developers/guides/getting-started-with-task-graphs/)\n\n### Additional Resources\n\n- [Getting Started with Streams & Tasks](/en/developers/guides/getting-started-with-streams-and-tasks/)\n- [Getting Started with Snowflake Task Graphs](/en/developers/guides/getting-started-with-task-graphs/)\n- [Introduction to tasks | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/tasks-intro)\n- [Task graphs | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/tasks-graphs)\n- [Monitoring task Runs | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/tasks-monitor)\n\n\u003C!-- ------------------------ --\u003E\n## Dynamic Tables\n\n\n**Dynamic Tables** are a table type that automatically materializes the results of a query and keeps them updated as the underlying data changes. They combine the simplicity of views with the performance of materialized data, automatically managing refresh operations. Dynamic Tables monitoring helps you track refresh performance, data freshness, and resource usage.\n\n### Why Dynamic Tables Monitoring Is Useful\n\nDynamic Tables monitoring helps you:\n\n- Track refresh performance and identify optimization opportunities\n- Monitor data freshness and lag times\n- Analyze resource consumption for materialized views\n- Troubleshoot refresh failures and dependency issues\n- Optimize refresh strategies and warehouse sizing\n- Ensure data pipeline reliability and performance\n\n### Accessing Dynamic Tables in Snowsight\n\nTo view Dynamic Tables monitoring in Snowsight:\n\n1. Navigate to **Transformation** » **Dynamic Tables**\n1. (Optional) Use the filters to narrow down by refresh status and database.\n\n### Dynamic Table Refreshes\n\nFor each Dynamic Table, we get info such as status, target lag, database, and more.\n\n![A screenshot showing the Dynamic Tables UI](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/dynamic-tables-list.png)\n\nClicking on any table will bring you to the graph view for that table.\n\n![A screenshot showing the graph view of a dynamic table](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-snowflake-trail-for-observability/dynamic-tables-graph.png)\n\n\u003E\n\u003E If you don't see any Dynamic Tables, you'll need to create one first.\n\u003E\n\u003E For a step-by-step guide, try this quickstart: [Getting Started with Snowflake Dynamic Tables](/en/developers/guides/getting-started-with-dynamic-tables/).\n\n### Additional Resources\n\n- [Dynamic tables | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/dynamic-tables-about)\n- [Monitor dynamic tables | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/dynamic-tables-monitor)\n- [Dynamic table refresh | Snowflake Documentation](https://docs.snowflake.com/en/user-guide/dynamic-tables-refresh)\n\n\u003C!-- ------------------------ --\u003E\n## AI Observability\n\n\n**AI Observability** in Snowflake provides monitoring and insights for AI/ML workloads, including Cortex AI functions and model inference operations. As AI becomes increasingly integrated into data workflows, observability helps ensure AI operations are performing reliably and cost-effectively.\n\nAI Observability has the following features:\n\n- **Evaluations**: Use AI Observability to systematically evaluate the performance of your generative AI applications and agents using the LLM-as-a-judge technique. You can use metrics, such as accuracy, latency, usage, and cost, to quickly iterate on your application configurations and optimize performance.\n- **Comparison**: Compare multiple evaluations side by side and assess the quality and accuracy of responses. You can analyze the responses across different LLMs, prompts, and inference configurations to identify the best configuration for production deployments.\n- **Tracing**: Trace every step of application executions across input prompts, retrieved context, tool use, and LLM inference. Use it to debug individual records and refine the app for accuracy, latency, and cost.\n\n### Additional Resources\n\n- [Getting Started with AI Observability | Quickstart](/en/developers/guides/getting-started-with-ai-observability/)\n- [Getting Started with ML Observability in Snowflake | Quickstart](/en/developers/guides/getting-started-with-ml-observability-in-snowflake/)\n- [AI Observability in Snowflake Cortex | Snowflake Cortex](https://docs.snowflake.com/user-guide/snowflake-cortex/ai-observability)\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion And Resources\n\n\nCongratulations! You have successfully explored the comprehensive observability capabilities available in Snowflake Trail. By following this quickstart, you've gained hands-on experience with the key components that make up Snowflake's observability platform.\n\n### What You Learned\n\nThrough this quickstart, you have learned how to:\n\n- **Enabled telemetry collection** at the account level to start capturing logs, metrics, and traces\n- **Know the difference** between System Views (historical data) and Telemetry data (event-driven observability)\n- **Utilize traces** to gain end-to-end insight of execution flows and identify performance bottlenecks\n- **Analyze logs** to debug issues and monitor application behavior\n- **Leverage Query History** to optimize query performance and troubleshoot database operations\n- **Monitor data loading** activities through Copy History for all ingestion methods\n- **Track automated operations** using Task History for pipeline monitoring\n- **Observe Dynamic Tables** refresh patterns and data freshness\n- **Explore AI observability** concepts for monitoring AI/ML workloads and Cortex AI functions\n- **Build a foundational understanding** of the tools available for observability across your Snowflake workloads\n\n### Possible Next Steps\n\nNow that you have explored the basics of Snowflake Trail, consider these possible next steps:\n\n- **Configure alerts and notifications** based on the telemetry data you're now collecting\n- **Integrate external observability tools** such as [Grafana, Observe for Snowflake, or Datadog](https://docs.snowflake.com/en/developer-guide/builders/observability#tools-for-analysis-and-visualization)\n- **Build custom dashboards** for your specific monitoring needs using the observability data\n- **Implement automated monitoring** workflows using Tasks and event-driven architectures\n- **Explore advanced observability patterns** for your specific workload types\n\n### Related Resources\n\n#### Core Documentation\n\n- [Event tables overview | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up)\n- [Logging, tracing, and metrics | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/logging-tracing-overview)\n- [Logging messages from functions and procedures | Snowflake Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/logging)\n- [AI Observability in Snowflake Cortex](https://docs.snowflake.com/en/user-guide/snowflake-cortex/ai-observability)\n\n#### Quickstart Guides\n\n- [Getting Started with AI Observability](/en/developers/guides/getting-started-with-ai-observability/)\n- [Getting Started with Event Tables and Alerts](/en/developers/guides/alert-on-events/)\n- [Getting Started with Snowflake Dynamic Tables](/en/developers/guides/getting-started-with-dynamic-tables/)\n- [Getting Started with Snowflake Task Graphs](/en/developers/guides/getting-started-with-task-graphs/)\n- [Getting Started with Snowpipe Streaming and Azure Event Hubs](/en/developers/guides/getting-started-with-snowpipe-streaming-azure-eventhubs/)\n- [Getting Started with Snowpipe](/en/developers/guides/getting-started-with-snowpipe/)\n- [Getting Started with Streams & Tasks](/en/developers/guides/getting-started-with-streams-and-tasks/)\n- [Getting Started with Traces](/en/developers/guides/getting-started-with-traces/)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"isDeveloperGuidesPage":false,"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-54c1b92ec6","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-734f6e4538",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-a26a0360d2","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-57f62ee35e","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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