--- title: Retrieve system information for a query description: > Learn how to use the system.queries debug feature to retrieve system information for a query in InfluxDB Cloud Dedicated. weight: 401 menu: influxdb3_cloud_dedicated: name: Retrieve system information parent: Troubleshoot and optimize queries influxdb3/cloud-dedicated/tags: [query, observability] related: - /influxdb3/cloud-dedicated/query-data/sql/ - /influxdb3/cloud-dedicated/query-data/influxql/ - /influxdb3/cloud-dedicated/reference/client-libraries/v3/ --- Learn how to retrieve system information for a query in {{% product-name %}}. In addition to the SQL standard `information_schema`, {{% product-name %}} contains _system_ tables that provide access to InfluxDB-specific information. The information in each system table is scoped to the namespace you're querying; you can only retrieve system information for that particular instance. To get information about queries you've run on the current instance, use SQL to query the [`system.queries` table](/influxdb3/cloud-dedicated/reference/internals/system-tables/#systemqueries-measurement), which contains information from the Querier instance currently handling queries. The `system.queries` table is an InfluxDB 3 **debug feature**. To enable the feature and query `system.queries`, include an `"iox-debug"` header set to `"true"` and use SQL to query the table--for example: {{% code-placeholders "DATABASE_(NAME|TOKEN)|APP_REQUEST_ID" %}} ```python from influxdb_client_3 import InfluxDBClient3 import secrets import pandas def get_query_information(): print('# Get query information') client = InfluxDBClient3(token = f"DATABASE_TOKEN", host = f"{{< influxdb/host >}}", database = f"DATABASE_NAME") sql = "SELECT * FROM home WHERE time >= now() - INTERVAL '30 days'" try: client.query(sql) client.close() except Exception as e: print("Query error: ", e) client = InfluxDBClient3(token = f"DATABASE_TOKEN", host = f"{{< influxdb/host >}}", database = f"DATABASE_NAME") import time df = pandas.DataFrame() for i in range(0, 5): time.sleep(1) # Use SQL # To retrieve data about your query from the system.queries table, pass the following: # - the iox-debug: true request header # - an SQL query for system.queries reader = client.query(f'''SELECT compute_duration, query_type, query_text, success FROM system.queries WHERE issue_time >= now() - INTERVAL '1 day' ORDER BY issue_time DESC ''', headers=[(b"iox-debug", b"true")], mode="reader") df = reader.read_all().to_pandas() if df.shape[0]: break # Adjust pandas display options to avoid truncating the output # Filter the DataFrame to get rows where the column contains the query text filtered_df = df[df['query_text'] == sql] assert filtered_df.shape[0] > 0, "filtered_df should have at least 1 row" # Specify system.queries columns to output columns_to_output = ['compute_duration', 'query_text'] # Print row values for the specified columns print(filtered_df[columns_to_output]) get_query_information() ``` {{% /code-placeholders %}} The output is similar to the following: ``` # Get query information compute_duration query_text 3 0 days SELECT * FROM home WHERE time >= now() - INTER... 4 0 days SELECT * FROM home WHERE time >= now() - INTER... ```