get_sql_api_query_status_async("uuid") assert response == expected_response @pytest.mark.parametrize("hook_params", [(HOOK_PARAMS), ({})]) def test_hook_parameter_propagation(self, hook_params): """ This tests
option("query", query) .option("autopushdown", "off") .load() Note that you can also set the autopushdown option in a Map that you pass to the options method (e.g. in sfOptions in the example above). To enable pushdown again after disabling it, call the SnowflakeConnectorUtils....
CORTEX_FUNCTIONS_QUERY_USAGE_HISTORY; You can also use the same view to see the credit and token consumption for a specific query. SELECT * FROM SNOWFLAKE.ACCOUNT_USAGE.CORTEX_FUNCTIONS_QUERY_USAGE_HISTORY WHERE query_id='<query-id>'; Note You can’t get granular usage information for ...
typeThe type property of the Copy activity source must be set toSnowflakeV2Source.Yes querySpecifies the SQL query to read data from Snowflake. If the names of the schema, table and columns contain lower case, quote the object identifier in query e.g.select * from "schema"."myTable". ...
The endpoint should be similar to https://login.microsoftonline.com/<tenant-id>/oauth2/v2.0/token. For the OpenID Connect metadata, open in a new browser window. Locate the jwks_uri parameter and copy its value. This parameter value will be known as the <AZURE_AD_JWS_KEY_ENDPOINT> ...
query_tag Query tagsare a Snowflake parameter that can be quite useful later on when searching in theQUERY_HISTORY view. reuse_connections During node execution (such as model and test), dbt opens connections against a Snowflake warehouse. Setting this configuration toTruereduces execution...
Other parameters, such astimezone, can also be specified as a URI parameter or inconnect_argsparameters. For example: fromsqlalchemyimportcreate_engineengine=create_engine('snowflake://testuser1:0123456@abc123/testdb/public?warehouse=testwh&role=myrole',connect_args={'timezone':'America/Los_An...
Above Snowflake with Spark example demonstrates reading the entire table from the Snowflake table usingdbtableoption and creating a Spark DataFrame, below example uses aqueryoption to execute a group by aggregate SQL query. val df1: DataFrame = spark.read ...
All queries issued by users pass through the Cloud Services layer. Here, all the early stages of the query life cycle are handled: parsing, object resolution, access control, and plan optimization. 整个系统的请求都是在这一层接受,执行的 Life Cycle 也在这一层进行控制:接入,语句解析、优化以及执...
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False). If you want XML serialization, you can pass the kwargs is_xml=True.as_dict Return a dict that can be serialized using json.dump. Advanced usage might optionally use a callback as parameter: Key i...