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databricks.fluent.models com.azure.resourcemanager.databricks.models com.azure.resourcemanager.datadog com.azure.resourcemanager.datadog.fluent com.azure.resourcemanager.datadog.fluent.models com.azure.resourcemanager.datadog.models com.azure.resourcemanager.delegatednetwork com.azure.resourcemanager.delegatednetwork....
and one of the source queries is taken around 5 minutes to complete. I'm trying to see how to improve performance and I suggested to start with the top 5 queries by duration. One idea, and that is why pivot is used, is to reduce the number of rows to be loaded in Databricks. ...
See the three examples in this file: attribute_transformer full_restapi_key_transformer last_restapi_key_transformer If you want XML serialization, you can pass the kwargs is_xml=True. Python Copy as_dict(keep_readonly=True, key_transformer=<function attr...
databricks.fluent.models com.azure.resourcemanager.databricks.models com.azure.resourcemanager.datadog com.azure.resourcemanager.datadog.fluent com.azure.resourcemanager.datadog.fluent.models com.azure.resourcemanager.datadog.models com.azure.resourcemanager.delegatednetwork com.azure.resourcemanager.delegatednetwork....
databricks.fluent.models com.azure.resourcemanager.databricks.models com.azure.resourcemanager.datadog com.azure.resourcemanager.datadog.fluent com.azure.resourcemanager.datadog.fluent.models com.azure.resourcemanager.datadog.models com.azure.resourcemanager.delegatednetwork com.azure.resourcemanager.delegatednetwork....
databricks.models com.azure.resourcemanager.datadog com.azure.resourcemanager.datadog.fluent com.azure.resourcemanager.datadog.fluent.models com.azure.resourcemanager.datadog.models com.azure.resourcemanager.delegatednetwork com.azure.resourcemanager.delegatednetwork.fluent com.azure.resourcemanager.delegatednetwork....