Closed vijaypavann-db closed 2 months ago
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Snowflake documentation doesn't describe any user-configurable partitioning or clustering for Information Schema views. These views appear to be system-managed and optimized by Snowflake internally.
Partitioning https://docs.snowflake.com/en/sql-reference/info-schema#considerations-for-replacing-show-commands-with-information-schema-views "The Information Schema views are optimized for queries that retrieve a small subset of objects from the dictionary. Whenever possible, maximize the performance of your queries by filtering on schema and object names."
Data https://docs.snowflake.com/en/sql-reference/identifiers-syntax#double-quoted-identifiers
In our codebase, we're trying to convert the Schema to uppercase which may not work for the cases like above.
SnowflakeDataSource._SCHEMA_QUERY.format(catalog=catalog, schema=schema.upper(), table=table)
Schema converted to Upper Case:
The same is applicable for Table Identifier as well:
Lower Table doesn't work:
Added logger statements in Metadata (Schema) fetch functions.
Schema Query
,start time
andend time
.