wangzhun created SPARK-36680:
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Summary: Supports Dynamic Table Options for Spark SQL
Key: SPARK-36680
URL: https://issues.apache.org/jira/browse/SPARK-36680
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 3.1.2
Reporter: wangzhun
Now a DataFrame API user can implement dynamic options through the
_DataFrameReader$option_ method, but Spark SQL users cannot use.
{code:java}
DataFrameReader/AstBuilder -> UnresolvedRelation$options ->
DataSourceV2Relation$options -> SupportsRead$newScanBuilder(options)
{code}
The table options were persisted to the Catalog and if we want to modify that,
we should use another DDL like "_ALTER TABLE ..._". But there are some cases
that user want to modify the table options dynamically just in the query: *
JDBCTable set _fetchsize_ according to the actual situation of the table
*
IcebergTable support time travel
{code:java}
spark.read
.option("snapshot-id", 10963874102873L)
.format("iceberg")
.load("path/to/table"){code}
These parameters setting is very common and ad-hoc, setting them flexibly would
promote the user experience with Spark SQL especially for Now we support
catalog expansion.
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