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### What changes were proposed in this pull request? Remove SQL configuration spark.sql.legacy.allowCastNumericToTimestamp ### Why are the changes needed? In the current master branch, there is a new configuration `spark.sql.legacy.allowCastNumericToTimestamp` which controls whether to cast Numeric types to Timestamp or not. The default value is true. After https://github.com/apache/spark/pull/30260, the type conversion between Timestamp type and Numeric type is disallowed in ANSI mode. So, we don't need to a separate configuration `spark.sql.legacy.allowCastNumericToTimestamp` for disallowing the conversion. Users just need to set `spark.sql.ansi.enabled` for the behavior. As the configuration is not in any released yet, we should remove the configuration to make things simpler. ### Does this PR introduce _any_ user-facing change? No, since the configuration is not released yet. ### How was this patch tested? Existing test cases Closes #30493 from gengliangwang/LEGACY_ALLOW_CAST_NUMERIC_TO_TIMESTAMP. Authored-by: Gengliang Wang <gengliang.wang@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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| compatibility/src/test/scala/org/apache/spark/sql/hive/execution | ||
| src | ||
| pom.xml | ||