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[SPARK-55748][SQL] Use DSv2 for avro|csv|json|kafka|orc|parquet|text by default #54547

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[SPARK-55748][SQL] Use DSv2 for avro|csv|json|kafka|orc|parquet|text by default #54547

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1 change: 1 addition & 0 deletions docs/sql-migration-guide.md
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Expand Up @@ -26,6 +26,7 @@ license: |

- Since Spark 4.2, Spark enables order-independent checksums for shuffle outputs by default to detect data inconsistencies during indeterminate shuffle stage retries. If a checksum mismatch is detected, Spark rolls back and re-executes all succeeding stages that depend on the shuffle output. If rolling back is not possible for some succeeding stages, the job will fail. To restore the previous behavior, set `spark.sql.shuffle.orderIndependentChecksum.enabled` and `spark.sql.shuffle.orderIndependentChecksum.enableFullRetryOnMismatch` to `false`.
- Since Spark 4.2, support for Derby JDBC datasource is deprecated.
- Since Spark 4.2, Spark uses `DataSourceV2` implementations of `avro`, `csv`, `json`, `kafka`, `orc`, `parquet`, and `text` data sources by default. To restore the previous behavior, set `spark.sql.sources.useV1SourceList=avro,csv,json,kafka,orc,parquet,text`.

## Upgrading from Spark SQL 4.0 to 4.1

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2 changes: 1 addition & 1 deletion sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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Expand Up @@ -4650,7 +4650,7 @@ object SQLConf {
"sources will fallback to Data Source V1 code path.")
.version("3.0.0")
.stringConf
.createWithDefault("avro,csv,json,kafka,orc,parquet,text")
.createWithDefault("")

val ALLOW_EMPTY_SCHEMAS_FOR_WRITES = buildConf("spark.sql.legacy.allowEmptySchemaWrite")
.internal()
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