[SPARK-51172][SS] Rename to spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan

### What changes were proposed in this pull request?

This PR is a followup of #48149 that proposes to rename `spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan` to `spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan`

### Why are the changes needed?

For consistent naming.

### Does this PR introduce _any_ user-facing change?

No, the main PR has not been released yet.

### How was this patch tested?

CI should test it out.

### Was this patch authored or co-authored using generative AI tooling?

No.

Closes #49897 from HyukjinKwon/SPARK-49699.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>

Author: HyukjinKwon

sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala

@@ -4110,7 +4110,7 @@ object SQLConf {
       .createWithDefault(ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH)
 
   val PRUNE_FILTERS_CAN_PRUNE_STREAMING_SUBPLAN =
-    buildConf("spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan")
+    buildConf("spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan")
       .internal()
       .doc("Allow PruneFilters to remove streaming subplans when we encounter a false filter. " +
         "This flag is to restore prior buggy behavior for broken pipelines.")

sql/core/src/test/resources/structured-streaming/checkpoint-version-4.0.0-tws-avro/offsets/0

@@ -1,3 +1,3 @@
 v1
-{"batchWatermarkMs":0,"batchTimestampMs":1734074255407,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"avro","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
-0
+{"batchWatermarkMs":0,"batchTimestampMs":1734074255407,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"avro","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
+0

sql/core/src/test/resources/structured-streaming/checkpoint-version-4.0.0-tws-avro/offsets/1

@@ -1,3 +1,3 @@
 v1
-{"batchWatermarkMs":0,"batchTimestampMs":1734074257473,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"avro","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
-1
+{"batchWatermarkMs":0,"batchTimestampMs":1734074257473,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"avro","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
+1

sql/core/src/test/resources/structured-streaming/checkpoint-version-4.0.0-tws-unsaferow/offsets/0

@@ -1,3 +1,3 @@
 v1
-{"batchWatermarkMs":0,"batchTimestampMs":1734074067729,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"unsaferow","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
-0
+{"batchWatermarkMs":0,"batchTimestampMs":1734074067729,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"unsaferow","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
+0

sql/core/src/test/resources/structured-streaming/checkpoint-version-4.0.0-tws-unsaferow/offsets/1

@@ -1,3 +1,3 @@
 v1
-{"batchWatermarkMs":0,"batchTimestampMs":1734074071551,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"unsaferow","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.databricks.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
-1
+{"batchWatermarkMs":0,"batchTimestampMs":1734074071551,"conf":{"spark.sql.streaming.stateStore.providerClass":"org.apache.spark.sql.execution.streaming.state.RocksDBStateStoreProvider","spark.sql.streaming.stateStore.rocksdb.formatVersion":"5","spark.sql.streaming.stateStore.encodingFormat":"unsaferow","spark.sql.streaming.statefulOperator.useStrictDistribution":"true","spark.sql.streaming.flatMapGroupsWithState.stateFormatVersion":"2","spark.sql.streaming.aggregation.stateFormatVersion":"2","spark.sql.shuffle.partitions":"5","spark.sql.streaming.join.stateFormatVersion":"2","spark.sql.streaming.stateStore.compression.codec":"lz4","spark.sql.streaming.multipleWatermarkPolicy":"min","spark.sql.optimizer.pruneFiltersCanPruneStreamingSubplan":"false"}}
+1