[SPARK-32855][SQL][FOLLOWUP] Fix code format in SQLConf and comment in PartitionPruning
### What changes were proposed in this pull request? Fix code format in `SQLConf` and comment in `PartitionPruning`. ### Why are the changes needed? Make code more readable. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? N/A Closes #31969 from wangyum/SPARK-32855-2. Authored-by: Yuming Wang <yumwang@ebay.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
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@ -287,8 +287,8 @@ object SQLConf {
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.booleanConf
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.createWithDefault(true)
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val DYNAMIC_PARTITION_PRUNING_FALLBACK_FILTER_RATIO = buildConf(
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"spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio")
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val DYNAMIC_PARTITION_PRUNING_FALLBACK_FILTER_RATIO =
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buildConf("spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio")
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.internal()
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.doc("When statistics are not available or configured not to be used, this config will be " +
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"used as the fallback filter ratio for computing the data size of the partitioned table " +
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@ -307,7 +307,7 @@ object SQLConf {
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.booleanConf
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.createWithDefault(true)
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val DYNAMIC_PARTITON_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO =
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val DYNAMIC_PARTITION_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO =
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buildConf("spark.sql.optimizer.dynamicPartitionPruning.pruningSideExtraFilterRatio")
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.internal()
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.doc("When filtering side doesn't support broadcast by join type, and doing DPP means " +
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@ -316,6 +316,7 @@ object SQLConf {
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"in order to evaluate if it is worth adding an extra subquery as the pruning filter.")
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.version("3.2.0")
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.doubleConf
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.checkValue(ratio => ratio > 0.0 && ratio <= 1.0, "The ratio value must be in (0.0, 1.0].")
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.createWithDefault(0.04)
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val COMPRESS_CACHED = buildConf("spark.sql.inMemoryColumnarStorage.compressed")
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@ -3261,7 +3262,7 @@ class SQLConf extends Serializable with Logging {
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getConf(DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY)
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def dynamicPartitionPruningPruningSideExtraFilterRatio: Double =
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getConf(DYNAMIC_PARTITON_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO)
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getConf(DYNAMIC_PARTITION_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO)
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def stateStoreProviderClass: String = getConf(STATE_STORE_PROVIDER_CLASS)
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@ -108,11 +108,12 @@ object PartitionPruning extends Rule[LogicalPlan] with PredicateHelper with Join
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}
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/**
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* Given an estimated filtering ratio we assume the partition pruning has benefit if
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* Given an estimated filtering ratio(and extra filter ratio if filtering side can't
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* build broadcast by join type) we assume the partition pruning has benefit if
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* the size in bytes of the partitioned plan after filtering is greater than the size
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* in bytes of the plan on the other side of the join. We estimate the filtering ratio
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* using column statistics if they are available, otherwise we use the config value of
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* `spark.sql.optimizer.joinFilterRatio`.
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* `spark.sql.optimizer.dynamicPartitionPruning.fallbackFilterRatio`.
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*/
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private def pruningHasBenefit(
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partExpr: Expression,
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@ -414,7 +414,7 @@ abstract class DynamicPartitionPruningSuiteBase
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DisableAdaptiveExecution("DPP in AQE must reuse broadcast")) {
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withSQLConf(
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SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
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SQLConf.DYNAMIC_PARTITON_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO.key -> "1") {
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SQLConf.DYNAMIC_PARTITION_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO.key -> "1") {
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Given("dynamic partition pruning disabled")
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withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "false") {
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val df = sql(
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@ -1436,7 +1436,7 @@ abstract class DynamicPartitionPruningSuiteBase
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withSQLConf(
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SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
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SQLConf.DYNAMIC_PARTITION_PRUNING_USE_STATS.key -> "false",
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SQLConf.DYNAMIC_PARTITON_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO.key -> "1") {
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SQLConf.DYNAMIC_PARTITION_PRUNING_PRUNING_SIDE_EXTRA_FILTER_RATIO.key -> "1") {
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val sqlStr =
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"""
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