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feat: Add logging to explain reasons for Comet not being able to run a query stage natively #397

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merged 15 commits into from
May 14, 2024
8 changes: 8 additions & 0 deletions common/src/main/scala/org/apache/comet/CometConf.scala
Original file line number Diff line number Diff line change
Expand Up @@ -276,6 +276,14 @@ object CometConf {
.booleanConf
.createWithDefault(false)

val COMET_EXPLAIN_FALLBACK_ENABLED: ConfigEntry[Boolean] =
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Do we really need to make this configurable?

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I think a config should be good. Sometimes it might be verbose.

conf("spark.comet.explainFallback.enabled")
.doc(
"When this setting is enabled, Comet will provide logging explaining the reason(s) " +
"why a query stage cannot be executed natively.")
.booleanConf
.createWithDefault(false)

val COMET_BATCH_SIZE: ConfigEntry[Int] = conf("spark.comet.batchSize")
.doc("The columnar batch size, i.e., the maximum number of rows that a batch can contain.")
.intConf
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1 change: 1 addition & 0 deletions docs/source/user-guide/configs.md
Original file line number Diff line number Diff line change
Expand Up @@ -41,6 +41,7 @@ Comet provides the following configuration settings.
| spark.comet.exec.memoryFraction | The fraction of memory from Comet memory overhead that the native memory manager can use for execution. The purpose of this config is to set aside memory for untracked data structures, as well as imprecise size estimation during memory acquisition. Default value is 0.7. | 0.7 |
| spark.comet.exec.shuffle.codec | The codec of Comet native shuffle used to compress shuffle data. Only zstd is supported. | zstd |
| spark.comet.exec.shuffle.enabled | Whether to enable Comet native shuffle. By default, this config is false. Note that this requires setting 'spark.shuffle.manager' to 'org.apache.spark.sql.comet.execution.shuffle.CometShuffleManager'. 'spark.shuffle.manager' must be set before starting the Spark application and cannot be changed during the application. | false |
| spark.comet.explainFallback.enabled | When this setting is enabled, Comet will provide logging explaining the reason(s) why a query stage cannot be executed natively. | false |
| spark.comet.memory.overhead.factor | Fraction of executor memory to be allocated as additional non-heap memory per executor process for Comet. Default value is 0.2. | 0.2 |
| spark.comet.memory.overhead.min | Minimum amount of additional memory to be allocated per executor process for Comet, in MiB. | 402653184b |
| spark.comet.nativeLoadRequired | Whether to require Comet native library to load successfully when Comet is enabled. If not, Comet will silently fallback to Spark when it fails to load the native lib. Otherwise, an error will be thrown and the Spark job will be aborted. | false |
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14 changes: 13 additions & 1 deletion docs/source/user-guide/installation.md
Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,8 @@ $SPARK_HOME/bin/spark-shell \
--conf spark.sql.extensions=org.apache.comet.CometSparkSessionExtensions \
--conf spark.comet.enabled=true \
--conf spark.comet.exec.enabled=true \
--conf spark.comet.exec.all.enabled=true
--conf spark.comet.exec.all.enabled=true \
--conf spark.comet.explainFallback.enabled=true
```

### Verify Comet enabled for Spark SQL query
Expand Down Expand Up @@ -95,6 +96,17 @@ INFO src/lib.rs: Comet native library initialized
PushedFilters: [IsNotNull(a), GreaterThan(a,5)], ReadSchema: struct<a:int>
```

With the configuration `spark.comet.explainFallback.enabled=true`, Comet will log any reasons that prevent a plan from
being executed natively.

```scala
scala> Seq(1,2,3,4).toDF("a").write.parquet("/tmp/test.parquet")
WARN CometSparkSessionExtensions$CometExecRule: Comet cannot execute some parts of this plan natively because:
- LocalTableScan is not supported
- WriteFiles is not supported
- Execute InsertIntoHadoopFsRelationCommand is not supported
```

### Enable Comet shuffle

Comet shuffle feature is disabled by default. To enable it, please add related configs:
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Original file line number Diff line number Diff line change
Expand Up @@ -734,6 +734,23 @@ class CometSparkSessionExtensions
} else {
var newPlan = transform(plan)

// if the plan cannot be run fully natively then explain why (when appropriate
// config is enabled)
if (CometConf.COMET_EXPLAIN_FALLBACK_ENABLED.get()) {
new ExtendedExplainInfo().extensionInfo(newPlan) match {
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Unrelated, but I feel ExtendedExplainInfo can be object

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Yes, I had the same thought

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It is possible that it has to be a class due to the way this integrates into Spark, but I am not sure.

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Just seeing this. I don't think Spark prevents us from this being an object. I'll take care of this. #452

case reasons if reasons.size == 1 =>
logWarning(
"Comet cannot execute some parts of this plan natively " +
s"because ${reasons.head}")
case reasons if reasons.size > 1 =>
logWarning(
"Comet cannot execute some parts of this plan natively" +
s" because:\n\t- ${reasons.mkString("\n\t- ")}")
case _ =>
// no reasons recorded
}
}

// Remove placeholders
newPlan = newPlan.transform {
case CometSinkPlaceHolder(_, _, s) => s
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,7 @@ class ExtendedExplainInfo extends ExtendedExplainGenerator {
}
}

private def extensionInfo(node: TreeNode[_]): Set[String] = {
def extensionInfo(node: TreeNode[_]): Set[String] = {
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Perhaps private[comet] instead of public?

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Thanks. I made that change.

var info = mutable.Seq[String]()
val sorted = sortup(node)
sorted.foreach { p =>
Expand Down
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