Ngone51 commented on a change in pull request #31495:
URL: https://github.com/apache/spark/pull/31495#discussion_r571772659
##########
File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/OffsetSeqLog.scala
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@@ -46,6 +47,23 @@ import org.apache.spark.sql.connector.read.streaming.{Offset
=> OffsetV2}
class OffsetSeqLog(sparkSession: SparkSession, path: String)
extends HDFSMetadataLog[OffsetSeq](sparkSession, path) {
+ private val cachedMetadata = new ju.TreeMap[Long, OffsetSeq]()
+
+ override def add(batchId: Long, metadata: OffsetSeq): Boolean = {
+ val added = super.add(batchId, metadata)
+ if (added) {
+ // cache metadata as it will be read again
+ cachedMetadata.put(batchId, metadata)
+ // we don't access metadata for (batchId - 2) batches; evict them
Review comment:
> e.g. In file stream source we delete source files based on the commit.
I don't understand why this could bring a correctness issue (I'm still very
new to streaming so I may miss some use cases). The only problem I can imagine
now is `get(batchId)` may lead to the correctness issue as `batchId` like 2 or
4 results in the same index. But this can also be addressed by saving the
`batchId` at the same time, e.g., `Array[(batchId, OffsetSeq)]`, which I think
also addresses your concern for batchId coupling.
BTW, I did a minor performance test between these two ways, and seems it
does have a performance impact:
```scala
// ~270ms
timeTakeMs {
treeMap.put(1, "1")
treeMap.put(2, "3")
treeMap.put(3, "3")
treeMap.headMap(2, true).clear()
}
// ~0ms
timeTakeMs {
array(0) = "0"
array(1) = "1"
array(0) = "2"
}
```
Thoughts?
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