spark-instrumented-optimizer/sql/core
Jungtaek Lim (HeartSaVioR) 2af2da5a4b [SPARK-30900][SS] FileStreamSource: Avoid reading compact metadata log twice if the query restarts from compact batch
### What changes were proposed in this pull request?

This patch addresses the case where compact metadata file is read twice in FileStreamSource during restarting query.

When restarting the query, there is a case which the query starts from compaction batch, and the batch has source metadata file to read. One case is that the previous query succeeded to read from inputs, but not finalized the batch for various reasons.

The patch finds the latest compaction batch when restoring from metadata log, and put entries for the batch into the file entry cache which would avoid reading compact batch file twice.

FileStreamSourceLog doesn't know about offset / commit metadata in checkpoint so doesn't know which exactly batch to start from, but in practice, only couple of latest batches are candidates to
be started from when restarting query. This patch leverages the fact to skip calculation if possible.

### Why are the changes needed?

Spark incurs unnecessary cost on reading the compact metadata file twice on some case, which may not be ignorable when the query has been processed huge number of files so far.

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

No.

### How was this patch tested?

New UT.

Closes #27649 from HeartSaVioR/SPARK-30900.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
Signed-off-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
2020-12-01 13:11:14 +09:00
..
benchmarks [SPARK-33523][SQL][TEST][FOLLOWUP] Fix benchmark case name in SubExprEliminationBenchmark 2020-11-25 15:22:47 -08:00
src [SPARK-30900][SS] FileStreamSource: Avoid reading compact metadata log twice if the query restarts from compact batch 2020-12-01 13:11:14 +09:00
pom.xml [SPARK-33107][BUILD][FOLLOW-UP] Remove com.twitter:parquet-hadoop-bundle:1.6.0 and orc.classifier 2020-10-11 21:54:56 -07:00