HeartSaVioR commented on a change in pull request #27649: [SPARK-30900][SS]
FileStreamSource: Avoid reading compact metadata log twice if the query
restarts from compact batch
URL: https://github.com/apache/spark/pull/27649#discussion_r398358987
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSourceSuite.scala
##########
@@ -1371,6 +1371,60 @@ class FileStreamSourceSuite extends
FileStreamSourceTest {
}
}
+ test("restore from file stream source log") {
+ def createEntries(batchId: Long, count: Int): Array[FileEntry] = {
+ (1 to count).map { idx =>
+ FileEntry(s"path_${batchId}_$idx", 10000 * batchId + count, batchId)
+ }.toArray
+ }
+
+ withSQLConf(SQLConf.FILE_SOURCE_LOG_COMPACT_INTERVAL.key -> "5") {
+ withTempDir { chk =>
+ val _fileEntryCache = PrivateMethod[java.util.LinkedHashMap[Long,
Array[FileEntry]]](
+ Symbol("fileEntryCache"))
+
+ val metadata = new FileStreamSourceLog(FileStreamSourceLog.VERSION,
spark,
+ chk.getCanonicalPath)
+ val fileEntryCache = metadata invokePrivate _fileEntryCache()
+
+ (0 to 4).foreach { batchId =>
+ metadata.add(batchId, createEntries(batchId, 100))
+ }
+ val allFiles = metadata.allFiles()
+
+ // batch 4 is a compact batch which logs would be cached in
fileEntryCache
+ fileEntryCache.containsKey(4)
Review comment:
lol I have no idea why I missed assert here. Nice finding. Will add.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
