[GitHub] [spark] gaborgsomogyi 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

[GitBox <gi...@apache.org>]

gaborgsomogyi 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_r397858474
 
 

 ##########
 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:
   Don't we need some kind of assertion here?

----------------------------------------------------------------
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:
users@infra.apache.org


With regards,
Apache Git Services

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org