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_r398540695
##########
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
+ assert(fileEntryCache.containsKey(4L))
Review comment:
I think it would be good to test that only 4 added:
```
(0 to 3).foreach { batchId =>
assert(!fileEntryCache.containsKey(batchId))
}
```
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