Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/9143#discussion_r43973902
--- Diff:
streaming/src/test/scala/org/apache/spark/streaming/util/WriteAheadLogSuite.scala
---
@@ -190,135 +362,197 @@ class WriteAheadLogSuite extends SparkFunSuite with
BeforeAndAfter {
}
reader.close()
}
+}
- test("FileBasedWriteAheadLog - write rotating logs") {
- // Write data with rotation using WriteAheadLog class
- val dataToWrite = generateRandomData()
- writeDataUsingWriteAheadLog(testDir, dataToWrite)
+abstract class CloseFileAfterWriteTests(allowBatching: Boolean, testTag:
String)
+ extends CommonWriteAheadLogTests(allowBatching, closeFileAfterWrite =
true, testTag) {
- // Read data manually to verify the written data
- val logFiles = getLogFilesInDirectory(testDir)
- assert(logFiles.size > 1)
- val writtenData = logFiles.flatMap { file => readDataManually(file)}
- assert(writtenData === dataToWrite)
- }
-
- test("FileBasedWriteAheadLog - close after write flag") {
+ import WriteAheadLogSuite._
+ test(testPrefix + "close after write flag") {
// Write data with rotation using WriteAheadLog class
val numFiles = 3
val dataToWrite = Seq.tabulate(numFiles)(_.toString)
// total advance time is less than 1000, therefore log shouldn't be
rolled, but manually closed
writeDataUsingWriteAheadLog(testDir, dataToWrite, closeLog = false,
clockAdvanceTime = 100,
- closeFileAfterWrite = true)
+ closeFileAfterWrite = true, allowBatching = allowBatching)
// Read data manually to verify the written data
val logFiles = getLogFilesInDirectory(testDir)
assert(logFiles.size === numFiles)
- val writtenData = logFiles.flatMap { file => readDataManually(file)}
+ val writtenData: Seq[String] =
readAndDeserializeDataManually(logFiles, allowBatching)
assert(writtenData === dataToWrite)
}
+}
- test("FileBasedWriteAheadLog - read rotating logs") {
- // Write data manually for testing reading through WriteAheadLog
- val writtenData = (1 to 10).map { i =>
- val data = generateRandomData()
- val file = testDir + s"/log-$i-$i"
- writeDataManually(data, file)
- data
- }.flatten
+class FileBasedWriteAheadLogWithFileCloseAfterWriteSuite
+ extends CloseFileAfterWriteTests(allowBatching = false,
"FileBasedWriteAheadLog")
- val logDirectoryPath = new Path(testDir)
- val fileSystem = HdfsUtils.getFileSystemForPath(logDirectoryPath,
hadoopConf)
- assert(fileSystem.exists(logDirectoryPath) === true)
+/** Tests for the aggregation, deaggregation related methods in the
BatchedWriteAheadLog object */
+class BatchedWriteAheadLogUtilsSuite extends SparkFunSuite {
+ import BatchedWriteAheadLog._
- // Read data using manager and verify
- val readData = readDataUsingWriteAheadLog(testDir)
- assert(readData === writtenData)
- }
+ test("serializing and deserializing batched records") {
+ val events = Seq(
+ BlockAdditionEvent(ReceivedBlockInfo(0, None, None, null)),
+ BatchAllocationEvent(null, null),
+ BatchCleanupEvent(Nil)
+ )
- test("FileBasedWriteAheadLog - recover past logs when creating new
manager") {
- // Write data with manager, recover with new manager and verify
- val dataToWrite = generateRandomData()
- writeDataUsingWriteAheadLog(testDir, dataToWrite)
- val logFiles = getLogFilesInDirectory(testDir)
- assert(logFiles.size > 1)
- val readData = readDataUsingWriteAheadLog(testDir)
- assert(dataToWrite === readData)
- }
+ val buffers = events.map(e =>
RecordBuffer(ByteBuffer.wrap(Utils.serialize(e)), 0L, null))
+ val batched = BatchedWriteAheadLog.aggregate(buffers)
+ val deaggregate = BatchedWriteAheadLog.deaggregate(batched).map(buffer
=>
+ Utils.deserialize[ReceivedBlockTrackerLogEvent](buffer.array()))
- test("FileBasedWriteAheadLog - clean old logs") {
- logCleanUpTest(waitForCompletion = false)
+ assert(deaggregate.toSeq === events)
}
+}
- test("FileBasedWriteAheadLog - clean old logs synchronously") {
- logCleanUpTest(waitForCompletion = true)
- }
+class BatchedWriteAheadLogSuite extends CommonWriteAheadLogTests(
+ allowBatching = true,
+ closeFileAfterWrite = false,
+ "BatchedWriteAheadLog") {
- private def logCleanUpTest(waitForCompletion: Boolean): Unit = {
- // Write data with manager, recover with new manager and verify
- val manualClock = new ManualClock
- val dataToWrite = generateRandomData()
- writeAheadLog = writeDataUsingWriteAheadLog(testDir, dataToWrite,
manualClock, closeLog = false)
- val logFiles = getLogFilesInDirectory(testDir)
- assert(logFiles.size > 1)
+ import BatchedWriteAheadLog._
- writeAheadLog.clean(manualClock.getTimeMillis() / 2, waitForCompletion)
+ // Class that will help us test batching.
+ private class MockBatchedWriteAheadLog(
--- End diff --
This is not the best design for tests. Usually when are testing X, one
doesnt mock X. Here since we are testing BatchedWriteAheadLog, testing a mock
of that class with override methods is very risky as it does not test the
actual code in the overridden method.
Rather if X needs Y to operate, then Y is mocked, and unmodified X is
tested with mocked Y. So in this case, its best to introduce a mocked WAL as
the parent/wrapped WAL. That will have the necessary hooks to allow or block
writes when needed
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