Ngone51 commented on a change in pull request #31643:
URL: https://github.com/apache/spark/pull/31643#discussion_r585353311
##########
File path:
common/network-shuffle/src/main/java/org/apache/spark/network/shuffle/OneForOneBlockFetcher.java
##########
@@ -138,9 +138,24 @@ private FetchShuffleBlocks createFetchShuffleBlocksMsg(
}
long[] mapIds = Longs.toArray(mapIdToReduceIds.keySet());
int[][] reduceIdArr = new int[mapIds.length][];
+ int blockIdIndex = 0;
for (int i = 0; i < mapIds.length; i++) {
reduceIdArr[i] = Ints.toArray(mapIdToReduceIds.get(mapIds[i]));
+ // The `blockIds`'s order must be same with the read order specified in
in FetchShuffleBlocks
+ // because the shuffle data's return order should match the `blockIds`'s
order to ensure
+ // blockId and data match.
+ if (!batchFetchEnabled) {
+ for (int j = 0; j < reduceIdArr[i].length; j++) {
+ this.blockIds[blockIdIndex++] = "shuffle_" + shuffleId + "_" +
mapIds[i] + "_"
+ + reduceIdArr[i][j];
Review comment:
Then, how about we carry the raw `blockId` with the splited block parts?
For example, using a String array and always put the raw `blockId` at index 0
to be compatible between batchfetch and non-batchfetch.
I think using one map instead of two would simplify the codes and be easier
to maintain.
BTW, I saw your latest updates, and I dont' think the `LinkedHashMap` helps
anything in the current way(option1), while it does help in option2.
----------------------------------------------------------------
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:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
