sodonnel opened a new pull request #2838:
URL: https://github.com/apache/hadoop/pull/2838
When the datanode block layout is upgrade from -56 (256x256) to -57 (32x32),
we have found the datanode uses a lot more memory than usual.
For each volume, the blocks are scanned and a list is created holding a
series of LinkArgs objects. This object contains a File object for the block
source and destination. The file object stores the path as a string, eg:
/data01/dfs/dn/current/BP-586623041-127.0.0.1-1617017575175/current/finalized/subdir0/subdir0/blk_1073741825_1001.meta
/data01/dfs/dn/current/BP-586623041-127.0.0.1-1617017575175/current/finalized/subdir0/subdir0/blk_1073741825
This is string is repeated for every block and meta file on the DN, and much
of the string is the same each time, leading to a large amount of memory.
If we change the linkArgs to store:
* Src Path without the block, eg
/data01/dfs/dn/previous.tmp/BP-586623041-127.0.0.1-1617017575175/current/finalized/subdir0/subdir0
* Dest Path without the block eg
/data01/dfs/dn/current/BP-586623041-127.0.0.1-1617017575175/current/finalized/subdir0/subdir10
* Block / Meta file name, eg blk_12345678_1001 or blk_12345678_1001.meta
Then ensure were reuse the same file object for repeated src and dest paths,
we can save most of the memory without reworking the logic of the code.
The current logic works along the source paths recursively, so you can
easily re-use the src path object.
For the destination path, there are only 32x32 (1024) distinct paths, so we
can simply cache them in a hashMap and lookup the re-useable object each time.
I tested locally by generating 100k block files and attempting the layout
upgrade. A heap dump showed the 100k blocks using about 140MB of heap. That is
close to 1.5GB per 1M blocks.
After the change outlined above the same 100K blocks used about 20MB of
heap, so 200MB per million blocks.
A general DN sizing recommendation is 1GB of heap per 1M blocks, so the
upgrade should be able to happen within the pre-upgrade heap.
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