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https://issues.apache.org/jira/browse/HBASE-23887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Danil Lipovoy updated HBASE-23887:
----------------------------------
Description:
НГHi!
I first time here, correct me please if something wrong.
I want propose how to improve performance when data in HFiles much more than
BlockChache (usual story in BigData). The idea - caching only part of DATA
blocks. It is good becouse LruBlockCache starts to work and save huge amount of
GC. See the picture in attachment with test below. Requests per second is
higher, GC is lower.
The key point of the code:
Added the parameter: *hbase.lru.cache.data.block.percent* which by default = 100
But if we set it 0-99, then will work the next logic:
{code:java}
public void cacheBlock(BlockCacheKey cacheKey, Cacheable buf, boolean inMemory)
{
if (cacheDataBlockPercent != 100 && buf.getBlockType().isData())
if (cacheKey.getOffset() % 100 >= cacheDataBlockPercent)
return;
...
// the same code as usual
}
{code}
Descriptions of the test:
4 nodes E5-2698 v4 @ 2.20GHz, 700 Gb Mem.
4 RegionServers
4 tables by 64 regions by 1.88 Gb data in each = 600 Gb total (only FAST_DIFF)
Total BlockCache Size = 48 Gb (8 % of data in HFiles)
Random read in 20 threads
I am going to make Pull Request, hope it is right way to make some contribution
in this cool product.
was:
Hi!
I first time here, correct me please if something wrong.
I want propose how to improve performance when data in HFiles much more than
BlockChache (usual story in BigData). The idea - caching only part of DATA
blocks. It is good becouse LruBlockCache starts to work and save huge amount of
GC. See the picture in attachment with test below. Requests per second is
higher, GC is lower.
The key point of the code:
Added the parameter: *hbase.lru.cache.data.block.percent* which by default = 100
But if we set it 0-99, then will work the next logic:
{code:java}
public void cacheBlock(BlockCacheKey cacheKey, Cacheable buf, boolean inMemory)
{
if (cacheDataBlockPercent != 100 && buf.getBlockType().isData())
if (cacheKey.getOffset() % 100 >= cacheDataBlockPercent)
return;
...
// the same code as usual
}
{code}
Descriptions of the test:
4 nodes E5-2698 v4 @ 2.20GHz, 700 Gb Mem.
4 RegionServers
4 tables by 64 regions by 1.88 Gb data in each = 600 Gb total (only FAST_DIFF)
Total BlockCache Size = 48 Gb (8 % of data in HFiles)
Random read in 20 threads
I am going to make Pull Request, hope it is right way to make some contribution
in this cool product.
> BlockCache performance improve
> ------------------------------
>
> Key: HBASE-23887
> URL: https://issues.apache.org/jira/browse/HBASE-23887
> Project: HBase
> Issue Type: Improvement
> Components: BlockCache, Performance
> Reporter: Danil Lipovoy
> Priority: Minor
> Attachments: 1582787018434_rs_metrics.jpg,
> 1582801838065_rs_metrics_new.png, BC_LongRun.png, cmp.png,
> evict_BC100_vs_BC23.png, read_requests_100pBC_vs_23pBC.png
>
>
> НГHi!
> I first time here, correct me please if something wrong.
> I want propose how to improve performance when data in HFiles much more than
> BlockChache (usual story in BigData). The idea - caching only part of DATA
> blocks. It is good becouse LruBlockCache starts to work and save huge amount
> of GC. See the picture in attachment with test below. Requests per second is
> higher, GC is lower.
>
> The key point of the code:
> Added the parameter: *hbase.lru.cache.data.block.percent* which by default =
> 100
>
> But if we set it 0-99, then will work the next logic:
>
>
> {code:java}
> public void cacheBlock(BlockCacheKey cacheKey, Cacheable buf, boolean
> inMemory) {
> if (cacheDataBlockPercent != 100 && buf.getBlockType().isData())
> if (cacheKey.getOffset() % 100 >= cacheDataBlockPercent)
> return;
> ...
> // the same code as usual
> }
> {code}
>
>
> Descriptions of the test:
> 4 nodes E5-2698 v4 @ 2.20GHz, 700 Gb Mem.
> 4 RegionServers
> 4 tables by 64 regions by 1.88 Gb data in each = 600 Gb total (only FAST_DIFF)
> Total BlockCache Size = 48 Gb (8 % of data in HFiles)
> Random read in 20 threads
>
> I am going to make Pull Request, hope it is right way to make some
> contribution in this cool product.
>
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