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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-14468) Compaction improvements: FIFO compaction policy
Date Tue, 29 Sep 2015 21:38:04 GMT

    [ https://issues.apache.org/jira/browse/HBASE-14468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14935917#comment-14935917
] 

Hadoop QA commented on HBASE-14468:
-----------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest attachment 
  http://issues.apache.org/jira/secure/attachment/12764291/HBASE-14468-v3.patch
  against master branch at commit 37877e3f56b038c0821138862813e567390a9ff4.
  ATTACHMENT ID: 12764291

    {color:green}+1 @author{color}.  The patch does not contain any @author tags.

    {color:green}+1 tests included{color}.  The patch appears to include 9 new or modified
tests.

    {color:green}+1 hadoop versions{color}. The patch compiles with all supported hadoop versions
(2.4.0 2.4.1 2.5.0 2.5.1 2.5.2 2.6.0 2.6.1 2.7.0 2.7.1)

    {color:green}+1 javac{color}.  The applied patch does not increase the total number of
javac compiler warnings.

    {color:green}+1 protoc{color}.  The applied patch does not increase the total number of
protoc compiler warnings.

    {color:green}+1 javadoc{color}.  The javadoc tool did not generate any warning messages.

    {color:green}+1 checkstyle{color}.  The applied patch does not increase the total number
of checkstyle errors

    {color:green}+1 findbugs{color}.  The patch does not introduce any  new Findbugs (version
2.0.3) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase the total number
of release audit warnings.

    {color:green}+1 lineLengths{color}.  The patch does not introduce lines longer than 100

  {color:green}+1 site{color}.  The mvn post-site goal succeeds with this patch.

     {color:red}-1 core tests{color}.  The patch failed these unit tests:
                       org.apache.hadoop.hbase.master.procedure.TestWALProcedureStoreOnHDFS

     {color:red}-1 core zombie tests{color}.  There are 1 zombie test(s): 	at org.apache.hadoop.hbase.util.TestCoprocessorScanPolicy.testTTL(TestCoprocessorScanPolicy.java:157)

Test results: https://builds.apache.org/job/PreCommit-HBASE-Build/15810//testReport/
Release Findbugs (version 2.0.3) 	warnings: https://builds.apache.org/job/PreCommit-HBASE-Build/15810//artifact/patchprocess/newFindbugsWarnings.html
Checkstyle Errors: https://builds.apache.org/job/PreCommit-HBASE-Build/15810//artifact/patchprocess/checkstyle-aggregate.html

  Console output: https://builds.apache.org/job/PreCommit-HBASE-Build/15810//console

This message is automatically generated.

> Compaction improvements: FIFO compaction policy
> -----------------------------------------------
>
>                 Key: HBASE-14468
>                 URL: https://issues.apache.org/jira/browse/HBASE-14468
>             Project: HBase
>          Issue Type: Improvement
>            Reporter: Vladimir Rodionov
>            Assignee: Vladimir Rodionov
>             Fix For: 2.0.0
>
>         Attachments: HBASE-14468-v1.patch, HBASE-14468-v2.patch, HBASE-14468-v3.patch
>
>
> h2. FIFO Compaction
> h3. Introduction
> FIFO compaction policy selects only files which have all cells expired. The column family
MUST have non-default TTL. 
> Essentially, FIFO compactor does only one job: collects expired store files. I see many
applications for this policy:
> # use it for very high volume raw data which has low TTL and which is the source of another
data (after additional processing). Example: Raw time-series vs. time-based rollup aggregates
and compacted time-series. We collect raw time-series and store them into CF with FIFO compaction
policy, periodically we run  task which creates rollup aggregates and compacts time-series,
the original raw data can be discarded after that.
> # use it for data which can be kept entirely in a a block cache (RAM/SSD). Say we have
local SSD (1TB) which we can use as a block cache. No need for compaction of a raw data at
all.
> Because we do not do any real compaction, we do not use CPU and IO (disk and network),
we do not evict hot data from a block cache. The result: improved throughput and latency both
write and read.
> See: https://github.com/facebook/rocksdb/wiki/FIFO-compaction-style
> h3. To enable FIFO compaction policy
> For table:
> {code}
> HTableDescriptor desc = new HTableDescriptor(tableName);
>     desc.setConfiguration(DefaultStoreEngine.DEFAULT_COMPACTION_POLICY_CLASS_KEY, 
>       FIFOCompactionPolicy.class.getName());
> {code} 
> For CF:
> {code}
> HColumnDescriptor desc = new HColumnDescriptor(family);
>     desc.setConfiguration(DefaultStoreEngine.DEFAULT_COMPACTION_POLICY_CLASS_KEY, 
>       FIFOCompactionPolicy.class.getName());
> {code}
> h3. Limitations
> Do not use FIFO compaction if :
> * Table/CF has MIN_VERSION > 0
> * Table/CF has TTL = FOREVER (HColumnDescriptor.DEFAULT_TTL)
> * Table/CF is MOB 



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