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From e...@apache.org
Subject hbase git commit: HBASE-15337 Document Date Tiered Compaction in the book
Date Tue, 03 May 2016 22:05:31 GMT
Repository: hbase
Updated Branches:
  refs/heads/master f76ffb7f3 -> 66213c9f2

HBASE-15337 Document Date Tiered Compaction in the book

Signed-off-by: Enis Soztutar <enis@apache.org>

Project: http://git-wip-us.apache.org/repos/asf/hbase/repo
Commit: http://git-wip-us.apache.org/repos/asf/hbase/commit/66213c9f
Tree: http://git-wip-us.apache.org/repos/asf/hbase/tree/66213c9f
Diff: http://git-wip-us.apache.org/repos/asf/hbase/diff/66213c9f

Branch: refs/heads/master
Commit: 66213c9f28643cfc2ec53d3f683c65a7598b8ace
Parents: f76ffb7
Author: Clara <claraxiong@flurry.com>
Authored: Thu Apr 28 23:31:25 2016 -0700
Committer: Enis Soztutar <enis@apache.org>
Committed: Tue May 3 15:05:00 2016 -0700

 src/main/asciidoc/_chapters/architecture.adoc | 101 +++++++++++++++++++++
 1 file changed, 101 insertions(+)

diff --git a/src/main/asciidoc/_chapters/architecture.adoc b/src/main/asciidoc/_chapters/architecture.adoc
index 7cc20e5..faa1230 100644
--- a/src/main/asciidoc/_chapters/architecture.adoc
+++ b/src/main/asciidoc/_chapters/architecture.adoc
@@ -2060,6 +2060,107 @@ Why?
 NOTE: This information is now included in the configuration parameter table in <<compaction.parameters>>.
+===== Date Tiered Compaction
+Date tiered compaction is a date-aware store file compaction strategy that is beneficial
for time-range scans for time-series data.
+===== When To Use Date Tiered Compactions
+Consider using Date Tiered Compaction for reads for limited time ranges, especially scans
of recent data
+Don't use it for
+* random gets without a limited time range
+* frequent deletes and updates
+* Frequent out of order data writes creating long tails, especially writes with future timestamps
+* frequent bulk loads with heavily overlapping time ranges
+.Performance Improvements
+Performance testing has shown that the performance of time-range scans improve greatly for
limited time ranges, especially scans of recent data.
+====== Enabling Date Tiered Compaction
+You can enable Date Tiered compaction for a table or a column family, by setting its `hbase.hstore.engine.class`
to `org.apache.hadoop.hbase.regionserver.DateTieredStoreEngine`.
+You also need to set `hbase.hstore.blockingStoreFiles` to a high number, such as 60, if using
all default settings, rather than the default value of 12). Use 1.5~2 x projected file count
if changing the parameters, Projected file count = windows per tier x tier count + incoming
window min + files older than max age
+You also need to set `hbase.hstore.compaction.max` to the same value as `hbase.hstore.blockingStoreFiles`
to unblock major compaction.
+.Procedure: Enable Date Tiered Compaction
+. Run one of following commands in the HBase shell.
+  Replace the table name `orders_table` with the name of your table.
+alter 'orders_table', CONFIGURATION => {'hbase.hstore.engine.class' => 'org.apache.hadoop.hbase.regionserver.DateTieredStoreEngine',
'hbase.hstore.blockingStoreFiles' => '60', 'hbase.hstore.compaction.min'=>'2', 'hbase.hstore.compaction.max'=>'60'}
+alter 'orders_table', {NAME => 'blobs_cf', CONFIGURATION => {'hbase.hstore.engine.class'
=> 'org.apache.hadoop.hbase.regionserver.DateTieredStoreEngine', 'hbase.hstore.blockingStoreFiles'
=> '60', 'hbase.hstore.compaction.min'=>'2', 'hbase.hstore.compaction.max'=>'60'}}
+create 'orders_table', 'blobs_cf', CONFIGURATION => {'hbase.hstore.engine.class' =>
'org.apache.hadoop.hbase.regionserver.DateTieredStoreEngine', 'hbase.hstore.blockingStoreFiles'
=> '60', 'hbase.hstore.compaction.min'=>'2', 'hbase.hstore.compaction.max'=>'60'}
+. Configure other options if needed.
+  See <<ops.date.tiered.config>> for more information.
+.Procedure: Disable Date Tiered Compaction
+. Set the `hbase.hstore.engine.class` option to either nil or `org.apache.hadoop.hbase.regionserver.DefaultStoreEngine`.
+  Either option has the same effect.
+  Make sure you set the other options you changed to the original settings too.
+alter 'orders_table', CONFIGURATION => {'hbase.hstore.engine.class' => 'org.apache.hadoop.hbase.regionserver.DefaultStoreEngine',
'hbase.hstore.blockingStoreFiles' => '12', 'hbase.hstore.compaction.min'=>'6', 'hbase.hstore.compaction.max'=>'12'}}
+When you change the store engine either way, a major compaction will likely be performed
on most regions.
+This is not necessary on new tables.
+====== Configuring Date Tiered Compaction
+Each of the settings for date tiered compaction should be configured at the table or column
family, after disabling the table.
+If you use HBase shell, the general command pattern is as follows:
+alter 'orders_table', CONFIGURATION => {'key' => 'value', ..., 'key' => 'value'}}
+.Tier Parameters
+You can configure your date tiers by changing the settings for the following parameters:
+.Date Tier Parameters
+[cols="1,1a", frame="all", options="header"]
+| Setting
+| Notes
+|Files with max-timestamp smaller than this will no longer be compacted.Default at Long.MAX_VALUE.
+| `hbase.hstore.compaction.date.tiered.base.window.millis`
+| Base window size in milliseconds. Default at 6 hours.
+| `hbase.hstore.compaction.date.tiered.windows.per.tier`
+| Number of windows per tier. Default at 4.
+| `hbase.hstore.compaction.date.tiered.incoming.window.min`
+| Minimal number of files to compact in the incoming window. Set it to expected number of
files in the window to avoid wasteful compaction. Default at 6.
+| `hbase.hstore.compaction.date.tiered.window.policy.class`
+| The policy to select store files within the same time window. It doesn’t apply to the
incoming window. Default at exploring compaction. This is to avoid wasteful compaction.
+.Compaction Throttler
+With tiered compaction all servers in the cluster will promote windows to higher tier at
the same time, so using a compaction throttle is recommended:
+Set `hbase.regionserver.throughput.controller` to `org.apache.hadoop.hbase.regionserver.compactions.PressureAwareCompactionThroughputController`.
+NOTE: For more information about date tiered compaction, please refer to the design specification
at https://docs.google.com/document/d/1_AmlNb2N8Us1xICsTeGDLKIqL6T-oHoRLZ323MG_uy8
 ===== Experimental: Stripe Compactions

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