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Posted to commits@hbase.apache.org by bu...@apache.org on 2016/01/03 12:19:17 UTC
[06/11] hbase git commit: HBASE-13908 update site docs for 1.2 RC.
http://git-wip-us.apache.org/repos/asf/hbase/blob/6f07973d/src/main/asciidoc/_chapters/cp.adoc
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:icons: font
:experimental:
-HBase coprocessors are modeled after the coprocessors which are part of Google's BigTable (http://www.scribd.com/doc/21631448/Dean-Keynote-Ladis2009, pages 66-67.). Coprocessors function in a similar way to Linux kernel modules.
-They provide a way to run server-level code against locally-stored data.
-The functionality they provide is very powerful, but also carries great risk and can have adverse effects on the system, at the level of the operating system.
-The information in this chapter is primarily sourced and heavily reused from Mingjie Lai's blog post at https://blogs.apache.org/hbase/entry/coprocessor_introduction.
+HBase Coprocessors are modeled after Google BigTable's coprocessor implementation
+(http://research.google.com/people/jeff/SOCC2010-keynote-slides.pdf pages 41-42.).
-Coprocessors are not designed to be used by end users of HBase, but by HBase developers who need to add specialized functionality to HBase.
-One example of the use of coprocessors is pluggable compaction and scan policies, which are provided as coprocessors in link:https://issues.apache.org/jira/browse/HBASE-6427[HBASE-6427].
+The coprocessor framework provides mechanisms for running your custom code directly on
+the RegionServers managing your data. Efforts are ongoing to bridge gaps between HBase's
+implementation and BigTable's architecture. For more information see
+link:https://issues.apache.org/jira/browse/HBASE-4047[HBASE-4047].
-== Coprocessor Framework
+The information in this chapter is primarily sourced and heavily reused from the following
+resources:
-The implementation of HBase coprocessors diverges from the BigTable implementation.
-The HBase framework provides a library and runtime environment for executing user code within the HBase region server and master processes.
+. Mingjie Lai's blog post
+link:https://blogs.apache.org/hbase/entry/coprocessor_introduction[Coprocessor Introduction].
+. Gaurav Bhardwaj's blog post
+link:http://www.3pillarglobal.com/insights/hbase-coprocessors[The How To Of HBase Coprocessors].
-The framework API is provided in the link:https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/package-summary.html[coprocessor] package.
+[WARNING]
+.Use Coprocessors At Your Own Risk
+====
+Coprocessors are an advanced feature of HBase and are intended to be used by system
+developers only. Because coprocessor code runs directly on the RegionServer and has
+direct access to your data, they introduce the risk of data corruption, man-in-the-middle
+attacks, or other malicious data access. Currently, there is no mechanism to prevent
+data corruption by coprocessors, though work is underway on
+link:https://issues.apache.org/jira/browse/HBASE-4047[HBASE-4047].
++
+In addition, there is no resource isolation, so a well-intentioned but misbehaving
+coprocessor can severely degrade cluster performance and stability.
+====
-Two different types of coprocessors are provided by the framework, based on their scope.
+== Coprocessor Overview
-.Types of Coprocessors
+In HBase, you fetch data using a `Get` or `Scan`, whereas in an RDBMS you use a SQL
+query. In order to fetch only the relevant data, you filter it using a HBase
+link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/filter/Filter.html[Filter]
+, whereas in an RDBMS you use a `WHERE` predicate.
-System Coprocessors::
- System coprocessors are loaded globally on all tables and regions hosted by a region server.
+After fetching the data, you perform computations on it. This paradigm works well
+for "small data" with a few thousand rows and several columns. However, when you scale
+to billions of rows and millions of columns, moving large amounts of data across your
+network will create bottlenecks at the network layer, and the client needs to be powerful
+enough and have enough memory to handle the large amounts of data and the computations.
+In addition, the client code can grow large and complex.
+
+In this scenario, coprocessors might make sense. You can put the business computation
+code into a coprocessor which runs on the RegionServer, in the same location as the
+data, and returns the result to the client.
+
+This is only one scenario where using coprocessors can provide benefit. Following
+are some analogies which may help to explain some of the benefits of coprocessors.
+
+[[cp_analogies]]
+=== Coprocessor Analogies
+
+Triggers and Stored Procedure::
+ An Observer coprocessor is similar to a trigger in a RDBMS in that it executes
+ your code either before or after a specific event (such as a `Get` or `Put`)
+ occurs. An endpoint coprocessor is similar to a stored procedure in a RDBMS
+ because it allows you to perform custom computations on the data on the
+ RegionServer itself, rather than on the client.
+
+MapReduce::
+ MapReduce operates on the principle of moving the computation to the location of
+ the data. Coprocessors operate on the same principal.
+
+AOP::
+ If you are familiar with Aspect Oriented Programming (AOP), you can think of a coprocessor
+ as applying advice by intercepting a request and then running some custom code,
+ before passing the request on to its final destination (or even changing the destination).
+
+
+=== Coprocessor Implementation Overview
+
+. Either your class should extend one of the Coprocessor classes, such as
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/BaseRegionObserver.html[BaseRegionObserver],
+or it should implement the link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/Coprocessor.html[Coprocessor]
+or
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/CoprocessorService.html[CoprocessorService]
+interface.
+
+. Load the coprocessor, either statically (from the configuration) or dynamically,
+using HBase Shell. For more details see <<cp_loading,Loading Coprocessors>>.
+
+. Call the coprocessor from your client-side code. HBase handles the coprocessor
+trapsparently.
+
+The framework API is provided in the
+link:https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/coprocessor/package-summary.html[coprocessor]
+package.
+
+== Types of Coprocessors
+
+=== Observer Coprocessors
+
+Observer coprocessors are triggered either before or after a specific event occurs.
+Observers that happen before an event use methods that start with a `pre` prefix,
+such as link:http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/RegionObserver.html#prePut%28org.apache.hadoop.hbase.coprocessor.ObserverContext,%20org.apache.hadoop.hbase.client.Put,%20org.apache.hadoop.hbase.regionserver.wal.WALEdit,%20org.apache.hadoop.hbase.client.Durability%29[`prePut`]. Observers that happen just after an event override methods that start
+with a `post` prefix, such as link:http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/RegionObserver.html#postPut%28org.apache.hadoop.hbase.coprocessor.ObserverContext,%20org.apache.hadoop.hbase.client.Put,%20org.apache.hadoop.hbase.regionserver.wal.WALEdit,%20org.apache.hadoop.hbase.client.Durability%29[`postPut`].
+
+
+==== Use Cases for Observer Coprocessors
+Security::
+ Before performing a `Get` or `Put` operation, you can check for permission using
+ `preGet` or `prePut` methods.
+
+Referential Integrity::
+ HBase does not directly support the RDBMS concept of refential integrity, also known
+ as foreign keys. You can use a coprocessor to enforce such integrity. For instance,
+ if you have a business rule that every insert to the `users` table must be followed
+ by a corresponding entry in the `user_daily_attendance` table, you could implement
+ a coprocessor to use the `prePut` method on `user` to insert a record into `user_daily_attendance`.
+
+Secondary Indexes::
+ You can use a coprocessor to maintain secondary indexes. For more information, see
+ link:http://wiki.apache.org/hadoop/Hbase/SecondaryIndexing[SecondaryIndexing].
+
+
+==== Types of Observer Coprocessor
+
+RegionObserver::
+ A RegionObserver coprocessor allows you to observe events on a region, such as `Get`
+ and `Put` operations. See
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/RegionObserver.html[RegionObserver].
+ Consider overriding the convenience class
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/BaseRegionObserver.html[BaseRegionObserver],
+ which implements the `RegionObserver` interface and will not break if new methods are added.
+
+RegionServerObserver::
+ A RegionServerObserver allows you to observe events related to the RegionServer's
+ operation, such as starting, stopping, or performing merges, commits, or rollbacks.
+ See
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/RegionServerObserver.html[RegionServerObserver].
+ Consider overriding the convenience class
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/BaseMasterRegionServerObserver.html[BaseMasterRegionServerObserver]
+ which implements both `MasterObserver` and `RegionServerObserver` interfaces and
+ will not break if new methods are added.
+
+MasterOvserver::
+ A MasterObserver allows you to observe events related to the HBase Master, such
+ as table creation, deletion, or schema modification. See
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/MasterObserver.html[MasterObserver].
+ Consider overriding the convenience class
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/BaseMasterRegionServerObserver.html[BaseMasterRegionServerObserver],
+ which implements both `MasterObserver` and `RegionServerObserver` interfaces and
+ will not break if new methods are added.
+
+WalObserver::
+ A WalObserver allows you to observe events related to writes to the Write-Ahead
+ Log (WAL). See
+ link:http://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/WALObserver.html[WALObserver].
+ Consider overriding the convenience class
+ link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/BaseWALObserver.html[BaseWALObserver],
+ which implements the `WalObserver` interface and will not break if new methods are added.
+
+<<cp_example,Examples>> provides working examples of observer coprocessors.
+
+
+=== Endpoint Coprocessor
+
+Endpoint processors allow you to perform computation at the location of the data.
+See <<cp_analogies, Coprocessor Analogy>>. An example is the need to calculate a running
+average or summation for an entire table which spans hundreds of regions.
+
+In contract to observer coprocessors, where your code is run transparently, endpoint
+coprocessors must be explicitly invoked using the
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/client/Table.html#coprocessorService%28java.lang.Class,%20byte%5B%5D,%20byte%5B%5D,%20org.apache.hadoop.hbase.client.coprocessor.Batch.Call%29[CoprocessorService()]
+method available in
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/client/Table.html[Table],
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/client/HTableInterface.html[HTableInterface],
+or
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/client/HTable.html[HTable].
+
+Starting with HBase 0.96, endpoint coprocessors are implemented using Google Protocol
+Buffers (protobuf). For more details on protobuf, see Google's
+link:https://developers.google.com/protocol-buffers/docs/proto[Protocol Buffer Guide].
+Endpoints Coprocessor written in version 0.94 are not compatible with version 0.96 or later.
+See
+link:https://issues.apache.org/jira/browse/HBASE-5448[HBASE-5448]). To upgrade your
+HBase cluster from 0.94 or earlier to 0.96 or later, you need to reimplement your
+coprocessor.
+
+<<cp_example,Examples>> provides working examples of endpoint coprocessors.
+
+[[cp_loading]]
+== Loading Coprocessors
+
+To make your coprocessor available to HBase, it must be _loaded_, either statically
+(through the HBase configuration) or dynamically (using HBase Shell or the Java API).
+
+=== Static Loading
+
+Follow these steps to statically load your coprocessor. Keep in mind that you must
+restart HBase to unload a coprocessor that has been loaded statically.
+
+. Define the Coprocessor in _hbase-site.xml_, with a <property> element with a <name>
+and a <value> sub-element. The <name> should be one of the following:
++
+- `hbase.coprocessor.region.classes` for RegionObservers and Endpoints.
+- `hbase.coprocessor.wal.classes` for WALObservers.
+- `hbase.coprocessor.master.classes` for MasterObservers.
++
+<value> must contain the fully-qualified class name of your coprocessor's implementation
+class.
++
+For example to load a Coprocessor (implemented in class SumEndPoint.java) you have to create
+following entry in RegionServer's 'hbase-site.xml' file (generally located under 'conf' directory):
++
+[source,xml]
+----
+<property>
+ <name>hbase.coprocessor.region.classes</name>
+ <value>org.myname.hbase.coprocessor.endpoint.SumEndPoint</value>
+</property>
+----
++
+If multiple classes are specified for loading, the class names must be comma-separated.
+The framework attempts to load all the configured classes using the default class loader.
+Therefore, the jar file must reside on the server-side HBase classpath.
++
+Coprocessors which are loaded in this way will be active on all regions of all tables.
+These are also called system Coprocessor.
+The first listed Coprocessors will be assigned the priority `Coprocessor.Priority.SYSTEM`.
+Each subsequent coprocessor in the list will have its priority value incremented by one (which
+reduces its priority, because priorities have the natural sort order of Integers).
++
+When calling out to registered observers, the framework executes their callbacks methods in the
+sorted order of their priority. +
+Ties are broken arbitrarily.
-Table Coprocessors::
- You can specify which coprocessors should be loaded on all regions for a table on a per-table basis.
+. Put your code HBase's classpath. One easy way to do this is to drop the jar
+ (containing you code and all the dependencies) into the `lib/` directory in the
+ HBase installation.
-The framework provides two different aspects of extensions as well: _observers_ and _endpoints_.
+. Restart HBase.
-Observers::
- Observers are analogous to triggers in conventional databases.
- They allow you to insert user code by overriding upcall methods provided by the coprocessor framework.
- Callback functions are executed from core HBase code when events occur.
- Callbacks are handled by the framework, and the coprocessor itself only needs to insert the extended or alternate functionality.
-Endpoints (HBase 0.96.x and later)::
- The implementation for endpoints changed significantly in HBase 0.96.x due to the introduction of protocol buffers (protobufs) (link:https://issues.apache.org/jira/browse/HBASE-5448[HBASE-5488]). If you created endpoints before 0.96.x, you will need to rewrite them.
- Endpoints are now defined and callable as protobuf services, rather than endpoint invocations passed through as Writable blobs
+=== Static Unloading
-Endpoints (HBase 0.94.x and earlier)::
- Dynamic RPC endpoints resemble stored procedures.
- An endpoint can be invoked at any time from the client.
- When it is invoked, it is executed remotely at the target region or regions, and results of the executions are returned to the client.
+. Delete the coprocessor's <property> element, including sub-elements, from `hbase-site.xml`.
+. Restart HBase.
+. Optionally, remove the coprocessor's JAR file from the classpath or HBase's `lib/`
+ directory.
-== Examples
-An example of an observer is included in _hbase-examples/src/test/java/org/apache/hadoop/hbase/coprocessor/example/TestZooKeeperScanPolicyObserver.java_.
-Several endpoint examples are included in the same directory.
+=== Dynamic Loading
-== Building A Coprocessor
+You can also load a coprocessor dynamically, without restarting HBase. This may seem
+preferable to static loading, but dynamically loaded coprocessors are loaded on a
+per-table basis, and are only available to the table for which they were loaded. For
+this reason, dynamically loaded tables are sometimes called *Table Coprocessor*.
-Before you can build a processor, it must be developed, compiled, and packaged in a JAR file.
-The next step is to configure the coprocessor framework to use your coprocessor.
-You can load the coprocessor from your HBase configuration, so that the coprocessor starts with HBase, or you can configure the coprocessor from the HBase shell, as a table attribute, so that it is loaded dynamically when the table is opened or reopened.
+In addition, dynamically loading a coprocessor acts as a schema change on the table,
+and the table must be taken offline to load the coprocessor.
-=== Load from Configuration
+There are three ways to dynamically load Coprocessor.
-To configure a coprocessor to be loaded when HBase starts, modify the RegionServer's _hbase-site.xml_ and configure one of the following properties, based on the type of observer you are configuring:
-
-* `hbase.coprocessor.region.classes`for RegionObservers and Endpoints
-* `hbase.coprocessor.wal.classes`for WALObservers
-* `hbase.coprocessor.master.classes`for MasterObservers
+[NOTE]
+.Assumptions
+====
+The below mentioned instructions makes the following assumptions:
-.Example RegionObserver Configuration
+* A JAR called `coprocessor.jar` contains the Coprocessor implementation along with all of its
+dependencies.
+* The JAR is available in HDFS in some location like
+`hdfs://<namenode>:<port>/user/<hadoop-user>/coprocessor.jar`.
====
-In this example, one RegionObserver is configured for all the HBase tables.
-[source,xml]
+==== Using HBase Shell
+
+. Disable the table using HBase Shell:
++
+[source]
----
-<property>
- <name>hbase.coprocessor.region.classes</name>
- <value>org.apache.hadoop.hbase.coprocessor.AggregateImplementation</value>
-</property>
+hbase> disable 'users'
----
-====
-If multiple classes are specified for loading, the class names must be comma-separated.
-The framework attempts to load all the configured classes using the default class loader.
-Therefore, the jar file must reside on the server-side HBase classpath.
+. Load the Coprocessor, using a command like the following:
++
+[source]
+----
+hbase alter 'users', METHOD => 'table_att', 'Coprocessor'=>'hdfs://<namenode>:<port>/
+user/<hadoop-user>/coprocessor.jar| org.myname.hbase.Coprocessor.RegionObserverExample|1073741823|
+arg1=1,arg2=2'
+----
++
+The Coprocessor framework will try to read the class information from the coprocessor table
+attribute value.
+The value contains four pieces of information which are separated by the pipe (`|`) character.
++
+* File path: The jar file containing the Coprocessor implementation must be in a location where
+all region servers can read it. +
+You could copy the file onto the local disk on each region server, but it is recommended to store
+it in HDFS.
+* Class name: The full class name of the Coprocessor.
+* Priority: An integer. The framework will determine the execution sequence of all configured
+observers registered at the same hook using priorities. This field can be left blank. In that
+case the framework will assign a default priority value.
+* Arguments (Optional): This field is passed to the Coprocessor implementation. This is optional.
+
+. Enable the table.
++
+----
+hbase(main):003:0> enable 'users'
+----
-Coprocessors which are loaded in this way will be active on all regions of all tables.
-These are the system coprocessor introduced earlier.
-The first listed coprocessors will be assigned the priority `Coprocessor.Priority.SYSTEM`.
-Each subsequent coprocessor in the list will have its priority value incremented by one (which reduces its priority, because priorities have the natural sort order of Integers).
+. Verify that the coprocessor loaded:
++
+----
+hbase(main):04:0> describe 'users'
+----
++
+The coprocessor should be listed in the `TABLE_ATTRIBUTES`.
-When calling out to registered observers, the framework executes their callbacks methods in the sorted order of their priority.
-Ties are broken arbitrarily.
+==== Using the Java API (all HBase versions)
-=== Load from the HBase Shell
+The following Java code shows how to use the `setValue()` method of `HTableDescriptor`
+to load a coprocessor on the `users` table.
-You can load a coprocessor on a specific table via a table attribute.
-The following example will load the `FooRegionObserver` observer when table `t1` is read or re-read.
+[source,java]
+----
+TableName tableName = TableName.valueOf("users");
+String path = "hdfs://<namenode>:<port>/user/<hadoop-user>/coprocessor.jar";
+Configuration conf = HBaseConfiguration.create();
+Connection connection = ConnectionFactory.createConnection(conf);
+Admin admin = connection.getAdmin();
+admin.disableTable(tableName);
+HTableDescriptor hTableDescriptor = new HTableDescriptor(tableName);
+HColumnDescriptor columnFamily1 = new HColumnDescriptor("personalDet");
+columnFamily1.setMaxVersions(3);
+hTableDescriptor.addFamily(columnFamily1);
+HColumnDescriptor columnFamily2 = new HColumnDescriptor("salaryDet");
+columnFamily2.setMaxVersions(3);
+hTableDescriptor.addFamily(columnFamily2);
+hTableDescriptor.setValue("COPROCESSOR$1", path + "|"
++ RegionObserverExample.class.getCanonicalName() + "|"
++ Coprocessor.PRIORITY_USER);
+admin.modifyTable(tableName, hTableDescriptor);
+admin.enableTable(tableName);
+----
-.Load a Coprocessor On a Table Using HBase Shell
-====
+==== Using the Java API (HBase 0.96+ only)
+
+In HBase 0.96 and newer, the `addCoprocessor()` method of `HTableDescriptor` provides
+an easier way to load a coprocessor dynamically.
+
+[source,java]
----
-hbase(main):005:0> alter 't1', METHOD => 'table_att',
- 'coprocessor'=>'hdfs:///foo.jar|com.foo.FooRegionObserver|1001|arg1=1,arg2=2'
-Updating all regions with the new schema...
-1/1 regions updated.
-Done.
-0 row(s) in 1.0730 seconds
-
-hbase(main):006:0> describe 't1'
-DESCRIPTION ENABLED
- {NAME => 't1', coprocessor$1 => 'hdfs:///foo.jar|com.foo.FooRegio false
- nObserver|1001|arg1=1,arg2=2', FAMILIES => [{NAME => 'c1', DATA_B
- LOCK_ENCODING => 'NONE', BLOOMFILTER => 'NONE', REPLICATION_SCOPE
- => '0', VERSIONS => '3', COMPRESSION => 'NONE', MIN_VERSIONS =>
- '0', TTL => '2147483647', KEEP_DELETED_CELLS => 'false', BLOCKSIZ
- E => '65536', IN_MEMORY => 'false', ENCODE_ON_DISK => 'true', BLO
- CKCACHE => 'true'}, {NAME => 'f1', DATA_BLOCK_ENCODING => 'NONE',
- BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3'
- , COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '2147483647'
- , KEEP_DELETED_CELLS => 'false', BLOCKSIZE => '65536', IN_MEMORY
- => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}
-1 row(s) in 0.0190 seconds
+TableName tableName = TableName.valueOf("users");
+String path = "hdfs://<namenode>:<port>/user/<hadoop-user>/coprocessor.jar";
+Configuration conf = HBaseConfiguration.create();
+HBaseAdmin admin = new HBaseAdmin(conf);
+admin.disableTable(tableName);
+HTableDescriptor hTableDescriptor = new HTableDescriptor(tableName);
+HColumnDescriptor columnFamily1 = new HColumnDescriptor("personalDet");
+columnFamily1.setMaxVersions(3);
+hTableDescriptor.addFamily(columnFamily1);
+HColumnDescriptor columnFamily2 = new HColumnDescriptor("salaryDet");
+columnFamily2.setMaxVersions(3);
+hTableDescriptor.addFamily(columnFamily2);
+hTableDescriptor.addCoprocessor(RegionObserverExample.class.getCanonicalName(), path,
+Coprocessor.PRIORITY_USER, null);
+admin.modifyTable(tableName, hTableDescriptor);
+admin.enableTable(tableName);
----
-====
-The coprocessor framework will try to read the class information from the coprocessor table attribute value.
-The value contains four pieces of information which are separated by the `|` character.
+WARNING: There is no guarantee that the framework will load a given Coprocessor successfully.
+For example, the shell command neither guarantees a jar file exists at a particular location nor
+verifies whether the given class is actually contained in the jar file.
-* File path: The jar file containing the coprocessor implementation must be in a location where all region servers can read it.
- You could copy the file onto the local disk on each region server, but it is recommended to store it in HDFS.
-* Class name: The full class name of the coprocessor.
-* Priority: An integer.
- The framework will determine the execution sequence of all configured observers registered at the same hook using priorities.
- This field can be left blank.
- In that case the framework will assign a default priority value.
-* Arguments: This field is passed to the coprocessor implementation.
-.Unload a Coprocessor From a Table Using HBase Shell
-====
+=== Dynamic Unloading
+
+==== Using HBase Shell
+
+. Disable the table.
++
+[source]
+----
+hbase> disable 'users'
----
-hbase(main):007:0> alter 't1', METHOD => 'table_att_unset',
-hbase(main):008:0* NAME => 'coprocessor$1'
-Updating all regions with the new schema...
-1/1 regions updated.
-Done.
-0 row(s) in 1.1130 seconds
-
-hbase(main):009:0> describe 't1'
-DESCRIPTION ENABLED
- {NAME => 't1', FAMILIES => [{NAME => 'c1', DATA_BLOCK_ENCODING => false
- 'NONE', BLOOMFILTER => 'NONE', REPLICATION_SCOPE => '0', VERSION
- S => '3', COMPRESSION => 'NONE', MIN_VERSIONS => '0', TTL => '214
- 7483647', KEEP_DELETED_CELLS => 'false', BLOCKSIZE => '65536', IN
- _MEMORY => 'false', ENCODE_ON_DISK => 'true', BLOCKCACHE => 'true
- '}, {NAME => 'f1', DATA_BLOCK_ENCODING => 'NONE', BLOOMFILTER =>
- 'NONE', REPLICATION_SCOPE => '0', VERSIONS => '3', COMPRESSION =>
- 'NONE', MIN_VERSIONS => '0', TTL => '2147483647', KEEP_DELETED_C
- ELLS => 'false', BLOCKSIZE => '65536', IN_MEMORY => 'false', ENCO
- DE_ON_DISK => 'true', BLOCKCACHE => 'true'}]}
-1 row(s) in 0.0180 seconds
+. Alter the table to remove the coprocessor.
++
+[source]
----
-====
+hbase> alter 'users', METHOD => 'table_att_unset', NAME => 'coprocessor$1'
+----
+
+. Enable the table.
++
+[source]
+----
+hbase> enable 'users'
+----
+
+==== Using the Java API
+
+Reload the table definition without setting the value of the coprocessor either by
+using `setValue()` or `addCoprocessor()` methods. This will remove any coprocessor
+attached to the table.
+
+[source,java]
+----
+TableName tableName = TableName.valueOf("users");
+String path = "hdfs://<namenode>:<port>/user/<hadoop-user>/coprocessor.jar";
+Configuration conf = HBaseConfiguration.create();
+Connection connection = ConnectionFactory.createConnection(conf);
+Admin admin = connection.getAdmin();
+admin.disableTable(tableName);
+HTableDescriptor hTableDescriptor = new HTableDescriptor(tableName);
+HColumnDescriptor columnFamily1 = new HColumnDescriptor("personalDet");
+columnFamily1.setMaxVersions(3);
+hTableDescriptor.addFamily(columnFamily1);
+HColumnDescriptor columnFamily2 = new HColumnDescriptor("salaryDet");
+columnFamily2.setMaxVersions(3);
+hTableDescriptor.addFamily(columnFamily2);
+admin.modifyTable(tableName, hTableDescriptor);
+admin.enableTable(tableName);
+----
+
+In HBase 0.96 and newer, you can instead use the `removeCoprocessor()` method of the
+`HTableDescriptor` class.
+
+
+[[cp_example]]
+== Examples
+HBase ships examples for Observer Coprocessor in
+link:http://hbase.apache.org/xref/org/apache/hadoop/hbase/coprocessor/example/ZooKeeperScanPolicyObserver.html[ZooKeeperScanPolicyObserver]
+and for Endpoint Coprocessor in
+link:http://hbase.apache.org/xref/org/apache/hadoop/hbase/coprocessor/example/RowCountEndpoint.html[RowCountEndpoint]
+
+A more detailed example is given below.
+
+These examples assume a table called `users`, which has two column families `personalDet`
+and `salaryDet`, containing personal and salary details. Below is the graphical representation
+of the `users` table.
+
+.Users Table
+[width="100%",cols="7",options="header,footer"]
+|====================
+| 3+|personalDet 3+|salaryDet
+|*rowkey* |*name* |*lastname* |*dob* |*gross* |*net* |*allowances*
+|admin |Admin |Admin | 3+|
+|cdickens |Charles |Dickens |02/07/1812 |10000 |8000 |2000
+|jverne |Jules |Verne |02/08/1828 |12000 |9000 |3000
+|====================
+
+
+=== Observer Example
+
+The following Observer coprocessor prevents the details of the user `admin` from being
+returned in a `Get` or `Scan` of the `users` table.
+
+. Write a class that extends the
+link:https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/coprocessor/BaseRegionObserver.html[BaseRegionObserver]
+class.
-WARNING: There is no guarantee that the framework will load a given coprocessor successfully.
-For example, the shell command neither guarantees a jar file exists at a particular location nor verifies whether the given class is actually contained in the jar file.
+. Override the `preGetOp()` method (the `preGet()` method is deprecated) to check
+whether the client has queried for the rowkey with value `admin`. If so, return an
+empty result. Otherwise, process the request as normal.
-== Check the Status of a Coprocessor
+. Put your code and dependencies in a JAR file.
-To check the status of a coprocessor after it has been configured, use the `status` HBase Shell command.
+. Place the JAR in HDFS where HBase can locate it.
+. Load the Coprocessor.
+
+. Write a simple program to test it.
+
+Following are the implementation of the above steps:
+
+
+[source,java]
+----
+public class RegionObserverExample extends BaseRegionObserver {
+
+ private static final byte[] ADMIN = Bytes.toBytes("admin");
+ private static final byte[] COLUMN_FAMILY = Bytes.toBytes("details");
+ private static final byte[] COLUMN = Bytes.toBytes("Admin_det");
+ private static final byte[] VALUE = Bytes.toBytes("You can't see Admin details");
+
+ @Override
+ public void preGetOp(final ObserverContext e, final Get get, final List results)
+ throws IOException {
+
+ if (Bytes.equals(get.getRow(),ADMIN)) {
+ Cell c = CellUtil.createCell(get.getRow(),COLUMN _FAMILY, COLUMN,
+ System.currentTimeMillis(), (byte)4, VALUE);
+ results.add(c);
+ e.bypass();
+ }
+
+ List kvs = new ArrayList(results.size());
+ for (Cell c : results) {
+ kvs.add(KeyValueUtil.ensureKeyValue(c));
+ }
+ preGet(e, get, kvs);
+ results.clear();
+ results.addAll(kvs);
+ }
+}
+----
+
+Overriding the `preGetOp()` will only work for `Get` operations. You also need to override
+the `preScannerOpen()` method to filter the `admin` row from scan results.
+
+[source,java]
+----
+@Override
+public RegionScanner preScannerOpen(final ObserverContext e, final Scan scan,
+final RegionScanner s) throws IOException {
+
+ Filter filter = new RowFilter(CompareOp.NOT_EQUAL, new BinaryComparator(ADMIN));
+ scan.setFilter(filter);
+ return s;
+}
----
-hbase(main):020:0> status 'detailed'
-version 0.92-tm-6
-0 regionsInTransition
-master coprocessors: []
-1 live servers
- localhost:52761 1328082515520
- requestsPerSecond=3, numberOfOnlineRegions=3, usedHeapMB=32, maxHeapMB=995
- -ROOT-,,0
- numberOfStores=1, numberOfStorefiles=1, storefileUncompressedSizeMB=0, storefileSizeMB=0, memstoreSizeMB=0,
-storefileIndexSizeMB=0, readRequestsCount=54, writeRequestsCount=1, rootIndexSizeKB=0, totalStaticIndexSizeKB=0,
-totalStaticBloomSizeKB=0, totalCompactingKVs=0, currentCompactedKVs=0, compactionProgressPct=NaN, coprocessors=[]
- .META.,,1
- numberOfStores=1, numberOfStorefiles=0, storefileUncompressedSizeMB=0, storefileSizeMB=0, memstoreSizeMB=0,
-storefileIndexSizeMB=0, readRequestsCount=97, writeRequestsCount=4, rootIndexSizeKB=0, totalStaticIndexSizeKB=0,
-totalStaticBloomSizeKB=0, totalCompactingKVs=0, currentCompactedKVs=0, compactionProgressPct=NaN, coprocessors=[]
- t1,,1328082575190.c0491168a27620ffe653ec6c04c9b4d1.
- numberOfStores=2, numberOfStorefiles=1, storefileUncompressedSizeMB=0, storefileSizeMB=0, memstoreSizeMB=0,
-storefileIndexSizeMB=0, readRequestsCount=0, writeRequestsCount=0, rootIndexSizeKB=0, totalStaticIndexSizeKB=0,
-totalStaticBloomSizeKB=0, totalCompactingKVs=0, currentCompactedKVs=0, compactionProgressPct=NaN,
-coprocessors=[AggregateImplementation]
-0 dead servers
+This method works but there is a _side effect_. If the client has used a filter in
+its scan, that filter will be replaced by this filter. Instead, you can explicitly
+remove any `admin` results from the scan:
+
+[source,java]
+----
+@Override
+public boolean postScannerNext(final ObserverContext e, final InternalScanner s,
+final List results, final int limit, final boolean hasMore) throws IOException {
+ Result result = null;
+ Iterator iterator = results.iterator();
+ while (iterator.hasNext()) {
+ result = iterator.next();
+ if (Bytes.equals(result.getRow(), ROWKEY)) {
+ iterator.remove();
+ break;
+ }
+ }
+ return hasMore;
+}
----
+=== Endpoint Example
+
+Still using the `users` table, this example implements a coprocessor to calculate
+the sum of all employee salaries, using an endpoint coprocessor.
+
+. Create a '.proto' file defining your service.
++
+[source]
+----
+option java_package = "org.myname.hbase.coprocessor.autogenerated";
+option java_outer_classname = "Sum";
+option java_generic_services = true;
+option java_generate_equals_and_hash = true;
+option optimize_for = SPEED;
+message SumRequest {
+ required string family = 1;
+ required string column = 2;
+}
+
+message SumResponse {
+ required int64 sum = 1 [default = 0];
+}
+
+service SumService {
+ rpc getSum(SumRequest)
+ returns (SumResponse);
+}
+----
+
+. Execute the `protoc` command to generate the Java code from the above .proto' file.
++
+[source]
+----
+$ mkdir src
+$ protoc --java_out=src ./sum.proto
+----
++
+This will generate a class call `Sum.java`.
+
+. Write a class that extends the generated service class, implement the `Coprocessor`
+and `CoprocessorService` classes, and override the service method.
++
+WARNING: If you load a coprocessor from `hbase-site.xml` and then load the same coprocessor
+again using HBase Shell, it will be loaded a second time. The same class will
+exist twice, and the second instance will have a higher ID (and thus a lower priority).
+The effect is that the duplicate coprocessor is effectively ignored.
++
+[source, java]
+----
+public class SumEndPoint extends SumService implements Coprocessor, CoprocessorService {
+
+ private RegionCoprocessorEnvironment env;
+
+ @Override
+ public Service getService() {
+ return this;
+ }
+
+ @Override
+ public void start(CoprocessorEnvironment env) throws IOException {
+ if (env instanceof RegionCoprocessorEnvironment) {
+ this.env = (RegionCoprocessorEnvironment)env;
+ } else {
+ throw new CoprocessorException("Must be loaded on a table region!");
+ }
+ }
+
+ @Override
+ public void stop(CoprocessorEnvironment env) throws IOException {
+ // do mothing
+ }
+
+ @Override
+ public void getSum(RpcController controller, SumRequest request, RpcCallback done) {
+ Scan scan = new Scan();
+ scan.addFamily(Bytes.toBytes(request.getFamily()));
+ scan.addColumn(Bytes.toBytes(request.getFamily()), Bytes.toBytes(request.getColumn()));
+ SumResponse response = null;
+ InternalScanner scanner = null;
+ try {
+ scanner = env.getRegion().getScanner(scan);
+ List results = new ArrayList();
+ boolean hasMore = false;
+ long sum = 0L;
+ do {
+ hasMore = scanner.next(results);
+ for (Cell cell : results) {
+ sum = sum + Bytes.toLong(CellUtil.cloneValue(cell));
+ }
+ results.clear();
+ } while (hasMore);
+
+ response = SumResponse.newBuilder().setSum(sum).build();
+
+ } catch (IOException ioe) {
+ ResponseConverter.setControllerException(controller, ioe);
+ } finally {
+ if (scanner != null) {
+ try {
+ scanner.close();
+ } catch (IOException ignored) {}
+ }
+ }
+ done.run(response);
+ }
+}
+----
++
+[source, java]
+----
+Configuration conf = HBaseConfiguration.create();
+// Use below code for HBase version 1.x.x or above.
+Connection connection = ConnectionFactory.createConnection(conf);
+TableName tableName = TableName.valueOf("users");
+Table table = connection.getTable(tableName);
+
+//Use below code HBase version 0.98.xx or below.
+//HConnection connection = HConnectionManager.createConnection(conf);
+//HTableInterface table = connection.getTable("users");
+
+final SumRequest request = SumRequest.newBuilder().setFamily("salaryDet").setColumn("gross")
+ .build();
+try {
+Map<byte[], Long> results = table.CoprocessorService (SumService.class, null, null,
+new Batch.Call<SumService, Long>() {
+ @Override
+ public Long call(SumService aggregate) throws IOException {
+BlockingRpcCallback rpcCallback = new BlockingRpcCallback();
+ aggregate.getSum(null, request, rpcCallback);
+ SumResponse response = rpcCallback.get();
+ return response.hasSum() ? response.getSum() : 0L;
+ }
+ });
+ for (Long sum : results.values()) {
+ System.out.println("Sum = " + sum);
+ }
+} catch (ServiceException e) {
+e.printStackTrace();
+} catch (Throwable e) {
+ e.printStackTrace();
+}
+----
+
+. Load the Coprocessor.
+
+. Write a client code to call the Coprocessor.
+
+
+== Guidelines For Deploying A Coprocessor
+
+Bundling Coprocessors::
+ You can bundle all classes for a coprocessor into a
+ single JAR on the RegionServer's classpath, for easy deployment. Otherwise,
+ place all dependencies on the RegionServer's classpath so that they can be
+ loaded during RegionServer start-up. The classpath for a RegionServer is set
+ in the RegionServer's `hbase-env.sh` file.
+Automating Deployment::
+ You can use a tool such as Puppet, Chef, or
+ Ansible to ship the JAR for the coprocessor to the required location on your
+ RegionServers' filesystems and restart each RegionServer, to automate
+ coprocessor deployment. Details for such set-ups are out of scope of this
+ document.
+Updating a Coprocessor::
+ Deploying a new version of a given coprocessor is not as simple as disabling it,
+ replacing the JAR, and re-enabling the coprocessor. This is because you cannot
+ reload a class in a JVM unless you delete all the current references to it.
+ Since the current JVM has reference to the existing coprocessor, you must restart
+ the JVM, by restarting the RegionServer, in order to replace it. This behavior
+ is not expected to change.
+Coprocessor Logging::
+ The Coprocessor framework does not provide an API for logging beyond standard Java
+ logging.
+Coprocessor Configuration::
+ If you do not want to load coprocessors from the HBase Shell, you can add their configuration
+ properties to `hbase-site.xml`. In <<load_coprocessor_in_shell>>, two arguments are
+ set: `arg1=1,arg2=2`. These could have been added to `hbase-site.xml` as follows:
+[source,xml]
+----
+<property>
+ <name>arg1</name>
+ <value>1</value>
+</property>
+<property>
+ <name>arg2</name>
+ <value>2</value>
+</property>
+----
+Then you can read the configuration using code like the following:
+[source,java]
+----
+Configuration conf = HBaseConfiguration.create();
+// Use below code for HBase version 1.x.x or above.
+Connection connection = ConnectionFactory.createConnection(conf);
+TableName tableName = TableName.valueOf("users");
+Table table = connection.getTable(tableName);
+
+//Use below code HBase version 0.98.xx or below.
+//HConnection connection = HConnectionManager.createConnection(conf);
+//HTableInterface table = connection.getTable("users");
+
+Get get = new Get(Bytes.toBytes("admin"));
+Result result = table.get(get);
+for (Cell c : result.rawCells()) {
+ System.out.println(Bytes.toString(CellUtil.cloneRow(c))
+ + "==> " + Bytes.toString(CellUtil.cloneFamily(c))
+ + "{" + Bytes.toString(CellUtil.cloneQualifier(c))
+ + ":" + Bytes.toLong(CellUtil.cloneValue(c)) + "}");
+}
+Scan scan = new Scan();
+ResultScanner scanner = table.getScanner(scan);
+for (Result res : scanner) {
+ for (Cell c : res.rawCells()) {
+ System.out.println(Bytes.toString(CellUtil.cloneRow(c))
+ + " ==> " + Bytes.toString(CellUtil.cloneFamily(c))
+ + " {" + Bytes.toString(CellUtil.cloneQualifier(c))
+ + ":" + Bytes.toLong(CellUtil.cloneValue(c))
+ + "}");
+ }
+}
+----
+
+
+
+
== Monitor Time Spent in Coprocessors
-HBase 0.98.5 introduced the ability to monitor some statistics relating to the amount of time spent executing a given coprocessor.
-You can see these statistics via the HBase Metrics framework (see <<hbase_metrics>> or the Web UI for a given Region Server, via the _Coprocessor Metrics_ tab.
-These statistics are valuable for debugging and benchmarking the performance impact of a given coprocessor on your cluster.
+HBase 0.98.5 introduced the ability to monitor some statistics relating to the amount of time
+spent executing a given Coprocessor.
+You can see these statistics via the HBase Metrics framework (see <<hbase_metrics>> or the Web UI
+for a given Region Server, via the _Coprocessor Metrics_ tab.
+These statistics are valuable for debugging and benchmarking the performance impact of a given
+Coprocessor on your cluster.
Tracked statistics include min, max, average, and 90th, 95th, and 99th percentile.
All times are shown in milliseconds.
-The statistics are calculated over coprocessor execution samples recorded during the reporting interval, which is 10 seconds by default.
+The statistics are calculated over Coprocessor execution samples recorded during the reporting
+interval, which is 10 seconds by default.
The metrics sampling rate as described in <<hbase_metrics>>.
.Coprocessor Metrics UI
http://git-wip-us.apache.org/repos/asf/hbase/blob/6f07973d/src/main/asciidoc/_chapters/datamodel.adoc
----------------------------------------------------------------------
diff --git a/src/main/asciidoc/_chapters/datamodel.adoc b/src/main/asciidoc/_chapters/datamodel.adoc
index b76adc8..66d2801 100644
--- a/src/main/asciidoc/_chapters/datamodel.adoc
+++ b/src/main/asciidoc/_chapters/datamodel.adoc
@@ -93,7 +93,7 @@ The colon character (`:`) delimits the column family from the column family _qua
|===
|Row Key |Time Stamp |ColumnFamily `contents` |ColumnFamily `anchor`|ColumnFamily `people`
|"com.cnn.www" |t9 | |anchor:cnnsi.com = "CNN" |
-|"com.cnn.www" |t8 | |anchor:my.look.ca = "CNN.com" |
+|"com.cnn.www" |t8 | |anchor:my.look.ca = "CNN.com" |
|"com.cnn.www" |t6 | contents:html = "<html>..." | |
|"com.cnn.www" |t5 | contents:html = "<html>..." | |
|"com.cnn.www" |t3 | contents:html = "<html>..." | |
@@ -171,7 +171,7 @@ For more information about the internals of how Apache HBase stores data, see <<
A namespace is a logical grouping of tables analogous to a database in relation database systems.
This abstraction lays the groundwork for upcoming multi-tenancy related features:
-* Quota Management (link:https://issues.apache.org/jira/browse/HBASE-8410[HBASE-8410]) - Restrict the amount of resources (ie regions, tables) a namespace can consume.
+* Quota Management (link:https://issues.apache.org/jira/browse/HBASE-8410[HBASE-8410]) - Restrict the amount of resources (i.e. regions, tables) a namespace can consume.
* Namespace Security Administration (link:https://issues.apache.org/jira/browse/HBASE-9206[HBASE-9206]) - Provide another level of security administration for tenants.
* Region server groups (link:https://issues.apache.org/jira/browse/HBASE-6721[HBASE-6721]) - A namespace/table can be pinned onto a subset of RegionServers thus guaranteeing a course level of isolation.
@@ -257,7 +257,7 @@ For example, the columns _courses:history_ and _courses:math_ are both members o
The colon character (`:`) delimits the column family from the column family qualifier.
The column family prefix must be composed of _printable_ characters.
The qualifying tail, the column family _qualifier_, can be made of any arbitrary bytes.
-Column families must be declared up front at schema definition time whereas columns do not need to be defined at schema time but can be conjured on the fly while the table is up an running.
+Column families must be declared up front at schema definition time whereas columns do not need to be defined at schema time but can be conjured on the fly while the table is up and running.
Physically, all column family members are stored together on the filesystem.
Because tunings and storage specifications are done at the column family level, it is advised that all column family members have the same general access pattern and size characteristics.
@@ -279,7 +279,7 @@ Gets are executed via link:http://hbase.apache.org/apidocs/org/apache/hadoop/hba
=== Put
-link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/Put.html[Put] either adds new rows to a table (if the key is new) or can update existing rows (if the key already exists). Puts are executed via link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/Table.html#put(org.apache.hadoop.hbase.client.Put)[Table.put] (writeBuffer) or link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/Table.html#batch(java.util.List, java.lang.Object[])[Table.batch] (non-writeBuffer).
+link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/Put.html[Put] either adds new rows to a table (if the key is new) or can update existing rows (if the key already exists). Puts are executed via link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/Table.html#put(org.apache.hadoop.hbase.client.Put)[Table.put] (writeBuffer) or link:http://hbase.apache.org/apidocs/org/apache/hadoop/hbase/client/Table.html#batch(java.util.List,%20java.lang.Object%5B%5D)[Table.batch] (non-writeBuffer).
[[scan]]
=== Scans
@@ -552,7 +552,7 @@ hash-joins). So which is the best approach? It depends on what you are trying to
== ACID
-See link:http://hbase.apache.org/acid-semantics.html[ACID Semantics].
+See link:/acid-semantics.html[ACID Semantics].
Lars Hofhansl has also written a note on link:http://hadoop-hbase.blogspot.com/2012/03/acid-in-hbase.html[ACID in HBase].
ifdef::backend-docbook[]