This chapter will cover access to Apache HBase either through non-Java languages, or through custom protocols. For information on using the native HBase APIs, refer to User API Reference and the new HBase APIs chapter.
1. Non-Java Languages Talking to the JVM
Currently the documentation on this topic is in the Apache HBase Wiki. See also the Thrift API Javadoc.
2. REST
Representational State Transfer (REST) was introduced in 2000 in the doctoral dissertation of Roy Fielding, one of the principal authors of the HTTP specification.
REST itself is out of the scope of this documentation, but in general, REST allows client-server interactions via an API that is tied to the URL itself. This section discusses how to configure and run the REST server included with HBase, which exposes HBase tables, rows, cells, and metadata as URL specified resources. There is also a nice series of blogs on How-to: Use the Apache HBase REST Interface by Jesse Anderson.
2.1. Starting and Stopping the REST Server
The included REST server can run as a daemon which starts an embedded Jetty servlet container and deploys the servlet into it. Use one of the following commands to start the REST server in the foreground or background. The port is optional, and defaults to 8080.
# Foreground
$ bin/hbase rest start -p <port>
# Background, logging to a file in $HBASE_LOGS_DIR
$ bin/hbase-daemon.sh start rest -p <port>
To stop the REST server, use Ctrl-C if you were running it in the foreground, or the following command if you were running it in the background.
$ bin/hbase-daemon.sh stop rest
2.2. Configuring the REST Server and Client
For information about configuring the REST server and client for SSL, as well as doAs
impersonation for the REST server, see [security.gateway.thrift] and other portions
of the [security] chapter.
2.3. Using REST Endpoints
The following examples use the placeholder server http://example.com:8000, and
the following commands can all be run using curl or wget commands. You can request
plain text (the default), XML , or JSON output by adding no header for plain text,
or the header "Accept: text/xml" for XML or "Accept: application/json" for JSON.
Unless specified, use GET requests for queries, PUT or POST requests for
creation or mutation, and DELETE for deletion.
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2.3.1. Cluster Information
http://example.com:8000/version/cluster
http://example.com:8000/status/cluster
http://example.com:8000/
2.3.2. Table Information
To retrieve the table schema, use a GET request with the /schema endpoint:
http://example.com:8000/<table>/schema
To create a table, use a PUT request with the /schema endpoint:
http://example.com:8000/<table>/schema
To update a table, use a POST request with the /schema endpoint:
http://example.com:8000/<table>/schema
To delete a table, use a DELETE request with the /schema endpoint:
http://example.com:8000<table>/schema
http://example.com:8000/<table>/regions
2.3.3. Gets
To get a single cell value, use a URL scheme like the following:
http://example.com:8000<table>/<row>/<column>:<qualifier>/<timestamp>/content:raw
The column qualifier and timestamp are optional. Without them, the whole row will be returned, or the newest version will be returned.
To get multiple single values, specify multiple column:qualifier tuples and/or a start-timestamp and end-timestamp. You can also limit the number of versions.
http://example.com:8000<table>/<row>/<column>:<qualifier>?v=<num-versions>
To scan a series of rows, you can use a * glob
character on the <row> value to glob together multiple rows.
http://example.com:8000urls/https|ad.doubleclick.net|*
2.3.4. Puts
For Puts, PUT and POST are equivalent.
The column qualifier and the timestamp are optional.
http://example.com:8000put/<table>/<row>/<column>:<qualifier>/<timestamp> http://example.com:8000test/testrow/test:testcolumn
To put multiple values, use a false row key. Row, column, and timestamp values in
the supplied cells override the specifications on the path, allowing you to post
multiple values to a table in batch. The HTTP response code indicates the status of
the put. Set the Content-Type to text/xml for XML encoding or to application/x-protobuf
for protobufs encoding. Supply the commit data in the PUT or POST body, using
the REST XML Schema and REST Protobufs Schema as guidelines.
2.3.5. Scans
PUT and POST are equivalent for scans.
To create a scanner, use the /scanner endpoint. The HTTP response code indicates
success (201) or failure (anything else), and on successful scanner creation, the
URI is returned which should be used to address the scanner.
http://example.com:8000<table>/scanner
To get the next batch of cells found by the scanner, use the /scanner/<scanner-id>'
endpoint, using the URI returned by the scanner creation endpoint. If the scanner
is exhausted, HTTP status `204 is returned.
http://example.com:8000<table>/scanner/<scanner-id>
To delete resources associated with a scanner, send a HTTP DELETE request to the
/scanner/<scanner-id> endpoint.
http://example.com:8000<table>/scanner/<scanner-id>
2.4. REST XML Schema
<schema xmlns="http://www.w3.org/2001/XMLSchema" xmlns:tns="RESTSchema">
<element name="Version" type="tns:Version"></element>
<complexType name="Version">
<attribute name="REST" type="string"></attribute>
<attribute name="JVM" type="string"></attribute>
<attribute name="OS" type="string"></attribute>
<attribute name="Server" type="string"></attribute>
<attribute name="Jersey" type="string"></attribute>
</complexType>
<element name="TableList" type="tns:TableList"></element>
<complexType name="TableList">
<sequence>
<element name="table" type="tns:Table" maxOccurs="unbounded" minOccurs="1"></element>
</sequence>
</complexType>
<complexType name="Table">
<sequence>
<element name="name" type="string"></element>
</sequence>
</complexType>
<element name="TableInfo" type="tns:TableInfo"></element>
<complexType name="TableInfo">
<sequence>
<element name="region" type="tns:TableRegion" maxOccurs="unbounded" minOccurs="1"></element>
</sequence>
<attribute name="name" type="string"></attribute>
</complexType>
<complexType name="TableRegion">
<attribute name="name" type="string"></attribute>
<attribute name="id" type="int"></attribute>
<attribute name="startKey" type="base64Binary"></attribute>
<attribute name="endKey" type="base64Binary"></attribute>
<attribute name="location" type="string"></attribute>
</complexType>
<element name="TableSchema" type="tns:TableSchema"></element>
<complexType name="TableSchema">
<sequence>
<element name="column" type="tns:ColumnSchema" maxOccurs="unbounded" minOccurs="1"></element>
</sequence>
<attribute name="name" type="string"></attribute>
<anyAttribute></anyAttribute>
</complexType>
<complexType name="ColumnSchema">
<attribute name="name" type="string"></attribute>
<anyAttribute></anyAttribute>
</complexType>
<element name="CellSet" type="tns:CellSet"></element>
<complexType name="CellSet">
<sequence>
<element name="row" type="tns:Row" maxOccurs="unbounded" minOccurs="1"></element>
</sequence>
</complexType>
<element name="Row" type="tns:Row"></element>
<complexType name="Row">
<sequence>
<element name="key" type="base64Binary"></element>
<element name="cell" type="tns:Cell" maxOccurs="unbounded" minOccurs="1"></element>
</sequence>
</complexType>
<element name="Cell" type="tns:Cell"></element>
<complexType name="Cell">
<sequence>
<element name="value" maxOccurs="1" minOccurs="1">
<simpleType><restriction base="base64Binary">
</simpleType>
</element>
</sequence>
<attribute name="column" type="base64Binary" />
<attribute name="timestamp" type="int" />
</complexType>
<element name="Scanner" type="tns:Scanner"></element>
<complexType name="Scanner">
<sequence>
<element name="column" type="base64Binary" minOccurs="0" maxOccurs="unbounded"></element>
</sequence>
<sequence>
<element name="filter" type="string" minOccurs="0" maxOccurs="1"></element>
</sequence>
<attribute name="startRow" type="base64Binary"></attribute>
<attribute name="endRow" type="base64Binary"></attribute>
<attribute name="batch" type="int"></attribute>
<attribute name="startTime" type="int"></attribute>
<attribute name="endTime" type="int"></attribute>
</complexType>
<element name="StorageClusterVersion" type="tns:StorageClusterVersion" />
<complexType name="StorageClusterVersion">
<attribute name="version" type="string"></attribute>
</complexType>
<element name="StorageClusterStatus"
type="tns:StorageClusterStatus">
</element>
<complexType name="StorageClusterStatus">
<sequence>
<element name="liveNode" type="tns:Node"
maxOccurs="unbounded" minOccurs="0">
</element>
<element name="deadNode" type="string" maxOccurs="unbounded"
minOccurs="0">
</element>
</sequence>
<attribute name="regions" type="int"></attribute>
<attribute name="requests" type="int"></attribute>
<attribute name="averageLoad" type="float"></attribute>
</complexType>
<complexType name="Node">
<sequence>
<element name="region" type="tns:Region"
maxOccurs="unbounded" minOccurs="0">
</element>
</sequence>
<attribute name="name" type="string"></attribute>
<attribute name="startCode" type="int"></attribute>
<attribute name="requests" type="int"></attribute>
<attribute name="heapSizeMB" type="int"></attribute>
<attribute name="maxHeapSizeMB" type="int"></attribute>
</complexType>
<complexType name="Region">
<attribute name="name" type="base64Binary"></attribute>
<attribute name="stores" type="int"></attribute>
<attribute name="storefiles" type="int"></attribute>
<attribute name="storefileSizeMB" type="int"></attribute>
<attribute name="memstoreSizeMB" type="int"></attribute>
<attribute name="storefileIndexSizeMB" type="int"></attribute>
</complexType>
</schema>
2.5. REST Protobufs Schema
message Version {
optional string restVersion = 1;
optional string jvmVersion = 2;
optional string osVersion = 3;
optional string serverVersion = 4;
optional string jerseyVersion = 5;
}
message StorageClusterStatus {
message Region {
required bytes name = 1;
optional int32 stores = 2;
optional int32 storefiles = 3;
optional int32 storefileSizeMB = 4;
optional int32 memstoreSizeMB = 5;
optional int32 storefileIndexSizeMB = 6;
}
message Node {
required string name = 1; // name:port
optional int64 startCode = 2;
optional int32 requests = 3;
optional int32 heapSizeMB = 4;
optional int32 maxHeapSizeMB = 5;
repeated Region regions = 6;
}
// node status
repeated Node liveNodes = 1;
repeated string deadNodes = 2;
// summary statistics
optional int32 regions = 3;
optional int32 requests = 4;
optional double averageLoad = 5;
}
message TableList {
repeated string name = 1;
}
message TableInfo {
required string name = 1;
message Region {
required string name = 1;
optional bytes startKey = 2;
optional bytes endKey = 3;
optional int64 id = 4;
optional string location = 5;
}
repeated Region regions = 2;
}
message TableSchema {
optional string name = 1;
message Attribute {
required string name = 1;
required string value = 2;
}
repeated Attribute attrs = 2;
repeated ColumnSchema columns = 3;
// optional helpful encodings of commonly used attributes
optional bool inMemory = 4;
optional bool readOnly = 5;
}
message ColumnSchema {
optional string name = 1;
message Attribute {
required string name = 1;
required string value = 2;
}
repeated Attribute attrs = 2;
// optional helpful encodings of commonly used attributes
optional int32 ttl = 3;
optional int32 maxVersions = 4;
optional string compression = 5;
}
message Cell {
optional bytes row = 1; // unused if Cell is in a CellSet
optional bytes column = 2;
optional int64 timestamp = 3;
optional bytes data = 4;
}
message CellSet {
message Row {
required bytes key = 1;
repeated Cell values = 2;
}
repeated Row rows = 1;
}
message Scanner {
optional bytes startRow = 1;
optional bytes endRow = 2;
repeated bytes columns = 3;
optional int32 batch = 4;
optional int64 startTime = 5;
optional int64 endTime = 6;
}
3. Thrift
Documentation about Thrift has moved to [thrift].
4. C/C++ Apache HBase Client
FB’s Chip Turner wrote a pure C/C++ client. Check it out.
5. Jython
5.1. Setting the Classpath
To use Jython with HBase, your CLASSPATH must include HBase’s classpath as well as
jython.jar. First, use the following command on a server running the HBase RegionServer
process, to get HBase’s classpath.
$ ps aux |grep regionserver| awk -F 'java.library.path=' {'print $2'} | awk {'print $1'}
/usr/lib/hadoop/lib/native:/usr/lib/hbase/lib/native/Linux-amd64-64
Set the $CLASSPATH environment variable to include the path you found in the previous
step, plus the path to jython.jar.
$ export CLASSPATH=$CLASSPATH:/usr/lib/hadoop/lib/native:/usr/lib/hbase/lib/native/Linux-amd64-64:/path/to/jython.jar
Start a Jython shell with HBase and Hadoop JARs in the classpath: $ bin/hbase org.python.util.jython
5.2. Jython Code Examples
The following Jython code example creates a table, populates it with data, fetches the data, and deletes the table.
import java.lang
from org.apache.hadoop.hbase import HBaseConfiguration, HTableDescriptor, HColumnDescriptor, HConstants
from org.apache.hadoop.hbase.client import HBaseAdmin, HTable, Get
from org.apache.hadoop.hbase.io import Cell, RowResult
# First get a conf object. This will read in the configuration
# that is out in your hbase-*.xml files such as location of the
# hbase master node.
conf = HBaseConfiguration()
# Create a table named 'test' that has two column families,
# one named 'content, and the other 'anchor'. The colons
# are required for column family names.
tablename = "test"
desc = HTableDescriptor(tablename)
desc.addFamily(HColumnDescriptor("content:"))
desc.addFamily(HColumnDescriptor("anchor:"))
admin = HBaseAdmin(conf)
# Drop and recreate if it exists
if admin.tableExists(tablename):
admin.disableTable(tablename)
admin.deleteTable(tablename)
admin.createTable(desc)
tables = admin.listTables()
table = HTable(conf, tablename)
# Add content to 'column:' on a row named 'row_x'
row = 'row_x'
update = Get(row)
update.put('content:', 'some content')
table.commit(update)
# Now fetch the content just added, returns a byte[]
data_row = table.get(row, "content:")
data = java.lang.String(data_row.value, "UTF8")
print "The fetched row contains the value '%s'" % data
# Delete the table.
admin.disableTable(desc.getName())
admin.deleteTable(desc.getName())
This example scans a table and returns the results that match a given family qualifier.
# Print all rows that are members of a particular column family
# by passing a regex for family qualifier
import java.lang
from org.apache.hadoop.hbase import HBaseConfiguration
from org.apache.hadoop.hbase.client import HTable
conf = HBaseConfiguration()
table = HTable(conf, "wiki")
col = "title:.*$"
scanner = table.getScanner([col], "")
while 1:
result = scanner.next()
if not result:
break
print java.lang.String(result.row), java.lang.String(result.get('title:').value)