SequoiaDB與Hadoop在物理上部署方案以下圖所示,部署建議以下: java
l SequoiaDB與Hadoop部署在相同的物理設備上,以減小Hadoop與SequoiaDB之間的網絡數據傳輸; shell
l 每一個物理設備上都部署一個協調節點和多個數據節點,編目節點可選在任意三臺物理設備各部署一個編目節點; 網絡
n Hive 0.11.0 app
n Hive 0.10.0 jsp
<property> oop
<name>hive.aux.jars.path</name> <value>file:///opt/hive/lib/hive-sequoiadb.jar,file:///opt/hive/lib/sdbdirver.jar</value> spa
<description>Sequoiadb store handler jar file</description> 命令行
</property> orm
<property> xml
<name> hive.auto.convert.join</name>
<value>false</value>
</property>
啓動hive shell 命令行窗口,執行以下命令建立數據表;
hive> create external table sdb_tab(id INT, name STRING, value DOUBLE) stored by 「com.sequoiadb.hive.SdbHiveStorageHandler」 tblproperties(「sdb.address」 = 「localhost:50000」;)
OK
Time taken: 0.386 seconds
其中:
Sdb.address 用於指定SequoiaDB協調節點的IP和端口,若是有多個協調節點,能夠寫入多個,之間用逗號隔開;
hive> insert overwrite table sdb_tab select * from hdfs_tab;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there’s no reduce operator
Starting Job = job_201310172156_0010, Tracking URL = http://bl465-5:50030/jobdetails.jsp?jobid=job_201310172156_0010
Kill Command = /opt/hadoop-hive/hadoop-1.2.1/libexec/../bin/hadoop job -kill job_201310172156_0010
Hadoop job information for Stage-0: number of mappers: 1; number of reducers: 0
2013-10-18 04:44:47,733 Stage-0 map = 0%, reduce = 0%
2013-10-18 04:44:49,763 Stage-0 map = 100%, reduce = 0%, Cumulative CPU 1.85 sec
2013-10-18 04:44:50,777 Stage-0 map = 100%, reduce = 0%, Cumulative CPU 1.85 sec
2013-10-18 04:44:51,795 Stage-0 map = 100%, reduce = 100%, Cumulative CPU 1.85 sec
MapReduce Total cumulative CPU time: 1 seconds 850 msec
Ended Job = job_201310172156_0010
10 Rows loaded to sdb_tab
MapReduce Jobs Launched:
Job 0: Map: 1 Cumulative CPU: 1.85 sec HDFS Read: 2301 HDFS Write: 0 SUCCESS
Total MapReduce CPU Time Spent: 1 seconds 850 msec
OK
Time taken: 12.201 seconds
說明:在導入數據到SequoiaDB表以前,請確保已經建立基於HDFS文件的 hdfs_tab數據表,並Load了數據;
hive> select * from new_tab;
OK
0 false 0.0 ALGERIA
1 true 1.0 ARGENTINA
2 true 1.0 BRAZIL
3 true 1.0 CANADA
4 true 4.0 EGYPT
5 false 0.0 ETHIOPIA
6 true 3.0 FRANCE
7 true 3.0 GERMANY
8 true 2.0 INDIA
9 true 2.0 INDONESIA
Time taken: 0.306 seconds, Fetched: 10 row(s)