spark SQL Running the Thrift JDBC/ODBC server
Running the Thrift JDBC/ODBC server
1:运行
./sbin/start-thriftserver.sh --hiveconf hive.server2.thrift.port=10000 --hiveconf hive.server2.thrift.bind.host=feng02 --master spark://feng02:7077 --driver-class-path /home/jifeng/hadoop/spark-1.2.0-bin-2.4.1/lib/mysql-connector-java-5.1.32-bin.jar --executor-memory 1g
端口:10000
服务器:feng02
spark master:spark://feng02:7077
driver-class-path:mysql驱动包(hive配置的)
[jifeng@feng02 spark-1.2.0-bin-2.4.1]$ ./sbin/start-thriftserver.sh --hiveconf hive.server2.thrift.port=10000 --hiveconf hive.server2.thrift.bind.host=feng02 --master spark://feng02:7077 --driver-class-path /home/jifeng/hadoop/spark-1.2.0-bin-2.4.1/lib/mysql-connector-java-5.1.32-bin.jar starting org.apache.spark.sql.hive.thriftserver.HiveThriftServer2, logging to /home/jifeng/hadoop/spark-1.2.0-bin-2.4.1/sbin/../logs/spark-jifeng-org.apache.spark.sql.hive.thriftserver.HiveThriftServer2-1-feng02.out
2:运行beeline
Now you can use beeline to test the Thrift JDBC/ODBC server:
./bin/beeline[jifeng@feng02 spark-1.2.0-bin-2.4.1]$ ./bin/beeline Spark assembly has been built with Hive, including Datanucleus jars on classpath Beeline version ??? by Apache Hive
3:连接server
参考：https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#HiveServer2Clients-BeelineExample
beeline> !connect jdbc:hive2://feng02:10000 jifeng jifeng org.apache.hive.jdbc.HiveDriver Connecting to jdbc:hive2://feng02:10000 log4j:WARN No appenders could be found for logger (org.apache.thrift.transport.TSaslTransport). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info. Connected to: Spark SQL (version 1.2.0) Driver: null (version null) Transaction isolation: TRANSACTION_REPEATABLE_READ
4：查询
0: jdbc:hive2://feng02:10000> show tables; +----------------+ | result | +----------------+ | course | | hbase_table_1 | | pokes | | student | +----------------+ 4 rows selected (2.723 seconds)
0: jdbc:hive2://feng02:10000> select * from student; +-----+----------+------+ | id | name | age | +-----+----------+------+ | 1 | nick | 24 | | 2 | doping | 25 | | 3 | caizhi | 26 | | 4 | liaozhi | 27 | | 5 | wind | 30 | +-----+----------+------+ 5 rows selected (10.554 seconds) 0: jdbc:hive2://feng02:10000> select a.*,b.* from student a join course b where a.id=b.id ; +-----+----------+------+-----+-----+-----+-----+-----+ | id | name | age | id | c1 | c2 | c3 | c4 | +-----+----------+------+-----+-----+-----+-----+-----+ | 1 | nick | 24 | 1 | 英语 | 中文 | 法文 | 日文 | | 2 | doping | 25 | 2 | 中文 | 法文 | | | | 3 | caizhi | 26 | 3 | 中文 | 法文 | 日文 | | | 4 | liaozhi | 27 | 4 | 中文 | 法文 | 拉丁 | | | 5 | wind | 30 | 5 | 中文 | 法文 | 德文 | | +-----+----------+------+-----+-----+-----+-----+-----+ 5 rows selected (2.33 seconds)
4:Java JDBC连接
package demo.test;
import java.sql.*;
public class Pretest {
public static void main( String args[] )
throws SQLException , ClassNotFoundException {
String jdbcdriver="org.apache.hive.jdbc.HiveDriver";
String jdbcurl="jdbc:hive2://feng02:10000";
String username="scott";
String password="tiger";
Class.forName(jdbcdriver);
Connection c = DriverManager.getConnection(jdbcurl,username,password);
Statement st = c.createStatement();
print( "num should be 1 " , st.executeQuery("select * from student"));
// TODO indexing
}
static void print( String name , ResultSet res )
throws SQLException {
System.out.println( name);
ResultSetMetaData meta=res.getMetaData();
//System.out.println( "\t"+res.getRow()+"条记录");
String str="";
for(int i=1;i<=meta.getColumnCount();i++){
str+=meta.getColumnName(i)+" ";
//System.out.println( meta.getColumnName(i)+" ");
}
System.out.println("\t"+str);
str="";
while ( res.next() ){
for(int i=1;i<=meta.getColumnCount();i++){
str+= res.getString(i)+" "; }
System.out.println("\t"+str);
str="";
}
}
}
上面是运行参数
结果显示：
num should be 1 id name age 1 nick 24 2 doping 25 3 caizhi 26 4 liaozhi 27 5 wind 30