如何从java程序创建hive表

时间：2014-08-13 06:03:39

标签： hadoop jdbc hive

我从Apache水槽收集了一些twitter数据，并使用这个hive quire在hive Metastore中存储数据.... 

CREATE EXTERNAL TABLE tweets (

    id BIGINT,
    created_at STRING,
    source STRING,
    favorited BOOLEAN,
    retweet_count INT,
    retweeted_status STRUCT<
      text:STRING,
      user:STRUCT<screen_name:STRING,name:STRING>>,
    entities STRUCT<
      urls:ARRAY<STRUCT<expanded_url:STRING>>,
      user_mentions:ARRAY<STRUCT<screen_name:STRING,name:STRING>>,
      hashtags:ARRAY<STRUCT<text:STRING>>>,
    text STRING,
      user STRUCT<
      screen_name:STRING,
      name:STRING,
      friends_count:INT,
      followers_count:INT,
      statuses_count:INT,
      verified:BOOLEAN,
      utc_offset:INT,
      time_zone:STRING>,
     in_reply_to_screen_name STRING
    )
ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe'
LOCATION '/user/flume/tweets';

现在同一个表我想从java程序创建我已经配置了hive jdbc连接，我能够在hive中创建简单的表但是如何创建这个表... 我尝试了这个java代码，但它不起作用...... 

import java.sql.SQLException;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;
import java.sql.DriverManager;

public class HiveJdbcClient {
    private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";

    public static void main(String[] args) throws SQLException {

    try {
        Class.forName(driverName);
    } catch (ClassNotFoundException e){
        // TODO Auto-generated catch block
        e.printStackTrace();
        System.exit(1);
    }

    Connection con = DriverManager.getConnection("jdbc:hive://master:10000/default", "", "");
    Statement stmt = con.createStatement();
    String tableName = "tweets";
    stmt.executeQuery("drop table " + tableName);
    stmt.executeQuery("ADD JAR /home/dsri/hadoop_home/hive/lib/hive-serdes-1.0-SNAPSHOT.jar");

        ResultSet res = stmt.executeQuery("create table " + tableName + " (id BIGINT,created_at STRING,source STRING,favorited BOOLEAN,retweet_count INT,retweeted_status STRUCT<text:STRING,user:STRUCT<screen_name:STRING,name:STRING>>,entities STRUCT<urls:ARRAY<STRUCT<expanded_url:STRING>>,user_mentions:ARRAY<STRUCT<screen_name:STRING,name:STRING>>,hashtags:ARRAY<STRUCT<text:STRING>>>,text STRING,user STRUCT<screen_name:STRING,name:STRING,friends_count:INT,followers_count:INT,statuses_count:INT,verified:BOOLEAN,utc_offset:INT,time_zone:STRING>,in_reply_to_screen_name STRING) ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe' LOCATION '/user/flume/tweets'");

    // show tables

    String sql = "show tables '" + tableName + "'";
    System.out.println("Running: " + sql);
    res = stmt.executeQuery(sql);

    if (res.next()) {
        System.out.println(res.getString(1));
    }

    // describe table
    sql = "describe " + tableName;
    System.out.println("Running: " + sql);  
    res = stmt.executeQuery(sql);
    while (res.next()) {
        System.out.println(res.getString(1) + "\t" + res.getString(2));
    }
    // select * query
    sql = "select * from " + tableName;
    sql = "SELECT entities.user_mentions[0].screen_name , text , created_at FROM  " + tableName;

    System.out.println("Running: " + sql);
    res = stmt.executeQuery(sql);
    while (res.next()){
        System.out.println(String.valueOf(res.getInt(1)) + "\t" + res.getString(2));
    }

    // regular hive query
    sql = "select count(1) from " + tableName;
    System.out.println("Running: " + sql);
    res = stmt.executeQuery(sql);
    while (res.next()){
        System.out.println(res.getString(1));
    }
    }
}

这是我从eclipse的输出.. 

Running: show tables 'tweets'
tweets
Running: describe tweets
id                      bigint              
created_at              string              
source                  string              
favorited               boolean             
retweet_count           int                 
retweeted_status        struct<text:string,user:struct<screen_name:string,name:string>>
entities                struct<urls:array<struct<expanded_url:string>>,user_mentions:array<struct<screen_name:string,name:string>>,hashtags:array<struct<text:string>>>
text                    string              
user                    struct<screen_name:string,name:string,friends_count:int,followers_count:int,statuses_count:int,verified:boolean,utc_offset:int,time_zone:string>
in_reply_to_screen_name string              
Running: SELECT entities.user_mentions[0].screen_name , text , created_at FROM  tweets
Exception in thread "main" java.sql.SQLException: Query returned non-zero code: 1, cause: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
    at org.apache.hadoop.hive.jdbc.HiveStatement.executeQuery(HiveStatement.java:194)
    at HiveJdbcClient.main(HiveJdbcClient.java:48)

这是我的蜂巢命令.. 

hive> show tables;
OK
Time taken: 0.009 seconds
hive> SELECT entities.user_mentions[0].screen_name , text , created_at FROM tweets;
FAILED: SemanticException [Error 10001]: Line 1:70 Table not found 'tweets'
hive>

这是我的错误日志... 

2014-08-13 11:45:25,442 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting DataNode STARTUP_MSG: host = master/192.168.1.149 STARTUP_MSG: args = [] STARTUP_MSG: version = 1.2.1 STARTUP_MSG: build = https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r 1503152; compiled by 'mattf' on Mon Jul 22 15:23:09 PDT 2013 STARTUP_MSG: java = 1.7.0_65 ************************************************************/ 2014-08-13 11:45:26,499 INFO org.apache.hadoop.metrics2.impl.MetricsConfig: loaded properties from hadoop-metrics2.properties 2014-08-13 11:45:26,550 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source MetricsSystem,sub=Stats registered. 2014-08-13 11:45:26,568 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: Scheduled snapshot period at 10 second(s). 2014-08-13 11:45:26,568 INFO org.apache.hadoop.metrics2.impl.MetricsSystemImpl: DataNode metrics system started 2014-08-13 11:45:26,719 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source ugi registered. 2014-08-13 11:45:28,212 INFO org.apache.hadoop.ipc.Client: Retrying connect to server: master/192.168.1.149:9000. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1 SECONDS) 2014-08-13 11:45:29,569 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Registered FSDatasetStatusMBean 2014-08-13 11:45:29,580 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Opened data transfer server at 50010 2014-08-13 11:45:29,583 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Balancing bandwith is 1048576 bytes/s 2014-08-13 11:45:29,592 INFO org.apache.hadoop.util.NativeCodeLoader: Loaded the native-hadoop library 2014-08-13 11:45:29,749 INFO org.mortbay.log: Logging to org.slf4j.impl.Log4jLoggerAdapter(org.mortbay.log) via org.mortbay.log.Slf4jLog 2014-08-13 11:45:29,831 INFO org.apache.hadoop.http.HttpServer: Added global filtersafety (class=org.apache.hadoop.http.HttpServer$QuotingInputFilter) 2014-08-13 11:45:29,843 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: dfs.webhdfs.enabled = false 2014-08-13 11:45:29,843 INFO org.apache.hadoop.http.HttpServer: Port returned by webServer.getConnectors()[0].getLocalPort() before open() is -1. Opening the listener on 50075 2014-08-13 11:45:29,844 INFO org.apache.hadoop.http.HttpServer: listener.getLocalPort() returned 50075 webServer.getConnectors()[0].getLocalPort() returned 50075 2014-08-13 11:45:29,844 INFO org.apache.hadoop.http.HttpServer: Jetty bound to port 50075 2014-08-13 11:45:29,844 INFO org.mortbay.log: jetty-6.1.26 2014-08-13 11:45:29,909 WARN org.mortbay.log: Can't reuse /tmp/Jetty_0_0_0_0_50075_datanode____hwtdwq, using /tmp/Jetty_0_0_0_0_50075_datanode____hwtdwq_3155498714007559135 2014-08-13 11:45:30,222 INFO org.mortbay.log: Started SelectChannelConnector@0.0.0.0:50075 2014-08-13 11:45:30,228 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source jvm registered. 2014-08-13 11:45:30,229 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source DataNode registered. 2014-08-13 11:45:30,357 INFO org.apache.hadoop.ipc.Server: Starting SocketReader 2014-08-13 11:45:30,359 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source RpcDetailedActivityForPort50020 registered. 2014-08-13 11:45:30,359 INFO org.apache.hadoop.metrics2.impl.MetricsSourceAdapter: MBean for source RpcActivityForPort50020 registered. 2014-08-13 11:45:30,360 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: dnRegistration = DatanodeRegistration(master:50010, storageID=DS-879125703-192.168.1.149-50010-1407740625881, infoPort=50075, ipcPort=50020) 2014-08-13 11:45:30,368 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Finished generating blocks being written report for 1 volumes in 0 seconds 2014-08-13 11:45:30,374 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: DatanodeRegistration(192.168.1.149:50010, storageID=DS-879125703-192.168.1.149-50010-1407740625881, infoPort=50075, ipcPort=50020)In DataNode.run, data = FSDataset{dirpath='/home/dsri/hadoop_home/hdfs/data/current'} 2014-08-13 11:45:30,376 INFO org.apache.hadoop.ipc.Server: IPC Server Responder: starting 2014-08-13 11:45:30,376 INFO org.apache.hadoop.ipc.Server: IPC Server listener on 50020: starting 2014-08-13 11:45:30,380 INFO org.apache.hadoop.ipc.Server: IPC Server handler 0 on 50020: starting 2014-08-13 11:45:30,380 INFO org.apache.hadoop.ipc.Server: IPC Server handler 1 on 50020: starting 2014-08-13 11:45:30,380 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: using BLOCKREPORT_INTERVAL of 3600000msec Initial delay: 0msec 2014-08-13 11:45:30,380 INFO org.apache.hadoop.ipc.Server: IPC Server handler 2 on 50020: starting 2014-08-13 11:45:30,386 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Starting Periodic block scanner 2014-08-13 11:45:30,412 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Finished asynchronous block report scan in 39ms 2014-08-13 11:45:30,426 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Generated rough (lockless) block report in 39 ms 2014-08-13 11:45:30,593 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded blk_7678010998501164699_1225 2014-08-13 11:45:33,413 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: BlockReport of 67 blocks took 1 msec to generate and 31 msecs for RPC and NN processing 2014-08-13 11:46:04,361 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving blk_6701685767905484268_1233 src: /192.168.1.149:41509 dest: /192.168.1.149:50010 2014-08-13 11:46:04,373 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:41509, dest: /192.168.1.149:50010, bytes: 4, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_-31599147_1, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_6701685767905484268_1233, duration: 2171111 2014-08-13 11:46:04,374 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for blk_6701685767905484268_1233 terminating 2014-08-13 11:46:09,433 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Scheduling blk_-2344105609722430974_1138 file /home/dsri/hadoop_home/hdfs/data/current/blk_-2344105609722430974 for deletion 2014-08-13 11:46:09,436 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Deleted blk_-2344105609722430974_1138 at file /home/dsri/hadoop_home/hdfs/data/current/blk_-2344105609722430974 2014-08-13 11:55:30,921 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded blk_-1108348089739196334_1172 2014-08-13 12:05:31,094 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded blk_5256405114478241653_1210 2014-08-13 12:15:28,096 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Finished asynchronous block report scan in 13ms 2014-08-13 12:15:31,094 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: BlockReport of 67 blocks took 2 msec to generate and 9 msecs for RPC and NN processing 2014-08-13 12:15:31,344 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded blk_8446056606266340583_1232 2014-08-13 12:25:31,536 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded blk_5394846158629276502_1227 2014-08-13 12:35:30,768 INFO org.apache.hadoop.hdfs.server.datanode.DataBlockScanner: Verification succeeded blk_-7678390392278116211_1217 2014-08-13 12:36:48,828 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving blk_9102789706813495699_1234 src: /192.168.1.149:41841 dest: /192.168.1.149:50010 2014-08-13 12:36:48,846 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:41841, dest: /192.168.1.149:50010, bytes: 43687, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_1974987965_59, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_9102789706813495699_1234, duration: 14107906 2014-08-13 12:36:48,847 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for blk_9102789706813495699_1234 terminating 2014-08-13 12:36:52,586 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Scheduling blk_9102789706813495699_1234 file /home/dsri/hadoop_home/hdfs/data/current/blk_9102789706813495699 for deletion 2014-08-13 12:36:52,588 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Deleted blk_9102789706813495699_1234 at file /home/dsri/hadoop_home/hdfs/data/current/blk_9102789706813495699 2014-08-13 12:38:25,471 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Receiving blk_-8559721137063489651_1235 src: /192.168.1.149:41851 dest: /192.168.1.149:50010 2014-08-13 12:38:25,480 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:41851, dest: /192.168.1.149:50010, bytes: 43697, op: HDFS_WRITE, cliID: DFSClient_NONMAPREDUCE_-1880596955_73, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-8559721137063489651_1235, duration: 5524824 2014-08-13 12:38:25,481 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: PacketResponder 0 for blk_-8559721137063489651_1235 terminating 2014-08-13 12:38:28,618 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Scheduling blk_-8559721137063489651_1235 file /home/dsri/hadoop_home/hdfs/data/current/blk_-8559721137063489651 for deletion 2014-08-13 12:38:28,619 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Deleted blk_-8559721137063489651_1235 at file /home/dsri/hadoop_home/hdfs/data/current/blk_-8559721137063489651 2014-08-13 12:43:08,572 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41900, bytes: 4607, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-8117981694073621746_1024, duration: 17721602 2014-08-13 12:43:08,706 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41901, bytes: 7511, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-3374472984587794400_1025, duration: 1448070 2014-08-13 12:43:08,729 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41902, bytes: 2350, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-7381104273799398401_1026, duration: 1533110 2014-08-13 12:43:08,740 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41903, bytes: 2302, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_6184311917214209923_1027, duration: 1381655 2014-08-13 12:43:08,752 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41904, bytes: 2147, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-2011448124616450527_1028, duration: 1404959 2014-08-13 12:43:08,764 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41905, bytes: 2294, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_898700835338503777_1029, duration: 1387014 2014-08-13 12:43:08,778 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41906, bytes: 4360, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-2958582349124052196_1030, duration: 1425325 2014-08-13 12:43:08,797 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41907, bytes: 5017, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-1045529804523469699_1031, duration: 1452300 2014-08-13 12:43:08,815 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41908, bytes: 11382, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid: blk_-3752408366748461603_1032, duration: 1452505 2014-08-13 12:43:08,834 INFO org.apache.hadoop.hdfs.server.datanode.DataNode.clienttrace: src: /192.168.1.149:50010, dest: /192.168.1.149:41909, bytes: 2812, op: HDFS_READ, cliID: DFSClient_NONMAPREDUCE_-1203793785_100, offset: 0, srvID: DS-879125703-192.168.1.149-50010-1407740625881, blockid:

3 个答案:

答案 0 :(得分：1)

根据您的要求，您需要创建外部配置单元表。但是根据您的代码，您要创建内部表（缺少外部关键字）：

 ResultSet res = stmt.executeQuery("create table " + tableName + " (id BIGINT,created_at STRING,source STRING,favorited BOOLEAN,retweet_count INT,retweeted_status STRUCT<text:STRING,user:STRUCT<screen_name:STRING,name:STRING>>,entities STRUCT<urls:ARRAY<STRUCT<expanded_url:STRING>>,user_mentions:ARRAY<STRUCT<screen_name:STRING,name:STRING>>,hashtags:ARRAY<STRUCT<text:STRING>>>,text STRING,user STRUCT<screen_name:STRING,name:STRING,friends_count:INT,followers_count:INT,statuses_count:INT,verified:BOOLEAN,utc_offset:INT,time_zone:STRING>,in_reply_to_screen_name STRING) ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe' LOCATION '/user/flume/tweets'");

同样根据这些link您无法使用Hive JDBC创建外部表，因为您需要Hive CliDriver类。但我建议您首先在代码中更改上述查询并尝试一次。

答案 1 :(得分：0)

在hive-site.xml中更改本地Metastore或远程Metastore模式.Not Embedded Metoreore。

http://saurzcode.in/2015/01/configure-mysql-metastore-hive/

答案 2 :(得分：0)

首先需要设置用户/密码才能在db结构中进行更改，然后你应该通过stmt.execute更改stmt.executeQuery，因为＆＃34; create table＆＃34;查询将抛出异常而不返回结果。

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