Sqoop 1.99.3 配置

 

1:解压

 

 

    [yy@feixiang ~]$ tar zxf sqoop-1.99.3-bin-hadoop100.tar.gz   

    [yy@feixiang ~]$ ls  

    apache-ant-1.9.4             hbase-0.94.21.tar.gz                 sqoop-1.99.3-bin-hadoop100  

    apache-ant-1.9.4-bin.tar.gz  input                                sqoop-1.99.3-bin-hadoop100.tar.gz  

    Desktop                      jdk1.7.0_45                          VirtualBox-4.3-4.3.8_92456_el5-1.x86_64.rpm  

    hadoop                       jdk-7u45-linux-x64.gz                zookeeper-3.4.6  

    hadoop-core-1.0.4.jar        mysql-connector-java-5.1.10-bin.jar  zookeeper-3.4.6.tar.gz  

    hbase-0.94.21                  

 

 

2:配置环境

 

 

 

    [yy@feixiang ~]$ cat .bash_profile  

    # .bash_profile  

      

    # Get the aliases and functions  

    if [ -f ~/.bashrc ]; then  

            . ~/.bashrc  

    fi  

      

    # User specific environment and startup programs  

      

    PATH=$PATH:$HOME/bin  

      

    export PATH  

    export JAVA_HOME=$HOME/jdk1.7.0_45  

    export PATH=$JAVA_HOME/bin:$PATH  

    export CLASSPATH=.:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar  

    export HADOOP_HOME=$HOME/hadoop/hadoop-1.2.1  

    export ANT_HOME=$HOME/apache-ant-1.9.4  

    export HBASE_HOME=$HOME/hbase-0.94.21  

    export SQOOP_HOME=$HOME/sqoop-1.99.3-bin-hadoop100  

    export CATALINA_HOME=$SQOOP_HOME/server  

    export LOGDIR=$SQOOP_HOME/logs  

      

    export PATH=$PATH:$ANT_HOME/bin:$HBASE_HOME/bin:$SQOOP_HOME/bin  

    [yy@feixiang ~]$ source .bash_profile  

 

 

3：Sqoop配置

 

 

 

    [yy@feixiang sqoop-1.99.3-bin-hadoop100]$ cat ./server/conf/sqoop.properties   

    #  

    # Licensed to the Apache Software Foundation (ASF) under one or more  

    # contributor license agreements.  See the NOTICE file distributed with  

    # this work for additional information regarding copyright ownership.  

    # The ASF licenses this file to You under the Apache License, Version 2.0  

    # (the "License"); you may not use this file except in compliance with  

    # the License.  You may obtain a copy of the License at  

    #  

    #     http://www.apache.org/licenses/LICENSE-2.0  

    #  

    # Unless required by applicable law or agreed to in writing, software  

    # distributed under the License is distributed on an "AS IS" BASIS,  

    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  

    # See the License for the specific language governing permissions and  

    # limitations under the License.  

    #  

      

    #  

    # Sqoop configuration file used by the built in configuration  

    # provider: org.apache.sqoop.core.PropertiesConfigurationProvider.  

    # This file must reside in the system configuration directory  

    # which is specified by the system property "sqoop.config.dir"  

    # and must be called sqoop.properties.  

    #  

    # NOTE: Tokens specified in this file that are marked by a  

    # leading and trailing '@' characters should be replaced by  

    # their appropriate values. For example, the token @LOGDIR@  

    # should be replaced  appropriately.  

    #  

    # The following tokens are used in this configuration file:  

    #  

    # LOGDIR  

    #   The absolute path to the directory where system genearated  

    #   log files will be kept.  

    #  

    # BASEDIR  

    #   The absolute path to the directory where Sqoop 2 is installed  

    #  

      

    #  

    # Logging Configuration  

    # Any property that starts with the prefix  

    # org.apache.sqoop.log4j is parsed out by the configuration  

    # system and passed to the log4j subsystem. This allows you  

    # to specify log4j configuration properties from within the  

    # Sqoop configuration.  

    #  

    org.apache.sqoop.log4j.appender.file=org.apache.log4j.RollingFileAppender  

    org.apache.sqoop.log4j.appender.file.File=@LOGDIR@/sqoop.log  

    org.apache.sqoop.log4j.appender.file.MaxFileSize=25MB  

    org.apache.sqoop.log4j.appender.file.MaxBackupIndex=5  

    org.apache.sqoop.log4j.appender.file.layout=org.apache.log4j.PatternLayout  

    org.apache.sqoop.log4j.appender.file.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} [%l] %m%n  

    org.apache.sqoop.log4j.debug=true  

    org.apache.sqoop.log4j.rootCategory=WARN, file  

    org.apache.sqoop.log4j.category.org.apache.sqoop=DEBUG  

    org.apache.sqoop.log4j.category.org.apache.derby=INFO  

      

    #  

    # Audit Loggers Configuration  

    # Multiple audit loggers could be given here. To specify an  

    # audit logger, you should at least add org.apache.sqoop.  

    # auditlogger.[LoggerName].class. You could also provide  

    # more configuration options by using org.apache.sqoop.  

    # auditlogger.[LoggerName] prefix, then all these options  

    # are parsed to the logger class.  

    #  

    org.apache.sqoop.auditlogger.default.class=org.apache.sqoop.audit.FileAuditLogger  

    org.apache.sqoop.auditlogger.default.file=@LOGDIR@/default.audit  

      

    #  

    # Repository configuration  

    # The Repository subsystem provides the special prefix which  

    # is "org.apache.sqoop.repository.sysprop". Any property that  

    # is specified with this prefix is parsed out and set as a  

    # system property. For example, if the built in Derby repository  

    # is being used, the sysprop prefixed properties can be used  

    # to affect Derby configuration at startup time by setting  

    # the appropriate system properties.  

    #  

      

    # Repository provider  

    org.apache.sqoop.repository.provider=org.apache.sqoop.repository.JdbcRepositoryProvider  

    org.apache.sqoop.repository.schema.immutable=false  

      

    # JDBC repository provider configuration  

    org.apache.sqoop.repository.jdbc.handler=org.apache.sqoop.repository.derby.DerbyRepositoryHandler  

    org.apache.sqoop.repository.jdbc.transaction.isolation=READ_COMMITTED  

    org.apache.sqoop.repository.jdbc.maximum.connections=10  

    org.apache.sqoop.repository.jdbc.url=jdbc:derby:@BASEDIR@/repository/db;create=true  

    org.apache.sqoop.repository.jdbc.driver=org.apache.derby.jdbc.EmbeddedDriver  

    org.apache.sqoop.repository.jdbc.user=sa  

    org.apache.sqoop.repository.jdbc.password=  

      

    # System properties for embedded Derby configuration  

    org.apache.sqoop.repository.sysprop.derby.stream.error.file=@LOGDIR@/derbyrepo.log  

      

    #  

    # Connector configuration  

    #  

    org.apache.sqoop.connector.autoupgrade=false  

      

    #  

    # Framework configuration  

    #  

    org.apache.sqoop.framework.autoupgrade=false  

      

    # Sleeping period for reloading configuration file (once a minute)  

    org.apache.sqoop.core.configuration.provider.properties.sleep=60000  

      

    #  

    # Submission engine configuration  

    #  

      

    # Submission engine class  

    org.apache.sqoop.submission.engine=org.apache.sqoop.submission.mapreduce.MapreduceSubmissionEngine  

      

    # Number of milliseconds, submissions created before this limit will be removed, default is one day  

    #org.apache.sqoop.submission.purge.threshold=  

      

    # Number of milliseconds for purge thread to sleep, by default one day  

    #org.apache.sqoop.submission.purge.sleep=  

      

    # Number of milliseconds for update thread to sleep, by default 5 minutes  

    #org.apache.sqoop.submission.update.sleep=  

      

    #  

    # Configuration for Mapreduce submission engine (applicable if it's configured)  

    #  

      

    # Hadoop configuration directory  

    org.apache.sqoop.submission.engine.mapreduce.configuration.directory=/home/jifeng/hadoop/hadoop-1.2.1/conf/  

      

    #  

    # Execution engine configuration  

    #  

    org.apache.sqoop.execution.engine=org.apache.sqoop.execution.mapreduce.MapreduceExecutionEngine  

    [yy@feixiang sqoop-1.99.3-bin-hadoop100]$   

 

修改倒数第7行为hadoop的安装目录

 

 

修改catalina.properties

 

[yy@feixiang sqoop-1.99.3-bin-hadoop100]$ vi ./server/conf/catalina.properties

 

 

 

    common.loader=${catalina.base}/lib,${catalina.base}/lib/*.jar,${catalina.home}/lib,${catalina.home}/lib/*.jar,${  

    catalina.home}/../lib/*.jar,/home/jifeng/hadoop/hadoop-1.2.1/lib/*.jar,/home/jifeng/hadoop/hadoop-1.2.1/*.jar  

 

配置hadoop的jar目录

 

4：copymysql-connector-java-5.1.10-bin.jar

 

[yy@feixiang ~]$ cp mysql-connector-java-5.1.10-bin.jar sqoop-1.99.3-bin-hadoop100/server/lib/

 

 

5:启动停止sqoop

 

sqoop.sh server start/stop

 

 

 

    [yy@feixiang bin]$ ./sqoop.sh server start  

    Sqoop home directory: /home/jifeng/sqoop-1.99.3-bin-hadoop100  

    Setting SQOOP_HTTP_PORT:     12000  

    Setting SQOOP_ADMIN_PORT:     12001  

    Using   CATALINA_OPTS:         

    Adding to CATALINA_OPTS:    -Dsqoop.http.port=12000 -Dsqoop.admin.port=12001  

    Using CATALINA_BASE:   /home/jifeng/sqoop-1.99.3-bin-hadoop100/server  

    Using CATALINA_HOME:   /home/jifeng/sqoop-1.99.3-bin-hadoop100/server  

    Using CATALINA_TMPDIR: /home/jifeng/sqoop-1.99.3-bin-hadoop100/server/temp  

    Using JRE_HOME:        /home/jifeng/jdk1.7.0_45  

    Using CLASSPATH:       /home/jifeng/sqoop-1.99.3-bin-hadoop100/server/bin/bootstrap.jar  

    [yy@feixiang bin]$ ./sqoop.sh server stop  

    Sqoop home directory: /home/jifeng/sqoop-1.99.3-bin-hadoop100  

    Setting SQOOP_HTTP_PORT:     12000  

    Setting SQOOP_ADMIN_PORT:     12001  

    Using   CATALINA_OPTS:         

    Adding to CATALINA_OPTS:    -Dsqoop.http.port=12000 -Dsqoop.admin.port=12001  

    Using CATALINA_BASE:   /home/jifeng/sqoop-1.99.3-bin-hadoop100/server  

    Using CATALINA_HOME:   /home/jifeng/sqoop-1.99.3-bin-hadoop100/server  

    Using CATALINA_TMPDIR: /home/jifeng/sqoop-1.99.3-bin-hadoop100/server/temp  

    Using JRE_HOME:        /home/jifeng/jdk1.7.0_45  

    Using CLASSPATH:       /home/jifeng/sqoop-1.99.3-bin-hadoop100/server/bin/bootstrap.jar  

    八月 17, 2015 9:47:20 下午 org.apache.catalina.startup.ClassLoaderFactory validateFile  

    警告: Problem with directory [/home/jifeng/sqoop-1.99.3-bin-hadoop100/lib], exists: [true], isDirectory: [false], canRead: [true]  

 

 

6:Sqoop客户端

 

进入客户端

 

 

 

    [yy@feixiang sqoop-1.99.3-bin-hadoop100]$ ./bin/sqoop.sh client   

    Sqoop home directory: /home/jifeng/sqoop-1.99.3-bin-hadoop100  

    Sqoop Shell: Type 'help' or '\h' for help.  

      

    sqoop:000>   

 

为客户端配置服务器

 

 

 

    sqoop:000> set server --host jifeng01 --port 12000 --webapp sqoop  

    Server is set successfully  

 

 

查看版本信息

 

 

 

    sqoop:000> show version --all  

    client version:  

      Sqoop 1.99.3 revision 2404393160301df16a94716a3034e31b03e27b0b   

      Compiled by mengweid on Fri Oct 18 14:51:11 EDT 2013  

    server version:  

      Sqoop 1.99.3 revision 2404393160301df16a94716a3034e31b03e27b0b   

      Compiled by mengweid on Fri Oct 18 14:51:11 EDT 2013  

    Protocol version:  

      [1]  

    sqoop:000>   

 

查看连接器

 

 

 

    sqoop:000> show connector --all  

    1 connector(s) to show:   

    Connector with id 1:  

      Name: generic-jdbc-connector   

     Class: org.apache.sqoop.connector.jdbc.GenericJdbcConnector  

      Version: 1.99.3  

      Supported job types: [IMPORT, EXPORT]  

        Connection form 1:  

          Name: connection  

          Label: Connection configuration  

          Help: You must supply the information requested in order to create a connection object.  

          Input 1:  

            Name: connection.jdbcDriver  

            Label: JDBC Driver Class  

            Help: Enter the fully qualified class name of the JDBC driver that will be used for establishing this connection.  

            Type: STRING  

            Sensitive: false  

            Size: 128  

          Input 2:  

            Name: connection.connectionString  

            Label: JDBC Connection String  

            Help: Enter the value of JDBC connection string to be used by this connector for creating connections.  

            Type: STRING  

            Sensitive: false  

            Size: 128  

          Input 3:  

            Name: connection.username  

            Label: Username  

            Help: Enter the username to be used for connecting to the database.  

            Type: STRING  

            Sensitive: false  

            Size: 40  

          Input 4:  

            Name: connection.password  

            Label: Password  

            Help: Enter the password to be used for connecting to the database.  

            Type: STRING  

            Sensitive: true  

            Size: 40  

          Input 5:  

            Name: connection.jdbcProperties  

            Label: JDBC Connection Properties  

            Help: Enter any JDBC properties that should be supplied during the creation of connection.  

            Type: MAP  

            Sensitive: false  

      Forms for job type IMPORT:  

        Job form 1:  

          Name: table  

          Label: Database configuration  

          Help: You must supply the information requested in order to create a job object.  

          Input 1:  

            Name: table.schemaName  

            Label: Schema name  

            Help: Schema name to process data in the remote database  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 2:  

            Name: table.tableName  

            Label: Table name  

            Help: Table name to process data in the remote database  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 3:  

            Name: table.sql  

            Label: Table SQL statement  

            Help: SQL statement to process data in the remote database  

            Type: STRING  

            Sensitive: false  

            Size: 2000  

          Input 4:  

            Name: table.columns  

            Label: Table column names  

            Help: Specific columns of a table name or a table SQL  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 5:  

            Name: table.partitionColumn  

            Label: Partition column name  

            Help: A specific column for data partition  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 6:  

            Name: table.partitionColumnNull  

            Label: Nulls in partition column  

            Help: Whether there are null values in partition column  

            Type: BOOLEAN  

            Sensitive: false  

          Input 7:  

            Name: table.boundaryQuery  

            Label: Boundary query  

            Help: The boundary query for data partition  

            Type: STRING  

            Sensitive: false  

            Size: 50  

      Forms for job type EXPORT:  

        Job form 1:  

          Name: table  

          Label: Database configuration  

          Help: You must supply the information requested in order to create a job object.  

          Input 1:  

            Name: table.schemaName  

            Label: Schema name  

            Help: Schema name to process data in the remote database  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 2:  

            Name: table.tableName  

            Label: Table name  

            Help: Table name to process data in the remote database  

            Type: STRING  

            Sensitive: false  

            Size: 2000  

          Input 3:  

            Name: table.sql  

            Label: Table SQL statement  

            Help: SQL statement to process data in the remote database  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 4:  

            Name: table.columns  

            Label: Table column names  

            Help: Specific columns of a table name or a table SQL  

            Type: STRING  

            Sensitive: false  

            Size: 50  

          Input 5:  

            Name: table.stageTableName  

            Label: Stage table name  

            Help: Name of the stage table to use  

            Type: STRING  

            Sensitive: false  

            Size: 2000  

          Input 6:  

            Name: table.clearStageTable  

            Label: Clear stage table  

            Help: Indicate if the stage table should be cleared  

            Type: BOOLEAN  

            Sensitive: false  

    sqoop:000>   

 

7：导入MYSQL数据：

 

a:创建数据库连接：

 

 

    sqoop:000> create connection --cid 1  

    Creating connection for connector with id 1  

    Please fill following values to create new connection object  

    Name: mysql  --输入名称  

      

    Connection configuration  

      

    JDBC Driver Class: com.mysql.jdbc.Driver  --输入  

    JDBC Connection String: jdbc:mysql://10.6.3.241:3306/lir?createDatabaseIfNotExist=true --输入  

    Username: dss --输入  

    Password: ****** --输入  

    JDBC Connection Properties:   

    There are currently 0 values in the map:  

    entry#   

      

    Security related configuration options  

      

    Max connections: 500 --输入  

    New connection was successfully created with validation status FINE and persistent id 1  

    sqoop:000>   

 

b:创建job

 

 

 

    sqoop:000> show job --all  

    0 job(s) to show:   

    sqoop:000> create job --xid 1 --type import    

    Creating job for connection with id 1  

    Please fill following values to create new job object  

    Name: mysql_job  

      

    Database configuration  

      

    Schema name:   

    Table name: bb_month  

    Table SQL statement:   

    Table column names:   

    Partition column name:   

    Nulls in partition column:   

    Boundary query:   

      

    Output configuration  

      

    Storage type:   

      0 : HDFS  

    Choose: 0  

    Output format:   

      0 : TEXT_FILE  

      1 : SEQUENCE_FILE  

    Choose: 1  

    Compression format:   

      0 : NONE  

      1 : DEFAULT  

      2 : DEFLATE  

      3 : GZIP  

      4 : BZIP2  

      5 : LZO  

      6 : LZ4  

      7 : SNAPPY  

    Choose: 0  

    Output directory: /home/jifeng/out  

      

    Throttling resources  

      

    Extractors:   

    Loaders:   

    New job was successfully created with validation status FINE  and persistent id 1  

    sqoop:000>   

 

 

3:启动job

 

 

 

    sqoop:000> start job --jid 1   

    Submission details  

    Job ID: 1  

    Server URL: http://localhost:12000/sqoop/  

    Created by: jifeng  

    Creation date: 2014-08-20 00:01:35 CST  

    Lastly updated by: jifeng  

    External ID: job_201408190908_0004  

            http://jifeng01:50030/jobdetails.jsp?jobid=job_201408190908_0004  

    2014-08-20 00:01:35 CST: BOOTING  - Progress is not available  

 

 

4:查看状态

 

 

 

    sqoop:000> status job --jid 1  

    Submission details  

    Job ID: 1  

    Server URL: http://localhost:12000/sqoop/  

    Created by: jifeng  

    Creation date: 2014-08-20 00:01:35 CST  

    Lastly updated by: jifeng  

    External ID: job_201408190908_0004  

            http://jifeng01:50030/jobdetails.jsp?jobid=job_201408190908_0004  

    2014-08-20 00:01:41 CST: RUNNING  - 5.00 %  

 

 

 

 

    sqoop:000> status job --jid 1  

    Submission details  

    Job ID: 1  

    Server URL: http://localhost:12000/sqoop/  

    Created by: jifeng  

    Creation date: 2014-08-20 00:01:35 CST  

    Lastly updated by: jifeng  

    External ID: job_201408190908_0004  

            http://jifeng01:50030/jobdetails.jsp?jobid=job_201408190908_0004  

    2014-08-20 00:01:55 CST: SUCCEEDED   

    Counters:  

            org.apache.hadoop.mapred.JobInProgress$Counter  

                    SLOTS_MILLIS_MAPS: 49955  

                    FALLOW_SLOTS_MILLIS_REDUCES: 0  

                    FALLOW_SLOTS_MILLIS_MAPS: 0  

                    TOTAL_LAUNCHED_MAPS: 16  

                    SLOTS_MILLIS_REDUCES: 0  

            org.apache.hadoop.mapreduce.lib.output.FileOutputFormat$Counter  

                    BYTES_WRITTEN: 57881  

            org.apache.hadoop.mapreduce.lib.input.FileInputFormat$Counter  

                    BYTES_READ: 0  

            FileSystemCounters  

                    HDFS_BYTES_READ: 1187  

                    FILE_BYTES_WRITTEN: 671920  

                    HDFS_BYTES_WRITTEN: 57881  

            org.apache.sqoop.submission.counter.SqoopCounters  

                    ROWS_READ: 532  

            org.apache.hadoop.mapred.Task$Counter  

                    MAP_INPUT_RECORDS: 0  

                    PHYSICAL_MEMORY_BYTES: 567025664  

                    SPILLED_RECORDS: 0  

                    COMMITTED_HEAP_BYTES: 216793088  

                    CPU_MILLISECONDS: 4450  

                    VIRTUAL_MEMORY_BYTES: 5002416128  

                    SPLIT_RAW_BYTES: 1187  

                    MAP_OUTPUT_RECORDS: 532  

    Job executed successfully  

 

 

显示任务

 

 

 

    sqoop:000> show job  

    +----+-----------+--------+-----------+---------+  

    | Id |   Name    |  Type  | Connector | Enabled |  

    +----+-----------+--------+-----------+---------+  

    | 1  | mysql_job | IMPORT | 1         | true    |  

    +----+-----------+--------+-----------+---------+  

 

 

查看输出目录：

 

 

 

    [yy@feixiang ~]$ hadoop fs -ls /home/jifeng/out   

    Warning: $HADOOP_HOME is deprecated.  

      

    Found 12 items  

    -rw-r--r--   1 jifeng supergroup          0 2014-08-20 00:01 /home/jifeng/out/_SUCCESS  

    drwxr-xr-x   - jifeng supergroup          0 2014-08-20 00:01 /home/jifeng/out/_logs  

    -rw-r--r--   1 jifeng supergroup       6849 2014-08-20 00:01 /home/jifeng/out/part-m-00000  

    -rw-r--r--   1 jifeng supergroup       8626 2014-08-20 00:01 /home/jifeng/out/part-m-00001  

    -rw-r--r--   1 jifeng supergroup       8529 2014-08-20 00:01 /home/jifeng/out/part-m-00002  

    -rw-r--r--   1 jifeng supergroup       8348 2014-08-20 00:01 /home/jifeng/out/part-m-00003  

    -rw-r--r--   1 jifeng supergroup       8440 2014-08-20 00:01 /home/jifeng/out/part-m-00004  

    -rw-r--r--   1 jifeng supergroup       8461 2014-08-20 00:01 /home/jifeng/out/part-m-00005  

    -rw-r--r--   1 jifeng supergroup       6341 2014-08-20 00:01 /home/jifeng/out/part-m-00006  

    -rw-r--r--   1 jifeng supergroup          0 2014-08-20 00:01 /home/jifeng/out/part-m-00007  

    -rw-r--r--   1 jifeng supergroup          0 2014-08-20 00:01 /home/jifeng/out/part-m-00008  

    -rw-r--r--   1 jifeng supergroup       2287 2014-08-20 00:01 /home/jifeng/out/part-m-00009  

 

 

 

 

    [yy@feixiang ~]$ hadoop fs -cat /home/jifeng/out/part-m-00000  

    Warning: $HADOOP_HOME is deprecated.  

      

      

    2,'上海','null','null','2014-01',2014,1,1,13343.0000,2177100.0000,919980.9542,1780826.8400,915861.2630  

    3,'南京','null','null','2014-01',2014,1,1,83205.0000,10170825.5000,5691685.7539,10176737.0000,5783684.3099  

    4,'南宁','null','null','2014-01',2014,1,1,37398.0000,4657064.5582,3858233.2324,4285315.8635,3866359.4134  

    5,'合肥','null','null','2014-01',2014,1,1,54265.0000,5927293.3000,3790212.4730,5697485.8000,3795554.7360  

    6,'天津','null','null','2014-01',2014,1,1,21513.0000,3340041.0146,1889377.3429,3037085.1446,1935199.7005  

    7,'太原','null','null','2014-01',2014,1,1,5328.0000,964847.4000,592040.0100,866491.0750,598172.1280  

    8,'广州','null','null','2014-01',2014,1,1,450543.0000,70471984.4267,35032429.3451,60040659.7924,35938779.1930  

    9,'成都','null','null','2014-01',2014,1,1,78312.0000,9642889.2608,6539638.1473,8307986.0082,6689729.8533  

    10,'昆明','null','null','2014-01',2014,1,1,48588.0000,6628503.6282,4988034.6513,6588396.6282,5056185.2296  

    11,'杭州','null','null','2014-01',2014,1,1,74618.0000,6956351.5554,3692710.1188,7157249.8000,3787703.1280  

    12,'沈阳','null','null','2014-01',2014,1,1,26707.0000,4015047.8333,2422683.5838,3955828.1400,2532257.5097  

    13,'济南','null','null','2014-01',2014,1,1,94682.0000,10864425.1621,6275161.1735,10061228.8866,6519761.5557  

    14,'石家庄','null','null','2014-01',2014,1,1,12632.0000,1927744.4868,1328895.2188,1697052.8140,1345241.9188  

    15,'福州','null','null','2014-01',2014,1,1,53421.0000,6902491.3272,4467384.3248,6883220.4372,4551101.9392  

    16,'西安','null','null','2014-01',2014,1,1,38837.0000,5608857.0000,3791745.0944,5097407.0600,3832304.1279  

    17,'贵阳','null','null','2014-01',2014,1,1,32912.0000,4725606.0957,3609643.0050,4045945.5000,3642090.1400  

    18,'郑州','null','null','2014-01',2014,1,1,92264.0000,16073972.5496,8838877.6275,13622151.6764,9953878.0672