hcatalog帮我们解决了这个问题，有了它我们不用关心hive中数据的存储格式。详细信息请仔细阅读本文。 本文主要是讲mapreduce使用HCatalog读写hive表。...hcatalog使得hive的元数据可以很好的被其它hadoop工具使用，比如pig，mr和hive。...HCatalog的表为用户提供了（HDFS）中数据的关系视图，并确保用户不必担心他们的数据存储在何处或采用何种格式，因此用户无需知道数据是否以RCFile格式存储， 文本文件或sequence 文件。...HCatalog提供HCatInputFormat / HCatOutputFormat，使MapReduce用户能够在Hive的数据仓库中读/写数据。 它允许用户只读取他们需要的表和列的分区。
org.apache.hadoop.conf.Configuration; import org.apache.hadoop.util.ToolRunner; import org.apache.hive.hcatalog.mapreduce.HCatInputFormat...org.apache.hadoop.io.WritableComparable; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hive.hcatalog.data.HCatRecord...; import org.apache.hive.hcatalog.data.schema.HCatSchema; import org.apache.hive.hcatalog.mapreduce.HCatInputFormat...import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hive.hcatalog.data.schema.HCatSchema...; import org.apache.hive.hcatalog.mapreduce.HCatInputFormat; import org.slf4j.Logger; import org.slf4j.LoggerFactory
有一段时间没用sqoop了，今天打开进行测试的时候，发现命令行总是出现下面这样的警示信息： Warning: /opt/module/sqoop/bin/…/…/hcatalog does not exist...HCatalog jobs will fail. Please set HCAT_HOME to the root of your HCatalog installation.
hbase+hive+spark基础上搭建 hive 配置环境变量添加如下：/etc/profile和 ~/.bash_profile export HCAT_HOME=$HIVE_HOME/hcatalog...HIVE_CONF=$HIVE_HOME/conf export hive_dependency=/itcast/hive/conf:/itcast/hive/lib/*:/itcast/hive/hcatalog.../share/hcatalog/hive-hcatalog-pig-adapter-1.1.0-cdh5.5.1.jar:/itcast/hive/hcatalog/share/hcatalog/hive-hcatalog-core...-1.1.0-cdh5.5.1.jar:/itcast/hive/hcatalog/share/hcatalog/hive-hcatalog-server-extensions-1.1.0-cdh5.5.1....jar:/itcast/hive/hcatalog/share/hcatalog/hive-hcatalog-streaming-1.1.0-cdh5.5.1.jar:/itcast/hive/lib
hcatalog环境变量没配 /export/servers/hive-1.1.0-cdh5.14.0/hcatalog/ export HCAT_HOME=/export/servers/hive-1.1.0...-cdh5.14.0/hcatalog/ export PATH=$PATH:$HCAT_HOME/bin
SUCCESS [ 20.985 s] [INFO] Hive HCatalog .........................................SUCCESS [ 48.139 s] [INFO] Hive HCatalog Core ....................................SUCCESS [ 5.561 s] [INFO] Hive HCatalog Pig Adapter .............................SUCCESS [ 4.961 s] [INFO] Hive HCatalog Server Extensions .......................SUCCESS [ 25.777 s] [INFO] Hive HCatalog Webhcat Java Client ..................
/hcatalog does not exist! HCatalog jobs will fail..../hcatalog does not exist! HCatalog jobs will fail..../hcatalog does not exist! HCatalog jobs will fail..../hcatalog does not exist! HCatalog jobs will fail..../hcatalog does not exist! HCatalog jobs will fail.
compute.internal:3306/test_db \ --username testuser \ --password password \ --table mytest_parquet \ --hcatalog-database...default \ --hcatalog-table mytest_parquet --num-mappers 1 参数说明： --table：MySQL库中的表名 --hcatalog-database...：Hive中的库名 --hcatalog-table：Hive库中的表名，需要抽数的表 --num-mappers：执行作业的Map数 2.修改后执行抽数作业 [6w1zlu101s.jpeg] 作业执行成功...已知的问题，参考SQOOP-2907： https://issues.apache.org/jira/browse/SQOOP-2907 该jira目前并没有修复，如果要实现该功能，需要参考第二章的做法，使用hcatalog
库名称 hiveTableEmpty 是否清空目标表数据，默认不清空（false） hiveSQL hive sql hiveColumn 起始，目标，元数据的列字段 hMetastoreHost Hcatalog...host hMetastorePort Hcatalog port hiveFilter Hcatalog 过滤条件 hivePartition 分区，json ,示例（{“time”:“2019”}...hiveTableNames 起始源和目标源都是Hive，表名称数组 hiveDatabases 起始源和目标源都是Hive，库名称数组 hMetastoreHosts 起始源和目标源都是Hive，Hcatalog...host数组 hMetastorePorts 起始源和目标源都是Hive，Hcatalog port数组 Mysql 参数 含义 url jdbc url tableName 表名称 username...7.推荐HCatalog。 8.Hive jdbc 性能不好，不建议用java引擎，用Spark/Flink。
test1 ( one boolean, three array, two double, four string ) ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe...2.建表并导入数据 CREATE TABLE test2 ( myfield string, ts string) ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe...首先使用方式上本文档介绍的JsonSerDe在Hive中建表时的方式是create table xxx(col1 string,col2 string) ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe...ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe'，Apache自带的JsonSerDe这个类在hive-hcatalog-core-2.1.1....jar中，这个包在CDH的目录/opt/cloudera/parcels/CDH/lib/hive-hcatalog/share/hcatalog/下，在建表时可以直接使用；在功能上经过测试Apache
2a7f098ecb5a/hive-exec-2.1.1.jar blk_1073857295 /tmp/xxx/b9a11fe8-306a-42cc-b49f-2a7f098ecb5a/hive- hcatalog-core.../tmp/xxx/b9a11fe8-306a-42cc-b49f-2a7f098ecb5a/hive-hcatalog-core-3.0.0.jar: CORRUPT blockpool BP-604784226...-10.42.1.102-1577681916881 block blk_1073857295 /tmp/xxx/b9a11fe8-306a-42cc-b49f-2a7f098ecb5a/hive-hcatalog-core
import --connect jdbc:mysql://172.0.0.1:3306/dy \--username root --password XXX \--table test \--create-hcatalog-table...\--hcatalog-database dy \--hcatalog-table test_orc \--hcatalog-storage-stanza "stored as orcfile location...'cosn://sqoop-dy-1258469122/hive/warehouse/test_orc'" \-m 1参数详解：--create-hcatalog-table：orc表如果不存在，即创建...；--hcatalog-storage-stanza：orc表存储参数，这里指定了存储格式为orc，指定了warehouse路径为cos路径。...注：由于orc表不同于普通hive表，orc表只能用hcatalog参数。
2、问题原因 对json格式的表执行查询时，若需要对该表的json文件进行解析，则需要依赖类org.apache.hive.hcatalog.data.JsonSerDe；查询全表时，不需要对进行解析，...", teacher map comment "授课老师信息" ) comment "学生课程信息" row format serde 'org.apache.hive.hcatalog.data.JsonSerDe...4 问题解决 1、方法一：在每个节点创建软链接 ln -s /opt/cloudera/parcels/CDH/jars/hive-hcatalog-core-1.1.0-cdh5.13.1.jar.../opt/cloudera/parcels/CDH/lib/hadoop-yarn/lib/hive-hcatalog-core-1.1.0-cdh5.13.1.jar 此方法需要在每个nodemanager
then export HIVE_AUX_JARS_PATH=${HIVE_AUX_JARS_PATH} elif [ -d "/usr/hdp/current/hive-webhcat/share/hcatalog..." ]; then export HIVE_AUX_JARS_PATH=/usr/hdp/current/hive-webhcat/share/hcatalog fi 如果给HIVE_AUX_JARS_PATH...设值，则/usr/hdp/current/hive-webhcat/share/hcatalog就会被忽略掉。...hive只能读取一个HIVE_AUX_JARS_PATH 在一个地方集中放置我们的共享jar包，然后在/usr/hdp/current/hive-webhcat/share/hcatalog下面建立一相应的软连接就可以...hive ln -s /usr/lib/share-lib/elasticsearch-hadoop-2.1.0.Beta4.jar /usr/hdp/current/hive-webhcat/share/hcatalog
三者之间的关系 a.sources.source_from_kafka.channels=mem_channel a.sinks.hive_sink.channel=mem_channel 5、将/hive/hcatalog.../share/hcatalog/hive-hcatalog-streaming-x.x.x.jar拷贝到/flume/lib/下 此外还需要注意/hive/lib/guava-xx.x-jre.jar下与
compute.internal:3306/test_db \ --username testuser \ --password password \ --table mytest_parquet \ --hcatalog-database...default \ --hcatalog-table mytest_parquet --num-mappers 1 异常信息如下,提示：代码块部分可以左右滑动查看噢 2017-12-28 11:17:...compute.internal:3306/test_db \ --username testuser \ --password password \ --table mytest_parquet \ --hcatalog-database...default \ --hcatalog-table mytest_parquet \ --num-mappers 1 [fi16rjy8oa.jpeg] 创建Ssh Action的Oozie
oozie-client.noarch yum remove -y gweb.noarch yum remove -y snappy-devel.x86_64 yum remove -y hcatalog.noarch...hbase-conf rm -rf hadoop-log rm -rf hadoop-lib rm -rf hadoop-default rm -rf oozie-conf rm -rf hcatalog-conf...userdel sqoop userdel puppet #5.删除文件夹 rm -rf /hadoop rm -rf /etc/hadoop rm -rf /etc/hbase rm -rf /etc/hcatalog...log/oozie rm -rf /var/log/zookeeper rm -rf /usr/lib/hadoop rm -rf /usr/lib/hbase rm -rf /usr/lib/hcatalog
/developer/apache-hive-1.1.0-bin export HIVE_CONF_DIR=${HIVE_HOME}/conf export HCAT_HOME=$HIVE_HOME/hcatalog...developer/apache-kylin-2.3.0-bin export hive_dependency=$HIVE_HOME/conf:$HIVE_HOME/lib/*:$HCAT_HOME/share/hcatalog.../hive-hcatalog-core-1.1.0.jar #Path # 1. big data export PATH=$KYLIN_HOME/bin:$PATH export PATH=$HIVE_HOME
HADOOP_HOME/share/hadoop/common/hadoop-common-2.7.3.jar $SQOOP_HOME/lib 修改$SQOOP_HOME/bin/configure-sqoop 注释掉HCatalog...，Accumulo检查(除非你准备使用HCatalog，Accumulo等HADOOP上的组件) ##Moved to be a runtime check in sqoop....HCatalog jobs will fail." # echo 'Please set $HCAT_HOME to the root ofyour HCatalog installation.'...#fi #Add HCatalog to dependency list #if[ -e "${HCAT_HOME}/bin/hcat" ]; then # TMP_SQOOP_CLASSPATH
Ambari目前已支持大多数Hadoop组件，包括HDFS，MapReduce，Hive，Pig，HBase，Zookeeper，Sqoop和HCatalog等。...Apache Ambari支持HDFS，MapReduce，Hive，Pig，HBase，Zookeeper，Sqoop和HCatalog等的集中管理。也是5个顶级Hadoop集群管理工具之一。...预先配置好关键的运维指标(Metrics)，也可以直接查看Hadoop Core(HDFS和MapReduce)及相关项目(如HBase，Hive和HCatalog等)是否健康。
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