千辛萬苦,裝個hive

時間 2019-11-19

原文原文鏈接

一.基本功能:

1.啓動hive時報錯

java.lang.ExceptionInInitializerError
      at java.lang.Class.forName0(Native Method)
      at java.lang.Class.forName(Class.java:190)
      at org.apache.hadoop.hive.ql.stats.jdbc.JDBCStatsPublisher.init(JDBCStatsPublisher.java:265)
      at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:412)
  Caused by: java.lang.SecurityException: sealing violation: package org.apache.derby.impl.jdbc.authentication is sealed
      at java.net.URLClassLoader.getAndVerifyPackage(URLClassLoader.java:388)
      at java.net.URLClassLoader.defineClass(URLClassLoader.java:417)

解決方案:

將mysql-connector-java-5.1.6-bin.jar包導入到$HIVE_HOME/lib目錄下

html

2.啓動hive時報錯:

[ERROR] Terminal initialization failed; falling back to unsupported
  java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected
      at jline.TerminalFactory.create(TerminalFactory.java:101)
      at jline.TerminalFactory.get(TerminalFactory.java:158)
  Exception in thread "main" java.lang.IncompatibleClassChangeError: Found class jline.Terminal, but interface was expected
      at jline.console.ConsoleReader.<init>(ConsoleReader.java:230)
      at jline.console.ConsoleReader.<init>(ConsoleReader.java:221)

解決方案:

將當前hive版本的$HIVE_HOME/lib目錄下的jline-2.12.jar包拷貝到$HADOOP_HOME/share/hadoop/yarn/lib目錄下, 並將舊版本的Hive的Jline包從$HADOOP_HOME/etc/hadoop/yarn/lib目錄下刪除

java

3.啓動hive時報錯

Exception in thread "main" java.lang.RuntimeException: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
        at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:677)
  Caused by: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D
        at org.apache.hadoop.fs.Path.initialize(Path.java:206)
        at org.apache.hadoop.fs.Path.<init>(Path.java:172)
  Caused by: java.net.URISyntaxException: Relative path in absolute URI: ${system:java.io.tmpdir%7D/$%7Bsystem:user.name%7D
        at java.net.URI.checkPath(URI.java:1804)
        at java.net.URI.<init>(URI.java:752)
        at org.apache.hadoop.fs.Path.initialize(Path.java:203)
        ... 11 more

解決方案:

1.查看hive-site.xml配置，會看到配置值含有"system:java.io.tmpdir"的配置項
  2.新建文件夾${HIVE_HOME}/hive/logs
  3.將含有"system:java.io.tmpdir"的配置項的值修改成${HIVE_HOME}/hive/logs
  即: 新添屬性爲
  <property>
      <name>hive.exec.local.scratchdir</name>
      <value>${HIVE_HOME}/logs/HiveJobsLog</value>
      <description>Local scratch space for Hive jobs</description>
  </property>
  <property>
      <name>hive.downloaded.resources.dir</name>
      <value>${HIVE_HOME}/logs/ResourcesLog</value>
      <description>Temporary local directory for added resources in the remote file system.</description>
  </property>
  <property>
      <name>hive.querylog.location</name>
      <value>${HIVE_HOME}/logs/HiveRunLog</value>
      <description>Location of Hive run time structured log file</description>
  </property>
  <property>
      <name>hive.server2.logging.operation.log.location</name>
      <value>${HIVE_HOME}/logs/OpertitionLog</value>
      <description>Top level directory where operation logs are stored if logging functionality is enabled</description>
  </property>

node

4.啓動hive時報錯

Caused by: java.sql.SQLException: Access denied for user 'root'@'master' (using password: YES)
      at com.mysql.jdbc.SQLError.createSQLException(SQLError.java:946)
      at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:2870)
      at com.mysql.jdbc.MysqlIO.checkErrorPacket(MysqlIO.java:812)
      at com.mysql.jdbc.MysqlIO.secureAuth411(MysqlIO.java:3269)

解決方案:

mysql密碼不正確, 查看hive-site.xml配置與mysql的密碼是否一致

mysql

5.操做表數據時(向表中導入數據), 報錯:

FAILED: RuntimeException org.apache.hadoop.security.AccessControlException: Permission denied: user=services02, access=EXECUTE, inode="/tmp":services01:supergroup:drwx------

解決方案:

user=services02與inode="/tmp":services01:supergroup不一樣時,說明hive登陸的主機與HDFS的active狀態的主機不同
  應把user=services02的主機變爲HDFS的active狀態的主機.

web

二.擴展Parquet功能:

1.建立存儲格式爲parquet時,建表語句爲: (Hive版本爲0.12)

create table parquet_test(x int, y string) 
  row format serde 'parquet.hive.serde.ParquetHiveSerDe'    
  stored as inputformat 'parquet.hive.DeprecatedParquetInputFormat'                    
  outputformat 'parquet.hive.DeprecatedParquetOutputFormat';

報錯:

FAILED: SemanticException [Error 10055]: Output Format must implement 
  HiveOutputFormat, otherwise it should be either IgnoreKeyTextOutputFormat or 
  SequenceFileOutputFormat

解決方案:

由於parquet.hive.DeprecatedParquetOutputFormat類並無在Hive的CLASSPATH中配置
  單獨下載parquet-hive-1.2.5.jar包(此類屬於$IMPALA_HOME/lib目錄下), 在$HIVE_HOME/lib目錄下創建個軟鏈就能夠了

cd $HIVE_HOME/lib
  ln -s $/home/hadoop/soft/gz.zip/parquet-hive-1.2.5.jar

sql

2.繼續提交創表語句: (Hive版本爲0.12)

create table parquet_test(x int, y string) 
  row format serde 'parquet.hive.serde.ParquetHiveSerDe'    
  stored as inputformat 'parquet.hive.DeprecatedParquetInputFormat'                    
  outputformat 'parquet.hive.DeprecatedParquetOutputFormat';

報錯:

Exception in thread "main" java.lang.NoClassDefFoundError: parquet/hadoop/api/WriteSupport
  at java.lang.Class.forName0(Native Method)
  at java.lang.Class.forName(Class.java:247)

解決方案:

經過yum下載Parquet
  sodu yum -y install parquet

下載parquet的jar包在/usr/lib/parquet目錄下, 將/usr/lib/parquet目錄下的全部jar(除javadoc.jar和sources.jar外)拷貝到$HIVE_HOME/lib目錄下.
若yum沒法下載parquet資源包, 則這是須要配置yum源, 請自行百度尋找資料

數據庫

3.繼續提交創表語句:(Hive版本爲0.12)

create table parquet_test(x int, y string) 
  row format serde 'parquet.hive.serde.ParquetHiveSerDe'    
  stored as inputformat 'parquet.hive.DeprecatedParquetInputFormat'                    
  outputformat 'parquet.hive.DeprecatedParquetOutputFormat';

報錯:

FAILED: Error in metadata: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient

解決方案:

先啓動metastore服務:
  hive --service metastore

apache

4.將存儲格式爲textFile的文件數據insert到parquet時, 報錯:

Error: java.lang.RuntimeException: Error in configuring object
        at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:109)
        at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:75)
        at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
        at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:426))
  Caused by: java.lang.reflect.InvocationTargetException
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        ... 9 more
  Caused by: java.lang.RuntimeException: Map operator initialization failed
        at org.apache.hadoop.hive.ql.exec.mr.ExecMapper.configure(ExecMapper.java:134)
        ... 22 more
  Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.NullPointerException
        at org.apache.hadoop.hive.ql.exec.FileSinkOperator.initializeOp(FileSinkOperator.java:386)
        at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:377)
        ... 22 more
  Caused by: java.lang.NullPointerException
        at org.apache.hadoop.hive.ql.exec.FileSinkOperator.initializeOp(FileSinkOperator.java:323)
        ... 34 more
  FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
        MapReduce Jobs Launched: 
        Job 0: Map: 1   HDFS Read: 0 HDFS Write: 0 FAIL
        Total MapReduce CPU Time Spent: 0 msec

解決方案:

在hive-env.sh中添加: 
  JAVA_HOME=/home/hadoop/soft/jdk1.7.0_67
  HADOOP_HOME=/home/hadoop/soft/hadoop-2.4.1
  HIVE_HOME=/home/hadoop/soft/hive-0.12.0
  export HIVE_CONF_DIR=$HIVE_HOME/conf
  export HIVE_AUX_JARS_PATH=$HIVE_HOME/lib
  export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$HADOOP_HOME/lib:$HIVE_HOME/lib

centos

5.將textFile表的數據插入到parquet表中,報錯:

Error: java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error 
            while processing row {"time":1471928602,"uid":687994,"billid":1004,"archiveid":null,"year":"2016","mouth":"2016-08","day":"2016-08-23","hour":"2016-08-23-04"}
  Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while processing row 
  Caused by: java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.hadoop.io.ArrayWritable

解決方案:

配置hive-env.xml文件,添加:

JAVA_HOME=/home/hadoop/soft/jdk1.7.0_67
      HADOOP_HOME=/home/hadoop/soft/hadoop-2.4.1
      HIVE_HOME=/home/hadoop/soft/hive-0.12.0
      export HIVE_CONF_DIR=$HIVE_HOME/conf
      export CLASSPATH=$CLASSPATH:$JAVA_HOME/lib:$HADOOP_HOME/lib:$HIVE_HOME/lib

經過yum下載Parquet

sodu yum -y install parquet

下載parquet的jar包在/usr/lib/parquet目錄下, 將/usr/lib/parquet目錄下的全部jar(除javadoc.jar和sources.jar外)拷貝到$HIVE_HOME/lib目錄下.api
文件壓縮格式問題:
在insert插入數據以前, 要先設置壓縮格式, 要三種格式可選, 一般選用SNAPPY:

CompressionCodecName.UNCOMPRESSED
    CompressionCodecName.SNAPPY
    CompressionCodecName.GZIP

5.在Hive命令行中執行set parquet.compression = SNAPPY語句; 而後再進行insert數據插入操做

6.建立存儲格式爲parquet的表時,報錯

FAILED: SemanticException [Error 10055]: Output Format must implement HiveOutputFormat, otherwise it should be either IgnoreKeyTextOutputFormat or SequenceFileOutputFormat

解決方案:

查看hive版本, 若是hive是0.13版本如下的, 則創表時用: stored as inputformat 'parquet.hive.DeprecatedParquetInputFormat' outputformat 'parquet.hive.DeprecatedParquetOutputFormat';
  若hive是0.13版本以上, 則創表時用: stored as parquet;

三.Hive1.x升級到2.x異常彙總

1.啓動hive時報錯

Exception in thread "main" java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
            at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:591)
            at org.apache.hadoop.hive.ql.session.SessionState.beginStart(SessionState.java:531)
  Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
            at org.apache.hadoop.hive.ql.metadata.Hive.registerAllFunctionsOnce(Hive.java:226)
  Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
            at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1654)
            at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:80)
  Caused by: java.lang.reflect.InvocationTargetException
            at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
            at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
  Caused by: MetaException(message:Hive Schema version 2.1.0 does not match metastore schema version 1.2.0 Metastore is not upgraded or corrupt)
            at org.apache.hadoop.hive.metastore.ObjectStore.checkSchema(ObjectStore.java:7768)
            at org.apache.hadoop.hive.metastore.ObjectStore.verifySchema(ObjectStore.java:7731)

解決方案:

(1)刪除HDFS上的hive數據與hive數據庫
        hadoop fs -rm -r -f /tmp/hive
        hadoop fs -rm -r -f /user/hive
  (2)刪除MySQL上的hive的元數據信息
        mysql -uroot -p 
        drop database hive

隨之而來了一個問題:

Exception in thread "main" java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
            at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:591)
            at org.apache.hadoop.hive.ql.session.SessionState.beginStart(SessionState.java:531)
  Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
            at org.apache.hadoop.hive.ql.metadata.Hive.registerAllFunctionsOnce(Hive.java:226)
            at org.apache.hadoop.hive.ql.metadata.Hive.<init>(Hive.java:366)
  Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
            at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1654)
            at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:80)
  Caused by: java.lang.reflect.InvocationTargetException
            at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
            at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
  Caused by: MetaException(message:Version information not found in metastore. )
            at org.apache.hadoop.hive.metastore.ObjectStore.checkSchema(ObjectStore.java:7753)
            at org.apache.hadoop.hive.metastore.ObjectStore.verifySchema(ObjectStore.java:7731)

解決方案:

初始化hive, 將mysql做爲hive的元數據庫
  schematool -dbType mysql -initSchema

2.使用HPL/SQL時報錯:

java.sql.SQLException: Could not open client transport with JDBC Uri: jdbc:hive2://localhost:10000: java.net.ConnectException: Connection refused

解決方案(若方案一仍然報錯, 則執行方案二):

方案一:
啓動hiveServer2服務,

cd $HIVE_HOME/bin
  ./hiveserver2

方案二:

編輯hplsql-site.xml, 修改如下配置:

<property>
      <name>hplsql.conn.default</name>
      <value>hive2conn</value>
      <description>The default connection profile</description>
  </property>
  <property>
      <name>hplsql.conn.hive2conn</name>
      <value>org.apache.hive.jdbc.HiveDriver;jdbc:hive2://m1:10000</value>
      <description>HiveServer2 JDBC connection</description>
  </property>

而後啓動hiveServer2

cd $HIVE_HOME/bin
    ./hiveserver2

使用beeline測試鏈接

cd $HIVE_HOME/bin
    ./beeline
    !connect jdbc:hive2://m1:10000

3.在hive2.0中使用hplsql, 對存儲過程文件進行執行時, 報錯:

java.sql.SQLException: 
  Could not open client transport with JDBC Uri: jdbc:hive2://localhost:10000: Failed to open new session: java.lang.RuntimeException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.authorize.AuthorizationException): User: centos is not allowed to impersonate hive
            at org.apache.hive.jdbc.HiveConnection.<init>(HiveConnection.java:209)
            at org.apache.hive.jdbc.HiveDriver.connect(HiveDriver.java:107)
  Caused by: org.apache.hive.service.cli.HiveSQLException: Failed to open new session: java.lang.RuntimeException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.authorize.AuthorizationException): User: centos is not allowed to impersonate hive
            at org.apache.hive.jdbc.Utils.verifySuccess(Utils.java:266)
  Caused by: org.apache.hive.service.cli.HiveSQLException: Failed to open new session: java.lang.RuntimeException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.authorize.AuthorizationException): User: centos is not allowed to impersonate hive
            at org.apache.hive.service.cli.session.SessionManager.createSession(SessionManager.java:336)
            at org.apache.hive.service.cli.session.SessionManager.openSession(SessionManager.java:279)
  Caused by: java.lang.RuntimeException: java.lang.RuntimeException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.authorize.AuthorizationException): User: centos is not allowed to impersonate hive
            at org.apache.hive.service.cli.session.HiveSessionProxy.invoke(HiveSessionProxy.java:89)
            at org.apache.hive.service.cli.session.HiveSessionProxy.access$000(HiveSessionProxy.java:36)
  Caused by: java.lang.RuntimeException: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.authorize.AuthorizationException): User: centos is not allowed to impersonate hive
            at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:591)
            at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:526)
  Caused by: java.lang.RuntimeException: org.apache.hadoop.ipc.RemoteException:User: centos is not allowed to impersonate hive
            at org.apache.hadoop.ipc.Client.call(Client.java:1470)
            at org.apache.hadoop.ipc.Client.call(Client.java:1401)

解決方案:

暫停HDFS服務
stop-dfs.sh
修改core-site.xml文件
在$HADOOP_HOME/etc/hadoop/core-site.xml文件中增長如下配置, 注意:Hadoop.proxyuser.centos.hosts配置項名稱中centos部分爲報錯User:*中的用戶名部分

<property>
      <name>hadoop.proxyuser.centos.groups</name>
      <value>*</value>
  </property>
  <property>
      <name>hadoop.proxyuser.centos.hosts</name>
      <value>*</value>
  </property>

將core-site.xml文件分發到其餘主機
啓動HDFS服務
start-dfs.sh

4.在Hive2.0中使用HPL/SQL, 對存儲過程文件進行執行時, 報錯:

java.sql.SQLException: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. Permission denied: user=anonymous, access=EXECUTE, inode="/tmp":centos:supergroup:drwx------
        at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkFsPermission(FSPermissionChecker.java:271)
        at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:257)
        at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkTraverse(FSPermissionChecker.java:208)

解決方案:

1. 修改有問題的目錄權限
    hadoop fs -chmod 755 /tmp

2.在hive-site.xml文件中修改如下配置項
<property>
    <name>hive.scratch.dir.permission</name>
    <value>755</value>
</property>

5.使用HPL/SQL存儲過程時報錯

在HPL/SQL2.2.1版本中, 使用from語句時, 老是從配置文件裏找hplsql.dual.table配置項的值, 老是報錯找不到dual表, 或找不到select語句中指定cloumn

解決方案:

HPL/SQL官網

http://www.hplsql.org/doc

注意: 必定得是0.3.17或以上版本的HPL/SQL
下載一個HPL/SQL 0.3.17的tan.gz文件, 解壓後將hplsql-0.3.17.jar包放入$HIVE_HOME包下, 並更名爲hive-hplsql-*.jar格式的包,如:hive-hplsql-0.3.17.jar

五.Hive On Spark做爲引擎:

官方參考配置項
      https://cwiki.apache.org/confluence/display/Hive/Configuration+Properties#ConfigurationProperties-Spark
  遇坑解決方案指南:
      http://www.cnblogs.com/breg/p/5552342.html
  搭建教程及部分遇坑解決指南
      http://www.cnblogs.com/linbingdong/p/5806329.html

1.啓動hive時報錯

Exception in thread "main" java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:591)
        at org.apache.hadoop.hive.ql.session.SessionState.beginStart(SessionState.java:531)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
        at org.apache.hadoop.hive.ql.metadata.Hive.registerAllFunctionsOnce(Hive.java:226)
        at org.apache.hadoop.hive.ql.metadata.Hive.<init>(Hive.java:366)
Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
        at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1654)
        at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:80)
Caused by: java.lang.reflect.InvocationTargetException
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
Caused by: MetaException(message:Could not connect to meta store using any of the URIs provided. Most recent failure: org.apache.thrift.transport.TTransportException: java.net.ConnectException: Connection refused
        at org.apache.thrift.transport.TSocket.open(TSocket.java:226)
        at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.open(HiveMetaStoreClient.java:477)
Caused by: java.net.ConnectException: Connection refused
        at java.net.PlainSocketImpl.socketConnect(Native Method)
        at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
```

#####解決方案:
```
    啓動metastore服務:
    hive --service metastore
```


---
</br>
</br>
#####2.調用spark引擎計算時, 報錯:
```
  Failed to execute spark task, with exception 'org.apache.hadoop.hive.ql.metadata.HiveException(Failed to create spark client.)' FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.spark.SparkTask
```

######解決方案:
```
  錯誤日誌中出現Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.spark.SparkTask 該錯誤, 大部分是由於spark的安裝包是包含Hive引用包的, 出現此類問題應本身手動編譯一個spark包
```



---
</br>
</br>
#####3.調用spark引擎計算時, 報錯:
```
2016-12-19T20:19:15,491 ERROR [main] client.SparkClientImpl: Error while waiting for client to connect.
java.util.concurrent.ExecutionException: java.lang.RuntimeException: Cancel client 'dcee57ba-ea77-4e92-bd43-640e8385e2e7'. 
Error: Child process exited before connecting back with error log 
        Warning: Ignoring non-spark config property: hive.spark.client.server.connect.timeout=200000
        Warning: Ignoring non-spark config property: hive.spark.client.rpc.threads=8
        Warning: Ignoring non-spark config property: hive.spark.client.connect.timeout=1000
        Warning: Ignoring non-spark config property: hive.spark.client.secret.bits=256
        Warning: Ignoring non-spark config property: hive.spark.client.rpc.max.size=52428800
        16/12/19 20:19:15 INFO client.RemoteDriver: Connecting to: m1:48286
Exception in thread "main" java.lang.NoSuchFieldError: SPARK_RPC_SERVER_ADDRESS
        at org.apache.hive.spark.client.rpc.RpcConfiguration.<clinit>(RpcConfiguration.java:45)
        at org.apache.hive.spark.client.RemoteDriver.<init>(RemoteDriver.java:134)
Caused by: java.lang.RuntimeException: Cancel client 'dcee57ba-ea77-4e92-bd43-640e8385e2e7'. 
Error: Child process exited before connecting back with error log Warning: Ignoring non-spark config property: hive.spark.client.server.connect.timeout=200000
        Warning: Ignoring non-spark config property: hive.spark.client.rpc.threads=8
        Warning: Ignoring non-spark config property: hive.spark.client.connect.timeout=1000
        Warning: Ignoring non-spark config property: hive.spark.client.secret.bits=256
        Warning: Ignoring non-spark config property: hive.spark.client.rpc.max.size=52428800
        16/12/19 20:19:15 INFO client.RemoteDriver: Connecting to: m1:48286
Exception in thread "main" java.lang.NoSuchFieldError: SPARK_RPC_SERVER_ADDRESS
      at org.apache.hive.spark.client.rpc.RpcConfiguration.<clinit>(RpcConfiguration.java:45)
      at org.apache.hive.spark.client.RemoteDriver.<init>(RemoteDriver.java:134)
```

######解決方案:
```
參考資料:
    http://www.cnblogs.com/breg/p/5552342.html
```

日誌中出現````Exception in thread "main" java.lang.NoSuchFieldError: SPARK_RPC_SERVER_ADDRESS```該錯誤, 大部分是由於**spark**的安裝包是包含**Hive**引用包的, 出現此類問題應本身手動編譯一個**spark**包




---
</br>
</br>
#####4.使用編譯好的spark安裝包, 安裝好後, 啓動master時報錯:
```
  Spark Command: /home/centos/soft/jdk1.7.0_67/bin/java -cp /home/centos/soft/spark/conf/:/home/centos/soft/spark/lib/spark-assembly-1.6.0-hadoop2.6.0.jar:/home/centos/soft/hadoop/etc/hadoop/:/home/centos/soft/hadoop/etc/hadoop/:/home/centos/soft/hadoop/lib/spark-assembly-1.6.0-hadoop2.6.0.jar -Xms1g -Xmx1g -XX:MaxPermSize=256m org.apache.spark.deploy.master.Master --ip m1 --port 7077 --webui-port 8080
  ========================================
  Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/conf/Configuration
        at java.lang.Class.getDeclaredMethods0(Native Method)
        at java.lang.Class.privateGetDeclaredMethods(Class.java:2570)
        at java.lang.Class.getMethod0(Class.java:2813)
  Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.conf.Configuration
        at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
        at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
        at java.security.AccessController.doPrivileged(Native Method)
```

######解決方案:
```
  出現此類問題, 均是spark源碼編譯時出錯, 推薦使用Maven編譯
```



---
</br>
</br>
#####5.使用編譯好的spark安裝包, 安裝好後, 啓動master時報錯:
```
  Exception in thread "main" java.lang.NoClassDefFoundError: org/slf4j/Logger
          at java.lang.Class.getDeclaredMethods0(Native Method)
          at java.lang.Class.privateGetDeclaredMethods(Class.java:2570)
          at java.lang.Class.getMethod0(Class.java:2813)
  Caused by: java.lang.ClassNotFoundException: org.slf4j.Logger
          at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
          at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
          at java.security.AccessController.doPrivileged(Native Method)
```


######解決方案:
```
  出現此類問題, 均是spark源碼編譯時出錯, 推薦使用Maven編譯
```



---
</br>
</br>
#####6.Hive On Spark使用hplsql存儲過程時報錯,
**Beeline**中的報錯信息:
```
  Unhandled exception in HPL/SQL
  java.sql.SQLException: Could not open client transport with JDBC Uri: jdbc:hive2://m1:10000: null
            at org.apache.hive.jdbc.HiveConnection.<init>(HiveConnection.java:209)
            at org.apache.hive.jdbc.HiveDriver.connect(HiveDriver.java:107)
            at java.sql.DriverManager.getConnection(DriverManager.java:571)
  Caused by: org.apache.thrift.transport.TTransportException
            at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
            at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
```


**Hive-log.log**的報錯信息:
```
ERROR [HiveServer2-Handler-Pool: Thread-43] server.TThreadPoolServer: 
Thrift error occurred during processing of message.
org.apache.thrift.protocol.TProtocolException: Missing version in readMessageBegin, old client?
        at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:228)
        at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:27)
        at org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:56)
        at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:286)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)
```

######解決方案:
將```hive.server2.authentication```配置項改成```NONE```
```
<property>
    <name>hive.server2.authentication</name>
    <value>NONE</value>
</property>
```



---
</br>
</br>
#####7.使用spark-submit --master yarn提交任務時沒問題, 以HPL/SQL用存儲過程提交任務執行Spark任務時卻報錯:
```
  16/12/26 16:45:01 WARN cluster.ClusterScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered
  16/12/26 16:45:16 WARN cluster.ClusterScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered
```

######解決方案:

出現這種問題的緣由有不少種, 我所遇到的問題的解決方案是: 將```/etc/hosts```下的```127.0.0.1```註釋, 而後設置一個新值
```
  sudo vi /etc/hosts
      #127.0.0.1   localhost localhost.localdomain localhost4 localhost4.localdomain4
      127.0.0.1   localhost
```






---
</br>
</br>
#####8.報錯信息以下:
```
java.lang.StackOverflowError   at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53)
```

######解決方案：
SQL語句的`where`條件過長，字符串棧溢出








---
</br>
</br>
#####9.報錯信息以下:
```
Error: Could not find or load main class org.apache.hive.beeline.BeeLine
```

######解決方案：
從新編譯Hive，並帶上參數`-Phive-thriftserver`









---
</br>
</br>
#####10.報錯信息以下:
```
check the manual that corresponds to your MySQL server version for the right syntax to use near 'OPTION SQL_SELECT_LIMIT=DEFAULT' at line 1
```

######解決方案：
用新版`mysql-connector`








---
</br>
</br>
#####11.報錯信息以下:
```
java.lang.NoSuchMethodError: org.apache.parquet.schema.Types$MessageTypeBuilder.addFields([Lorg/apache/parquet/schema/Type;)Lorg/apache/parquet/schema/Types$BaseGroupBuilder;
```

######解決方案：
版本衝突所致，統一`hive`和`spark`中`parquet`組件版本






---
</br>
</br>
#####12.報錯信息以下:
```
Failed to execute spark task, with exception 'org.apache.hadoop.hive.ql.metadata.HiveException(Failed to create spark client.)'
```

######解決方案：
不要官網編譯好的spark，本身下載Spark源碼從新編譯，並保證編譯的Spark版本知足Hive源碼中pom.xml文件中對spark的一個大版本要求, 若使用Hive on Spark,則在編譯過程當中不帶Phive有關的任何參數










---
</br>
</br>
#####13.報錯信息以下:
```
java.lang.NoSuchFieldError: SPARK_RPC_SERVER_ADDRESS  at org.apache.hive.spark.client.rpc.RpcConfiguration.<clinit>(RpcConfiguration.java:45)
```

######解決方案：
不要官網編譯好的spark，本身下載Spark源碼從新編譯，並保證編譯的Spark版本知足Hive源碼中pom.xml文件中對spark的一個大版本要求, 若使用Hive on Spark,則在編譯過程當中不帶Phive有關的任何參數









---
</br>
</br>
</br>

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