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大数据工具篇之Hive与HBase整合完整教程

简介: 一、引言   最近的一次培训,用户特意提到Hadoop环境下HDFS中存储的文件如何才能导入到HBase,关于这部分基于HBase Java API的写入方式,之前曾经有过技术文章共享,本文就不再说明。
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一、引言

  最近的一次培训,用户特意提到Hadoop环境下HDFS中存储的文件如何才能导入到HBase,关于这部分基于HBase Java API的写入方式,之前曾经有过技术文章共享,本文就不再说明。本文基于Hive执行HDFS批量向HBase导入数据,讲解Hive与HBase的整合问题。这方面的文章已经很多,但是由于版本差异,可操作性不大,本文采用的版本均基于以下版本说明中的版本。

二、版本说明

序号 软件 版本
1 Hive  0.10.0
2 HBase 0.94.0
3 Hadoop 1.0.1

  

三、配置指南

  3.1 创建配置文件

  cp conf/hive-default.xml.template hive-default.xml

  cp conf/hive-default.xml.template hive-site.xml

  3.2 修改配置文件

  基于hive-default.xml.template进行拷贝复制的hive-site.xml文件有问题,主要集中在<description></description>标签不配对的情况,需要根据错误提示进行修改,修改完成后的配置文件如下所示:  

   1 <?xml version="1.0"?>
   2 <?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
   3 <!--
   4    Licensed to the Apache Software Foundation (ASF) under one or more
   5    contributor license agreements.  See the NOTICE file distributed with
   6    this work for additional information regarding copyright ownership.
   7    The ASF licenses this file to You under the Apache License, Version 2.0
   8    (the "License"); you may not use this file except in compliance with
   9    the License.  You may obtain a copy of the License at
  10 
  11        http://www.apache.org/licenses/LICENSE-2.0
  12 
  13    Unless required by applicable law or agreed to in writing, software
  14    distributed under the License is distributed on an "AS IS" BASIS,
  15    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  16    See the License for the specific language governing permissions and
  17    limitations under the License.
  18 -->
  19 
  20 <configuration>
  21 
  22 <!-- WARNING!!! This file is provided for documentation purposes ONLY!     -->
  23 <!-- WARNING!!! Any changes you make to this file will be ignored by Hive. -->
  24 <!-- WARNING!!! You must make your changes in hive-site.xml instead.       -->
  25 
  26 
  27 <!-- Hive Execution Parameters -->
  28 <property>
  29   <name>mapred.reduce.tasks</name>
  30   <value>-1</value>
  31     <description>The default number of reduce tasks per job.  Typically set
  32   to a prime close to the number of available hosts.  Ignored when
  33   mapred.job.tracker is "local". Hadoop set this to 1 by default, whereas hive uses -1 as its default value.
  34   By setting this property to -1, Hive will automatically figure out what should be the number of reducers.
  35   </description>
  36 </property>
  37 
  38 <property>
  39   <name>hive.exec.reducers.bytes.per.reducer</name>
  40   <value>1000000000</value>
  41   <description>size per reducer.The default is 1G, i.e if the input size is 10G, it will use 10 reducers.</description>
  42 </property>
  43 
  44 <property>
  45   <name>hive.exec.reducers.max</name>
  46   <value>999</value>
  47   <description>max number of reducers will be used. If the one
  48     specified in the configuration parameter mapred.reduce.tasks is
  49     negative, hive will use this one as the max number of reducers when
  50     automatically determine number of reducers.</description>
  51 </property>
  52 
  53 <property>
  54   <name>hive.cli.print.header</name>
  55   <value>false</value>
  56   <description>Whether to print the names of the columns in query output.</description>
  57 </property>
  58 
  59 <property>
  60   <name>hive.cli.print.current.db</name>
  61   <value>false</value>
  62   <description>Whether to include the current database in the hive prompt.</description>
  63 </property>
  64 
  65 <property>
  66   <name>hive.cli.prompt</name>
  67   <value>hive</value>
  68   <description>Command line prompt configuration value. Other hiveconf can be used in
  69         this configuration value. Variable substitution will only be invoked at the hive
  70         cli startup.</description>
  71 </property>
  72 
  73 <property>
  74   <name>hive.exec.scratchdir</name>
  75   <value>/tmp/hive-${user.name}</value>
  76   <description>Scratch space for Hive jobs</description>
  77 </property>
  78 
  79 <property>
  80   <name>hive.exec.local.scratchdir</name>
  81   <value>/tmp/${user.name}</value>
  82   <description>Local scratch space for Hive jobs</description>
  83 </property>
  84 
  85 <property>
  86   <name>hive.test.mode</name>
  87   <value>false</value>
  88   <description>whether hive is running in test mode. If yes, it turns on sampling and prefixes the output tablename</description>
  89 </property>
  90 
  91 <property>
  92   <name>hive.test.mode.prefix</name>
  93   <value>test_</value>
  94   <description>if hive is running in test mode, prefixes the output table by this string</description>
  95 </property>
  96 
  97 <!-- If the input table is not bucketed, the denominator of the tablesample is determinied by the parameter below   -->
  98 <!-- For example, the following query:                                                                              -->
  99 <!--   INSERT OVERWRITE TABLE dest                                                                                  -->
 100 <!--   SELECT col1 from src                                                                                         -->
 101 <!-- would be converted to                                                                                          -->
 102 <!--   INSERT OVERWRITE TABLE test_dest                                                                             -->
 103 <!--   SELECT col1 from src TABLESAMPLE (BUCKET 1 out of 32 on rand(1))                                             -->
 104 <property>
 105   <name>hive.test.mode.samplefreq</name>
 106   <value>32</value>
 107   <description>if hive is running in test mode and table is not bucketed, sampling frequency</description>
 108 </property>
 109 
 110 <property>
 111   <name>hive.test.mode.nosamplelist</name>
 112   <value></value>
 113   <description>if hive is running in test mode, dont sample the above comma seperated list of tables</description>
 114 </property>
 115 
 116 <property>
 117   <name>hive.metastore.uris</name>
 118   <value></value>
 119   <description>Thrift uri for the remote metastore. Used by metastore client to connect to remote metastore.</description>
 120 </property>
 121 
 122 <property>
 123   <name>javax.jdo.option.ConnectionURL</name>
 124   <value>jdbc:derby:;databaseName=metastore_db;create=true</value>
 125   <description>JDBC connect string for a JDBC metastore</description>
 126 </property>
 127 
 128 <property>
 129   <name>javax.jdo.option.ConnectionDriverName</name>
 130   <value>org.apache.derby.jdbc.EmbeddedDriver</value>
 131   <description>Driver class name for a JDBC metastore</description>
 132 </property>
 133 
 134 <property>
 135   <name>javax.jdo.PersistenceManagerFactoryClass</name>
 136   <value>org.datanucleus.jdo.JDOPersistenceManagerFactory</value>
 137   <description>class implementing the jdo persistence</description>
 138 </property>
 139 
 140 <property>
 141   <name>javax.jdo.option.DetachAllOnCommit</name>
 142   <value>true</value>
 143   <description>detaches all objects from session so that they can be used after transaction is committed</description>
 144 </property>
 145 
 146 <property>
 147   <name>javax.jdo.option.NonTransactionalRead</name>
 148   <value>true</value>
 149   <description>reads outside of transactions</description>
 150 </property>
 151 
 152 <property>
 153   <name>javax.jdo.option.ConnectionUserName</name>
 154   <value>APP</value>
 155   <description>username to use against metastore database</description>
 156 </property>
 157 
 158 <property>
 159   <name>javax.jdo.option.ConnectionPassword</name>
 160   <value>mine</value>
 161   <description>password to use against metastore database</description>
 162 </property>
 163 
 164 <property>
 165   <name>javax.jdo.option.Multithreaded</name>
 166   <value>true</value>
 167   <description>Set this to true if multiple threads access metastore through JDO concurrently.</description>
 168 </property>
 169 
 170 <property>
 171   <name>datanucleus.connectionPoolingType</name>
 172   <value>DBCP</value>
 173   <description>Uses a DBCP connection pool for JDBC metastore</description>
 174 </property>
 175 
 176 <property>
 177   <name>datanucleus.validateTables</name>
 178   <value>false</value>
 179   <description>validates existing schema against code. turn this on if you want to verify existing schema </description>
 180 </property>
 181 
 182 <property>
 183   <name>datanucleus.validateColumns</name>
 184   <value>false</value>
 185   <description>validates existing schema against code. turn this on if you want to verify existing schema </description>
 186 </property>
 187 
 188 <property>
 189   <name>datanucleus.validateConstraints</name>
 190   <value>false</value>
 191   <description>validates existing schema against code. turn this on if you want to verify existing schema </description>
 192 </property>
 193 
 194 <property>
 195   <name>datanucleus.storeManagerType</name>
 196   <value>rdbms</value>
 197   <description>metadata store type</description>
 198 </property>
 199 
 200 <property>
 201   <name>datanucleus.autoCreateSchema</name>
 202   <value>true</value>
 203   <description>creates necessary schema on a startup if one doesn't exist. set this to false, after creating it once</description>
 204 </property>
 205 
 206 <property>
 207   <name>datanucleus.autoStartMechanismMode</name>
 208   <value>checked</value>
 209   <description>throw exception if metadata tables are incorrect</description>
 210 </property>
 211 
 212 <property>
 213   <name>datanucleus.transactionIsolation</name>
 214   <value>read-committed</value>
 215   <description>Default transaction isolation level for identity generation. </description>
 216 </property>
 217 
 218 <property>
 219   <name>datanucleus.cache.level2</name>
 220   <value>false</value>
 221   <description>Use a level 2 cache. Turn this off if metadata is changed independently of hive metastore server</description>
 222 </property>
 223 
 224 <property>
 225   <name>datanucleus.cache.level2.type</name>
 226   <value>SOFT</value>
 227   <description>SOFT=soft reference based cache, WEAK=weak reference based cache.</description>
 228 </property>
 229 
 230 <property>
 231   <name>datanucleus.identifierFactory</name>
 232   <value>datanucleus</value>
 233   <description>Name of the identifier factory to use when generating table/column names etc. 'datanucleus' is used for backward compatibility</description>
 234 </property>
 235 
 236 <property>
 237   <name>datanucleus.plugin.pluginRegistryBundleCheck</name>
 238   <value>LOG</value>
 239   <description>Defines what happens when plugin bundles are found and are duplicated [EXCEPTION|LOG|NONE]</description>
 240 </property>
 241 
 242 <property>
 243   <name>hive.metastore.warehouse.dir</name>
 244   <value>/user/hive/warehouse</value>
 245   <description>location of default database for the warehouse</description>
 246 </property>
 247 
 248 <property>
 249   <name>hive.metastore.execute.setugi</name>
 250   <value>false</value>
 251   <description>In unsecure mode, setting this property to true will cause the metastore to execute DFS operations using the client's reported user and group permissions. Note that this property must be set on both the client and server sides. Further note that its best effort. If client sets its to true and server sets it to false, client setting will be ignored.</description>
 252 </property>
 253 
 254 <property>
 255   <name>hive.metastore.event.listeners</name>
 256   <value></value>
 257   <description>list of comma seperated listeners for metastore events.</description>
 258 </property>
 259 
 260 <property>
 261   <name>hive.metastore.partition.inherit.table.properties</name>
 262   <value></value>
 263   <description>list of comma seperated keys occurring in table properties which will get inherited to newly created partitions. * implies all the keys will get inherited.</description>
 264 </property>
 265 
 266 <property>
 267   <name>hive.metadata.export.location</name>
 268   <value></value>
 269   <description>When used in conjunction with the org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event listener, it is the location to which the metadata will be exported. The default is an empty string, which results in the metadata being exported to the current user's home directory on HDFS.</description>
 270 </property>
 271 
 272 <property>
 273   <name>hive.metadata.move.exported.metadata.to.trash</name>
 274   <value></value>
 275   <description>When used in conjunction with the org.apache.hadoop.hive.ql.parse.MetaDataExportListener pre event listener, this setting determines if the metadata that is exported will subsequently be moved to the user's trash directory alongside the dropped table data. This ensures that the metadata will be cleaned up along with the dropped table data.</description>
 276 </property>
 277 
 278 <property>
 279   <name>hive.metastore.partition.name.whitelist.pattern</name>
 280   <value></value>
 281   <description>Partition names will be checked against this regex pattern and rejected if not matched.  To use, enable hive.metastore.pre.event.listeners=org.apache.hadoop.hive.metastore.PartitionNameWhitelistPreEventListener  Listener will not register if this property value is empty.</description>
 282 </property>
 283 
 284 <property>
 285   <name>hive.metastore.end.function.listeners</name>
 286   <value></value>
 287   <description>list of comma separated listeners for the end of metastore functions.</description>
 288 </property>
 289 
 290 <property>
 291   <name>hive.metastore.event.expiry.duration</name>
 292   <value>0</value>
 293   <description>Duration after which events expire from events table (in seconds)</description>
 294 </property>
 295 
 296 <property>
 297   <name>hive.metastore.event.clean.freq</name>
 298   <value>0</value>
 299   <description>Frequency at which timer task runs to purge expired events in metastore(in seconds).</description>
 300 </property>
 301 
 302 <property>
 303   <name>hive.metastore.connect.retries</name>
 304   <value>5</value>
 305   <description>Number of retries while opening a connection to metastore</description>
 306 </property>
 307 
 308 <property>
 309   <name>hive.metastore.failure.retries</name>
 310   <value>3</value>
 311   <description>Number of retries upon failure of Thrift metastore calls</description>
 312 </property>
 313 
 314 <property>
 315   <name>hive.metastore.client.connect.retry.delay</name>
 316   <value>1</value>
 317   <description>Number of seconds for the client to wait between consecutive connection attempts</description>
 318 </property>
 319 
 320 <property>
 321   <name>hive.metastore.client.socket.timeout</name>
 322   <value>20</value>
 323   <description>MetaStore Client socket timeout in seconds</description>
 324 </property>
 325 
 326 <property>
 327   <name>hive.metastore.rawstore.impl</name>
 328   <value>org.apache.hadoop.hive.metastore.ObjectStore</value>
 329   <description>Name of the class that implements org.apache.hadoop.hive.metastore.rawstore interface. This class is used to store and retrieval of raw metadata objects such as table, database</description>
 330 </property>
 331 
 332 <property>
 333   <name>hive.metastore.batch.retrieve.max</name>
 334   <value>300</value>
 335   <description>Maximum number of objects (tables/partitions) can be retrieved from metastore in one batch. The higher the number, the less the number of round trips is needed to the Hive metastore server, but it may also cause higher memory requirement at the client side.</description>
 336 </property>
 337 
 338 <property>
 339   <name>hive.metastore.batch.retrieve.table.partition.max</name>
 340   <value>1000</value>
 341   <description>Maximum number of table partitions that metastore internally retrieves in one batch.</description>
 342 </property>
 343 
 344 <property>
 345   <name>hive.default.fileformat</name>
 346   <value>TextFile</value>
 347   <description>Default file format for CREATE TABLE statement. Options are TextFile and SequenceFile. Users can explicitly say CREATE TABLE ... STORED AS &lt;TEXTFILE|SEQUENCEFILE&gt; to override</description>
 348 </property>
 349 
 350 <property>
 351   <name>hive.fileformat.check</name>
 352   <value>true</value>
 353   <description>Whether to check file format or not when loading data files</description>
 354 </property>
 355 
 356 <property>
 357   <name>hive.map.aggr</name>
 358   <value>true</value>
 359   <description>Whether to use map-side aggregation in Hive Group By queries</description>
 360 </property>
 361 
 362 <property>
 363   <name>hive.groupby.skewindata</name>
 364   <value>false</value>
 365   <description>Whether there is skew in data to optimize group by queries</description>
 366 </property>
 367 
 368 <property>
 369   <name>hive.groupby.mapaggr.checkinterval</name>
 370   <value>100000</value>
 371   <description>Number of rows after which size of the grouping keys/aggregation classes is performed</description>
 372 </property>
 373 
 374 <property>
 375   <name>hive.mapred.local.mem</name>
 376   <value>0</value>
 377   <description>For local mode, memory of the mappers/reducers</description>
 378 </property>
 379 
 380 <property>
 381   <name>hive.mapjoin.followby.map.aggr.hash.percentmemory</name>
 382   <value>0.3</value>
 383   <description>Portion of total memory to be used by map-side grup aggregation hash table, when this group by is followed by map join</description>
 384 </property>
 385 
 386 <property>
 387   <name>hive.map.aggr.hash.force.flush.memory.threshold</name>
 388   <value>0.9</value>
 389   <description>The max memory to be used by map-side grup aggregation hash table, if the memory usage is higher than this number, force to flush data</description>
 390 </property>
 391 
 392 <property>
 393   <name>hive.map.aggr.hash.percentmemory</name>
 394   <value>0.5</value>
 395   <description>Portion of total memory to be used by map-side grup aggregation hash table</description>
 396 </property>
 397 
 398 <property>
 399   <name>hive.map.aggr.hash.min.reduction</name>
 400   <value>0.5</value>
 401   <description>Hash aggregation will be turned off if the ratio between hash
 402   table size and input rows is bigger than this number. Set to 1 to make sure
 403   hash aggregation is never turned off.</description>
 404 </property>
 405 
 406 <property>
 407   <name>hive.optimize.cp</name>
 408   <value>true</value>
 409   <description>Whether to enable column pruner</description>
 410 </property>
 411 
 412 <property>
 413   <name>hive.optimize.index.filter</name>
 414   <value>false</value>
 415   <description>Whether to enable automatic use of indexes</description>
 416 </property>
 417 
 418 <property>
 419   <name>hive.optimize.index.groupby</name>
 420   <value>false</value>
 421   <description>Whether to enable optimization of group-by queries using Aggregate indexes.</description>
 422 </property>
 423 
 424 <property>
 425   <name>hive.optimize.ppd</name>
 426   <value>true</value>
 427   <description>Whether to enable predicate pushdown</description>
 428 </property>
 429 
 430 <property>
 431   <name>hive.optimize.ppd.storage</name>
 432   <value>true</value>
 433   <description>Whether to push predicates down into storage handlers.  Ignored when hive.optimize.ppd is false.</description>
 434 </property>
 435 
 436 <property>
 437   <name>hive.ppd.recognizetransivity</name>
 438   <value>true</value>
 439   <description>Whether to transitively replicate predicate filters over equijoin conditions.</description>
 440 </property>
 441 
 442 <property>
 443   <name>hive.optimize.groupby</name>
 444   <value>true</value>
 445   <description>Whether to enable the bucketed group by from bucketed partitions/tables.</description>
 446 </property>
 447 
 448 <property>
 449   <name>hive.optimize.skewjoin.compiletime</name>
 450   <value>false</value>
 451   <description>Whether to create a separate plan for skewed keys for the tables in the join.
 452     This is based on the skewed keys stored in the metadata. At compile time, the plan is broken
 453     into different joins: one for the skewed keys, and the other for the remaining keys. And then,
 454     a union is performed for the 2 joins generated above. So unless the same skewed key is present
 455     in both the joined tables, the join for the skewed key will be performed as a map-side join.
 456 
 457     The main difference between this paramater and hive.optimize.skewjoin is that this parameter
 458     uses the skew information stored in the metastore to optimize the plan at compile time itself.
 459     If there is no skew information in the metadata, this parameter will not have any affect.
 460     Both hive.optimize.skewjoin.compiletime and hive.optimize.skewjoin should be set to true.
 461     Ideally, hive.optimize.skewjoin should be renamed as hive.optimize.skewjoin.runtime, but not doing
 462     so for backward compatibility.
 463 
 464     If the skew information is correctly stored in the metadata, hive.optimize.skewjoin.compiletime
 465     would change the query plan to take care of it, and hive.optimize.skewjoin will be a no-op.
 466   </description>
 467 </property>
 468 
 469 <property>
 470   <name>hive.optimize.union.remove</name>
 471   <value>false</value>
 472   <description>
 473     Whether to remove the union and push the operators between union and the filesink above
 474     union. This avoids an extra scan of the output by union. This is independently useful for union
 475     queries, and specially useful when hive.optimize.skewjoin.compiletime is set to true, since an
 476     extra union is inserted.
 477 
 478     The merge is triggered if either of hive.merge.mapfiles or hive.merge.mapredfiles is set to true.
 479     If the user has set hive.merge.mapfiles to true and hive.merge.mapredfiles to false, the idea was the
 480     number of reducers are few, so the number of files anyway are small. However, with this optimization,
 481     we are increasing the number of files possibly by a big margin. So, we merge aggresively.
 482    </description>
 483 </property>
 484 
 485 <property>
 486   <name>hive.mapred.supports.subdirectories</name>
 487   <value>false</value>
 488       <description>Whether the version of hadoop which is running supports sub-directories for tables/partitions.
 489     Many hive optimizations can be applied if the hadoop version supports sub-directories for
 490     tables/partitions. It was added by MAPREDUCE-1501
 491     </description>
 492 </property>
 493 
 494 <property>
 495   <name>hive.multigroupby.singlemr</name>
 496   <value>false</value>
 497   <description>Whether to optimize multi group by query to generate single M/R
 498   job plan. If the multi group by query has common group by keys, it will be
 499   optimized to generate single M/R job.</description>
 500 </property>
 501 
 502 <property>
 503   <name>hive.map.groupby.sorted</name>
 504   <value>false</value>
 505   <description>If the bucketing/sorting properties of the table exactly match the grouping key, whether to
 506     perform the group by in the mapper by using BucketizedHiveInputFormat. The only downside to this
 507     is that it limits the number of mappers to the number of files.
 508   </description>
 509 </property>
 510 
 511 <property>
 512   <name>hive.join.emit.interval</name>
 513   <value>1000</value>
 514   <description>How many rows in the right-most join operand Hive should buffer before emitting the join result. </description>
 515 </property>
 516 
 517 <property>
 518   <name>hive.join.cache.size</name>
 519   <value>25000</value>
 520   <description>How many rows in the joining tables (except the streaming table) should be cached in memory. </description>
 521 </property>
 522 
 523 <property>
 524   <name>hive.mapjoin.bucket.cache.size</name>
 525   <value>100</value>
 526   <description>How many values in each keys in the map-joined table should be cached in memory. </description>
 527 </property>
 528 
 529 <property>
 530   <name>hive.mapjoin.cache.numrows</name>
 531   <value>25000</value>
 532   <description>How many rows should be cached by jdbm for map join. </description>
 533 </property>
 534 
 535 <property>
 536   <name>hive.optimize.skewjoin</name>
 537   <value>false</value>
 538   <description>Whether to enable skew join optimization.
 539     The algorithm is as follows: At runtime, detect the keys with a large skew. Instead of
 540     processing those keys, store them temporarily in a hdfs directory. In a follow-up map-reduce
 541     job, process those skewed keys. The same key need not be skewed for all the tables, and so,
 542     the follow-up map-reduce job (for the skewed keys) would be much faster, since it would be a
 543     map-join.
 544 </description>
 545 </property>
 546 
 547 <property>
 548   <name>hive.exec.list.bucketing.default.dir</name>
 549   <value>HIVE_DEFAULT_LIST_BUCKETING_DIR_NAME</value>
 550   <description>Default directory name used in list bucketing.
 551     List bucketing feature will create sub-directory for each skewed-value and a default directory
 552     for non-skewed value. This config specifies the default name for the default directory.
 553     Sub-directory is created by list bucketing DML and under partition directory. User doesn't need 
 554     to know how to construct the canonical path. It just gives user choice if they want to change 
 555     the default directory name.
 556     For example, there are 2 skewed column c1 and c2. 2 skewed value: (1,a) and (2,b). subdirectory:
 557     <partition-dir>/c1=1/c2=a/</partition-dir>
 558     <partition-dir>/c1=2/c2=b/</partition-dir>
 559     <partition-dir>/HIVE_DEFAULT_LIST_BUCKETING_DIR_NAME/HIVE_DEFAULT_LIST_BUCKETING_DIR_NAME/</partition-dir>
 560     Note: This config won't impact users if they don't list bucketing.
 561     </description>
 562 </property>
 563 
 564 <property>
 565   <name>hive.skewjoin.key</name>
 566   <value>100000</value>
 567   <description>Determine if we get a skew key in join. If we see more
 568     than the specified number of rows with the same key in join operator,
 569     we think the key as a skew join key. </description>
 570 </property>
 571 
 572 <property>
 573   <name>hive.skewjoin.mapjoin.map.tasks</name>
 574   <value>10000</value>
 575   <description> Determine the number of map task used in the follow up map join job
 576     for a skew join. It should be used together with hive.skewjoin.mapjoin.min.split
 577     to perform a fine grained control.</description>
 578 </property>
 579 
 580 <property>
 581   <name>hive.skewjoin.mapjoin.min.split</name>
 582   <value>33554432</value>
 583   <description> Determine the number of map task at most used in the follow up map join job
 584     for a skew join by specifying the minimum split size. It should be used together with
 585     hive.skewjoin.mapjoin.map.tasks to perform a fine grained control.</description>
 586 </property>
 587 
 588 <property>
 589   <name>hive.mapred.mode</name>
 590   <value>nonstrict</value>
 591   <description>The mode in which the hive operations are being performed.
 592      In strict mode, some risky queries are not allowed to run. They include:
 593        Cartesian Product.
 594        No partition being picked up for a query.
 595        Comparing bigints and strings.
 596        Comparing bigints and doubles.
 597        Orderby without limit.
 598   </description>
 599 </property>
 600 
 601 <property>
 602   <name>hive.enforce.bucketmapjoin</name>
 603   <value>false</value>
 604   <description>If the user asked for bucketed map-side join, and it cannot be performed,
 605     should the query fail or not ? For eg, if the buckets in the tables being joined are
 606     not a multiple of each other, bucketed map-side join cannot be performed, and the
 607     query will fail if hive.enforce.bucketmapjoin is set to true.
 608   </description>
 609 </property>
 610 
 611 <property>
 612   <name>hive.exec.script.maxerrsize</name>
 613   <value>100000</value>
 614   <description>Maximum number of bytes a script is allowed to emit to standard error (per map-reduce task). This prevents runaway scripts from filling logs partitions to capacity </description>
 615 </property>
 616 
 617 <property>
 618   <name>hive.exec.script.allow.partial.consumption</name>
 619   <value>false</value>
 620   <description> When enabled, this option allows a user script to exit successfully without consuming all the data from the standard input.
 621   </description>
 622 </property>
 623 
 624 <property>
 625   <name>hive.script.operator.id.env.var</name>
 626   <value>HIVE_SCRIPT_OPERATOR_ID</value>
 627   <description> Name of the environment variable that holds the unique script operator ID in the user's transform function (the custom mapper/reducer that the user has specified in the query)
 628   </description>
 629 </property>
 630 
 631 <property>
 632   <name>hive.script.operator.truncate.env</name>
 633   <value>false</value>
 634   <description>Truncate each environment variable for external script in scripts operator to 20KB (to fit system limits)</description>
 635 </property>
 636 
 637 <property>
 638   <name>hive.exec.compress.output</name>
 639   <value>false</value>
 640   <description> This controls whether the final outputs of a query (to a local/hdfs file or a hive table) is compressed. The compression codec and other options are determined from hadoop config variables mapred.output.compress* </description>
 641 </property>
 642 
 643 <property>
 644   <name>hive.exec.compress.intermediate</name>
 645   <value>false</value>
 646   <description> This controls whether intermediate files produced by hive between multiple map-reduce jobs are compressed. The compression codec and other options are determined from hadoop config variables mapred.output.compress* </description>
 647 </property>
 648 
 649 <property>
 650   <name>hive.exec.parallel</name>
 651   <value>false</value>
 652   <description>Whether to execute jobs in parallel</description>
 653 </property>
 654 
 655 <property>
 656   <name>hive.exec.parallel.thread.number</name>
 657   <value>8</value>
 658   <description>How many jobs at most can be executed in parallel</description>
 659 </property>
 660 
 661 <property>
 662   <name>hive.exec.rowoffset</name>
 663   <value>false</value>
 664   <description>Whether to provide the row offset virtual column</description>
 665 </property>
 666 
 667 <property>
 668   <name>hive.task.progress</name>
 669   <value>false</value>
 670   <description>Whether Hive should periodically update task progress counters during execution.  Enabling this allows task progress to be monitored more closely in the job tracker, but may impose a performance penalty.  This flag is automatically set to true for jobs with hive.exec.dynamic.partition set to true.</description>
 671 </property>
 672 
 673 <property>
 674   <name>hive.hwi.war.file</name>
 675   <value>lib/hive-hwi-0.10.0.war</value>
 676   <description>This sets the path to the HWI war file, relative to ${HIVE_HOME}. </description>
 677 </property>
 678 
 679 <property>
 680   <name>hive.hwi.listen.host</name>
 681   <value>0.0.0.0</value>
 682   <description>This is the host address the Hive Web Interface will listen on</description>
 683 </property>
 684 
 685 <property>
 686   <name>hive.hwi.listen.port</name>
 687   <value>9999</value>
 688   <description>This is the port the Hive Web Interface will listen on</description>
 689 </property>
 690 
 691 <property>
 692   <name>hive.exec.pre.hooks</name>
 693   <value></value>
 694   <description>Comma-separated list of pre-execution hooks to be invoked for each statement.  A pre-execution hook is specified as the name of a Java class which implements the org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.</description>
 695 </property>
 696 
 697 <property>
 698   <name>hive.exec.post.hooks</name>
 699   <value></value>
 700   <description>Comma-separated list of post-execution hooks to be invoked for each statement.  A post-execution hook is specified as the name of a Java class which implements the org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.</description>
 701 </property>
 702 
 703 <property>
 704   <name>hive.exec.failure.hooks</name>
 705   <value></value>
 706   <description>Comma-separated list of on-failure hooks to be invoked for each statement.  An on-failure hook is specified as the name of Java class which implements the org.apache.hadoop.hive.ql.hooks.ExecuteWithHookContext interface.</description>
 707 </property>
 708 
 709 <property>
 710   <name>hive.client.stats.publishers</name>
 711   <value></value>
 712   <description>Comma-separated list of statistics publishers to be invoked on counters on each job.  A client stats publisher is specified as the name of a Java class which implements the org.apache.hadoop.hive.ql.stats.ClientStatsPublisher interface.</description>
 713 </property>
 714 
 715 <property>
 716   <name>hive.client.stats.counters</name>
 717   <value></value>
 718   <description>Subset of counters that should be of interest for hive.client.stats.publishers (when one wants to limit their publishing). Non-display names should be used</description>
 719 </property>
 720 
 721 <property>
 722   <name>hive.merge.mapfiles</name>
 723   <value>true</value>
 724   <description>Merge small files at the end of a map-only job</description>
 725 </property>
 726 
 727 <property>
 728   <name>hive.merge.mapredfiles</name>
 729   <value>false</value>
 730   <description>Merge small files at the end of a map-reduce job</description>
 731 </property>
 732 
 733 <property>
 734   <name>hive.mergejob.maponly</name>
 735   <value>true</value>
 736   <description>Try to generate a map-only job for merging files if CombineHiveInputFormat is supported.</description>
 737 </property>
 738 
 739 <property>
 740   <name>hive.heartbeat.interval</name>
 741   <value>1000</value>
 742   <description>Send a heartbeat after this interval - used by mapjoin and filter operators</description>
 743 </property>
 744 
 745 <property>
 746   <name>hive.merge.size.per.task</name>
 747   <value>256000000</value>
 748   <description>Size of merged files at the end of the job</description>
 749 </property>
 750 
 751 <property>
 752   <name>hive.merge.smallfiles.avgsize</name>
 753   <value>16000000</value>
 754   <description>When the average output file size of a job is less than this number, Hive will start an additional map-reduce job to merge the output files into bigger files.  This is only done for map-only jobs if hive.merge.mapfiles is true, and for map-reduce jobs if hive.merge.mapredfiles is true.</description>
 755 </property>
 756 
 757 <property>
 758   <name>hive.mapjoin.smalltable.filesize</name>
 759   <value>25000000</value>
 760   <description>The threshold for the input file size of the small tables; if the file size is smaller than this threshold, it will try to convert the common join into map join</description>
 761 </property>
 762 
 763 <property>
 764   <name>hive.mapjoin.localtask.max.memory.usage</name>
 765   <value>0.90</value>
 766   <description>This number means how much memory the local task can take to hold the key/value into in-memory hash table; If the local task's memory usage is more than this number, the local task will be abort by themself. It means the data of small table is too large to be hold in the memory.</description>
 767 </property>
 768 
 769 <property>
 770   <name>hive.mapjoin.followby.gby.localtask.max.memory.usage</name>
 771   <value>0.55</value>
 772   <description>This number means how much memory the local task can take to hold the key/value into in-memory hash table when this map join followed by a group by; If the local task's memory usage is more than this number, the local task will be abort by themself. It means the data of small table is too large to be hold in the memory.</description>
 773 </property>
 774 
 775 <property>
 776   <name>hive.mapjoin.check.memory.rows</name>
 777   <value>100000</value>
 778   <description>The number means after how many rows processed it needs to check the memory usage</description>
 779 </property>
 780 
 781 <property>
 782   <name>hive.auto.convert.join</name>
 783   <value>false</value>
 784   <description>Whether Hive enable the optimization about converting common join into mapjoin based on the input file size</description>
 785 </property>
 786 
 787 
 788 <property>
 789   <name>hive.script.auto.progress</name>
 790   <value>false</value>
 791   <description>Whether Hive Tranform/Map/Reduce Clause should automatically send progress information to TaskTracker to avoid the task getting killed because of inactivity.  Hive sends progress information when the script is outputting to stderr.  This option removes the need of periodically producing stderr messages, but users should be cautious because this may prevent infinite loops in the scripts to be killed by TaskTracker.  </description>
 792 </property>
 793 
 794 <property>
 795   <name>hive.script.serde</name>
 796   <value>org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe</value>
 797   <description>The default serde for trasmitting input data to and reading output data from the user scripts. </description>
 798 </property>
 799 
 800 <property>
 801   <name>hive.binary.record.max.length</name>
 802   <value>1000</value>
 803   <description>Read from a binary stream and treat each hive.binary.record.max.length bytes as a record.
 804   The last record before the end of stream can have less than hive.binary.record.max.length bytes</description>
 805 </property>
 806 
 807 
 808 <property>
 809   <name>hive.script.recordreader</name>
 810   <value>org.apache.hadoop.hive.ql.exec.TextRecordReader</value>
 811   <description>The default record reader for reading data from the user scripts. </description>
 812 </property>
 813 
 814 <property>
 815   <name>hive.script.recordwriter</name>
 816   <value>org.apache.hadoop.hive.ql.exec.TextRecordWriter</value>
 817   <description>The default record writer for writing data to the user scripts. </description>
 818 </property>
 819 
 820 <property>
 821   <name>hive.input.format</name>
 822   <value>org.apache.hadoop.hive.ql.io.CombineHiveInputFormat</value>
 823   <description>The default input format. Set this to HiveInputFormat if you encounter problems with CombineHiveInputFormat.</description>
 824 </property>
 825 
 826 <property>
 827   <name>hive.udtf.auto.progress</name>
 828   <value>false</value>
 829   <description>Whether Hive should automatically send progress information to TaskTracker when using UDTF's to prevent the task getting killed because of inactivity.  Users should be cautious because this may prevent TaskTracker from killing tasks with infinte loops.  </description>
 830 </property>
 831 
 832 <property>
 833   <name>hive.mapred.reduce.tasks.speculative.execution</name>
 834   <value>true</value>
 835   <description>Whether speculative execution for reducers should be turned on. </description>
 836 </property>
 837 
 838 <property>
 839   <name>hive.exec.counters.pull.interval</name>
 840   <value>1000</value>
 841   <description>The interval with which to poll the JobTracker for the counters the running job. The smaller it is the more load there will be on the jobtracker, the higher it is the less granular the caught will be.</description>
 842 </property>
 843 
 844 <property>
 845   <name>hive.querylog.location</name>
 846   <value>/tmp/${user.name}</value>
 847   <description>
 848     Location of Hive run time structured log file
 849   </description>
 850 </property>
 851 
 852 <property>
 853   <name>hive.querylog.enable.plan.progress</name>
 854   <value>true</value>
 855   <description>
 856     Whether to log the plan's progress every time a job's progress is checked.
 857     These logs are written to the location specified by hive.querylog.location
 858   </description>
 859 </property>
 860 
 861 <property>
 862   <name>hive.querylog.plan.progress.interval</name>
 863   <value>60000</value>
 864   <description>
 865     The interval to wait between logging the plan's progress in milliseconds.
 866     If there is a whole number percentage change in the progress of the mappers or the reducers,
 867     the progress is logged regardless of this value.
 868     The actual interval will be the ceiling of (this value divided by the value of
 869     hive.exec.counters.pull.interval) multiplied by the value of hive.exec.counters.pull.interval
 870     I.e. if it is not divide evenly by the value of hive.exec.counters.pull.interval it will be
 871     logged less frequently than specified.
 872     This only has an effect if hive.querylog.enable.plan.progress is set to true.
 873   </description>
 874 </property>
 875 
 876 <property>
 877   <name>hive.enforce.bucketing</name>
 878   <value>false</value>
 879   <description>Whether bucketing is enforced. If true, while inserting into the table, bucketing is enforced. </description>
 880 </property>
 881 
 882 <property>
 883   <name>hive.enforce.sorting</name>
 884   <value>false</value>
 885   <description>Whether sorting is enforced. If true, while inserting into the table, sorting is enforced. </description>
 886 </property>
 887 
 888 <property>
 889   <name>hive.enforce.sortmergebucketmapjoin</name>
 890   <value>false</value>
 891   <description>If the user asked for sort-merge bucketed map-side join, and it cannot be performed,
 892     should the query fail or not ?
 893   </description>
 894 </property>
 895 
 896 <property>
 897   <name>hive.metastore.ds.connection.url.hook</name>
 898   <value></value>
 899   <description>Name of the hook to use for retriving the JDO connection URL. If empty, the value in javax.jdo.option.ConnectionURL is used </description>
 900 </property>
 901 
 902 <property>
 903   <name>hive.metastore.ds.retry.attempts</name>
 904   <value>1</value>
 905   <description>The number of times to retry a metastore call if there were a connection error</description>
 906 </property>
 907 
 908 <property>
 909    <name>hive.metastore.ds.retry.interval</name>
 910    <value>1000</value>
 911    <description>The number of miliseconds between metastore retry attempts</description>
 912 </property>
 913 
 914 <property>
 915   <name>hive.metastore.server.min.threads</name>
 916   <value>200</value>
 917   <description>Minimum number of worker threads in the Thrift server's pool.</description>
 918 </property>
 919 
 920 <property>
 921   <name>hive.metastore.server.max.threads</name>
 922   <value>100000</value>
 923   <description>Maximum number of worker threads in the Thrift server's pool.</description>
 924 </property>
 925 
 926 <property>
 927   <name>hive.metastore.server.tcp.keepalive</name>
 928   <value>true</value>
 929   <description>Whether to enable TCP keepalive for the metastore server. Keepalive will prevent accumulation of half-open connections.</description>
 930 </property>
 931 
 932 <property>
 933   <name>hive.metastore.sasl.enabled</name>
 934   <value>false</value>
 935   <description>If true, the metastore thrift interface will be secured with SASL. Clients must authenticate with Kerberos.</description>
 936 </property>
 937 
 938 <property>
 939   <name>hive.metastore.thrift.framed.transport.enabled</name>
 940   <value>false</value>
 941   <description>If true, the metastore thrift interface will use TFramedTransport. When false (default) a standard TTransport is used.</description>
 942 </property>
 943 
 944 <property>
 945   <name>hive.metastore.kerberos.keytab.file</name>
 946   <value></value>
 947   <description>The path to the Kerberos Keytab file containing the metastore thrift server's service principal.</description>
 948 </property>
 949 
 950 <property>
 951   <name>hive.metastore.kerberos.principal</name>
 952   <value>hive-metastore/_HOST@EXAMPLE.COM</value>
 953   <description>The service principal for the metastore thrift server. The special string _HOST will be replaced automatically with the correct host name.</description>
 954 </property>
 955 
 956 <property>
 957   <name>hive.cluster.delegation.token.store.class</name>
 958   <value>org.apache.hadoop.hive.thrift.MemoryTokenStore</value>
 959   <description>The delegation token store implementation. Set to org.apache.hadoop.hive.thrift.ZooKeeperTokenStore for load-balanced cluster.</description>
 960 </property>
 961 
 962 <property>
 963   <name>hive.cluster.delegation.token.store.zookeeper.connectString</name>
 964   <value>localhost:2181</value>
 965   <description>The ZooKeeper token store connect string.</description>
 966 </property>
 967 
 968 <property>
 969   <name>hive.cluster.delegation.token.store.zookeeper.znode</name>
 970   <value>/hive/cluster/delegation</value>
 971   <description>The root path for token store data.</description>
 972 </property>
 973 
 974 <property>
 975   <name>hive.cluster.delegation.token.store.zookeeper.acl</name>
 976   <value>sasl:hive/host1@EXAMPLE.COM:cdrwa,sasl:hive/host2@EXAMPLE.COM:cdrwa</value>
 977   <description>ACL for token store entries. List comma separated all server principals for the cluster.</description>
 978 </property>
 979 
 980 <property>
 981   <name>hive.metastore.cache.pinobjtypes</name>
 982   <value>Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order</value>
 983   <description>List of comma separated metastore object types that should be pinned in the cache</description>
 984 </property>
 985 
 986 <property>
 987   <name>hive.optimize.reducededuplication</name>
 988   <value>true</value>
 989   <description>Remove extra map-reduce jobs if the data is already clustered by the same key which needs to be used again. This should always be set to true. Since it is a new feature, it has been made configurable.</description>
 990 </property>
 991 
 992 <property>
 993   <name>hive.exec.dynamic.partition</name>
 994   <value>true</value>
 995   <description>Whether or not to allow dynamic partitions in DML/DDL.</description>
 996 </property>
 997 
 998 <property>
 999   <name>hive.exec.dynamic.partition.mode</name>
1000   <value>strict</value>
1001   <description>In strict mode, the user must specify at least one static partition in case the user accidentally overwrites all partitions.</description>
1002 </property>
1003 
1004 <property>
1005   <name>hive.exec.max.dynamic.partitions</name>
1006   <value>1000</value>
1007   <description>Maximum number of dynamic partitions allowed to be created in total.</description>
1008 </property>
1009 
1010 <property>
1011   <name>hive.exec.max.dynamic.partitions.pernode</name>
1012   <value>100</value>
1013   <description>Maximum number of dynamic partitions allowed to be created in each mapper/reducer node.</description>
1014 </property>
1015 
1016 <property>
1017   <name>hive.exec.max.created.files</name>
1018   <value>100000</value>
1019   <description>Maximum number of HDFS files created by all mappers/reducers in a MapReduce job.</description>
1020 </property>
1021 
1022 <property>
1023   <name>hive.exec.default.partition.name</name>
1024   <value>__HIVE_DEFAULT_PARTITION__</value>
1025   <description>The default partition name in case the dynamic partition column value is null/empty string or anyother values that cannot be escaped. This value must not contain any special character used in HDFS URI (e.g., ':', '%', '/' etc). The user has to be aware that the dynamic partition value should not contain this value to avoid confusions.</description>
1026 </property>
1027 
1028 <property>
1029   <name>hive.stats.dbclass</name>
1030   <value>jdbc:derby</value>
1031   <description>The default database that stores temporary hive statistics.</description>
1032 </property>
1033 
1034 <property>
1035   <name>hive.stats.autogather</name>
1036   <value>true</value>
1037   <description>A flag to gather statistics automatically during the INSERT OVERWRITE command.</description>
1038 </property>
1039 
1040 <property>
1041   <name>hive.stats.jdbcdriver</name>
1042   <value>org.apache.derby.jdbc.EmbeddedDriver</value>
1043   <description>The JDBC driver for the database that stores temporary hive statistics.</description>
1044 </property>
1045 
1046 <property>
1047   <name>hive.stats.dbconnectionstring</name>
1048   <value>jdbc:derby:;databaseName=TempStatsStore;create=true</value>
1049   <description>The default connection string for the database that stores temporary hive statistics.</description>
1050 </property>
1051 
1052 <property>
1053   <name>hive.stats.default.publisher</name>
1054   <value></value>
1055   <description>The Java class (implementing the StatsPublisher interface) that is used by default if hive.stats.dbclass is not JDBC or HBase.</description>
1056 </property>
1057 
1058 <property>
1059   <name>hive.stats.default.aggregator</name>
1060   <value></value>
1061   <description>The Java class (implementing the StatsAggregator interface) that is used by default if hive.stats.dbclass is not JDBC or HBase.</description>
1062 </property>
1063 
1064 <property>
1065   <name>hive.stats.jdbc.timeout</name>
1066   <value>30</value>
1067   <description>Timeout value (number of seconds) used by JDBC connection and statements.</description>
1068 </property>
1069 
1070 <property>
1071   <name>hive.stats.retries.max</name>
1072   <value>0</value>
1073   <description>Maximum number of retries when stats publisher/aggregator got an exception updating intermediate database. Default is no tries on failures.</description>
1074 </property>
1075 
1076 <property>
1077   <name>hive.stats.retries.wait</name>
1078   <value>3000</value>
1079   <description>The base waiting window (in milliseconds) before the next retry. The actual wait time is calculated by baseWindow * failues + baseWindow * (failure + 1) * (random number between [0.0,1.0]).</description>
1080 </property>
1081 
1082 <property>
1083   <name>hive.stats.reliable</name>
1084   <value>false</value>
1085   <description>Whether queries will fail because stats cannot be collected completely accurately.
1086     If this is set to true, reading/writing from/into a partition may fail becuase the stats
1087     could not be computed accurately.
1088   </description>
1089 </property>
1090 
1091 <property>
1092   <name>hive.stats.collect.tablekeys</name>
1093   <value>false</value>
1094   <description>Whether join and group by keys on tables are derived and maintained in the QueryPlan.
1095     This is useful to identify how tables are accessed and to determine if they should be bucketed.
1096   </description>
1097 </property>
1098 
1099 <property>
1100   <name>hive.stats.ndv.error</name>
1101   <value>20.0</value>
1102   <description>Standard error expressed in percentage. Provides a tradeoff between accuracy and compute cost.A lower value for error indicates higher accuracy and a higher compute cost.
1103   </description>
1104 </property>
1105 
1106 <property>
1107   <name>hive.support.concurrency</name>
1108   <value>false</value>
1109   <description>Whether hive supports concurrency or not. A zookeeper instance must be up and running for the default hive lock manager to support read-write locks.</description>
1110 </property>
1111 
1112 <property>
1113   <name>hive.lock.numretries</name>
1114   <value>100</value>
1115   <description>The number of times you want to try to get all the locks</description>
1116 </property>
1117 
1118 <property>
1119   <name>hive.unlock.numretries</name>
1120   <value>10</value>
1121   <description>The number of times you want to retry to do one unlock</description>
1122 </property>
1123 
1124 <property>
1125   <name>hive.lock.sleep.between.retries</name>
1126   <value>60</value>
1127   <description>The sleep time (in seconds) between various retries</description>
1128 </property>
1129 
1130 <property>
1131   <name>hive.zookeeper.quorum</name>
1132   <value></value>
1133   <description>The list of zookeeper servers to talk to. This is only needed for read/write locks.</description>
1134 </property>
1135 
1136 <property>
1137   <name>hive.zookeeper.client.port</name>
1138   <value>2181</value>
1139   <description>The port of zookeeper servers to talk to. This is only needed for read/write locks.</description>
1140 </property>
1141 
1142 <property>
1143   <name>hive.zookeeper.session.timeout</name>
1144   <value>600000</value>
1145   <description>Zookeeper client's session timeout. The client is disconnected, and as a result, all locks released, if a heartbeat is not sent in the timeout.</description>
1146 </property>
1147 
1148 <property>
1149   <name>hive.zookeeper.namespace</name>
1150   <value>hive_zookeeper_namespace</value>
1151   <description>The parent node under which all zookeeper nodes are created.</description>
1152 </property>
1153 
1154 <property>
1155   <name>hive.zookeeper.clean.extra.nodes</name>
1156   <value>false</value>
1157   <description>Clean extra nodes at the end of the session.</description>
1158 </property>
1159 
1160 <property>
1161   <name>fs.har.impl</name>
1162   <value>org.apache.hadoop.hive.shims.HiveHarFileSystem</value>
1163   <description>The implementation for accessing Hadoop Archives. Note that this won't be applicable to Hadoop vers less than 0.20</description>
1164 </property>
1165 
1166 <property>
1167   <name>hive.archive.enabled</name>
1168   <value>false</value>
1169   <description>Whether archiving operations are permitted</description>
1170 </property>
1171 
1172 <property>
1173   <name>hive.fetch.output.serde</name>
1174   <value>org.apache.hadoop.hive.serde2.DelimitedJSONSerDe</value>
1175   <description>The serde used by FetchTask to serialize the fetch output.</description>
1176 </property>
1177 
1178 <property>
1179   <name>hive.exec.mode.local.auto</name>
1180   <value>false</value>
1181   <description> Let hive determine whether to run in local mode automatically </description>
1182 </property>
1183 
1184 <property>
1185   <name>hive.exec.drop.ignorenonexistent</name>
1186   <value>true</value>
1187   <description>
1188     Do not report an error if DROP TABLE/VIEW specifies a non-existent table/view
1189   </description>
1190 </property>
1191 
1192 <property>
1193   <name>hive.exec.show.job.failure.debug.info</name>
1194   <value>true</value>
1195   <description>
1196       If a job fails, whether to provide a link in the CLI to the task with the
1197       most failures, along with debugging hints if applicable.
1198   </description>
1199 </property>
1200 
1201 <property>
1202   <name>hive.auto.progress.timeout</name>
1203   <value>0</value>
1204   <description>
1205     How long to run autoprogressor for the script/UDTF operators (in seconds).
1206     Set to 0 for forever.
1207   </description>
1208 </property>
1209 
1210 <!-- HBase Storage Handler Parameters -->
1211 
1212 <property>
1213   <name>hive.hbase.wal.enabled</name>
1214   <value>true</value>
1215   <description>Whether writes to HBase should be forced to the write-ahead log.  Disabling this improves HBase write performance at the risk of lost writes in case of a crash.</description>
1216 </property>
1217 
1218 <property>
1219   <name>hive.table.parameters.default</name>
1220   <value></value>
1221   <description>Default property values for newly created tables</description>
1222 </property>
1223 
1224 <property>
1225   <name>hive.entity.separator</name>
1226   <value>@</value>
1227   <description>Separator used to construct names of tables and partitions. For example, dbname@tablename@partitionname</description>
1228 </property>
1229 
1230 <property>
1231   <name>hive.ddl.createtablelike.properties.whitelist</name>
1232   <value></value>
1233   <description>Table Properties to copy over when executing a Create Table Like.</description>
1234 </property>
1235 
1236 <property>
1237   <name>hive.variable.substitute</name>
1238   <value>true</value>
1239   <description>This enables substitution using syntax like ${var} ${system:var} and ${env:var}.</description>
1240 </property>
1241 
1242 <property>
1243   <name>hive.variable.substitute.depth</name>
1244   <value>40</value>
1245   <description>The maximum replacements the substitution engine will do.</description>
1246 </property>
1247 
1248 <property>
1249   <name>hive.conf.validation</name>
1250   <value>true</value>
1251   <description>Eables type checking for registered hive configurations</description>
1252 </property>
1253 
1254 <property>
1255   <name>hive.security.authorization.enabled</name>
1256   <value>false</value>
1257   <description>enable or disable the hive client authorization</description>
1258 </property>
1259 
1260 <property>
1261   <name>hive.security.authorization.manager</name>
1262   <value>org.apache.hadoop.hive.ql.security.authorization.DefaultHiveAuthorizationProvider</value>
1263   <description>the hive client authorization manager class name.
1264   The user defined authorization class should implement interface org.apache.hadoop.hive.ql.security.authorization.HiveAuthorizationProvider.
1265   </description>
1266 </property>
1267 
1268 <property>
1269   <name>hive.security.metastore.authorization.manager</name>
1270   <value>org.apache.hadoop.hive.ql.security.authorization.DefaultHiveMetastoreAuthorizationProvider</value>
1271   <description>authorization manager class name to be used in the metastore for authorization.
1272   The user defined authorization class should implement interface org.apache.hadoop.hive.ql.security.authorization.HiveMetastoreAuthorizationProvider. 
1273   </description>
1274 </property>
1275 
1276 <property>
1277   <name>hive.security.metastore.authorization.manager</name>
1278   <value>org.apache.hadoop.hive.ql.security.authorization.DefaultHiveMetastoreAuthorizationProvider</value>
1279   <description>authorization manager class name to be used in the metastore for authorization.
1280   The user defined authorization class should implement interface org.apache.hadoop.hive.ql.security.authorization.HiveMetastoreAuthorizationProvider. 
1281   </description>
1282 </property>
1283 
1284 <property>
1285   <name>hive.security.authenticator.manager</name>
1286   <value>org.apache.hadoop.hive.ql.security.HadoopDefaultAuthenticator</value>
1287   <description>hive client authenticator manager class name.
1288   The user defined authenticator should implement interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider.</description>
1289 </property>
1290 
1291 <property>
1292   <name>hive.security.metastore.authenticator.manager</name>
1293   <value>org.apache.hadoop.hive.ql.security.HadoopDefaultMetastoreAuthenticator</value>
1294   <description>authenticator manager class name to be used in the metastore for authentication. 
1295   The user defined authenticator should implement interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider.</description>
1296 </property>
1297 
1298 <property>
1299   <name>hive.security.metastore.authenticator.manager</name>
1300   <value>org.apache.hadoop.hive.ql.security.HadoopDefaultMetastoreAuthenticator</value>
1301   <description>authenticator manager class name to be used in the metastore for authentication. 
1302   The user defined authenticator should implement interface org.apache.hadoop.hive.ql.security.HiveAuthenticationProvider.</description>
1303 </property>
1304 
1305 <property>
1306   <name>hive.security.authorization.createtable.user.grants</name>
1307   <value></value>
1308   <description>the privileges automatically granted to some users whenever a table gets created.
1309    An example like "userX,userY:select;userZ:create" will grant select privilege to userX and userY,
1310    and grant create privilege to userZ whenever a new table created.</description>
1311 </property>
1312 
1313 <property>
1314   <name>hive.security.authorization.createtable.group.grants</name>
1315   <value></value>
1316   <description>the privileges automatically granted to some groups whenever a table gets created.
1317    An example like "groupX,groupY:select;groupZ:create" will grant select privilege to groupX and groupY,
1318    and grant create privilege to groupZ whenever a new table created.</description>
1319 </property>
1320 
1321 <property>
1322   <name>hive.security.authorization.createtable.role.grants</name>
1323   <value></value>
1324   <description>the privileges automatically granted to some roles whenever a table gets created.
1325    An example like "roleX,roleY:select;roleZ:create" will grant select privilege to roleX and roleY,
1326    and grant create privilege to roleZ whenever a new table created.</description>
1327 </property>
1328 
1329 <property>
1330   <name>hive.security.authorization.createtable.owner.grants</name>
1331   <value></value>
1332   <description>the privileges automatically granted to the owner whenever a table gets created.
1333    An example like "select,drop" will grant select and drop privilege to the owner of the table</description>
1334 </property>
1335 
1336 <property>
1337   <name>hive.metastore.authorization.storage.checks</name>
1338   <value>false</value>
1339   <description>Should the metastore do authorization checks against the underlying storage
1340   for operations like drop-partition (disallow the drop-partition if the user in
1341   question doesn't have permissions to delete the corresponding directory
1342   on the storage).</description>
1343 </property>
1344 
1345 <property>
1346   <name>hive.error.on.empty.partition</name>
1347   <value>false</value>
1348   <description>Whether to throw an excpetion if dynamic partition insert generates empty results.</description>
1349 </property>
1350 
1351 <property>
1352   <name>hive.index.compact.file.ignore.hdfs</name>
1353   <value>false</value>
1354   <description>True the hdfs location stored in the index file will be igbored at runtime.
1355   If the data got moved or the name of the cluster got changed, the index data should still be usable.</description>
1356 </property>
1357 
1358 <property>
1359   <name>hive.optimize.index.filter.compact.minsize</name>
1360   <value>5368709120</value>
1361   <description>Minimum size (in bytes) of the inputs on which a compact index is automatically used.</description>
1362 </property>
1363 
1364 <property>
1365   <name>hive.optimize.index.filter.compact.maxsize</name>
1366   <value>-1</value>
1367   <description>Maximum size (in bytes) of the inputs on which a compact index is automatically used.
1368   A negative number is equivalent to infinity.</description>
1369 </property>
1370 
1371 <property>
1372   <name>hive.index.compact.query.max.size</name>
1373   <value>10737418240</value>
1374   <description>The maximum number of bytes that a query using the compact index can read. Negative value is equivalent to infinity.</description>
1375 </property>
1376 
1377 <property>
1378   <name>hive.index.compact.query.max.entries</name>
1379   <value>10000000</value>
1380   <description>The maximum number of index entries to read during a query that uses the compact index. Negative value is equivalent to infinity.</description>
1381 </property>
1382 
1383 <property>
1384   <name>hive.index.compact.binary.search</name>
1385   <value>true</value>
1386   <description>Whether or not to use a binary search to find the entries in an index table that match the filter, where possible</description>
1387 </property>
1388 
1389 <property>
1390   <name>hive.exim.uri.scheme.whitelist</name>
1391   <value>hdfs,pfile</value>
1392   <description>A comma separated list of acceptable URI schemes for import and export.</description>
1393 </property>
1394 
1395 <property>
1396   <name>hive.lock.mapred.only.operation</name>
1397   <value>false</value>
1398   <description>This param is to control whether or not only do lock on queries
1399   that need to execute at least one mapred job.</description>
1400 </property>
1401 
1402 <property>
1403   <name>hive.limit.row.max.size</name>
1404   <value>100000</value>
1405   <description>When trying a smaller subset of data for simple LIMIT, how much size we need to guarantee
1406    each row to have at least.</description>
1407 </property>
1408 
1409 <property>
1410   <name>hive.limit.optimize.limit.file</name>
1411   <value>10</value>
1412   <description>When trying a smaller subset of data for simple LIMIT, maximum number of files we can
1413    sample.</description>
1414 </property>
1415 
1416 <property>
1417   <name>hive.limit.optimize.enable</name>
1418   <value>false</value>
1419   <description>Whether to enable to optimization to trying a smaller subset of data for simple LIMIT first.</description>
1420 </property>
1421 
1422 <property>
1423   <name>hive.limit.optimize.fetch.max</name>
1424   <value>50000</value>
1425   <description>Maximum number of rows allowed for a smaller subset of data for simple LIMIT, if it is a fetch query.
1426    Insert queries are not restricted by this limit.</description>
1427 </property>
1428 
1429 <property>
1430   <name>hive.rework.mapredwork</name>
1431   <value>false</value>
1432   <description>should rework the mapred work or not.
1433   This is first introduced by SymlinkTextInputFormat to replace symlink files with real paths at compile time.</description>
1434 </property>
1435 
1436 <property>
1437   <name>hive.exec.concatenate.check.index</name>
1438   <value>true</value>
1439   <description>If this sets to true, hive will throw error when doing
1440    'alter table tbl_name [partSpec] concatenate' on a table/partition
1441     that has indexes on it. The reason the user want to set this to true
1442     is because it can help user to avoid handling all index drop, recreation,
1443     rebuild work. This is very helpful for tables with thousands of partitions.</description>
1444 </property>
1445 
1446 <property>
1447   <name>hive.sample.seednumber</name>
1448   <value>0</value>
1449   <description>A number used to percentage sampling. By changing this number, user will change the subsets
1450    of data sampled.</description>
1451 </property>
1452 
1453 <property>
1454     <name>hive.io.exception.handlers</name>
1455     <value></value>
1456     <description>A list of io exception handler class names. This is used
1457         to construct a list exception handlers to handle exceptions thrown
1458         by record readers</description>
1459 </property>
1460 
1461 <property>
1462   <name>hive.autogen.columnalias.prefix.label</name>
1463   <value>_c</value>
1464   <description>String used as a prefix when auto generating column alias.
1465   By default the prefix label will be appended with a column position number to form the column alias. Auto generation would happen if an aggregate function is used in a select clause without an explicit alias.</description>
1466 </property>
1467 
1468 <property>
1469   <name>hive.autogen.columnalias.prefix.includefuncname</name>
1470   <value>false</value>
1471   <description>Whether to include function name in the column alias auto generated by hive.</description>
1472 </property>
1473 
1474 <property>
1475   <name>hive.exec.perf.logger</name>
1476   <value>org.apache.hadoop.hive.ql.log.PerfLogger</value>
1477   <description>The class responsible logging client side performance metrics.  Must be a subclass of org.apache.hadoop.hive.ql.log.PerfLogger</description>
1478 </property>
1479 
1480 <property>
1481   <name>hive.start.cleanup.scratchdir</name>
1482   <value>false</value>
1483   <description>To cleanup the hive scratchdir while starting the hive server</description>
1484 </property>
1485 
1486 <property>
1487   <name>hive.output.file.extension</name>
1488   <value></value>
1489   <description>String used as a file extension for output files. If not set, defaults to the codec extension for text files (e.g. ".gz"), or no extension otherwise.</description>
1490 </property>
1491 
1492 <property>
1493   <name>hive.insert.into.multilevel.dirs</name>
1494   <value>false</value>
1495   <description>Where to insert into multilevel directories like
1496   "insert directory '/HIVEFT25686/chinna/' from table"</description>
1497 </property>
1498 
1499 <property>
1500   <name>hive.warehouse.subdir.inherit.perms</name>
1501   <value>false</value>
1502   <description>Set this to true if the the table directories should inherit the
1503     permission of the warehouse or database directory instead of being created
1504     with the permissions derived from dfs umask</description>
1505 </property>
1506 
1507 <property>
1508   <name>hive.exec.job.debug.capture.stacktraces</name>
1509   <value>true</value>
1510   <description>Whether or not stack traces parsed from the task logs of a sampled failed task for
1511                  each failed job should be stored in the SessionState
1512   </description>
1513 </property>
1514 
1515 <property>
1516   <name>hive.exec.driver.run.hooks</name>
1517   <value></value>
1518   <description>A comma separated list of hooks which implement HiveDriverRunHook and will be run at the
1519                  beginning and end of Driver.run, these will be run in the order specified
1520   </description>
1521 </property>
1522 
1523 <property>
1524   <name>hive.ddl.output.format</name>
1525   <value>text</value>
1526   <description>
1527     The data format to use for DDL output.  One of "text" (for human
1528     readable text) or "json" (for a json object).
1529   </description>
1530 </property>
1531 
1532 <property>
1533   <name>hive.transform.escape.input</name>
1534   <value>false</value>
1535   <description>
1536     This adds an option to escape special chars (newlines, carriage returns and
1537     tabs) when they are passed to the user script. This is useful if the hive tables
1538     can contain data that contains special characters.
1539   </description>
1540 </property>
1541 
1542 <property>
1543   <name>hive.exec.rcfile.use.explicit.header</name>
1544   <value>true</value>
1545   <description>
1546     If this is set the header for RC Files will simply be RCF.  If this is not
1547     set the header will be that borrowed from sequence files, e.g. SEQ- followed
1548     by the input and output RC File formats.
1549   </description>
1550 </property>
1551 
1552 <property>
1553   <name>hive.multi.insert.move.tasks.share.dependencies</name>
1554   <value>false</value>
1555   <description>
1556     If this is set all move tasks for tables/partitions (not directories) at the end of a
1557     multi-insert query will only begin once the dependencies for all these move tasks have been
1558     met.
1559     Advantages: If concurrency is enabled, the locks will only be released once the query has
1560                 finished, so with this config enabled, the time when the table/partition is
1561                 generated will be much closer to when the lock on it is released.
1562     Disadvantages: If concurrency is not enabled, with this disabled, the tables/partitions which
1563                    are produced by this query and finish earlier will be available for querying
1564                    much earlier.  Since the locks are only released once the query finishes, this
1565                    does not apply if concurrency is enabled.
1566   </description>
1567 </property>
1568 
1569 <property>
1570   <name>hive.fetch.task.conversion</name>
1571   <value>minimal</value>
1572   <description>
1573     Some select queries can be converted to single FETCH task minimizing latency.
1574     Currently the query should be single sourced not having any subquery and should not have
1575     any aggregations or distincts (which incurrs RS), lateral views and joins.
1576     1. minimal : SELECT STAR, FILTER on partition columns, LIMIT only
1577     2. more    : SELECT, FILTER, LIMIT only (+TABLESAMPLE, virtual columns)
1578   </description>
1579 </property>
1580 
1581 <property>
1582   <name>hive.hmshandler.retry.attempts</name>
1583   <value>1</value>
1584   <description>The number of times to retry a HMSHandler call if there were a connection error</description>
1585 </property>
1586 
1587 <property>
1588    <name>hive.hmshandler.retry.interval</name>
1589    <value>1000</value>
1590    <description>The number of miliseconds between HMSHandler retry attempts</description>
1591 </property>
1592 
1593 
1594 <property>
1595    <name>hive.server.read.socket.timeout</name>
1596    <value>10</value>
1597    <description>Timeout for the HiveServer to close the connection if no response from the client in N seconds, defaults to 10 seconds.</description>
1598 </property>
1599 
1600 <property>
1601    <name>hive.server.tcp.keepalive</name>
1602    <value>true</value>
1603    <description>Whether to enable TCP keepalive for the Hive server. Keepalive will prevent accumulation of half-open connections.</description>
1604 </property>
1605 <!--zhangziliang-->
1606 <property> 
1607     <name>hive.aux.jars.path</name>  
1608     <value>file:///home/hadoop/source/hive/lib/hive-hbase-handler-0.10.0.jar,file:///home/hadoop/source/hive/lib/hbase-0.94.0.jar,file:///home/hadoop/source/hive/lib/zookeeper-3.4.3.jar</value> 
1609 </property>
1610 </configuration>
View Code

 

   3.3 新增配置属性-hive.aux.jars.path  

1 <property> 
2     <name>hive.aux.jars.path</name>  
3     <value>file:///home/hadoop/source/hive/lib/hive-hbase-handler-0.10.0.jar,file:///home/hadoop/source/hive/lib/hbase-0.94.0.jar,file:///home/hadoop/source/hive/lib/zookeeper-3.4.3.jar</value> 
4 </property>

 

  3.4 拷贝Jar包到Hive/lib目录

  hbase-0.94.0.jar,zookeeper-3.4.3.jar

四、测试脚本-创建HBase能够识别的数据表

1 CREATE TABLE hbase_table_1(key int, value string)   
2 STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'  
3 WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf1:val")  
4 TBLPROPERTIES ("hbase.table.name" = "xyz");  

 

五、异常解决

  5.1 错误提示

java.lang.NoClassDefFoundError: com/google/protobuf/Message
at org.apache.hadoop.hbase.io.HbaseObjectWritable.(HbaseObjectWritable.java
…

 

   5.2 解决方案  

  将$HBASE_HOME/lib/protobuf-java-2.4.0a.jar 拷贝到 $HIVE_HOME/lib/.

六、运行效果  

[hadoop@hadoop1 lib]$ hive -hiveconf hbase.zookeeper.quorum=hadoop1
WARNING: org.apache.hadoop.metrics.jvm.EventCounter is deprecated. Please use org.apache.hadoop.log.metrics.EventCounter in all the log4j.properties files.
Logging initialized using configuration in jar:file:/home/hadoop/source/hive/lib/hive-common-0.10.0.jar!/hive-log4j.properties
Hive history file=/tmp/hadoop/hive_job_log_hadoop_201401012315_758621762.txt
hive> CREATE TABLE hbase_table_1(key int, value string)   
    > STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'  
    > WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf1:val")  
    > TBLPROPERTIES ("hbase.table.name" = "xyz"); 
OK
Time taken: 23.246 seconds
hive> show tables;
OK
hbase_table_1
Time taken: 1.346 seconds

 

 

 

 


作者:张子良
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