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spark 3.1.x支持(兼容)hive 1.2.x以及had

spark 3.1.x支持(兼容)hive 1.2.x以及had

作者: 鸿乃江边鸟 | 来源:发表于2021-03-11 17:48 被阅读0次

    版本

    spark 3.1.x
    hive 1.2.x
    hadoop 2.6.0-cdh-5.13.1

    背景

    由于好多公司的yarn集群用的是cdh版本的,用Cloudera Manager管理的。而截止到目前为止,spark的最新版本已经到了3.1.1。而对于cdh 2.6.0-5.13.1来说目前支持的hive版本为1.2.1,所以我们做一下集中尝试:

    • 直接修改pom文件中的hive对应的版本
    • 直接修改编译的hadoop版本
    • 在spark运行的时候,动态加载hive对应的版本包

    直接修改pom文件中的hive对应的版本

    直接在spark的父pom文件增加如下proflie信息:

    <profile>
        <id>hive-1.2</id>
        <properties>
          <hive.version>1.2.1</hive.version>
          <!-- Version used for internal directory structure -->
          <hive.version.short>1.2</hive.version.short>
          <hive.storage.version>2.6.0</hive.storage.version>
          <datanucleus-core.version>3.2.10</datanucleus-core.version>
        </properties>
      </profile>
    

    运行

    ./dev/make-distribution.sh --name 2.6.0-cdh5.13.1  --pip  --tgz  -Phive-1.2 -Phive-thriftserver -Pyarn
    

    报错:

    [INFO] --- scala-maven-plugin:4.3.0:compile (scala-compile-first) @ spark-hive_2.12 ---
    [INFO] Using incremental compilation using Mixed compile order
    [INFO] Compiler bridge file: .sbt/1.0/zinc/org.scala-sbt/org.scala-sbt-compiler-bridge_2.12-1.3.1-bin_2.12.10__52.0-1.3.1_20191012T045515.jar
    [INFO] compiler plugin: BasicArtifact(com.github.ghik,silencer-plugin_2.12.10,1.6.0,null)
    [INFO] Compiling 29 Scala sources and 2 Java sources to spark/sql/hive/target/scala-2.12/classes ...
    [ERROR] [Error] spark/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveShim.scala:29: object SerializationUtilities is not a msmber of package org.apache.hadoop.hive.ql.exec
    [ERROR] [Error] spark/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveShim.scala:150: not found: value SerializationUtilities
    [ERROR] [Error] spark/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveShim.scala:154: not found: value SerializationUtilities
    [ERROR] [Error] spark/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUDFs.scala:350: too many arguments (4) for constructor SimpleGenericUDAFParameterInfo: (x$1: Array[org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector], x$2: Boolean, x$3: Boolean)org.apache.hadoop.hive.ql.udf.generic.SimpleGenericUDAFParameterInfo
    [ERROR] four errors found
    

    说明hive1.2.1版本的不兼容

    直接修改编译的hadoop版本

    直接修改hadoop的版本为2.6.0-cdh5.13.1
    运行如下命令:

    ./dev/make-distribution.sh --name 2.6.0-cdh5.13.1  --pip  --tgz  -Phive-1.2 -Phive-thriftserver -Pyarn -Dhadoop.version=2.6.0-cdh5.13.1
    

    报错:

    [INFO] --- scala-maven-plugin:4.3.0:compile (scala-compile-first) @ spark-core_2.12 ---
    [INFO] Using incremental compilation using Mixed compile order
    [INFO] Compiler bridge file: .sbt/1.0/zinc/org.scala-sbt/org.scala-sbt-compiler-bridge_2.12-1.3.1-bin_2.12.10__52.0-1.3.1_20191012T045515.jar
    [INFO] compiler plugin: BasicArtifact(com.github.ghik,silencer-plugin_2.12.10,1.6.0,null)
    [INFO] Compiling 560 Scala sources and 99 Java sources to spark/core/target/scala-2.12/classes ...
    [ERROR] [Error] spark/core/src/main/scala/org/apache/spark/ui/HttpSecurityFilter.scala:107: type mismatch;
     found   : K where type K
     required: String
    [ERROR] [Error] spark/core/src/main/scala/org/apache/spark/ui/HttpSecurityFilter.scala:107: value map is not a member of V
    [ERROR] [Error] spark/core/src/main/scala/org/apache/spark/ui/HttpSecurityFilter.scala:107: missing argument list for method stripXSS in class XssSafeRequest
    Unapplied methods are only converted to functions when a function type is expected.
    You can make this conversion explicit by writing `stripXSS _` or `stripXSS(_)` instead of `stripXSS`.
    [ERROR] [Error] spark/core/src/main/scala/org/apache/spark/ui/PagedTable.scala:307: value startsWith is not a member of K
    [ERROR] [Error] spark/core/src/main/scala/org/apache/spark/util/Utils.scala:580: value toLowerCase is not a member of object org.apache.hadoop.util.StringUtils
    [ERROR] 5 errors found
    

    说明对2.6.0-cdh5.13.1版本的不兼容

    在spark运行的时候,动态加载hive对应的版本包

    根据官网的说明 ,spark从1.4.0 开始就能和不同的hive元数据进行交互,也就是说spark编译的hive内部版本和spark访问hive的元数据是独立的,可以配置不同的hive版本进行对应元数据的访问。具体的配置可以参考以上官网配置。

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