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我在运行将数据加载到配置单元上下文中的分区表的 sql 时遇到了麻烦，我确实设置了dynamic partition = true但我仍然遇到问题。

SQL： insert overwrite table target_table PARTITION (column1,column2) select * , deletion_flag ,'2018-12-23' as date_feed from source_table

Hive setconf：- 

  hiveContext.setConf("hive.exec.dynamic.partition","true")
  hiveContext.setConf("hive.exec.max.dynamic.partitions","2048")
  hiveContext.setConf("hive.exec.dynamic.partition.mode", "nonstrict")

错误：

org.apache.hadoop.hive.ql.metadata.Hive.loadDynamicPartitions(org.apache.hadoop.fs.Path, java.lang.String, java.util.Map, boolean, int, boolean, boolean, boolean

Maven依赖：-

        <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_2.10</artifactId>
        <version>1.6.0</version>
    </dependency>
    <dependency>
        <groupId>org.apache.hive</groupId>
        <artifactId>hive-exec</artifactId>
        <version>1.1.0</version>
    </dependency>

谢谢

4

1 回答 1

0

从 cloudera repo 获取所有 maven 依赖项后，我解决了这些问题。

 <dependencies>
    <!-- Scala and Spark dependencies -->

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.6.0-cdh5.9.2</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
        <version>1.6.0-cdh5.9.2</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-hive_2.10</artifactId>
        <version>1.6.0-cdh5.9.2</version>
    </dependency>
     <!-- https://mvnrepository.com/artifact/org.apache.hive/hive-exec -->
    <dependency>
        <groupId>org.apache.hive</groupId>
        <artifactId>hive-exec</artifactId>
        <version>1.1.0-cdh5.9.2</version>
    </dependency>
    <dependency>
        <groupId>org.scalatest</groupId>
        <artifactId>scalatest_2.10</artifactId>
        <version>3.0.0-SNAP4</version>
    </dependency>
    <dependency>
        <groupId>junit</groupId>
        <artifactId>junit</artifactId>
        <version>4.11</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-mllib_2.10</artifactId>
        <version>1.4.1</version>
    </dependency>
    <dependency>
        <groupId>commons-dbcp</groupId>
        <artifactId>commons-dbcp</artifactId>
        <version>1.2.2</version>
    </dependency>
    <dependency>
        <groupId>com.databricks</groupId>
        <artifactId>spark-csv_2.10</artifactId>
        <version>1.4.0</version>
    </dependency>
    <dependency>
        <groupId>com.databricks</groupId>
        <artifactId>spark-xml_2.10</artifactId>
        <version>0.2.0</version>
    </dependency>
    <dependency>
        <groupId>com.amazonaws</groupId>
        <artifactId>aws-java-sdk</artifactId>
        <version>1.0.12</version>
    </dependency>
    <dependency>
        <groupId>com.amazonaws</groupId>
        <artifactId>aws-java-sdk-s3</artifactId>
        <version>1.11.172</version>
    </dependency>
    <dependency>
        <groupId>com.github.scopt</groupId>
        <artifactId>scopt_2.10</artifactId>
        <version>3.2.0</version>
    </dependency>
    <dependency>
        <groupId>javax.mail</groupId>
        <artifactId>mail</artifactId>
        <version>1.4</version>
    </dependency>
</dependencies>
<repositories>
    <repository>
        <id>maven-hadoop</id>
        <name>Hadoop Releases</name>
        <url>https://repository.cloudera.com/content/repositories/releases/</url>
    </repository>
    <repository>
        <id>cloudera-repos</id>
        <name>Cloudera Repos</name>
        <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
    </repository>
</repositories>
于 2017-12-25T03:16:31.080 回答