6

我们已将 HDP 集群升级到 3.1.1.3.0.1.0-187 并发现：

  1. Hive 有一个新的元存储位置
  2. Spark 看不到 Hive 数据库

事实上我们看到：

org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: Database ... not found

你能帮我理解发生了什么以及如何解决这个问题吗？

更新：

配置：

(spark.sql.warehouse.dir,/warehouse/tablespace/external/hive/) (spark.admin.acls,) (spark.yarn.dist.files,file:///opt/folder/config.yml,file :///opt/jdk1.8.0_172/jre/lib/security/cacerts) (spark.history.kerberos.keytab,/etc/security/keytabs/spark.service.keytab) (spark.io.compression.lz4. blockSize,128kb) (spark.executor.extraJavaOptions,-Djavax.net.ssl.trustStore=cacerts) (spark.history.fs.logDirectory,hdfs:///spark2-history/) (spark.io.encryption.keygen. algorithm,HmacSHA1) (spark.sql.autoBroadcastJoinThreshold,26214400) (spark.eventLog.enabled,true) (spark.shuffle.service.enabled,true) (spark.driver.extraLibraryPath,/usr/hdp/current/hadoop-client /lib/native:/usr/hdp/current/hadoop-client/lib/native/Linux-amd64-64) (spark.ssl.keyStore,/etc/security/serverKeys/server-keystore.jks) (spark.yarn .queue，默认）（spark.jars，文件：/opt/folder/component-assembly-0.1.0-SNAPSHOT.jar) (spark.ssl.enabled,true) (spark.sql.orc.filterPushdown,true) (spark.shuffle.unsafe.file.output.buffer, 5m) (spark.yarn.historyServer.address,master2.env.project:18481) (spark.ssl.trustStore,/etc/security/clientKeys/all.jks) (spark.app.name,com.company.env. component.MyClass) (spark.sql.hive.metastore.jars,/usr/hdp/current/spark2-client/standalone-metastore/*) (spark.io.encryption.keySizeBits,128) (spark.driver.memory, 2g) (spark.executor.instances,10) (spark.history.kerberos.principal,spark/edge.env.project@ENV.PROJECT) (spark.unsafe.sorter.spill.reader.buffer.size,1m) ( spark.ssl.keyPassword，*********（已编辑））（spark.ssl.keyStorePassword，*********（已编辑））（spark.history.fs.cleaner.enabled， true) (spark.shuffle.io.serverThreads,128) (spark.sql.hive.convertMetastoreOrc,true) (spark.submit.deployMode,client) (spark.sql.orc.char.enabled,true) (spark.master,yarn) (spark.authenticate.enableSaslEncryption,true) (spark.history.fs.cleaner.interval ,7d) (spark.authenticate,true) (spark.history.fs.cleaner.maxAge,90d) (spark.history.ui.acls.enable,true) (spark.acls.enable,true) (spark.history. provider,org.apache.spark.deploy.history.FsHistoryProvider) (spark.executor.extraLibraryPath,/usr/hdp/current/hadoop-client/lib/native:/usr/hdp/current/hadoop-client/lib/native /Linux-amd64-64) (spark.executor.memory,2g) (spark.io.encryption.enabled,true) (spark.shuffle.file.buffer,1m) (spark.eventLog.dir,hdfs:/// spark2-history/) (spark.ssl.protocol,TLS) (spark.dynamicAllocation.enabled,true) (spark.executor.cores,3) (spark.history.ui.port,18081) (spark.sql.statistics. fallBackToHdfs,true) (spark.repl.local.jars,file:///opt/folder/postgresql-42.2.2.jar,file:///opt/folder/ojdbc6.jar) (spark.ssl.trustStorePassword,*********(已编辑)) (spark.history.ui.admin.acls,) (spark.history.kerberos.enabled,true) (spark.shuffle.io.backLog,8192) (spark.sql.orc.impl,native) (spark. ssl.enabledAlgorithms,TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA) (spark.sql.orc.enabled,true) (spark.yarn.dist.jars,file:///opt/folder/postgresql-42.2.2.jar,file:///选择/文件夹/ojdbc6.jar) (spark.sql.hive.metastore.version,3.0)TLS_RSA_WITH_AES_256_CBC_SHA) (spark.sql.orc.enabled,true) (spark.yarn.dist.jars,file:///opt/folder/postgresql-42.2.2.jar,file:///opt/folder/ojdbc6. jar) (spark.sql.hive.metastore.version,3.0)TLS_RSA_WITH_AES_256_CBC_SHA) (spark.sql.orc.enabled,true) (spark.yarn.dist.jars,file:///opt/folder/postgresql-42.2.2.jar,file:///opt/folder/ojdbc6. jar) (spark.sql.hive.metastore.version,3.0)

并来自 hive-site.xml：

<property>
  <name>hive.metastore.warehouse.dir</name>
  <value>/warehouse/tablespace/managed/hive</value>
</property>

代码如下：

val spark = SparkSession
  .builder()
  .appName(getClass.getSimpleName)
  .enableHiveSupport()
  .getOrCreate()
...
dataFrame.write
  .format("orc")
  .options(Map("spark.sql.hive.convertMetastoreOrc" -> true.toString))
  .mode(SaveMode.Append)
  .saveAsTable("name")

火花提交：

    --master yarn \
    --deploy-mode client \
    --driver-memory 2g \
    --driver-cores 4 \
    --executor-memory 2g \
    --num-executors 10 \
    --executor-cores 3 \
    --conf "spark.dynamicAllocation.enabled=true" \
    --conf "spark.shuffle.service.enabled=true" \
    --conf "spark.executor.extraJavaOptions=-Djavax.net.ssl.trustStore=cacerts" \
    --conf "spark.sql.warehouse.dir=/warehouse/tablespace/external/hive/" \
    --jars postgresql-42.2.2.jar,ojdbc6.jar \
    --files config.yml,/opt/jdk1.8.0_172/jre/lib/security/cacerts \
    --verbose \
    component-assembly-0.1.0-SNAPSHOT.jar \
4

2 回答 2

5

看起来这是一个未实现的 Spark功能。但我发现自 3.0 以来使用 Spark 和 Hive 的唯一一种方法是使用Horton 的HiveWarehouseConnector。文档在这里。还有来自霍顿社区的好指南。在 Spark 开发人员准备好自己的解决方案之前，我不会回答这个问题。

于 2018-10-30T13:34:03.233 回答
0

尽管免责声明，我对此有一些回归技巧，它绕过了游侠权限（如果您招致管理员的愤怒，请不要怪我）。

与 spark-shell 一起使用

export HIVE_CONF_DIR=/usr/hdp/current/hive-client/conf
spark-shell --conf "spark.driver.extraClassPath=/usr/hdp/current/hive-client/conf"

与 sparklyR 一起使用

Sys.setenv(HIVE_CONF_DIR="/usr/hdp/current/hive-client/conf")
conf = spark_config()
conf$'sparklyr.shell.driver-class-path' = '/usr/hdp/current/hive-client/conf'

它也应该适用于 thriftserver，但我还没有测试过。

于 2019-05-12T05:50:07.733 回答