Hive 1.2 Metastore 服务在将其配置为 S3 存储而不是 HDFS 后不会启动

Question

我有一个独立模式的 Apache Spark Cluster(2.2.0)。到目前为止，运行使用 HDFS 来存储 parquet 文件。我正在使用 Apache Hive 1.2 的 Hive Metastore 服务访问，使用 Thriftserver，Spark over JDBC.

现在我想使用 S3 对象存储而不是 HDFS。我已将以下配置添加到我的配置单元-site.xml:

<property>
  <name>fs.s3a.access.key</name>
  <value>access_key</value>
  <description>Profitbricks Access Key</description>
</property>
<property>
  <name>fs.s3a.secret.key</name>
  <value>secret_key</value>
  <description>Profitbricks Secret Key</description>
</property>
<property>
  <name>fs.s3a.endpoint</name>
  <value>s3-de-central.profitbricks.com</value>
  <description>ProfitBricks S3 Object Storage Endpoint</description>
</property>
<property>
  <name>fs.s3a.endpoint.http.port</name>
  <value>80</value>
  <description>ProfitBricks S3 Object Storage Endpoint HTTP Port</description>
</property>
<property>
  <name>fs.s3a.endpoint.https.port</name>
  <value>443</value>
  <description>ProfitBricks S3 Object Storage Endpoint HTTPS Port</description>
</property>
<property>
  <name>hive.metastore.warehouse.dir</name>
  <value>s3a://dev.spark.my_bucket/parquet/</value>
  <description>Profitbricks S3 Object Storage Hive Warehouse Location</description>
</property>

我在 MySQL 5.7 数据库中有 Hive Metastore。我已将以下 jar 文件添加到 Hive lib 文件夹中：

aws-java-sdk-1.7.4.jar
hadoop-aws-2.7.3.jar

我在 MySQL 上删除了旧的 Hive Metastore 模式，然后我使用以下命令启动 Metastore 服务：hive --service metastore & 并且我收到以下错误：

java.lang.NoClassDefFoundError: com/fasterxml/jackson/databind/ObjectMapper
        at com.amazonaws.util.json.Jackson.<clinit>(Jackson.java:27)
        at com.amazonaws.internal.config.InternalConfig.loadfrom(InternalConfig.java:182)
        at com.amazonaws.internal.config.InternalConfig.load(InternalConfig.java:199)
        at com.amazonaws.internal.config.InternalConfig$Factory.<clinit>(InternalConfig.java:232)
        at com.amazonaws.ServiceNameFactory.getServiceName(ServiceNameFactory.java:34)
        at com.amazonaws.AmazonWebServiceClient.computeServiceName(AmazonWebServiceClient.java:703)
        at com.amazonaws.AmazonWebServiceClient.getServiceNameIntern(AmazonWebServiceClient.java:676)
        at com.amazonaws.AmazonWebServiceClient.computeSignerByURI(AmazonWebServiceClient.java:278)
        at com.amazonaws.AmazonWebServiceClient.setEndpoint(AmazonWebServiceClient.java:160)
        at com.amazonaws.services.s3.AmazonS3Client.setEndpoint(AmazonS3Client.java:475)
        at com.amazonaws.services.s3.AmazonS3Client.init(AmazonS3Client.java:447)
        at com.amazonaws.services.s3.AmazonS3Client.<init>(AmazonS3Client.java:391)
        at com.amazonaws.services.s3.AmazonS3Client.<init>(AmazonS3Client.java:371)
        at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:235)
        at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2811)
        at org.apache.hadoop.fs.FileSystem.access0(FileSystem.java:100)
        at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2848)
        at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2830)
        at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:389)
        at org.apache.hadoop.fs.Path.getFileSystem(Path.java:356)
        at org.apache.hadoop.hive.metastore.Warehouse.getFs(Warehouse.java:104)
        at org.apache.hadoop.hive.metastore.Warehouse.getDnsPath(Warehouse.java:140)
        at org.apache.hadoop.hive.metastore.Warehouse.getDnsPath(Warehouse.java:146)
        at org.apache.hadoop.hive.metastore.Warehouse.getWhRoot(Warehouse.java:159)
        at org.apache.hadoop.hive.metastore.Warehouse.getDefaultDatabasePath(Warehouse.java:177)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB_core(HiveMetaStore.java:601)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5757)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.startMetaStore(HiveMetaStore.java:5990)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.main(HiveMetaStore.java:5915)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:234)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:148)
Caused by: java.lang.ClassNotFoundException: com.fasterxml.jackson.databind.ObjectMapper
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:335)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)

缺少的 class 属于 Jackson 库，然后我复制了位于我的 spark-2.2.0-bin-hadoop2.7/jars/ 文件夹中的 Jackson-*.jar，它们是：

jackson-annotations-2.6.5.jar
jackson-core-2.6.5.jar
jackson-core-asl-1.9.13.jar
jackson-databind-2.6.5.jar
jackson-jaxrs-1.9.13.jar
jackson-mapper-asl-1.9.13.jar
jackson-module-paranamer-2.6.5.jar
jackson-module-scala_2.11-2.6.5.jar
jackson-xc-1.9.13.jar

但是我得到了以下错误：

2018-01-05 17:51:00,819 ERROR [main]: metastore.HiveMetaStore (HiveMetaStore.java:main(5920)) - Metastore Thrift Server threw an exception...
java.lang.NumberFormatException: For input string: "100M"
        at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
        at java.lang.Long.parseLong(Long.java:589)
        at java.lang.Long.parseLong(Long.java:631)
        at org.apache.hadoop.conf.Configuration.getLong(Configuration.java:1319)
        at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:248)
        at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2811)
        at org.apache.hadoop.fs.FileSystem.access0(FileSystem.java:100)
        at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2848)
        at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2830)
        at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:389)
        at org.apache.hadoop.fs.Path.getFileSystem(Path.java:356)
        at org.apache.hadoop.hive.metastore.Warehouse.getFs(Warehouse.java:104)
        at org.apache.hadoop.hive.metastore.Warehouse.getDnsPath(Warehouse.java:140)
        at org.apache.hadoop.hive.metastore.Warehouse.getDnsPath(Warehouse.java:146)
        at org.apache.hadoop.hive.metastore.Warehouse.getWhRoot(Warehouse.java:159)
        at org.apache.hadoop.hive.metastore.Warehouse.getDefaultDatabasePath(Warehouse.java:177)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB_core(HiveMetaStore.java:601)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:620)
        at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:461)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:66)
        at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:72)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5757)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.startMetaStore(HiveMetaStore.java:5990)
        at org.apache.hadoop.hive.metastore.HiveMetaStore.main(HiveMetaStore.java:5915)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:234)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:148)

我认为这里的错误与某些 jar 版本不兼容有关，但我找不到正确的版本。

有人可以帮我吗？

Answer 1

您绝对不能混合 Hadoop-common、hadoop-aws、aws-s3-sdk 和 jackson 版本，否则您会看到堆栈跟踪。
而且它都是开源的，所以如果您 D/L 本地的所有源 JAR，您的 IDE 将帮助您找到导致堆栈跟踪的原因。 这就是我们所做的。这不是魔术，现代 IDEs (intellij IDEA) 甚至有专门的堆栈调试。

这是因为在 hadoop-common 的 /core-default.xml 资源中设置的 fs.s3a.multipart.size 的值为 100M，它与 HADOOP-13680 一起出现，范围解析处理数字如“ 100M" 而不是 104857600 。此堆栈跟踪显示 "Hadoop 2.8+ configuration"

您可以尝试将配置中的属性设置为该数值，但这是一个警告标志，表明 JAR 版本不同步，您可能只会再读几行就会出现其他问题.

修复：确保 hadoop-common.jar 和 hadoop-aws.jar 同步。看起来你已经把 jackson 和 aws 排列起来了，尽管 jackson 足够复杂，你永远不能认为这是理所当然的。

Hive 1.2 Metastore 服务在将其配置为 S3 存储而不是 HDFS 后不会启动

Hive 1.2 Metastore Service doesn't start after configuring it to S3 storage instead HDFS

mysql

hive

amazon-s3

metastore

apache-spark