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Spark SQL 报错总结

发布时间：2020-07-19 18:39:04 作者：Stitch_x
来源：网络 阅读：2631

报错一:

背景

启动spark-shell后查询hive中的表信息，报错

$SPARK_HOME/bin/spark-shell
spark.sql("select * from student.student ").show()

日志

Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient
    at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1523)
    at org.apache.hadoop.hive.metastore.RetryingMetaSto

    Caused by: org.datanucleus.store.rdbms.connectionpool.DatastoreDriverNotFoundException:
    The specified datastore driver ("com.mysql.jdbc.Driver") was not found in the 
    CLASSPATH. Please check your CLASSPATH specification, 
    and the name of the driver.

原因:

spark访问存放hive的Metastore的mysql数据库时，没有连接成功，因为spark没有没有mysql-connecter的jar包，即mysql驱动

解决:

有人说，那就直接把jar包cp到$SPARK_HOME/jars下呗，不好意思，这样再生产中是绝对不行的，并不是所有spark程序都会用到mysql驱动，所以我们要在提交作业时指定--jars，多个jar包用逗号分隔 注(我的mysql版本是5.1.73)

[hadoop@hadoop003 spark]$ spark-shell --jars ~/softwares/mysql-connector-java-5.1.47.jar 
19/05/21 08:02:55 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://hadoop003:4040
Spark context available as 'sc' (master = local[*], app id = local-1558440185051).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 2.4.2
      /_/

Using Scala version 2.11.12 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_131)
Type in expressions to have them evaluated.
Type :help for more information.

scala>  spark.sql("select * from student.student ").show()
19/05/21 08:04:42 WARN DataNucleus.General: Plugin (Bundle) "org.datanucleus" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/home/hadoop/app/spark-2.4.2-bin-hadoop-2.6.0-cdh6.7.0/jars/datanucleus-core-3.2.10.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/home/hadoop/app/spark/jars/datanucleus-core-3.2.10.jar."
19/05/21 08:04:42 WARN DataNucleus.General: Plugin (Bundle) "org.datanucleus.api.jdo" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/home/hadoop/app/spark/jars/datanucleus-api-jdo-3.2.6.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/home/hadoop/app/spark-2.4.2-bin-hadoop-2.6.0-cdh6.7.0/jars/datanucleus-api-jdo-3.2.6.jar."
19/05/21 08:04:42 WARN DataNucleus.General: Plugin (Bundle) "org.datanucleus.store.rdbms" is already registered. Ensure you dont have multiple JAR versions of the same plugin in the classpath. The URL "file:/home/hadoop/app/spark-2.4.2-bin-hadoop-2.6.0-cdh6.7.0/jars/datanucleus-rdbms-3.2.9.jar" is already registered, and you are trying to register an identical plugin located at URL "file:/home/hadoop/app/spark/jars/datanucleus-rdbms-3.2.9.jar."
19/05/21 08:04:45 ERROR metastore.ObjectStore: Version information found in metastore differs 1.1.0 from expected schema version 1.2.0. Schema verififcation is disabled hive.metastore.schema.verification so setting version.
19/05/21 08:04:46 WARN metastore.ObjectStore: Failed to get database global_temp, returning NoSuchObjectException
+------+--------+--------------+--------------------+                           
|stu_id|stu_name| stu_phone_num|           stu_email|
+------+--------+--------------+--------------------+
|     1|   Burke|1-300-746-8446|ullamcorper.velit...|
|     2|   Kamal|1-668-571-5046|pede.Suspendisse@...|
|     3|    Olga|1-956-311-1686|Aenean.eget.metus...|
|     4|   Belle|1-246-894-6340|vitae.aliquet.nec...|
|     5|  Trevor|1-300-527-4967|dapibus.id@acturp...|
|     6|  Laurel|1-691-379-9921|adipiscing@consec...|
|     7|    Sara|1-608-140-1995|Donec.nibh@enimEt...|
|     8|  Kaseem|1-881-586-2689|cursus.et.magna@e...|
|     9|     Lev|1-916-367-5608|Vivamus.nisi@ipsu...|
|    10|    Maya|1-271-683-2698|accumsan.convalli...|
|    11|     Emi|1-467-270-1337|        est@nunc.com|
|    12|   Caleb|1-683-212-0896|Suspendisse@Quisq...|
|    13|Florence|1-603-575-2444|sit.amet.dapibus@...|
|    14|   Anika|1-856-828-7883|euismod@ligulaeli...|
|    15|   Tarik|1-398-171-2268|turpis@felisorci.com|
|    16|   Amena|1-878-250-3129|lorem.luctus.ut@s...|
|    17| Blossom|1-154-406-9596|Nunc.commodo.auct...|
|    18|     Guy|1-869-521-3230|senectus.et.netus...|
|    19| Malachi|1-608-637-2772|Proin.mi.Aliquam@...|
|    20|  Edward|1-711-710-6552|lectus@aliquetlib...|
+------+--------+--------------+--------------------+
only showing top 20 rows

解决了
此时我们也可以在ui界面上看一下是不是将mysql驱动包添加到该任务中了
Spark SQL 报错总结

Spark SQL 报错总结
发现的确添加成功

报错二:

背景

启动spark-sql时，发生报错

spark-sql

日志

19/05/21 08:54:14 ERROR Datastore.Schema: Failed initialising database.
Unable to open a test connection to the given database. 
JDBC url = jdbc:mysql://192.168.1.201:3306/hiveDB?createDatabaseIfNotExist=true, username = root. Terminating connection pool 
(set lazyInit to true if you expect to start your database after your app).
Original Exception: ------
java.sql.SQLException: No suitable driver found for jdbc:mysql://192.168.1.201:3306/hiveDB?createDatabaseIfNotExist=true

Caused by: java.sql.SQLException: No suitable driver found for
jdbc:mysql://192.168.1.201:3306/hiveDB?createDatabaseIfNotExist=true

原因

driver端没有mysql驱动，连接不上hive的元数据。

解决

查看一下我的启动命令，发现已经使用--jars指定了mysql驱动包的路径
并且根据spark-sql --help的说明,可以将指定得jar包都添加到driver 和 executor的classpaths

--jars JARS                 Comma-separated list of jars to include on the driver and executor classpaths.

但是driver的classpath依旧没有mysql的驱动，这是为什么呢？ 暂时不得而知，，所以，我尝试了一下，启动时另外添加driver的classpath路径

 spark-sql --jars softwares/mysql-connector-java-5.1.47.jar --driver-class-path softwares/mysql-connector-java-5.1.47.jar 
19/05/21 09:19:30 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
19/05/21 09:19:31 INFO metastore.HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
......
19/05/21 09:19:36 INFO spark.SparkEnv: Registering OutputCommitCoordinator
19/05/21 09:19:37 INFO util.log: Logging initialized @8235ms
19/05/21 09:19:37 INFO server.Server: jetty-9.3.z-SNAPSHOT, build timestamp: unknown, git hash: unknown
19/05/21 09:19:37 INFO server.Server: Started @8471ms
19/05/21 09:19:37 INFO server.AbstractConnector: Started ServerConnector@55f0e536{HTTP/1.1,[http/1.1]}{0.0.0.0:4040}
19/05/21 09:19:37 INFO util.Utils: Successfully started service 'SparkUI' on port 4040.
......
19/05/21 09:19:38 INFO internal.SharedState: Warehouse path is 'file:/home/hadoop/spark-warehouse'.
19/05/21 09:19:38 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@16e1219f{/SQL,null,AVAILABLE,@Spark}
19/05/21 09:19:38 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@13f40d71{/SQL/json,null,AVAILABLE,@Spark}
19/05/21 09:19:38 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@34f7b44f{/SQL/execution,null,AVAILABLE,@Spark}
19/05/21 09:19:38 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5403907{/SQL/execution/json,null,AVAILABLE,@Spark}
19/05/21 09:19:38 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7911cc15{/static/sql,null,AVAILABLE,@Spark}
19/05/21 09:19:38 INFO hive.HiveUtils: Initializing HiveMetastoreConnection version 1.2.1 using Spark classes.
19/05/21 09:19:38 INFO client.HiveClientImpl: Warehouse location for Hive client (version 1.2.2) is file:/home/hadoop/spark-warehouse
19/05/21 09:19:38 INFO hive.metastore: Mestastore configuration hive.metastore.warehouse.dir changed from /user/hive/warehouse to file:/home/hadoop/spark-warehouse
19/05/21 09:19:38 INFO metastore.HiveMetaStore: 0: Shutting down the object store...
19/05/21 09:19:38 INFO HiveMetaStore.audit: ugi=hadoop  ip=unknown-ip-addr  cmd=Shutting down the object store...   
19/05/21 09:19:38 INFO metastore.HiveMetaStore: 0: Metastore shutdown complete.
19/05/21 09:19:38 INFO HiveMetaStore.audit: ugi=hadoop  ip=unknown-ip-addr  cmd=Metastore shutdown complete.    
19/05/21 09:19:38 INFO metastore.HiveMetaStore: 0: get_database: default
19/05/21 09:19:38 INFO HiveMetaStore.audit: ugi=hadoop  ip=unknown-ip-addr  cmd=get_database: default   
19/05/21 09:19:38 INFO metastore.HiveMetaStore: 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
19/05/21 09:19:38 INFO metastore.ObjectStore: ObjectStore, initialize called
19/05/21 09:19:38 INFO DataNucleus.Query: Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
19/05/21 09:19:38 INFO metastore.MetaStoreDirectSql: Using direct SQL, underlying DB is MYSQL
19/05/21 09:19:38 INFO metastore.ObjectStore: Initialized ObjectStore
19/05/21 09:19:39 INFO state.StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
Spark master: local[*], Application Id: local-1558444777553
19/05/21 09:19:40 INFO thriftserver.SparkSQLCLIDriver: Spark master: local[*], Application Id: local-1558444777553
spark-sql (default)>

启动成功~，看来官方解释也不一定就是准确的呀，还是要实测！小坑

报错三:

背景

在IDEA中将RDD转换成为DataFrame时，在代码没有问题的情况下(同段代码在spark-shell测试成功)发生报错。
代码如下:

object SparkSessionDemo {

  /**
    * 创建SparkSession，测试
    *
    * @param args
    */
  def main(args: Array[String]): Unit = {

    val spark=SparkSession
      .builder()
      .master("local[*]")
      .appName("SparkSessionDemo")
      .getOrCreate()

    import spark.implicits._
    val logs=spark.sparkContext.textFile("file:///D:/cleaned.log ") .map(_.split("\t"))
      val logsDF=logs.map(x=>CleanedLog(x(0),x(1),x(2),x(3),x(4),x(5),1L,x(6),x(7))).toDF()

    logsDF.show()

  }
  case class CleanedLog(cdn:String,region:String,level:String,date:String,ip:String, domain:String, pv:Long,url:String, traffic:String)

}

控制台报错日志

一共是两次报错，但是原因相同，为了节约空间，我放到一起了

一、
Exception in thread "main" java.lang.NoClassDefFoundError:
org/codehaus/janino/InternalCompilerException
...
Caused by: java.lang.ClassNotFoundException: org.codehaus.janino.InternalCompilerException
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    ... 33 more
二、
Exception in thread "main" java.lang.NoSuchMethodError:
org.codehaus.commons.compiler.Location.<init>(Ljava/lang/String;II)V

原因：

jar包冲突
spark-sql-2.4.2需要的janino和compiler包和hive-1.1.0需要的版本不一致，由于hive的版本过低，并且比spark-sql先添加到pom.xml中，所以当发生jar包冲突时默认使用hive中使用的jar包。

解决：

使用maven helper插件，将冲突jar包janino、compiler的低版本添加exclusion标签，具体做法请参照我另一篇博客IDEA-plugin 之解决maven工程jar冲突必备良药 Maven Helper
运行成功之后是这样滴


+-----+------+-----+----------+---------------+--------------------+---+--------------------+-------+
|  cdn|region|level|      date|             ip|              domain| pv|                 url|traffic|
+-----+------+-----+----------+---------------+--------------------+---+--------------------+-------+
|baidu|    CN|    E|2018050102|    121.77.52.1|          github.com|  1|http://github.com...|   8732|
|baidu|    CN|    E|2018050102|  182.90.237.16|           yooku.com|  1|http://yooku.com/...|  39912|
|baidu|    CN|    E|2018050101|  171.14.31.240|movieshow2000.edu...|  1|http://movieshow2...|  37164|
|baidu|    CN|    E|2018050103|  222.20.40.164|movieshow2000.edu...|  1|http://movieshow2...|  24963|
|baidu|    CN|    E|2018050102| 171.14.203.164|          github.com|  1|http://github.com...|  24881|
|baidu|    CN|    E|2018050103| 61.237.150.187|movieshow2000.edu...|  1|http://movieshow2...|  90965|
|baidu|    CN|    E|2018050103| 123.233.221.56|movieshow2000.edu...|  1|http://movieshow2...|  85190|
|baidu|    CN|    E|2018050103|  171.9.197.248|          github.com|  1|http://github.com...|  36031|
|baidu|    CN|    E|2018050101| 222.88.229.163|           yooku.com|  1|http://yooku.com/...|  35809|
|baidu|    CN|    E|2018050101| 139.208.68.178|          github.com|  1|http://github.com...|   9787|
|baidu|    CN|    E|2018050103| 171.12.206.176|movieshow2000.edu...|  1|http://movieshow2...|  83860|
|baidu|    CN|    E|2018050101|  121.77.141.58|          github.com|  1|http://github.com...|  89197|
|baidu|    CN|    E|2018050102|  171.14.63.223|     rw.uestc.edu.cn|  1|http://rw.uestc.e...|  74642|
|baidu|    CN|    E|2018050101|    36.57.94.77|           yooku.com|  1|http://yooku.com/...|  25020|
|baidu|    CN|    E|2018050101|  171.15.34.129|movieshow2000.edu...|  1|http://movieshow2...|  51978|
|baidu|    CN|    E|2018050101| 121.76.172.122|           yooku.com|  1|http://yooku.com/...|  48488|
|baidu|    CN|    E|2018050102|    36.61.89.99|           yooku.com|  1|http://yooku.com/...|  86480|
|baidu|    CN|    E|2018050102| 182.89.232.143|movieshow2000.edu...|  1|http://movieshow2...|  24312|
|baidu|    CN|    E|2018050102|139.205.123.192|movieshow2000.edu...|  1|http://movieshow2...|  51601|
|baidu|    CN|    E|2018050102| 123.233.171.52|           yooku.com|  1|http://yooku.com/...|  14132|
+-----+------+-----+----------+---------------+--------------------+---+--------------------+-------+
only showing top 20 rows
推荐阅读：
  1. 急中生智~利用Spark core完成"ETL"!
  2. Spark 系列（八）—— Spark SQL 之 DataFrame 和 Dataset

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