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Spark SQL 报错总结

发表于:2024-11-18 作者:千家信息网编辑
千家信息网最后更新 2024年11月18日,报错一:背景启动spark-shell后查询hive中的表信息,报错$SPARK_HOME/bin/spark-shellspark.sql("select * from student.studen
千家信息网最后更新 2024年11月18日Spark SQL 报错总结

报错一:

背景

启动spark-shell后查询hive中的表信息,报错

$SPARK_HOME/bin/spark-shellspark.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 applicableSetting 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://hadoop003:4040Spark 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


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=trueCaused by: java.sql.SQLException: No suitable driver found forjdbc: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 applicable19/05/21 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 OutputCommitCoordinator19/05/21 09:19:37 INFO util.log: Logging initialized @8235ms19/05/21 09:19:37 INFO server.Server: jetty-9.3.z-SNAPSHOT, build timestamp: unknown, git hash: unknown19/05/21 09:19:37 INFO server.Server: Started @8471ms19/05/21 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-warehouse19/05/21 09:19:38 INFO hive.metastore: Mestastore configuration hive.metastore.warehouse.dir changed from /user/hive/warehouse to file:/home/hadoop/spark-warehouse19/05/21 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: default19/05/21 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.ObjectStore19/05/21 09:19:38 INFO metastore.ObjectStore: ObjectStore, initialize called19/05/21 09:19:38 INFO DataNucleus.Query: Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing19/05/21 09:19:38 INFO metastore.MetaStoreDirectSql: Using direct SQL, underlying DB is MYSQL19/05/21 09:19:38 INFO metastore.ObjectStore: Initialized ObjectStore19/05/21 09:19:39 INFO state.StateStoreCoordinatorRef: Registered StateStoreCoordinator endpointSpark master: local[*], Application Id: local-155844477755319/05/21 09:19:40 INFO thriftserver.SparkSQLCLIDriver: Spark master: local[*], Application Id: local-1558444777553spark-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.(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
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