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06-26-2018
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My Accepted Solutions
| Title | Views | Posted |
|---|---|---|
| 5724 | 07-31-2018 03:36 PM |
07-31-2018
03:46 PM
I believe that the answer is the SQL with ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' ESCAPED BY '~' LINES TERMINATED BY '^^^' Is simply unsupported HiveQL - and this should be unsupported as it is not used by the ORC format.
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07-31-2018
03:36 PM
The solution was to use Maven Shade - as seen originally - and use the relocate classes option.
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
</execution>
</executions>
<configuration>
<relocations>
<relocation>
<pattern>okio</pattern>
<shadedPattern>com.shaded.okio</shadedPattern>
</relocation>
</relocations>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
</configuration>
</plugin>
Make sure to use the relocation option on the package name of the classes which conflict with the ones present in the /jars directory in Spark. This will create a 'private copy' of this dependency for your application, with no potential of interference with the underlying spark dependencies. Only watch out for making your spark application too large if you add too many dependencies like this.
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07-31-2018
02:15 PM
Using Spark-sql with Spark-2.2.0, the following query results in an error: Query (as printed by spark exception in the console): CREATE EXTERNAL TABLE IF NOT EXISTS `databaseName`.`tableName` (some field names . . .) PARTITIONED BY (`tenant` STRING, `year` STRING, `month` STRING, `day` STRING, `hour` STRING, `minute` STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' ESCAPED BY '~' LINES TERMINATED BY ' ^^^ ' STORED AS ORC LOCATION 'hdfs://clusterName:8020/StorageLocation/' Error: org.apache.spark.sql.catalyst.parser.ParseException:
Operation not allowed: ROW FORMAT DELIMITED is only compatible with 'textfile', not 'orc'(line 1, pos 0) This error does not occur when using HiveQL using Hive CLI or when running this query in Hive View via Ambari, or even through hive jdbc. Why does this cause an error in Spark-SQL?
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Labels:
- Labels:
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Apache Hive
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Apache Spark
07-11-2018
09:48 PM
Additionally, that feature appears to be for cluster mode, but we are intending to run in YARN mode. If this feature is only on cluster mode then it seems like it will be at a loss if we decided to run using this fix, as the changes would not be used.
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07-11-2018
03:50 PM
I attempted setting those configuration settings to true, but now I receive the following error: Exception in thread "main" org.apache.hadoop.fs.UnsupportedFileSystemException: No FileSystem for scheme "hdfs"
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:3266)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3286)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:123)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3337)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3305)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:476)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:467)
at org.apache.spark.util.Utils$.getHadoopFileSystem(Utils.scala:1859)
at org.apache.spark.scheduler.EventLoggingListener.<init>(EventLoggingListener.scala:68)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:529)
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.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$runMain(SparkSubmit.scala:782)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) What I found was suggested was here https://stackoverflow.com/questions/17265002/hadoop-no-filesystem-for-scheme-file But this solution did not work.
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07-10-2018
09:26 PM
Hello Sunile Manjee (@sunile.manjee), Thank you for reaching out! We are already building an uber jar using the shade plugin for maven. That is what I posted in a comment above, sorry for the confusion! We resolved the error. However, the method in which we resolved the error does not seem to be advisable. In the /usr/hdp/current/spark2-client/jars directory exists two jars, okhttp-2.4.0.jar and okio.1.4.0.jar. Our uber jar includes the dependencies okhttp3-3.10.0.jar and okio.1.14.0.jar. Looking at the stack trace above, you will notice that the error is thrown when accessing okio classes. What we realized is that okio.1.14.0.jar conlicts with the jar in /usr/hdp/current/spark2-client/jars, which is okio.1.4.0.jar (okhttp-3.10.0.jar does not because the dependency name is changed). Therefore, we concluded that the jars in /usr/hdp/current/spark2-client/jars are being preferred over the classes provided in our uber jar. The solution that we used, which again is likely not a good one, was to move the okio-1.4.0.jar out of the /usr/hdp/current/spark2-client/jars directory. After this, spark-submit was using our dependency, okio-1.14.0.jar, and the application ran successfully as intended. So my follow-up question is: What is the intended way to override classes found in /usr/hdp/current/spark2-client/jars? Is there a way in which we can prioritize our own dependencies for use over the ones provided in this directory? Thank you very much for your time, -Alex
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07-09-2018
10:00 PM
This is the maven shade plugin that is being used for the project: <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> </execution> </executions> <configuration> <filters> <filter> <artifact>*:*</artifact> <excludes> <exclude>META-INF/*.SF</exclude> <exclude>META-INF/*.DSA</exclude> <exclude>META-INF/*.RSA</exclude> </excludes> </filter> </filters> </configuration>
</plugin>
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07-09-2018
09:45 PM
I have an application jar with the dependency okhttp 3.10.0, which has a dependency on okio 1.14.0. Spark2 client provides Okhttp 2.14.0 and okio 1.4.0 in the /usr/hdp/current/spark2-client/jars directory. When running the spark application, I receive the following error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 1 times, most recent failure: Lost task 0.0 in stage 3.0 (TID 3, localhost, executor driver): java.lang.NoSuchMethodError: okio.BufferedSource.readUtf8LineStrict(J)Ljava/lang/String;
at okhttp3.internal.http1.Http1Codec.readHeaderLine(Http1Codec.java:215)
at okhttp3.internal.http1.Http1Codec.readResponseHeaders(Http1Codec.java:189)
at okhttp3.internal.http.CallServerInterceptor.intercept(CallServerInterceptor.java:88)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:147)
at okhttp3.internal.connection.ConnectInterceptor.intercept(ConnectInterceptor.java:45)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:147)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:121)
at okhttp3.internal.cache.CacheInterceptor.intercept(CacheInterceptor.java:93)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:147)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:121)
at okhttp3.internal.http.BridgeInterceptor.intercept(BridgeInterceptor.java:93)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:147)
at okhttp3.internal.http.RetryAndFollowUpInterceptor.intercept(RetryAndFollowUpInterceptor.java:126)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:147)
at okhttp3.internal.http.RealInterceptorChain.proceed(RealInterceptorChain.java:121)
at okhttp3.RealCall.getResponseWithInterceptorChain(RealCall.java:200)
at okhttp3.RealCall.execute(RealCall.java:77) .... at org.apache.spark.rdd.RDD$anonfun$foreachPartition$1$anonfun$apply$29.apply(RDD.scala:926)
at org.apache.spark.rdd.RDD$anonfun$foreachPartition$1$anonfun$apply$29.apply(RDD.scala:926)
at org.apache.spark.SparkContext$anonfun$runJob$5.apply(SparkContext.scala:2069)
at org.apache.spark.SparkContext$anonfun$runJob$5.apply(SparkContext.scala:2069)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745) And: Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$failJobAndIndependentStages(DAGScheduler.scala:1517)
at org.apache.spark.scheduler.DAGScheduler$anonfun$abortStage$1.apply(DAGScheduler.scala:1505)
at org.apache.spark.scheduler.DAGScheduler$anonfun$abortStage$1.apply(DAGScheduler.scala:1504)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1504)
at org.apache.spark.scheduler.DAGScheduler$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1732)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1687)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1676)
at org.apache.spark.util.EventLoop$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2050)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2069)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
at org.apache.spark.rdd.RDD$anonfun$foreachPartition$1.apply(RDD.scala:926)
at org.apache.spark.rdd.RDD$anonfun$foreachPartition$1.apply(RDD.scala:924)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:924) This occurs even when I bring in the two dependencies during spark-submit with the following flag: --packages com.squareup.okhttp3:okhttp:3.10.0 Any suggestions? I would like to be able to resolve these dependency conflicts for not just OkHttp but other classes that I bring into the spark application.
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Labels:
- Labels:
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Apache Spark