Fine. Just to clarify please.
With SBT assembly and Scala I would create an Uber jar file and used that one with spark-submit As I understand (and stand corrected) with PySpark one can only run spark-submit in client mode by directly using a py file? So hence spark-submit --master local[4] --packages org.apache.spark:spark-sql-kafka-0-10_2.12:3.1.1 <python_file> view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On Tue, 6 Apr 2021 at 17:39, Sean Owen <sro...@gmail.com> wrote: > Gabor's point is that these are not libraries you typically install in > your cluster itself. You package them with your app. > > On Tue, Apr 6, 2021 at 11:35 AM Mich Talebzadeh <mich.talebza...@gmail.com> > wrote: > >> Hi G >> >> Thanks for the heads-up. >> >> In a thread on 3rd of March I reported that 3.1.1 works in yarn mode >> >> Spark 3.1.1 Preliminary results (mainly to do with Spark Structured >> Streaming) (mail-archive.com) >> <https://www.mail-archive.com/user@spark.apache.org/msg75979.html> >> >> From that mail >> >> >> The needed jar files for version 3.1.1 to read from Kafka and write to >> BigQuery for 3.1.1 are as follows: >> >> All under $SPARK_HOME/jars on all nodes. These are the latest available jar >> files >> >> >> - commons-pool2-2.9.0.jar >> - spark-token-provider-kafka-0-10_2.12-3.1.0.jar >> - spark-sql-kafka-0-10_2.12-3.1.0.jar >> - kafka-clients-2.7.0.jar >> - spark-bigquery-latest_2.12.jar >> >> >> >> I just tested it and in local mode single JVM it works fine without the >> addition of package --> --packages >> org.apache.spark:spark-sql-kafka-0-10_2.12:3.1.1 >> BUT including all the above jars files >> >> Batch: 17 >> ------------------------------------------- >> +--------------------+------+-------------------+------+ >> | rowkey|ticker| timeissued| price| >> +--------------------+------+-------------------+------+ >> |54651f0d-1be0-4d7...| IBM|2021-04-06 17:17:04| 91.92| >> |8aa1ad79-4792-466...| SAP|2021-04-06 17:17:04| 34.93| >> |8567f327-cfec-43d...| TSCO|2021-04-06 17:17:04| 324.5| >> |138a1278-2f54-45b...| VOD|2021-04-06 17:17:04| 241.4| >> |e02793c3-8e78-47e...| ORCL|2021-04-06 17:17:04| 17.6| >> |0ab456fb-bd22-465...| SBRY|2021-04-06 17:17:04|350.45| >> |74588e92-a3e2-48c...| MSFT|2021-04-06 17:17:04| 44.58| >> |1e7203c6-6938-4ea...| BP|2021-04-06 17:17:04| 588.0| >> |1e55021a-148d-4aa...| MRW|2021-04-06 17:17:04|171.21| >> |229ad6f9-e4ed-475...| MKS|2021-04-06 17:17:04|439.17| >> +--------------------+------+-------------------+------+ >> >> However, if I exclude the jar file spark-sql-kafka-0-10_2.12-3.1.0.jar >> and include the packages as suggested in the link >> >> >> spark-submit --master local[4] --conf >> spark.pyspark.virtualenv.enabled=true --conf >> spark.pyspark.virtualenv.type=native --conf >> spark.pyspark.virtualenv.requirements=/home/hduser/dba/bin/python/requirements.txt >> --conf >> spark.pyspark.virtualenv.bin.path=/usr/src/Python-3.7.3/airflow_virtualenv >> --conf >> spark.pyspark.python=/usr/src/Python-3.7.3/airflow_virtualenv/bin/python3 >> *--packages >> org.apache.spark:spark-sql-kafka-0-10_2.12:3.1.1* xyz.py >> >> It cannot fetch the data >> >> root >> |-- parsed_value: struct (nullable = true) >> | |-- rowkey: string (nullable = true) >> | |-- ticker: string (nullable = true) >> | |-- timeissued: timestamp (nullable = true) >> | |-- price: float (nullable = true) >> >> {'message': 'Initializing sources', 'isDataAvailable': False, >> 'isTriggerActive': False} >> ------------------------------------------- >> Batch: 0 >> ------------------------------------------- >> +------+------+----------+-----+ >> |rowkey|ticker|timeissued|price| >> +------+------+----------+-----+ >> +------+------+----------+-----+ >> >> 2021-04-06 17:20:11,492 ERROR util.Utils: Aborting task >> java.lang.NoSuchMethodError: >> org.apache.spark.kafka010.KafkaTokenUtil$.needTokenUpdate(Ljava/util/Map;Lscala/Option;)Z >> at >> org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer.getOrRetrieveConsumer(KafkaDataConsumer.scala:549) >> at >> org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer.$anonfun$get$1(KafkaDataConsumer.scala:291) >> at >> org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:77) >> at >> org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer.runUninterruptiblyIfPossible(KafkaDataConsumer.scala:604) >> at >> org.apache.spark.sql.kafka010.consumer.KafkaDataConsumer.get(KafkaDataConsumer.scala:287) >> at >> org.apache.spark.sql.kafka010.KafkaBatchPartitionReader.next(KafkaBatchPartitionReader.scala:63) >> at >> org.apache.spark.sql.execution.datasources.v2.PartitionIterator.hasNext(DataSourceRDD.scala:79) >> at >> org.apache.spark.sql.execution.datasources.v2.MetricsIterator.hasNext(DataSourceRDD.scala:112) >> at >> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37) >> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) >> at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown >> Source) >> at >> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) >> at >> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755) >> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458) >> at >> org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.$anonfun$run$1(WriteToDataSourceV2Exec.scala:413) >> at >> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1473) >> at >> org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTask$.run(WriteToDataSourceV2Exec.scala:452) >> at >> org.apache.spark.sql.execution.datasources.v2.V2TableWriteExec.$anonfun$writeWithV2$2(WriteToDataSourceV2Exec.scala:360) >> at >> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) >> at org.apache.spark.scheduler.Task.run(Task.scala:131) >> at >> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497) >> at >> org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439) >> at >> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >> at java.lang.Thread.run(Thread.java:748) >> 2021-04-06 17:20:11,492 ERROR util.Utils: Aborting task >> java.lang.NoSuchMethodError: >> org.apache.spark.kafka010.KafkaTokenUtil$.needTokenUpdate(Ljava/util/Map;Lscala/Option;)Z >> >> >> Now I deleted ~/.ivy2 directory and ran the job again >> >> Ivy Default Cache set to: /home/hduser/.ivy2/cache >> The jars for the packages stored in: /home/hduser/.ivy2/jars >> org.apache.spark#spark-sql-kafka-0-10_2.12 added as a dependency >> :: resolving dependencies :: >> org.apache.spark#spark-submit-parent-2bab6bd2-3136-4783-b044-810f0800ef0e;1.0 >> >> let us go and have a look at the directory .ivy2/jars >> >> /home/hduser/.ivy2/jars> ltr >> total 13108 >> -rw-r--r-- 1 hduser hadoop 2777 Oct 22 2014 >> org.spark-project.spark_unused-1.0.0.jar >> -rw-r--r-- 1 hduser hadoop 129174 Apr 6 2019 >> org.apache.commons_commons-pool2-2.6.2.jar >> -rw-r--r-- 1 hduser hadoop 41472 Dec 16 2019 >> org.slf4j_slf4j-api-1.7.30.jar >> -rw-r--r-- 1 hduser hadoop 649950 Jan 18 2020 org.lz4_lz4-java-1.7.1.jar >> -rw-r--r-- 1 hduser hadoop 3754508 Jul 28 2020 >> org.apache.kafka_kafka-clients-2.6.0.jar >> -rw-r--r-- 1 hduser hadoop 1969177 Nov 28 18:10 >> org.xerial.snappy_snappy-java-1.1.8.2.jar >> -rw-r--r-- 1 hduser hadoop 6407352 Dec 19 13:14 >> com.github.luben_zstd-jni-1.4.8-1.jar >> -rw-r--r-- 1 hduser hadoop 387494 Feb 22 03:57 >> org.apache.spark_spark-sql-kafka-0-10_2.12-3.1.1.jar >> -rw-r--r-- 1 hduser hadoop 55766 Feb 22 03:58 >> org.apache.spark_spark-token-provider-kafka-0-10_2.12-3.1.1.jar >> drwxr-xr-x 4 hduser hadoop 4096 Apr 6 17:25 .. >> drwxr-xr-x 2 hduser hadoop 4096 Apr 6 17:25 . >> >> Strangely these jar files like org.apache.kafka_kafka-clients-2.6.0.jar >> and org.apache.commons_commons-pool2-2.6.2.jar seem to be out of date. >> >> Very confusing. Sounds like we have changed something in the cluster that >> as reported on 3rd March it used to work with those jar files and now not >> working. >> >> So in summary *without those jar files added to $SPARK_HOME/jars i*t >> fails totally even with the packages added. >> >> Cheers >> >> >> view my Linkedin profile >> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> >> >> >> >> *Disclaimer:* Use it at your own risk. Any and all responsibility for >> any loss, damage or destruction of data or any other property which may >> arise from relying on this email's technical content is explicitly >> disclaimed. The author will in no case be liable for any monetary damages >> arising from such loss, damage or destruction. >> >> >> >> >> On Tue, 6 Apr 2021 at 15:44, Gabor Somogyi <gabor.g.somo...@gmail.com> >> wrote: >> >>> > Anyway I unzipped the tarball for Spark-3.1.1 and there is >>> no spark-sql-kafka-0-10_2.12-3.0.1.jar even >>> >>> Please see how Structured Streaming app with Kafka needs to be deployed >>> here: >>> https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html#deploying >>> I don't see the --packages option... >>> >>> G >>> >>> >>> On Tue, Apr 6, 2021 at 2:40 PM Mich Talebzadeh < >>> mich.talebza...@gmail.com> wrote: >>> >>>> OK thanks for that. >>>> >>>> I am using spark-submit with PySpark as follows >>>> >>>> spark-submit --version >>>> Welcome to >>>> ____ __ >>>> / __/__ ___ _____/ /__ >>>> _\ \/ _ \/ _ `/ __/ '_/ >>>> /___/ .__/\_,_/_/ /_/\_\ version 3.1.1 >>>> /_/ >>>> >>>> Using Scala version 2.12.9, Java HotSpot(TM) 64-Bit Server VM, 1.8.0_201 >>>> Branch HEAD >>>> Compiled by user ubuntu on 2021-02-22T01:33:19Z >>>> >>>> >>>> spark-submit --master yarn --deploy-mode client --conf >>>> spark.pyspark.virtualenv.enabled=true --conf >>>> spark.pyspark.virtualenv.type=native --conf >>>> spark.pyspark.virtualenv.requirements=/home/hduser/dba/bin/python/requirements.txt >>>> --conf >>>> spark.pyspark.virtualenv.bin.path=/usr/src/Python-3.7.3/airflow_virtualenv >>>> --conf >>>> spark.pyspark.python=/usr/src/Python-3.7.3/airflow_virtualenv/bin/python3 >>>> --driver-memory 16G --executor-memory 8G --num-executors 4 --executor-cores >>>> 2 xyz.py >>>> >>>> enabling with virtual environment >>>> >>>> >>>> That works fine with any job that does not do structured streaming in a >>>> client mode. >>>> >>>> >>>> Running on local node with >>>> >>>> >>>> spark-submit --master local[4] --conf >>>> spark.pyspark.virtualenv.enabled=true --conf >>>> spark.pyspark.virtualenv.type=native --conf >>>> spark.pyspark.virtualenv.requirements=/home/hduser/dba/bin/python/requirements.txt >>>> --conf >>>> spark.pyspark.virtualenv.bin.path=/usr/src/Python-3.7.3/airflow_virtualenv >>>> --conf >>>> spark.pyspark.python=/usr/src/Python-3.7.3/airflow_virtualenv/bin/python3 >>>> xyz.py >>>> >>>> >>>> works fine with the same spark version and $SPARK_HOME/jars >>>> >>>> >>>> Cheers >>>> >>>> >>>> >>>> view my Linkedin profile >>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> >>>> >>>> >>>> >>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for >>>> any loss, damage or destruction of data or any other property which may >>>> arise from relying on this email's technical content is explicitly >>>> disclaimed. The author will in no case be liable for any monetary damages >>>> arising from such loss, damage or destruction. >>>> >>>> >>>> >>>> >>>> On Tue, 6 Apr 2021 at 13:20, Sean Owen <sro...@gmail.com> wrote: >>>> >>>>> You may be compiling your app against 3.0.1 JARs but submitting to >>>>> 3.1.1. >>>>> You do not in general modify the Spark libs. You need to package libs >>>>> like this with your app at the correct version. >>>>> >>>>> On Tue, Apr 6, 2021 at 6:42 AM Mich Talebzadeh < >>>>> mich.talebza...@gmail.com> wrote: >>>>> >>>>>> Thanks Gabor. >>>>>> >>>>>> All nodes are running Spark /spark-3.1.1-bin-hadoop3.2 >>>>>> >>>>>> So $SPARK_HOME/jars contains all the required jars on all nodes >>>>>> including the jar file commons-pool2-2.9.0.jar as well. >>>>>> >>>>>> They are installed identically on all nodes. >>>>>> >>>>>> I have looked at the Spark environment for classpath. Still I don't >>>>>> see the reason why Spark 3.1.1 fails with spark-sql-kafka-0-10_2. >>>>>> 12-3.1.1.jar >>>>>> but works ok with spark-sql-kafka-0-10_2.12-3.1.0.jar >>>>>> >>>>>> Anyway I unzipped the tarball for Spark-3.1.1 and there is >>>>>> no spark-sql-kafka-0-10_2.12-3.0.1.jar even >>>>>> >>>>>> I had to add spark-sql-kafka-0-10_2.12-3.0.1.jar to make it work. >>>>>> Then I enquired the availability of new version from Maven that pointed >>>>>> to >>>>>> *spark-sql-kafka-0-10_2.12-3.1.1.jar* >>>>>> >>>>>> So to confirm Spark out of the tarball does not have any >>>>>> >>>>>> ltr spark-sql-kafka-* >>>>>> ls: cannot access spark-sql-kafka-*: No such file or directory >>>>>> >>>>>> >>>>>> For SSS, I had to add these >>>>>> >>>>>> add commons-pool2-2.9.0.jar. The one shipped is >>>>>> commons-pool-1.5.4.jar! >>>>>> >>>>>> add kafka-clients-2.7.0.jar Did not have any >>>>>> >>>>>> add spark-sql-kafka-0-10_2.12-3.0.1.jar Did not have any >>>>>> >>>>>> I gather from your second mail, there seems to be an issue with >>>>>> spark-sql-kafka-0-10_2.12-3.*1*.1.jar ? >>>>>> >>>>>> HTH >>>>>> >>>>>> >>>>>> >>>>>> view my Linkedin profile >>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> >>>>>> >>>>>> >>>>>> >>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility >>>>>> for any loss, damage or destruction of data or any other property which >>>>>> may >>>>>> arise from relying on this email's technical content is explicitly >>>>>> disclaimed. The author will in no case be liable for any monetary damages >>>>>> arising from such loss, damage or destruction. >>>>>> >>>>>> >>>>>> >>>>>> >>>>>> On Tue, 6 Apr 2021 at 11:54, Gabor Somogyi <gabor.g.somo...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Since you've not shared too much details I presume you've updated >>>>>>> the spark-sql-kafka jar only. >>>>>>> KafkaTokenUtil is in the token provider jar. >>>>>>> >>>>>>> As a general note if I'm right, please update Spark as a whole on >>>>>>> all nodes and not just jars independently. >>>>>>> >>>>>>> BR, >>>>>>> G >>>>>>> >>>>>>> >>>>>>> On Tue, Apr 6, 2021 at 10:21 AM Mich Talebzadeh < >>>>>>> mich.talebza...@gmail.com> wrote: >>>>>>> >>>>>>>> >>>>>>>> Hi, >>>>>>>> >>>>>>>> >>>>>>>> Any chance of someone testing the latest >>>>>>>> spark-sql-kafka-0-10_2.12-3.1.1.jar >>>>>>>> for Spark. It throws >>>>>>>> >>>>>>>> >>>>>>>> java.lang.NoSuchMethodError: >>>>>>>> org.apache.spark.kafka010.KafkaTokenUtil$.needTokenUpdate(Ljava/util/Map;Lscala/Option;)Z >>>>>>>> >>>>>>>> >>>>>>>> However, the previous version spark-sql-kafka-0-10_2.12-3.0.1.jar >>>>>>>> works fine >>>>>>>> >>>>>>>> >>>>>>>> Thanks >>>>>>>> >>>>>>>> >>>>>>>> view my Linkedin profile >>>>>>>> <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> *Disclaimer:* Use it at your own risk. Any and all responsibility >>>>>>>> for any loss, damage or destruction of data or any other property >>>>>>>> which may >>>>>>>> arise from relying on this email's technical content is explicitly >>>>>>>> disclaimed. The author will in no case be liable for any monetary >>>>>>>> damages >>>>>>>> arising from such loss, damage or destruction. >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>
