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Nifi Listfile - Exclude Directories

by Expert Contributor in Support Questions
‎12-14-2018 08:39 AM
1 Kudo
‎12-14-2018 08:39 AM
1 Kudo
How can I setup the list file processor so that it excludes certain folders? For example if we have the following director /root/A /root/B /root/C /root/D How can i exclude folders C and B in the path filter? Thanks, Ahmad ... View more
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Re: Nifi error - Malformed input or input contain...

by Expert Contributor in Support Questions
‎05-25-2018 10:38 AM
‎05-25-2018 10:38 AM
It's still not working unfortunately ... View more

Re: Nifi error - Malformed input or input contain...

by Expert Contributor in Support Questions
‎05-17-2018 07:27 AM
‎05-17-2018 07:27 AM
@Kiran Nittala I have thousands of flowfiles in queues in other processors. Will i lose them if i restart nifi? Thanks Ahmad ... View more

Nifi error - Malformed input or input contains un...

by Expert Contributor in Support Questions
‎05-16-2018 09:10 AM
‎05-16-2018 09:10 AM
I am getting this error with the FetchFile or GetFile processors 2018-05-16 12:04:15,133 WARN [Timer-Driven Process Thread-7] o.a.n.controller.tasks.ConnectableTask Administratively Yielding ListFile[id=6804e073-0163-1000-56d7-1d884aef90a1] due to uncaught Exception: java.nio.file.InvalidPathException: Malformed input or input contains unmappable characters: /mnt/win/ArchivesCD/08103DOC.CFL/P1-Especifica????es.pdf java.nio.file.InvalidPathException: Malformed input or input contains unmappable characters: /mnt/win/ArchivesCD/08103DOC.CFL/P1-Especifica????es.pdf How can i resolve this? And does the processor abandon the entire process or skip the "malformed" file? My nifi version is 1.6.0 Thanks Ahmad ... View more
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Re: Scala Flatten multi valued column into rows

by Expert Contributor in Support Questions
‎07-26-2017 09:57 PM
‎07-26-2017 09:57 PM
this is the code i came up with, is there a better approach? val ds = filteredDF.as[(Integer, String, String, String, String, Double, Integer)] var df = ds.flatMap { case (x1, x2, x3, x4, x5, x6, x7) => x3.split(",").map((x1, x2, _, x4, x5, x6, x7)) }.toDF ... View more

Scala Flatten multi valued column into rows

by Expert Contributor in Support Questions
‎07-26-2017 06:33 PM
‎07-26-2017 06:33 PM
I am working with scala and i have a dataframe with one of its columns containing several values delimited by a comma. How can i turn these rows ["1", "x,y,z,", "A"] ["2", "x,y", "B"] into ["1", "x,", "A"] ["1", "y,", "A"] ["1", "z", "A"] ["2", "x", "B"] ["2", "y", "B"] ... View more
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Saving a dataframe to a hive table

by Expert Contributor in Support Questions
‎05-05-2017 03:00 PM
‎05-05-2017 03:00 PM
I am getting this error when i try to save a dataframe into a file 17/05/05 17:19:20 ERROR DefaultWriterContainer: Job job_201705051719_0000 aborted. Traceback (most recent call last): File "/opt/sqlscrapper.py", line 24, in <module> df.write.format("orc").save("/tmp/orc_query_output") File "/usr/hdp/2.5.3.0-37/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 397, in save File "/usr/hdp/2.5.3.0-37/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__ File "/usr/hdp/2.5.3.0-37/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 45, in deco File "/usr/hdp/2.5.3.0-37/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o51.save. : org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:154) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:106) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:106) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:106) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:256) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) at py4j.Gateway.invoke(Gateway.java:259) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:209) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, db-hdp-dn2.darbeirut.com): java.lang.ClassNotFoundException: com.microsoft.sqlserver.jdbc.SQLServerDriver at java.net.URLClassLoader.findClass(URLClassLoader.java:381) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:38) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$2.apply(JdbcUtils.scala:53) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$2.apply(JdbcUtils.scala:52) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.<init>(JDBCRDD.scala:347) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:339) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) 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) import os from pyspark import SparkConf,SparkContext from pyspark.sql import HiveContext import pandas as pd conf = (SparkConf() .setAppName("data_import") .set("spark.dynamicAllocation.enabled","true") .set("spark.shuffle.service.enabled","true")) sc = SparkContext(conf = conf) sqlctx = HiveContext(sc) df = sqlctx.load( source="jdbc", url="jdbc:sqlserver://db-sqltech:1433;database=WebUsage;user=username;password=password", dbtable="EmployeeMobiles", properties={"driver": 'com.sqlserver.jdbc.Driver'}) df.write.format("orc").save("/tmp/orc_query_output") df.write.mode('overwrite').format('orc').saveAsTable("WebLog") ... 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Re: Spark (PySpark) to extract from SQL Server

by Expert Contributor in Community Articles
‎05-05-2017 02:28 PM
‎05-05-2017 02:28 PM
Hey i am getting the following error 17/05/05 17:19:20 ERROR DefaultWriterContainer: Job job_201705051719_0000 aborted. Traceback (most recent call last): File "/opt/sqlscrapper.py", line 24, in <module> df.write.format("orc").save("/tmp/orc_query_output") File "/usr/hdp/2.5.3.0-37/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 397, in save File "/usr/hdp/2.5.3.0-37/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__ File "/usr/hdp/2.5.3.0-37/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 45, in deco File "/usr/hdp/2.5.3.0-37/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o51.save. : org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:154) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:106) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:106) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:106) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56) at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:256) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) at py4j.Gateway.invoke(Gateway.java:259) at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) at py4j.commands.CallCommand.execute(CallCommand.java:79) at py4j.GatewayConnection.run(GatewayConnection.java:209) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, db-hdp-dn2.darbeirut.com): java.lang.ClassNotFoundException: com.microsoft.sqlserver.jdbc.SQLServerDriver at java.net.URLClassLoader.findClass(URLClassLoader.java:381) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) at org.apache.spark.sql.execution.datasources.jdbc.DriverRegistry$.register(DriverRegistry.scala:38) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$2.apply(JdbcUtils.scala:53) at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$createConnectionFactory$2.apply(JdbcUtils.scala:52) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$$anon$1.<init>(JDBCRDD.scala:347) at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD.compute(JDBCRDD.scala:339) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313) at org.apache.spark.rdd.RDD.iterator(RDD.scala:277) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1433) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1421) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1420) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1420) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:801) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:801) ... 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Re: GETHDFS recrawling problem

by Expert Contributor in Support Questions
‎04-06-2017 01:36 PM
‎04-06-2017 01:36 PM
i am trying the listhdfs processor, for some reason it is only retrieving around 5000 files ... View more

GETHDFS recrawling problem

by Expert Contributor in Support Questions
‎04-06-2017 08:12 AM
‎04-06-2017 08:12 AM
Hello Everytime i face an error in my nifi workflow, the gethdfs processor recrawls the hdfs directory right from the beginning. I want to keep the files where they are in hdfs (keep source file = true) How can i have the gethdfs processor continue from where it stopped? Thanks ... View more
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‎10-30-2017 03:58 AM
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Member Since ‎10-24-2017 11:24 PM
Last Visited ‎10-30-2017 03:58 AM
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