Hi, If you just want to use s3a, you only need flink-s3-fs-hadoop-1.12.1.jar in the plugin.
The format flink-sql-parquet_2.11-1.12.1.jar should be in lib. All other jars are not needed afaik. On Thu, Feb 11, 2021 at 9:00 AM meneldor <[email protected]> wrote: > Well, i am not sure which of those actually helped but it works now. I > downloaded the following jars in plugins/s3-fs-hadoop/ : >> >> flink-hadoop-compatibility_2.11-1.12.1.jar >> flink-s3-fs-hadoop-1.12.1.jar >> flink-sql-parquet_2.11-1.12.1.jar >> force-shading-1.12.1.jar >> hadoop-mapreduce-client-core-2.7.2.jar > > Also, i included them in > t_env.get_config().get_configuration().set_string("pipeline.jars", > "......" *)* > It works now and the only thing i cant figure out is how to change the > file naming. All files are named like > *part-5f696f6d-4f66-46ea-b321-891c76cae89e-0-1 > *and dont have the '.parquet' suffix. > > Thanks > > On Wed, Feb 10, 2021 at 6:55 PM Matthias Pohl <[email protected]> > wrote: > >> Hi, >> have tried using the bundled hadoop uber jar [1]. It looks like some >> Hadoop dependencies are missing. >> >> Best, >> Matthias >> >> [1] https://flink.apache.org/downloads.html#additional-components >> >> On Wed, Feb 10, 2021 at 1:24 PM meneldor <[email protected]> wrote: >> >>> Hello, >>> I am using PyFlink and I want to write records from the table sql api as >>> parquet files on AWS S3. I followed the documentations but it seems that >>> I'm missing some dependencies or/and configuration. Here is the SQL: >>> >>>> CREATE TABLE sink_table( >>>> `id` VARCHAR, >>>> `type` VARCHAR, >>>> `machn` VARCHAR, >>>> `lastacct_id` BIGINT, >>>> `upd_ts` BIGINT >>>> ) WITH ( >>>> 'connector' = 'filesystem', >>>> 'path' = 's3a://my-bucket/flink_sink', >>>> 'format' = 'parquet' >>>> ) >>>> >>>> This is the configuration in flink-conf.yaml: >>> >>> s3.endpoint: https://s3.us-west-1.amazonaws.com >>>> s3.path.style.access: true >>>> s3.access-key: ***KEY-STRING*** >>>> s3.secret-key: ***KEY-SECRET-STRING*** >>>> s3.entropy.key: _entropy_ >>>> s3.entropy.length: 8 >>>> hadoop.s3.socket-timeout: 10m >>>> >>> I downloaded flink-s3-fs-hadoop-1.12.1.jar and >>> flink-hadoop-compatibility_2.11-1.12.1.jar in plugins/ and >>> flink-sql-parquet_2.11-1.12.1.jar in lib/ >>> >>> Here is the exception: >>> >>>> Traceback (most recent call last): >>>> File "s3_sink.py", line 101, in <module> >>>> """) >>>> File >>>> "/home/user/miniconda3/lib/python3.7/site-packages/pyflink/table/table_environment.py", >>>> line 766, in execute_sql >>>> return TableResult(self._j_tenv.executeSql(stmt)) >>>> File >>>> "/home/user/miniconda3/lib/python3.7/site-packages/py4j/java_gateway.py", >>>> line 1286, in __call__ >>>> answer, self.gateway_client, self.target_id, self.name) >>>> File >>>> "/home/user/miniconda3/lib/python3.7/site-packages/pyflink/util/exceptions.py", >>>> line 147, in deco >>>> return f(*a, **kw) >>>> File >>>> "/home/user/miniconda3/lib/python3.7/site-packages/py4j/protocol.py", line >>>> 328, in get_return_value >>>> format(target_id, ".", name), value) >>>> py4j.protocol.Py4JJavaError: An error occurred while calling >>>> o14.executeSql. >>>> : java.lang.NoClassDefFoundError: org/apache/hadoop/conf/Configuration >>>> >>> at >>>> org.apache.flink.formats.parquet.ParquetFileFormatFactory.getParquetConfiguration(ParquetFileFormatFactory.java:115) >>> >>> at >>>> org.apache.flink.formats.parquet.ParquetFileFormatFactory.access$000(ParquetFileFormatFactory.java:51) >>> >>> at >>>> org.apache.flink.formats.parquet.ParquetFileFormatFactory$2.createRuntimeEncoder(ParquetFileFormatFactory.java:103) >>> >>> at >>>> org.apache.flink.formats.parquet.ParquetFileFormatFactory$2.createRuntimeEncoder(ParquetFileFormatFactory.java:97) >>> >>> at >>>> org.apache.flink.table.filesystem.FileSystemTableSink.createWriter(FileSystemTableSink.java:373) >>> >>> at >>>> org.apache.flink.table.filesystem.FileSystemTableSink.createStreamingSink(FileSystemTableSink.java:183) >>> >>> at >>>> org.apache.flink.table.filesystem.FileSystemTableSink.consume(FileSystemTableSink.java:145) >>> >>> at >>>> org.apache.flink.table.filesystem.FileSystemTableSink.lambda$getSinkRuntimeProvider$0(FileSystemTableSink.java:134) >>> >>> at >>>> org.apache.flink.table.planner.plan.nodes.common.CommonPhysicalSink.createSinkTransformation(CommonPhysicalSink.scala:95) >>> >>> at >>>> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:103) >>> >>> at >>>> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:43) >>> >>> at >>>> org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:59) >>> >>> at >>>> org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:43) >>> >>> at >>>> org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:66) >>> >>> at >>>> org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:65) >>> >>> at >>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >>> >>> at >>>> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >>> >>> at scala.collection.Iterator$class.foreach(Iterator.scala:891) >>> >>> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) >>> >>> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) >>> >>> at scala.collection.AbstractIterable.foreach(Iterable.scala:54) >>> >>> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) >>> >>> at scala.collection.AbstractTraversable.map(Traversable.scala:104) >>> >>> at >>>> org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:65) >>> >>> at >>>> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:167) >>> >>> at >>>> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1329) >>> >>> at >>>> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeInternal(TableEnvironmentImpl.java:676) >>> >>> at >>>> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeOperation(TableEnvironmentImpl.java:767) >>> >>> at >>>> org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:666) >>> >>> at >>>> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native >>>> Method) >>> >>> at >>>> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >>> >>> at >>>> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> >>> at java.base/java.lang.reflect.Method.invoke(Method.java:566) >>> >>> at >>>> org.apache.flink.api.python.shaded.py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) >>> >>> at >>>> org.apache.flink.api.python.shaded.py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) >>> >>> at >>>> org.apache.flink.api.python.shaded.py4j.Gateway.invoke(Gateway.java:282) >>> >>> at >>>> org.apache.flink.api.python.shaded.py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) >>> >>> at >>>> org.apache.flink.api.python.shaded.py4j.commands.CallCommand.execute(CallCommand.java:79) >>> >>> at >>>> org.apache.flink.api.python.shaded.py4j.GatewayConnection.run(GatewayConnection.java:238) >>> >>> at java.base/java.lang.Thread.run(Thread.java:834) >>> >>> Caused by: java.lang.ClassNotFoundException: >>>> org.apache.hadoop.conf.Configuration >>>> >>> at >>>> java.base/jdk.internal.loader.BuiltinClassLoader.loadClass(BuiltinClassLoader.java:581) >>> >>> at >>>> java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(ClassLoaders.java:178) >>> >>> at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:521) >>> >>> ... 40 more >>> >>> >>> Thank you! >>> >>
