You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2019/09/20 22:59:03 UTC
[GitHub] [incubator-hudi] umehrot2 opened a new pull request #915: Shade and
relocate Avro dependency in hadoop-mr-bundle
umehrot2 opened a new pull request #915: Shade and relocate Avro dependency in hadoop-mr-bundle
URL: https://github.com/apache/incubator-hudi/pull/915
As of now Hudi depends on Parquet 1.8.1 and Avro 1.7.7 which might work fine for older versions of Spark and Hive.
But when we build it with Spark 2.4.3 which uses Parquet 1.10.1 and Avro 1.8.2 using:
```
mvn clean install -DskipTests -DskipITs -Dhadoop.version=2.8.5 -Dspark.version=2.4.3 -Dhbase.version=1.4.10 -Dhive.version=2.3.5 -Dparquet.version=1.10.1 -Davro.version=1.8.2
```
We run into runtime issue on Hive 2.3.5 when querying RT tables:
```
hive> select record_key from mytable_mor_sep20_01_rt limit 10;
OK
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/avro/LogicalType
at org.apache.hudi.hadoop.realtime.AbstractRealtimeRecordReader.init(AbstractRealtimeRecordReader.java:323)
at org.apache.hudi.hadoop.realtime.AbstractRealtimeRecordReader.<init>(AbstractRealtimeRecordReader.java:105)
at org.apache.hudi.hadoop.realtime.RealtimeCompactedRecordReader.<init>(RealtimeCompactedRecordReader.java:48)
at org.apache.hudi.hadoop.realtime.HoodieRealtimeRecordReader.constructRecordReader(HoodieRealtimeRecordReader.java:67)
at org.apache.hudi.hadoop.realtime.HoodieRealtimeRecordReader.<init>(HoodieRealtimeRecordReader.java:45)
at org.apache.hudi.hadoop.realtime.HoodieParquetRealtimeInputFormat.getRecordReader(HoodieParquetRealtimeInputFormat.java:234)
at org.apache.hadoop.hive.ql.exec.FetchOperator$FetchInputFormatSplit.getRecordReader(FetchOperator.java:695)
at org.apache.hadoop.hive.ql.exec.FetchOperator.getRecordReader(FetchOperator.java:333)
at org.apache.hadoop.hive.ql.exec.FetchOperator.getNextRow(FetchOperator.java:459)
at org.apache.hadoop.hive.ql.exec.FetchOperator.pushRow(FetchOperator.java:428)
at org.apache.hadoop.hive.ql.exec.FetchTask.fetch(FetchTask.java:147)
at org.apache.hadoop.hive.ql.Driver.getResults(Driver.java:2208)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:253)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:184)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:403)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:821)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:759)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:686)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:239)
at org.apache.hadoop.util.RunJar.main(RunJar.java:153)
Caused by: java.lang.ClassNotFoundException: org.apache.avro.LogicalType
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
```
This is happening because we are shading parquet-avro which is now 1.10.1. And it requires Avro 1.8.2 which has this LogicalType class. However, Hive 2.3.5 has Avro 1.7.7 available at runtime which does not have LogicalType class.
To avoid these scenarios, and atleast allow usage of higher versions of Spark without affecting Hive integrations we propose the following:
- Compile Hudi with the Parquet/Avro version used by Spark always.
- Shade Avro in hadoop-mr-bundle to avoid issues due to older version of Avro being available there.
This will also help in our other issues, where we want to upgrade to Spark 2.4 and also deprecate use of databricks-avro. Thoughts ?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services