ruanhang1993 removed a comment on pull request #14376:
URL: https://github.com/apache/flink/pull/14376#issuecomment-786451333
HI, @maosuhan thanks a lot for your work. I have used the code based on
flink 1.11.2. There are some problem for me when using the protobuf format:
1. protobuf-java jar in flink-protobuf conflicts with which in flink-dist
and flink-sql-connector-hive
2. There are some problems using protobuf format when recovering from some
checkpoint
```
Caused by: java.io.IOException: Failed to deserialize PB object.
at
org.apache.flink.formats.protobuf.deserialize.PbRowDeserializationSchema.deserialize(PbRowDeserializationSchema.java:97)
~[xxx.jar:?]
at
org.apache.flink.formats.protobuf.deserialize.PbRowDeserializationSchema.deserialize(PbRowDeserializationSchema.java:39)
~[xxx.jar:?]
at
org.apache.flink.api.common.serialization.DeserializationSchema.deserialize(DeserializationSchema.java:81)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
at
org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.deserialize(KafkaDeserializationSchemaWrapper.java:56)
~[xxx.jar:?]
at
org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:181)
~[xxx.jar:?]
at
org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:141)
~[xxx.jar:?]
at
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:755)
~[xxx.jar:?]
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
at
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:213)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
Caused by: java.lang.NullPointerException
at
org.apache.flink.formats.protobuf.deserialize.PbRowDeserializationSchema.deserialize(PbRowDeserializationSchema.java:91)
~[xxx.jar:?]
at
org.apache.flink.formats.protobuf.deserialize.PbRowDeserializationSchema.deserialize(PbRowDeserializationSchema.java:39)
~[xxx.jar:?]
at
org.apache.flink.api.common.serialization.DeserializationSchema.deserialize(DeserializationSchema.java:81)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
at
org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper.deserialize(KafkaDeserializationSchemaWrapper.java:56)
~[xxx.jar:?]
at
org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.partitionConsumerRecordsHandler(KafkaFetcher.java:181)
~[xxx.jar:?]
at
org.apache.flink.streaming.connectors.kafka.internal.KafkaFetcher.runFetchLoop(KafkaFetcher.java:141)
~[xxx.jar:?]
at
org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:755)
~[xxx.jar:?]
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:100)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
at
org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:63)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
at
org.apache.flink.streaming.runtime.tasks.SourceStreamTask$LegacySourceFunctionThread.run(SourceStreamTask.java:213)
~[flink-dist_2.11-1.11.2.jar:1.11.2]
```
For problem 1，I resolve it by using the protobuf-java jar in flink-dist，and
set the scope of protobuf-java in flink-protobuf to provided. Besides, I shaded
the protobuf-java in flink-sql-connector-hive.
```
// flink-protobuf : pom.xml
<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>${protoc.version}</version>
<scope>provided</scope>
</dependency>
// flink-sql-connector-hive-1.2.2 :pom.xml :shade-plugin
<relocations>
<relocation>
<pattern>com.google.protobuf</pattern>
<shadedPattern>org.apache.flink.connector.sql.hive.com.google.protobuf</shadedPattern>
</relocation>
</relocations>
```
For problem 2 (when submit job by `flink run -s <checkpoint>`), I simply
used the following code for `deserialize` method in
`PbRowDeserializationSchema` class to fix this issue.
```java
@Override
public RowData deserialize(byte[] message) throws IOException {
try {
if(protoToRowConverter == null) {
protoToRowConverter = new ProtoToRowConverter(messageClassName,
rowType, readDefaultValues);
}
return protoToRowConverter.convertProtoBinaryToRow(message);
} catch (Throwable t) {
if (ignoreParseErrors) {
return null;
}
LOG.error("Failed to deserialize PB object.", t);
throw new IOException("Failed to deserialize PB object.", t);
}
}
```
I don't know if the question is that the way i use or the different flink
version 1.11.2, hope the problems for me are helpful for this PR.
Do you have any better advice for me to fix it ?
Thanks for Reading.
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