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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2021/09/24 06:25:29 UTC
[GitHub] [hudi] t822876884 opened a new issue #3711: [SUPPORT] flink jar with hudi 0.8.0 and how parsing complex structured data
t822876884 opened a new issue #3711:
URL: https://github.com/apache/hudi/issues/3711
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**Describe the problem you faced**
A clear and concise description of the problem.
**To Reproduce**
Steps to reproduce the behavior:
1.
2.
3.
4.
**Expected behavior**
A clear and concise description of what you expected to happen.
**Environment Description**
* Hudi version :
* Spark version :
* Hive version :
* Hadoop version :
* Storage (HDFS/S3/GCS..) :
* Running on Docker? (yes/no) :
**Additional context**
Add any other context about the problem here.
**Stacktrace**
```Add the stacktrace of the error.```
this is example data
```json
{
"data": {
"allocatedMB": -1,
"allocatedVCores": -1,
"amContainerLogs": "http://10.251.5.216:5008/node/containerlogs/container_e08_1630990426132_290653_01_000002/hive",
"amHostHttpAddress": "10.251.5.216:5008",
"amNodeLabelExpression": "",
"amRPCAddress": "10.251.5.216:43355",
"applicationTags": "",
"applicationType": "TEZ",
"clusterId": 1630990426132,
"clusterUsagePercentage": 0,
"diagnostics": "Session stats:submittedDAGs=1, successfulDAGs=1, failedDAGs=0, killedDAGs=0\n",
"elapsedTime": 75464,
"finalStatus": "SUCCEEDED",
"finishedTime": 1632345794876,
"id": "application_1630990426132_290653",
"logAggregationStatus": "SUCCEEDED",
"memorySeconds": 200127,
"name": "HIVE-13d2afc5-a34f-4d55-be00-88cf640b4f36",
"numAMContainerPreempted": 0,
"numNonAMContainerPreempted": 0,
"preemptedResourceMB": 0,
"preemptedResourceVCores": 0,
"priority": "0",
"progress": 100,
"queue": "root.default",
"queueUsagePercentage": 0,
"runningContainers": -1,
"startedTime": 1632345719412,
"state": "FINISHED",
"trackingUI": "History",
"trackingUrl": "http://10.251.5.44:5004/proxy/application_1630990426132_290653/",
"unmanagedApplication": false,
"user": "hive",
"vcoreSeconds": 97
},
"datetime": 1632397742386,
"id": "application_1630990426132_290653",
"type": "yarn"
}
```
this is schema.avsc
```json
{
"type":"record",
"name":"stock_ticks",
"fields":[{
"name": "id",
"type": "string"
},{
"name": "type",
"type": "string"
},{
"name": "data",
"type": "row"
},{
"name": "datetime",
"type": "long"
}]
}
```
test.java
```java
public static void main(String[] args) throws Exception {
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
/**
* checkpoint
*/
env.enableCheckpointing(5000L);
env.setStateBackend(new FsStateBackend("hdfs://hzwtest/tmp/bertram/hudi_on_flink_cp"));
Configuration configuration = new Configuration();
configuration.setString("table-type","COPY_ON_WRITE");
configuration.setString("target-base-path", "hdfs://hzwtest/tmp/bertram/big_data_analyse");
configuration.setString("target-table", "hudi_on_flink");
configuration.setString("props", "hdfs://hzwtest/tmp/bertram/hudi-conf.properties");
configuration.setString("read-schema-path", "hdfs://hzwtest/tmp/bertram/schema.avsc");
configuration.setString("read.avro-schema.path", "hdfs://hzwtest/tmp/bertram/schema.avsc");
configuration.setString("partition-path-field" , "datetime");
configuration.setString("source-ordering-field","datetime");
configuration.setString("record-key-field","id");
env.getConfig().setGlobalJobParameters(configuration);
Properties kafkaProps = kafkaProperties();
RowType rowType =
(RowType) AvroSchemaConverter.convertToDataType(StreamerUtil.getSourceSchema(configuration))
.getLogicalType();
DataStream<RowData> dataStream = env.addSource(new FlinkKafkaConsumer<>(
"big_data_analyse",
new JsonRowDataDeserializationSchema(
rowType,
new RowDataTypeInfo(rowType),
false,
true,
TimestampFormat.ISO_8601
), kafkaProps));
dataStream.filter(new FilterFunction<RowData>() {
@Override
public boolean filter(RowData value) throws Exception {
System.out.println(">>>>>>>>>>>value:"+value);
return false;
}
});
env.addOperator(dataStream.getTransformation());
env.execute("yarn_log_collect");
}
```
when i commit it to yarn i got this
when i change the data type to 'string' i got this
### How can I parse the data to write to hudi and which type i need choose?
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[GitHub] [hudi] xushiyan commented on issue #3711: [SUPPORT] flink jar with hudi 0.8.0 and how parsing complex structured data
Posted by GitBox <gi...@apache.org>.
xushiyan commented on issue #3711:
URL: https://github.com/apache/hudi/issues/3711#issuecomment-1025353895
Closing due to inactive
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[GitHub] [hudi] nsivabalan commented on issue #3711: [SUPPORT] flink jar with hudi 0.8.0 and how parsing complex structured data
Posted by GitBox <gi...@apache.org>.
nsivabalan commented on issue #3711:
URL: https://github.com/apache/hudi/issues/3711#issuecomment-1018634785
@t822876884 Do we have any follow ups here. if the issue is resolved, can we close the github issue.
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[GitHub] [hudi] xushiyan closed issue #3711: [SUPPORT] flink jar with hudi 0.8.0 and how parsing complex structured data
Posted by GitBox <gi...@apache.org>.
xushiyan closed issue #3711:
URL: https://github.com/apache/hudi/issues/3711
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[GitHub] [hudi] danny0405 commented on issue #3711: [SUPPORT] flink jar with hudi 0.8.0 and how parsing complex structured data
Posted by GitBox <gi...@apache.org>.
danny0405 commented on issue #3711:
URL: https://github.com/apache/hudi/issues/3711#issuecomment-926989697
Flink datastream supports pojo type as your nested type, you can define and have a try.
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[GitHub] [hudi] danny0405 commented on issue #3711: [SUPPORT] flink jar with hudi 0.8.0 and how parsing complex structured data
Posted by GitBox <gi...@apache.org>.
danny0405 commented on issue #3711:
URL: https://github.com/apache/hudi/issues/3711#issuecomment-926989930
I see you use the `JsonRowDataDeserializationSchema` deserialization, then you can define a row type with record type as nested type.
BTW, 0.9.0 or master are suggested to be used instead of 0.8.0.
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