PhantomHunt opened a new issue, #8572:
URL: https://github.com/apache/hudi/issues/8572
We have created Hudi datalake with version 0.13.0
We need to read data from a few tables in an incremental fashion.
To fetch the active timelines for a MoR table, we are using the following
piece of code where basePath is the S3 bucket path where data lies :
```
metaClient=(spark._jvm.org.apache.hudi.common.table.HoodieTableMetaClient.builder().setConf(spark._jsc.hadoopConfiguration()).setBasePath(basePath).setLoadActiveTimelineOnLoad(True).build())
timeline=metaClient.getActiveTimeline().getCommitsTimeline().filterCompletedInstants()
instants=
timeline.getInstants().collect(spark._jvm.java.util.stream.Collectors.toList()).toArray()
map_timestamps=map(lambda x : x.getTimestamp(),instants)
for a_ts in map_timestamps:
list_timestamps.append(a_ts)
```
the output would be like this:
`["20230410110310171", "20230410111802858", "20230410135802426",
"20230410233706724", "20230411070325158", "20230412075305123",
"20230412104308890", "20230412112440414", "20230412123348380",
"20230412123408573", "20230412123426951", "20230412143444989",
"20230412143503391", "20230413104721504", "20230413120831774",
"20230413122750909", "20230413153023354", "20230414045300420",
"20230414105813727", "20230414110336441", "20230414111346898",
"20230414142833034", "20230414145746900", "20230414145806366",
"20230418070525211", "20230418095219696", "20230419055721930",
"20230419065820905", "20230419100813940", "20230419111328181",
"20230419160833254", "20230420055335537", "20230420055920454",
"20230420061332289", "20230420080546225", "20230420080606133",
"20230420081457928", "20230420090733990", "20230420092736555",
"20230420093835449", "20230420135133130"]`
When we tried to read MoR table:
```
mor={
'hoodie.datasource.write.table.type': 'MERGE_ON_READ',
'hoodie.datasource.query.type':'incremental',
'hoodie.datasource.read.begin.instanttime':'20230331130832572',
'hoodie.datasource.read.end.instanttime':'20230410110310171'
}
try:
df=spark.read.format("org.apache.hudi").options(**mor).load(path_to_table)
return df
except Exception as e:
log.msg(e,"e")
return None
```
we got the following error
```
23/04/20 14:25:33 ERROR Executor: Exception in task 0.0 in stage 11.0 (TID
36)
java.io.FileNotFoundException: No such file or directory:
s3a://****/2df00b9b-9fae-45a4-8492-e11ef16740b3-0_0-298-497_20230410110310171.parquet
```
The writer configuration is -
```
writer_config = {"fs.s3a.impl""fs.s3a.impl"
'hoodie.datasource.write.operation': 'upsert',
'hoodie.datasource.write.precombine.field': 'cdc_timestamp',
'hoodie.datasource.write.table.type': 'MERGE_ON_READ',
'hoodie.cleaner.policy': 'KEEP_LATEST_COMMITS',
'hoodie.schema.on.read.enable' : "true",
'hoodie.datasource.write.reconcile.schema' : "true",
'hoodie.datasource.write.keygenerator.class':
'org.apache.hudi.keygen.NonpartitionedKeyGenerator',
'hoodie.table.name': table_name,
'hoodie.datasource.write.recordkey.field': 'id',
'hoodie.datasource.write.table.name': table_name,
'hoodie.upsert.shuffle.parallelism': 200,
'hoodie.keep.max.commits': 50,
'hoodie.keep.min.commits': 40,
'hoodie.cleaner.commits.retained': 30
}
```
Language - Python
Hudi Version - 0.13.0
Job Type - Python script on EC2
Table Type - Non Partitioned MOR
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