jasondavindev opened a new issue #4501:
URL: https://github.com/apache/hudi/issues/4501
**Describe the problem you faced**
I've created a simple script to test insert and upsert operations. When I
run upsert operation for a given record but with different partition field
column value, hudi duplicates the record.
**To Reproduce**
My script
```python
df = spark.read.parquet(....)
partition_field = 'is_syncing'
database_name = 'hudi_sync'
hudi_table_path = *****
hudi_options = {
'hoodie.table.name': tableName,
'hoodie.datasource.write.recordkey.field': 'uuid',
'hoodie.datasource.write.partitionpath.field': partition_field,
'hoodie.datasource.write.table.name': tableName,
'hoodie.datasource.write.operation': 'bulk_insert',
'hoodie.datasource.write.precombine.field': 'updated_at',
'hoodie.upsert.shuffle.parallelism': 8,
'hoodie.insert.shuffle.parallelism': 8,
'hoodie.datasource.write.hive_style_partitioning': 'true',
'hoodie.datasource.hive_sync.partition_extractor_class':
'org.apache.hudi.hive.MultiPartKeysValueExtractor',
'hoodie.datasource.hive_sync.enable': 'true',
'hoodie.datasource.hive_sync.table': tableName,
'hoodie.datasource.hive_sync.mode': 'hms',
'hoodie.datasource.hive_sync.support_timestamp': 'true',
'hoodie.datasource.hive_sync.database': database_name,
'hoodie.datasource.hive_sync.partition_fields': partition_field,
'hoodie.datasource.write.table.type': 'COPY_ON_WRITE'
}
df.write.format("org.apache.hudi") \
.options(**hudi_options) \
.mode("overwrite") \
.save(hudi_table_path)
df = spark.table(f'{database_name}.{tableName}')
payment_type_cash = df \
.filter('payment_type = "cash"')
payment_type_cash \
.withColumn('is_syncing', lit('true')) \
.withColumn('hudi_etl_pipeline', lit('true')) \
.write \
.format("org.apache.hudi") \
.options(**hudi_options) \
.option('hoodie.datasource.write.operation', 'upsert') \
.mode("append") \
.save(hudi_table_path)
```
**Expected behavior**
Hudi should updates _hoodie_partition_path and is_syncing column, not create
a new record.
**Environment Description**
* Hudi version : 0.10.0
* Spark version : 3.1.2
* Hive version : AWS Glue Data Catalog
* Hadoop version :
* Storage (HDFS/S3/GCS..) : S3
* Running on Docker? (yes/no) : Yes, EMR on EKS. I overwritten hudi version
(0.8.0) of EMR 6.4.0 release to hudi 0.10.0.
Query on AWS Athena
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