rangareddy commented on issue #14995:
URL: https://github.com/apache/hudi/issues/14995#issuecomment-3659615896
Hi, I have tested this with the latest master branch code; both bulk_insert
and upsert modes are working as expected.
```sh
export SPARK_VERSION=3.5
export HUDI_VERSION=1.1.0
export SCALA_VERSION=2.12
pyspark --master "local[2]" \
--packages
org.apache.hudi:hudi-spark$SPARK_VERSION-bundle_$SCALA_VERSION:$HUDI_VERSION \
--conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' \
--conf
'spark.sql.catalog.spark_catalog=org.apache.spark.sql.hudi.catalog.HoodieCatalog'
\
--conf
'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension' \
--conf 'spark.kryo.registrator=org.apache.spark.HoodieSparkKryoRegistrar'
```
**Bulk Insert with Row Writer Enabled:**
```python
table_name = 'hudi_timestamp_test'
target_path = f'/tmp/{table_name}/'
input_df = spark.createDataFrame(
[
("100", "Mo", "2015-01-01", "2015-01-01T13:51:39.345397Z"),
("101", "Rula", "2015-01-01", "2015-01-01T12:14:58.597216Z"),
("102", "Sari", "2015-01-01", "2015-01-01T13:51:40.417052Z"),
("103", "Jo", "2015-01-01", "2015-01-01T13:51:40.519832Z"),
("104", "Dani", "2015-01-02", "2015-01-01T12:15:00.512679Z"),
("105", "Abrar", "2015-01-02", "2015-01-01T13:51:42.248818Z"),
],
("id", "artist", "created", "updated"),
)
input_df.show(truncate=False)
input_df = input_df.withColumn('updated', f.to_timestamp(f.col('updated')))
input_df.show(truncate=False)
hudi_config = {
"hoodie.datasource.write.keygenerator.class":
"org.apache.hudi.keygen.ComplexKeyGenerator",
"hoodie.bulkinsert.shuffle.parallelism": 10,
"hoodie.upsert.shuffle.parallelism": 10,
"hoodie.datasource.write.operation": "bulk_insert",
"hoodie.datasource.write.row.writer.enable": "true",
"hoodie.datasource.write.recordkey.field": "id",
"hoodie.datasource.write.precombine.field": "updated",
"hoodie.datasource.write.partitionpath.field": "created",
"hoodie.datasource.write.hive_style_partitioning": "true",
"hoodie.table.name": table_name,
"hoodie.datasource.write.table.type": "COPY_ON_WRITE",
"hoodie.datasource.hive_sync.table": table_name,
"hoodie.datasource.hive_sync.enable": "true",
"hoodie.datasource.hive_sync.use_jdbc": "false",
"hoodie.datasource.hive_sync.mode": "hms",
"hoodie.datasource.hive_sync.support_timestamp": "true",
"hoodie.datasource.hive_sync.metastore.uris":
"thrift://hivemetastore:9083",
"hoodie.datasource.hive_sync.partition_fields": "created",
}
input_df.write.format('hudi').options(**hudi_config).mode('overwrite').save(target_path)
spark.read.format('hudi').load(target_path).select("_hoodie_commit_time",
"id", "updated").show(10, False)
+-------------------+---+--------------------------+
|_hoodie_commit_time|id |updated |
+-------------------+---+--------------------------+
|20251216071023609 |100|2015-01-01 13:51:39.345397|
|20251216071023609 |101|2015-01-01 12:14:58.597216|
|20251216071023609 |102|2015-01-01 13:51:40.417052|
|20251216071023609 |104|2015-01-01 12:15:00.512679|
|20251216071023609 |105|2015-01-01 13:51:42.248818|
|20251216071023609 |103|2015-01-01 13:51:40.519832|
+-------------------+---+--------------------------+
```
**Upsert:**
```python
table_name = 'hudi_upsert_timestamp_test'
target_path = f'/tmp/{table_name}/'
hudi_config = {
"hoodie.datasource.write.keygenerator.class":
"org.apache.hudi.keygen.ComplexKeyGenerator",
"hoodie.bulkinsert.shuffle.parallelism": 10,
"hoodie.upsert.shuffle.parallelism": 10,
"hoodie.datasource.write.operation": "upsert",
"hoodie.datasource.write.recordkey.field": "id",
"hoodie.datasource.write.precombine.field": "updated",
"hoodie.datasource.write.partitionpath.field": "created",
"hoodie.datasource.write.hive_style_partitioning": "true",
"hoodie.table.name": table_name,
"hoodie.datasource.write.table.type": "COPY_ON_WRITE",
"hoodie.datasource.hive_sync.table": table_name,
"hoodie.datasource.hive_sync.enable": "true",
"hoodie.datasource.hive_sync.use_jdbc": "false",
"hoodie.datasource.hive_sync.mode": "hms",
"hoodie.datasource.hive_sync.support_timestamp": "true",
"hoodie.datasource.hive_sync.metastore.uris":
"thrift://hivemetastore:9083",
"hoodie.datasource.hive_sync.partition_fields": "created",
}
input_df.write.format('hudi').options(**hudi_config).mode('overwrite').save(target_path)
spark.read.format('hudi').load(target_path).select("_hoodie_commit_time",
"id", "updated").show(10, False)
+-------------------+---+--------------------------+
|_hoodie_commit_time|id |updated |
+-------------------+---+--------------------------+
|20251216092512987 |100|2015-01-01 13:51:39.345397|
|20251216092512987 |101|2015-01-01 12:14:58.597216|
|20251216092512987 |102|2015-01-01 13:51:40.417052|
|20251216092512987 |103|2015-01-01 13:51:40.519832|
|20251216092512987 |104|2015-01-01 12:15:00.512679|
|20251216092512987 |105|2015-01-01 13:51:42.248818|
+-------------------+---+--------------------------+
```
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