Re: [I] Support bucket index for spark bulk_insert [hudi]

["rangareddy (via GitHub)" <gi...@apache.org>]

rangareddy commented on issue #15736:
URL: https://github.com/apache/hudi/issues/15736#issuecomment-3653258419

   I created a sample code to test this scenario. The data insertion was successful, but querying the table returned empty results.
   
   ```python
   table_name = "orders_bucket_bulk"
   base_path = f"file:///tmp/{table_name}"
   
   # Define the data schema
   data = [
       (1, "user-1", 100.0, "2024-01-01"),
       (2, "user-2", 200.0, "2024-01-01"),
       (3, "user-3", 300.0, "2024-01-02")
   ]
   columns = ["order_id", "customer_id", "amount", "order_date"]
   
   df = spark.createDataFrame(data, columns)
   df.printSchema()
   df.show()
   
   hudi_options = {
       "hoodie.table.name": table_name,
       "hoodie.datasource.write.table.name": table_name,
       "hoodie.datasource.write.recordkey.field": "order_id",
       "hoodie.datasource.write.partitionpath.field": "order_date",
       "hoodie.table.type": "MERGE_ON_READ",
       # Use bulk_insert operation
       "hoodie.datasource.write.operation": "bulk_insert",
       # Bucket index configuration
       "hoodie.index.type": "BUCKET",
       "hoodie.bucket.index.engine": "SIMPLE",
       "hoodie.bucket.index.hash.field": "order_id",
       "hoodie.bucket.index.num.buckets": "8"
   }
   
   df.write.format("hudi").options(**hudi_options).mode("overwrite").save(base_path)
   
   result_df = spark.read.format("hudi").load(base_path)
   result_df.show(truncate=False)
   
   +-------------------+--------------------+------------------+----------------------+-----------------+--------+-----------+------+----------+
   |_hoodie_commit_time|_hoodie_commit_seqno|_hoodie_record_key|_hoodie_partition_path|_hoodie_file_name|order_id|customer_id|amount|order_date|
   +-------------------+--------------------+------------------+----------------------+-----------------+--------+-----------+------+----------+
   +-------------------+--------------------+------------------+----------------------+-----------------+--------+-----------+------+----------+
   ```


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