[HUDI-4018][HUDI-4027] Adding integ test yamls for immutable use-cases. Added delete partition support to integ tests (#5501)

- Added pure immutable test yamls to integ test framework. Added SparkBulkInsertNode as part of it.
- Added delete_partition support to integ test framework using spark-datasource.
- Added a single yaml to test all non core write operations (insert overwrite, insert overwrite table and delete partitions)
- Added tests for 4 concurrent spark datasource writers (multi-writer tests).
- Fixed readme w/ sample commands for multi-writer.

docker/demo/config/test-suite/deltastreamer-immutable-dataset.yaml

@@ -0,0 +1,53 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: deltastreamer-immutable-dataset.yaml
+dag_rounds: 5
+dag_intermittent_delay_mins: 0
+dag_content:
+  first_bulk_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 3
+      num_records_insert: 5000
+    type: BulkInsertNode
+    deps: none
+  first_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_bulk_insert
+  first_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 3
+      num_records_insert: 5000
+    type: InsertNode
+    deps: first_validate
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_insert
+  last_validate:
+    config:
+      execute_itr_count: 5
+      delete_input_data: true
+    type: ValidateAsyncOperations
+    deps: second_validate

docker/demo/config/test-suite/deltastreamer-pure-bulk-inserts.yaml

@@ -0,0 +1,38 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: deltastreamer-pure-bulk-inserts.yaml
+dag_rounds: 10
+dag_intermittent_delay_mins: 0
+dag_content:
+  first_bulk_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 3
+      num_records_insert: 5000
+    type: BulkInsertNode
+    deps: none
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_bulk_insert
+  last_validate:
+    config:
+      execute_itr_count: 10
+    type: ValidateAsyncOperations
+    deps: second_validate

docker/demo/config/test-suite/deltastreamer-pure-inserts.yaml

@@ -0,0 +1,38 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: deltastreamer-pure-inserts.yaml
+dag_rounds: 10
+dag_intermittent_delay_mins: 0
+dag_content:
+  first_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 3
+      num_records_insert: 5000
+    type: InsertNode
+    deps: none
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_insert
+  last_validate:
+    config:
+      execute_itr_count: 10
+    type: ValidateAsyncOperations
+    deps: second_validate

docker/demo/config/test-suite/insert-overwrite.yaml

@@ -17,7 +17,6 @@ dag_name: simple-deltastreamer.yaml
 dag_rounds: 1
 dag_intermittent_delay_mins: 1
 dag_content:
-
   first_insert:
     config:
       record_size: 1000
@@ -91,4 +90,4 @@ dag_content:
       validate_hive: false
       delete_input_data: false
     type: ValidateDatasetNode
-    deps: third_upsert
+    deps: third_upsert

docker/demo/config/test-suite/multi-writer-1-ds.yaml

@@ -14,7 +14,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 dag_name: simple-deltastreamer.yaml
-dag_rounds: 3
+dag_rounds: 6
 dag_intermittent_delay_mins: 0
 dag_content:
   first_insert:

docker/demo/config/test-suite/multi-writer-1-sds.yaml

@@ -0,0 +1,52 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: cow-spark-simple.yaml
+dag_rounds: 6
+dag_intermittent_delay_mins: 0
+dag_content:
+  first_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 1
+      repeat_count: 1
+      num_records_insert: 100000
+      start_partition: 1
+    type: SparkInsertNode
+    deps: none
+  first_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 1
+      num_records_insert: 50000
+      repeat_count: 1
+      num_records_upsert: 50000
+      num_partitions_upsert: 1
+      start_partition: 1
+    type: SparkUpsertNode
+    deps: first_insert
+  first_delete:
+    config:
+      num_partitions_delete: 0
+      num_records_delete: 10000
+      start_partition: 1
+    type: SparkDeleteNode
+    deps: first_upsert
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: true
+    type: ValidateDatasetNode
+    deps: first_delete

docker/demo/config/test-suite/multi-writer-2-sds.yaml

@@ -14,8 +14,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 dag_name: cow-spark-simple.yaml
-dag_rounds: 3
+dag_rounds: 5
-dag_intermittent_delay_mins: 0
+dag_intermittent_delay_mins: 1
 dag_content:
   first_insert:
     config:

docker/demo/config/test-suite/multi-writer-3-sds.yaml

@@ -0,0 +1,52 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: cow-spark-simple.yaml
+dag_rounds: 4
+dag_intermittent_delay_mins: 1
+dag_content:
+  first_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 1
+      repeat_count: 1
+      num_records_insert: 100000
+      start_partition: 20
+    type: SparkInsertNode
+    deps: none
+  first_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 1
+      num_records_insert: 50000
+      repeat_count: 1
+      num_records_upsert: 50000
+      num_partitions_upsert: 1
+      start_partition: 20
+    type: SparkUpsertNode
+    deps: first_insert
+  first_delete:
+    config:
+      num_partitions_delete: 0
+      num_records_delete: 10000
+      start_partition: 20
+    type: SparkDeleteNode
+    deps: first_upsert
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: true
+    type: ValidateDatasetNode
+    deps: first_delete

docker/demo/config/test-suite/multi-writer-4-sds.yaml

@@ -0,0 +1,52 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: cow-spark-simple.yaml
+dag_rounds: 4
+dag_intermittent_delay_mins: 1
+dag_content:
+  first_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 1
+      repeat_count: 1
+      num_records_insert: 100000
+      start_partition: 30
+    type: SparkInsertNode
+    deps: none
+  first_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 1
+      num_records_insert: 50000
+      repeat_count: 1
+      num_records_upsert: 50000
+      num_partitions_upsert: 1
+      start_partition: 30
+    type: SparkUpsertNode
+    deps: first_insert
+  first_delete:
+    config:
+      num_partitions_delete: 0
+      num_records_delete: 10000
+      start_partition: 30
+    type: SparkDeleteNode
+    deps: first_upsert
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: true
+    type: ValidateDatasetNode
+    deps: first_delete

docker/demo/config/test-suite/multi-writer-local-3.properties

@@ -0,0 +1,57 @@
+
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+
+hoodie.insert.shuffle.parallelism=2
+hoodie.upsert.shuffle.parallelism=2
+hoodie.bulkinsert.shuffle.parallelism=2
+hoodie.delete.shuffle.parallelism=2
+
+hoodie.metadata.enable=false
+
+hoodie.deltastreamer.source.test.num_partitions=100
+hoodie.deltastreamer.source.test.datagen.use_rocksdb_for_storing_existing_keys=false
+hoodie.deltastreamer.source.test.max_unique_records=100000000
+hoodie.embed.timeline.server=false
+hoodie.deltastreamer.source.input.selector=org.apache.hudi.integ.testsuite.helpers.DFSTestSuitePathSelector
+
+hoodie.deltastreamer.source.input.selector=org.apache.hudi.integ.testsuite.helpers.DFSTestSuitePathSelector
+hoodie.datasource.hive_sync.skip_ro_suffix=true
+
+hoodie.datasource.write.recordkey.field=_row_key
+hoodie.datasource.write.keygenerator.class=org.apache.hudi.keygen.TimestampBasedKeyGenerator
+hoodie.datasource.write.partitionpath.field=timestamp
+
+hoodie.write.concurrency.mode=optimistic_concurrency_control
+hoodie.cleaner.policy.failed.writes=LAZY
+hoodie.write.lock.provider=org.apache.hudi.client.transaction.lock.InProcessLockProvider
+
+hoodie.deltastreamer.source.dfs.root=/tmp/hudi/input3
+hoodie.deltastreamer.schemaprovider.target.schema.file=file:/tmp/source.avsc
+hoodie.deltastreamer.schemaprovider.source.schema.file=file:/tmp/source.avsc
+hoodie.deltastreamer.keygen.timebased.timestamp.type=UNIX_TIMESTAMP
+hoodie.deltastreamer.keygen.timebased.output.dateformat=yyyy/MM/dd
+
+hoodie.datasource.hive_sync.jdbcurl=jdbc:hive2://hiveserver:10000/
+hoodie.datasource.hive_sync.database=testdb
+hoodie.datasource.hive_sync.table=table1
+hoodie.datasource.hive_sync.assume_date_partitioning=false
+hoodie.datasource.hive_sync.partition_fields=_hoodie_partition_path
+hoodie.datasource.hive_sync.partition_extractor_class=org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor
+

docker/demo/config/test-suite/multi-writer-local-4.properties

@@ -0,0 +1,57 @@
+
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+#
+
+hoodie.insert.shuffle.parallelism=2
+hoodie.upsert.shuffle.parallelism=2
+hoodie.bulkinsert.shuffle.parallelism=2
+hoodie.delete.shuffle.parallelism=2
+
+hoodie.metadata.enable=false
+
+hoodie.deltastreamer.source.test.num_partitions=100
+hoodie.deltastreamer.source.test.datagen.use_rocksdb_for_storing_existing_keys=false
+hoodie.deltastreamer.source.test.max_unique_records=100000000
+hoodie.embed.timeline.server=false
+hoodie.deltastreamer.source.input.selector=org.apache.hudi.integ.testsuite.helpers.DFSTestSuitePathSelector
+
+hoodie.deltastreamer.source.input.selector=org.apache.hudi.integ.testsuite.helpers.DFSTestSuitePathSelector
+hoodie.datasource.hive_sync.skip_ro_suffix=true
+
+hoodie.datasource.write.recordkey.field=_row_key
+hoodie.datasource.write.keygenerator.class=org.apache.hudi.keygen.TimestampBasedKeyGenerator
+hoodie.datasource.write.partitionpath.field=timestamp
+
+hoodie.write.concurrency.mode=optimistic_concurrency_control
+hoodie.cleaner.policy.failed.writes=LAZY
+hoodie.write.lock.provider=org.apache.hudi.client.transaction.lock.InProcessLockProvider
+
+hoodie.deltastreamer.source.dfs.root=/tmp/hudi/input4
+hoodie.deltastreamer.schemaprovider.target.schema.file=file:/tmp/source.avsc
+hoodie.deltastreamer.schemaprovider.source.schema.file=file:/tmp/source.avsc
+hoodie.deltastreamer.keygen.timebased.timestamp.type=UNIX_TIMESTAMP
+hoodie.deltastreamer.keygen.timebased.output.dateformat=yyyy/MM/dd
+
+hoodie.datasource.hive_sync.jdbcurl=jdbc:hive2://hiveserver:10000/
+hoodie.datasource.hive_sync.database=testdb
+hoodie.datasource.hive_sync.table=table1
+hoodie.datasource.hive_sync.assume_date_partitioning=false
+hoodie.datasource.hive_sync.partition_fields=_hoodie_partition_path
+hoodie.datasource.hive_sync.partition_extractor_class=org.apache.hudi.hive.SlashEncodedDayPartitionValueExtractor
+

docker/demo/config/test-suite/spark-delete-partition.yaml

@@ -0,0 +1,57 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: spark-delete-partition.yaml
+dag_rounds: 1
+dag_intermittent_delay_mins: 1
+dag_content:
+  first_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 5
+      repeat_count: 1
+      num_records_insert: 10
+    type: SparkInsertNode
+    deps: none
+  first_delete_partition:
+    config:
+      partitions_to_delete: "1970/01/01"
+    type: SparkDeletePartitionNode
+    deps: first_insert
+  second_validate:
+    config:
+      validate_full_data : true
+      input_partitions_to_skip_validate : "0"
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_delete_partition
+  second_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 5
+      repeat_count: 1
+      num_records_insert: 10
+      start_partition: 2
+    type: SparkInsertNode
+    deps: second_validate
+  third_validate:
+    config:
+      validate_full_data : true
+      input_partitions_to_skip_validate : "0"
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: second_insert

docker/demo/config/test-suite/spark-immutable-dataset.yaml

@@ -0,0 +1,53 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: spark-immutable-dataset.yaml
+dag_rounds: 5
+dag_intermittent_delay_mins: 0
+dag_content:
+  first_bulk_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 5
+      num_records_insert: 5000
+    type: SparkBulkInsertNode
+    deps: none
+  first_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_bulk_insert
+  first_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 5
+      num_records_insert: 5000
+    type: SparkInsertNode
+    deps: first_validate
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_insert
+  last_validate:
+    config:
+      execute_itr_count: 5
+      delete_input_data: true
+    type: ValidateAsyncOperations
+    deps: second_validate

docker/demo/config/test-suite/spark-non-core-operations.yaml

@@ -0,0 +1,204 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: spark-non-core-operations.yaml
+dag_rounds: 1
+dag_intermittent_delay_mins: 1
+dag_content:
+  first_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10000
+    type: SparkInsertNode
+    deps: none
+  first_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      num_records_insert: 1000
+      repeat_count: 1
+      num_records_upsert: 8000
+      num_partitions_upsert: 10
+    type: SparkUpsertNode
+    deps: first_insert
+  second_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10000
+    type: SparkInsertNode
+    deps: first_upsert
+  second_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      num_records_insert: 1000
+      repeat_count: 1
+      num_records_upsert: 8000
+      num_partitions_upsert: 10
+    type: SparkUpsertNode
+    deps: second_insert
+  first_insert_overwrite:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10
+    type: SparkInsertOverwriteNode
+    deps: second_upsert
+  delete_all_input_except_last:
+    config:
+      delete_input_data_except_latest: true
+    type: DeleteInputDatasetNode
+    deps: first_insert_overwrite
+  third_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10000
+    type: SparkInsertNode
+    deps: delete_all_input_except_last
+  third_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      num_records_insert: 1000
+      repeat_count: 1
+      num_records_upsert: 8000
+      num_partitions_upsert: 10
+    type: SparkUpsertNode
+    deps: third_insert
+  second_validate:
+    config:
+      validate_full_data : true
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: third_upsert
+  fourth_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10000
+    type: SparkInsertNode
+    deps: second_validate
+  fourth_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      num_records_insert: 1000
+      repeat_count: 1
+      num_records_upsert: 8000
+      num_partitions_upsert: 10
+    type: SparkUpsertNode
+    deps: fourth_insert
+  fifth_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10000
+    type: SparkInsertNode
+    deps: fourth_upsert
+  fifth_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      num_records_insert: 1000
+      repeat_count: 1
+      num_records_upsert: 8000
+      num_partitions_upsert: 10
+    type: SparkUpsertNode
+    deps: fifth_insert
+  first_insert_overwrite_table:
+    config:
+      record_size: 1000
+      repeat_count: 1
+      num_records_insert: 10
+    type: SparkInsertOverwriteTableNode
+    deps: fifth_upsert
+  second_delete_all_input_except_last:
+    config:
+      delete_input_data_except_latest: true
+    type: DeleteInputDatasetNode
+    deps: first_insert_overwrite_table
+  sixth_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      repeat_count: 1
+      num_records_insert: 10000
+    type: SparkInsertNode
+    deps: second_delete_all_input_except_last
+  sixth_upsert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 10
+      num_records_insert: 1000
+      repeat_count: 1
+      num_records_upsert: 8000
+      num_partitions_upsert: 10
+    type: SparkUpsertNode
+    deps: sixth_insert
+  third_validate:
+    config:
+      validate_full_data : true
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: sixth_upsert
+  seventh_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 5
+      repeat_count: 1
+      num_records_insert: 10
+    type: SparkInsertNode
+    deps: third_validate
+  first_delete_partition:
+    config:
+      partitions_to_delete: "1970/01/01"
+    type: SparkDeletePartitionNode
+    deps: seventh_insert
+  fourth_validate:
+    config:
+      validate_full_data : true
+      input_partitions_to_skip_validate : "0"
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_delete_partition
+  eigth_insert:
+    config:
+      record_size: 1000
+      num_partitions_insert: 5
+      repeat_count: 1
+      num_records_insert: 10
+      start_partition: 2
+    type: SparkInsertNode
+    deps: fourth_validate
+  fifth_validate:
+    config:
+      validate_full_data : true
+      input_partitions_to_skip_validate : "0"
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: eigth_insert

docker/demo/config/test-suite/spark-pure-bulk-inserts.yaml

@@ -0,0 +1,38 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: spark-pure-bulk-inserts.yaml
+dag_rounds: 5
+dag_intermittent_delay_mins: 0
+dag_content:
+  first_bulk_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 4
+      num_records_insert: 5000
+    type: SparkBulkInsertNode
+    deps: none
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_bulk_insert
+  last_validate:
+    config:
+      execute_itr_count: 5
+    type: ValidateAsyncOperations
+    deps: second_validate

docker/demo/config/test-suite/spark-pure-inserts.yaml

@@ -0,0 +1,38 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+dag_name: spark-pure-inserts.yaml
+dag_rounds: 5
+dag_intermittent_delay_mins: 1
+dag_content:
+  first_insert:
+    config:
+      record_size: 200
+      num_partitions_insert: 10
+      repeat_count: 3
+      num_records_insert: 5000
+    type: SparkInsertNode
+    deps: none
+  second_validate:
+    config:
+      validate_hive: false
+      delete_input_data: false
+    type: ValidateDatasetNode
+    deps: first_insert
+  last_validate:
+    config:
+      execute_itr_count: 10
+    type: ValidateAsyncOperations
+    deps: second_validate

hudi-integ-test/README.md

@@ -522,6 +522,78 @@ Spark submit with the flag:
 --saferSchemaEvolution
 ```
 
+### Multi-writer tests
+Integ test framework also supports multi-writer tests. 
+
+#### Multi-writer tests with deltastreamer and a spark data source writer. 
+
+Sample spark-submit command to test one delta streamer and a spark data source writer. 
+```shell
+./bin/spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 \
+--conf spark.task.cpus=3 --conf spark.executor.cores=3  \
+--conf spark.task.maxFailures=100 --conf spark.memory.fraction=0.4 \  
+--conf spark.rdd.compress=true  --conf spark.kryoserializer.buffer.max=2000m \ 
+--conf spark.serializer=org.apache.spark.serializer.KryoSerializer \
+--conf spark.memory.storageFraction=0.1 --conf spark.shuffle.service.enabled=true \  
+--conf spark.sql.hive.convertMetastoreParquet=false  --conf spark.driver.maxResultSize=12g \ 
+--conf spark.executor.heartbeatInterval=120s --conf spark.network.timeout=600s \
+--conf spark.yarn.max.executor.failures=10 \
+--conf spark.sql.catalogImplementation=hive \
+--class org.apache.hudi.integ.testsuite.HoodieMultiWriterTestSuiteJob \ 
+<HUDI_REPO_DIR>/packaging/hudi-integ-test-bundle/target/hudi-integ-test-bundle-0.12.0-SNAPSHOT.jar \ 
+--source-ordering-field test_suite_source_ordering_field \
+--use-deltastreamer \
+--target-base-path /tmp/hudi/output \ 
+--input-base-paths "/tmp/hudi/input1,/tmp/hudi/input2" \ 
+--target-table table1 \
+--props-paths "file:<HUDI_REPO_DIR>/docker/demo/config/test-suite/multi-writer-local-1.properties,file:<HUDI_REPO_DIR>/hudi/docker/demo/config/test-suite/multi-writer-local-2.properties" \ 
+--schemaprovider-class org.apache.hudi.integ.testsuite.schema.TestSuiteFileBasedSchemaProvider \
+--source-class org.apache.hudi.utilities.sources.AvroDFSSource \
+--input-file-size 125829120 \
+--workload-yaml-paths "file:<HUDI_REPO_DIR>/docker/demo/config/test-suite/multi-writer-1-ds.yaml,file:<HUDI_REPO_DIR>/docker/demo/config/test-suite/multi-writer-2-sds.yaml" \ 
+--workload-generator-classname org.apache.hudi.integ.testsuite.dag.WorkflowDagGenerator \
+--table-type COPY_ON_WRITE \
+--compact-scheduling-minshare 1 \ 
+--input-base-path "dummyValue" \
+--workload-yaml-path "dummyValue" \ 
+--props "dummyValue" \
+--use-hudi-data-to-generate-updates 
+```
+
+#### Multi-writer tests with 4 concurrent spark data source writer. 
+
+```shell
+./bin/spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 \
+--conf spark.task.cpus=3 --conf spark.executor.cores=3 \
+--conf spark.task.maxFailures=100 --conf spark.memory.fraction=0.4 \  
+--conf spark.rdd.compress=true  --conf spark.kryoserializer.buffer.max=2000m \
+--conf spark.serializer=org.apache.spark.serializer.KryoSerializer \
+--conf spark.memory.storageFraction=0.1 --conf spark.shuffle.service.enabled=true  \
+--conf spark.sql.hive.convertMetastoreParquet=false  --conf spark.driver.maxResultSize=12g \
+--conf spark.executor.heartbeatInterval=120s --conf spark.network.timeout=600s \
+--conf spark.yarn.max.executor.failures=10 --conf spark.sql.catalogImplementation=hive \
+--class org.apache.hudi.integ.testsuite.HoodieMultiWriterTestSuiteJob \
+<BUNDLE_LOCATION>/hudi-integ-test-bundle-0.12.0-SNAPSHOT.jar \
+--source-ordering-field test_suite_source_ordering_field \
+--use-deltastreamer \
+--target-base-path /tmp/hudi/output \
+--input-base-paths "/tmp/hudi/input1,/tmp/hudi/input2,/tmp/hudi/input3,/tmp/hudi/input4" \
+--target-table table1 \
+--props-paths "file:<PROPS_LOCATION>/multi-writer-local-1.properties,file:<PROPS_LOCATION>/multi-writer-local-2.properties,file:<PROPS_LOCATION>/multi-writer-local-3.properties,file:<PROPS_LOCATION>/multi-writer-local-4.properties" 
+--schemaprovider-class org.apache.hudi.integ.testsuite.schema.TestSuiteFileBasedSchemaProvider \
+--source-class org.apache.hudi.utilities.sources.AvroDFSSource \
+--input-file-size 125829120 \
+--workload-yaml-paths "file:<PROPS_LOCATION>/multi-writer-1-sds.yaml,file:<PROPS_LOCATION>/multi-writer-2-sds.yaml,file:<PROPS_LOCATION>/multi-writer-3-sds.yaml,file:<PROPS_LOCATION>/multi-writer-4-sds.yaml" \
+--workload-generator-classname org.apache.hudi.integ.testsuite.dag.WorkflowDagGenerator \
+--table-type COPY_ON_WRITE \
+--compact-scheduling-minshare 1 \
+--input-base-path "dummyValue" \
+--workload-yaml-path "dummyValue" \
+--props "dummyValue" \
+--use-hudi-data-to-generate-updates
+```
+
+
 ## Automated tests for N no of yamls in Local Docker environment
 
 Hudi provides a script to assist you in testing N no of yamls automatically. Checkout the script under 

hudi-integ-test/src/main/java/org/apache/hudi/integ/testsuite/HoodieMultiWriterTestSuiteJob.java

@@ -30,6 +30,7 @@ import org.apache.spark.sql.SparkSession;
 
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Random;
 import java.util.concurrent.CompletableFuture;
 import java.util.concurrent.ExecutorService;
 import java.util.concurrent.Executors;
@@ -116,6 +117,7 @@ public class HoodieMultiWriterTestSuiteJob {
     }
 
     ExecutorService executor = Executors.newFixedThreadPool(inputPaths.length);
+    Random random = new Random();
 
     List<HoodieTestSuiteJob.HoodieTestSuiteConfig> testSuiteConfigList = new ArrayList<>();
     int jobIndex = 0;
@@ -131,11 +133,20 @@ public class HoodieMultiWriterTestSuiteJob {
 
     AtomicBoolean jobFailed = new AtomicBoolean(false);
     AtomicInteger counter = new AtomicInteger(0);
+    List<Long> waitTimes = new ArrayList<>();
+    for (int i = 0;i < jobIndex ;i++) {
+      if (i == 0) {
+        waitTimes.add(0L);
+      } else {
+        // every job after 1st, will start after 1 min + some delta.
+        waitTimes.add(60000L + random.nextInt(10000));
+      }
+    }
     List<CompletableFuture<Boolean>> completableFutureList = new ArrayList<>();
     testSuiteConfigList.forEach(hoodieTestSuiteConfig -> {
       try {
         // start each job at 20 seconds interval so that metaClient instantiation does not overstep
-        Thread.sleep(counter.get() * 20000);
+        Thread.sleep(waitTimes.get(counter.get()));
         LOG.info("Starting job " + hoodieTestSuiteConfig.toString());
       } catch (InterruptedException e) {
         e.printStackTrace();

hudi-integ-test/src/main/java/org/apache/hudi/integ/testsuite/configuration/DeltaConfig.java

@@ -101,6 +101,8 @@ public class DeltaConfig implements Serializable {
     private static String ENABLE_METADATA_VALIDATE = "enable_metadata_validate";
     private static String VALIDATE_FULL_DATA = "validate_full_data";
     private static String DELETE_INPUT_DATA_EXCEPT_LATEST = "delete_input_data_except_latest";
+    private static String PARTITIONS_TO_DELETE = "partitions_to_delete";
+    private static String INPUT_PARTITIONS_TO_SKIP_VALIDATE = "input_partitions_to_skip_validate";
 
     // Spark SQL Create Table
     private static String TABLE_TYPE = "table_type";
@@ -203,6 +205,10 @@ public class DeltaConfig implements Serializable {
       return Boolean.valueOf(configsMap.getOrDefault(DISABLE_INGEST, false).toString());
     }
 
+    public String getPartitionsToDelete() {
+      return configsMap.getOrDefault(PARTITIONS_TO_DELETE, "").toString();
+    }
+
     public boolean getReinitContext() {
       return Boolean.valueOf(configsMap.getOrDefault(REINIT_CONTEXT, false).toString());
     }
@@ -223,6 +229,10 @@ public class DeltaConfig implements Serializable {
       return Integer.valueOf(configsMap.getOrDefault(VALIDATE_ONCE_EVERY_ITR, 1).toString());
     }
 
+    public String inputPartitonsToSkipWithValidate() {
+      return configsMap.getOrDefault(INPUT_PARTITIONS_TO_SKIP_VALIDATE, "").toString();
+    }
+
     public boolean isValidateFullData() {
       return Boolean.valueOf(configsMap.getOrDefault(VALIDATE_FULL_DATA, false).toString());
     }

hudi-integ-test/src/main/java/org/apache/hudi/integ/testsuite/dag/nodes/BaseValidateDatasetNode.java

@@ -163,8 +163,13 @@ public abstract class BaseValidateDatasetNode extends DagNode<Boolean> {
     // todo: fix hard coded fields from configs.
     // read input and resolve insert, updates, etc.
     Dataset<Row> inputDf = session.read().format("avro").load(inputPath);
+    Dataset<Row> trimmedDf = inputDf;
+    if (!config.inputPartitonsToSkipWithValidate().isEmpty()) {
+      trimmedDf = inputDf.filter("instr("+partitionPathField+", \'"+ config.inputPartitonsToSkipWithValidate() +"\') != 1");
+    }
+
     ExpressionEncoder encoder = getEncoder(inputDf.schema());
-    return inputDf.groupByKey(
+    return trimmedDf.groupByKey(
             (MapFunction<Row, String>) value ->
                 (partitionPathField.isEmpty() ? value.getAs(recordKeyField) : (value.getAs(partitionPathField) + "+" + value.getAs(recordKeyField))), Encoders.STRING())
         .reduceGroups((ReduceFunction<Row>) (v1, v2) -> {

hudi-integ-test/src/main/java/org/apache/hudi/integ/testsuite/generator/DeltaGenerator.java

@@ -123,7 +123,7 @@ public class DeltaGenerator implements Serializable {
     int startPartition = operation.getStartPartition();
 
     // Each spark partition below will generate records for a single partition given by the integer index.
-    List<Integer> partitionIndexes = IntStream.rangeClosed(0 + startPartition, numPartitions + startPartition)
+    List<Integer> partitionIndexes = IntStream.rangeClosed(0 + startPartition, numPartitions + startPartition - 1)
         .boxed().collect(Collectors.toList());
 
     JavaRDD<GenericRecord> inputBatch = jsc.parallelize(partitionIndexes, numPartitions)

hudi-integ-test/src/main/java/org/apache/hudi/integ/testsuite/generator/GenericRecordFullPayloadGenerator.java

@@ -338,7 +338,7 @@ public class GenericRecordFullPayloadGenerator implements Serializable {
    */
   @VisibleForTesting
   public GenericRecord updateTimestamp(GenericRecord record, String fieldName) {
-    long delta = TimeUnit.SECONDS.convert((++partitionIndex % numDatePartitions) + startPartition, TimeUnit.DAYS);
+    long delta = TimeUnit.SECONDS.convert((partitionIndex++ % numDatePartitions) + startPartition, TimeUnit.DAYS);
     record.put(fieldName, delta);
     return record;
   }

hudi-integ-test/src/main/scala/org/apache/hudi/integ/testsuite/dag/nodes/SparkBulkInsertNode.scala

@@ -19,49 +19,18 @@
 package org.apache.hudi.integ.testsuite.dag.nodes
 
 import org.apache.hudi.client.WriteStatus
-import org.apache.hudi.config.HoodieWriteConfig
 import org.apache.hudi.integ.testsuite.configuration.DeltaConfig.Config
-import org.apache.hudi.integ.testsuite.dag.ExecutionContext
+import org.apache.hudi.DataSourceWriteOptions
-import org.apache.hudi.{AvroConversionUtils, DataSourceWriteOptions}
 import org.apache.spark.rdd.RDD
-import org.apache.spark.sql.SaveMode
-
-import scala.collection.JavaConverters._
 
 /**
  * Spark datasource based bulk insert node
  *
  * @param dagNodeConfig DAG node configurations.
  */
-class SparkBulkInsertNode(dagNodeConfig: Config) extends DagNode[RDD[WriteStatus]] {
+class SparkBulkInsertNode(dagNodeConfig: Config) extends SparkInsertNode(dagNodeConfig) {
 
-  config = dagNodeConfig
+  override def getOperation(): String = {
-
+    DataSourceWriteOptions.BULK_INSERT_OPERATION_OPT_VAL
-  /**
-   * Execute the {@link DagNode}.
-   *
-   * @param context     The context needed for an execution of a node.
-   * @param curItrCount iteration count for executing the node.
-   * @throws Exception Thrown if the execution failed.
-   */
-  override def execute(context: ExecutionContext, curItrCount: Int): Unit = {
-    if (!config.isDisableGenerate) {
-      context.getDeltaGenerator().writeRecords(context.getDeltaGenerator().generateInserts(config)).getValue().count()
-    }
-    val inputDF = AvroConversionUtils.createDataFrame(context.getWriterContext.getHoodieTestSuiteWriter.getNextBatch,
-      context.getWriterContext.getHoodieTestSuiteWriter.getSchema,
-      context.getWriterContext.getSparkSession)
-    val saveMode = if(curItrCount == 0) SaveMode.Overwrite else SaveMode.Append
-    inputDF.write.format("hudi")
-      .options(DataSourceWriteOptions.translateSqlOptions(context.getWriterContext.getProps.asScala.toMap))
-      .option(DataSourceWriteOptions.TABLE_NAME.key(), context.getHoodieTestSuiteWriter.getCfg.targetTableName)
-      .option(DataSourceWriteOptions.TABLE_TYPE.key(), context.getHoodieTestSuiteWriter.getCfg.tableType)
-      .option(DataSourceWriteOptions.OPERATION.key(), DataSourceWriteOptions.BULK_INSERT_OPERATION_OPT_VAL)
-      .option(DataSourceWriteOptions.ENABLE_ROW_WRITER.key(), String.valueOf(config.enableRowWriting()))
-      .option(DataSourceWriteOptions.COMMIT_METADATA_KEYPREFIX.key(), "deltastreamer.checkpoint.key")
-      .option("deltastreamer.checkpoint.key", context.getWriterContext.getHoodieTestSuiteWriter.getLastCheckpoint.orElse(""))
-      .option(HoodieWriteConfig.TBL_NAME.key(), context.getHoodieTestSuiteWriter.getCfg.targetTableName)
-      .mode(saveMode)
-      .save(context.getHoodieTestSuiteWriter.getWriteConfig.getBasePath)
   }
 }

hudi-integ-test/src/main/scala/org/apache/hudi/integ/testsuite/dag/nodes/SparkDeletePartitionNode.scala

@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.hudi.integ.testsuite.dag.nodes
+
+
+import org.apache.avro.Schema
+import org.apache.hudi.client.WriteStatus
+import org.apache.hudi.common.util.collection.Pair
+import org.apache.hudi.config.HoodieWriteConfig
+import org.apache.hudi.integ.testsuite.configuration.DeltaConfig.Config
+import org.apache.hudi.integ.testsuite.dag.ExecutionContext
+import org.apache.hudi.integ.testsuite.schema.SchemaUtils
+import org.apache.hudi.integ.testsuite.writer.DeltaWriteStats
+import org.apache.hudi.{AvroConversionUtils, DataSourceWriteOptions, HoodieSparkUtils}
+import org.apache.log4j.LogManager
+import org.apache.spark.api.java.JavaRDD
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.SaveMode
+
+import scala.collection.JavaConverters._
+
+/**
+ * Spark datasource based insert node
+ *
+ * @param dagNodeConfig DAG node configurations.
+ */
+class SparkDeletePartitionNode(dagNodeConfig: Config) extends DagNode[RDD[WriteStatus]] {
+
+  private val log = LogManager.getLogger(getClass)
+  config = dagNodeConfig
+
+  /**
+   * Execute the {@link DagNode}.
+   *
+   * @param context     The context needed for an execution of a node.
+   * @param curItrCount iteration count for executing the node.
+   * @throws Exception Thrown if the execution failed.
+   */
+  override def execute(context: ExecutionContext, curItrCount: Int): Unit = {
+    println("Generating input data for node {}", this.getName)
+
+    context.getWriterContext.getSparkSession.emptyDataFrame.write.format("hudi")
+      .options(DataSourceWriteOptions.translateSqlOptions(context.getWriterContext.getProps.asScala.toMap))
+      .option(DataSourceWriteOptions.PRECOMBINE_FIELD.key(), SchemaUtils.SOURCE_ORDERING_FIELD)
+      .option(DataSourceWriteOptions.TABLE_NAME.key, context.getHoodieTestSuiteWriter.getCfg.targetTableName)
+      .option(DataSourceWriteOptions.TABLE_TYPE.key, context.getHoodieTestSuiteWriter.getCfg.tableType)
+      .option(DataSourceWriteOptions.OPERATION.key, DataSourceWriteOptions.DELETE_PARTITION_OPERATION_OPT_VAL)
+      .option(HoodieWriteConfig.TBL_NAME.key, context.getHoodieTestSuiteWriter.getCfg.targetTableName)
+      .option(DataSourceWriteOptions.PARTITIONS_TO_DELETE.key, config.getPartitionsToDelete)
+      .mode(SaveMode.Append)
+      .save(context.getHoodieTestSuiteWriter.getWriteConfig.getBasePath)
+  }
+}

hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieSparkSqlWriter.scala

@@ -212,7 +212,6 @@ object HoodieSparkSqlWriter {
             (writeStatuses, client)
           }
           case WriteOperationType.DELETE_PARTITION => {
-            val genericRecords = registerKryoClassesAndGetGenericRecords(tblName, sparkContext, df, reconcileSchema)
             if (!tableExists) {
               throw new HoodieException(s"hoodie table at $basePath does not exist")
             }
@@ -222,6 +221,7 @@ object HoodieSparkSqlWriter {
               val partitionColsToDelete = parameters(DataSourceWriteOptions.PARTITIONS_TO_DELETE.key()).split(",")
               java.util.Arrays.asList(partitionColsToDelete: _*)
             } else {
+              val genericRecords = registerKryoClassesAndGetGenericRecords(tblName, sparkContext, df, reconcileSchema)
               genericRecords.map(gr => keyGenerator.getKey(gr).getPartitionPath).toJavaRDD().distinct().collect()
             }
             // Create a HoodieWriteClient & issue the delete.

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/TestHoodieSparkSqlWriter.scala

@@ -20,7 +20,6 @@ package org.apache.hudi
 import java.io.IOException
 import java.time.Instant
 import java.util.{Collections, Date, UUID}
-
 import org.apache.commons.io.FileUtils
 import org.apache.hudi.DataSourceWriteOptions._
 import org.apache.hudi.client.SparkRDDWriteClient