danny0405 commented on code in PR #20493:
URL: https://github.com/apache/hudi/pull/20493#discussion_r4440089386


##########
hudi-integ-test/spark-pipelines/phase1_acceptance.py:
##########
@@ -0,0 +1,171 @@
+# 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.
+
+"""Run RFC-112 Phase 1 acceptance using the #20402 Spark CLI/Connect 
harness."""
+
+import argparse
+import json
+from pathlib import Path
+import signal
+import sys
+import tempfile
+
+
+SOURCE = '''from pyspark import pipelines as dp
+from pyspark.sql import SparkSession
+
+spark = SparkSession.active()
+
[email protected]_view(name="input_events")
+def input_events():
+    return spark.readStream.schema("id INT, ts LONG, value 
STRING").json(spark.conf.get("hudi.test.input"))
+'''
+
+# Only immutable identity belongs in the table properties. The operation is 
captured per flow.
+FLOWS = '''SET spark.hoodie.datasource.write.operation=insert;
+CREATE STREAMING TABLE insert_events USING hudi
+TBLPROPERTIES ('type'='cow', 'primaryKey'='id', 'preCombineField'='ts')
+AS SELECT id, ts, value FROM STREAM input_events;
+
+SET spark.hoodie.datasource.write.operation=upsert;
+CREATE STREAMING TABLE upsert_events USING hudi
+TBLPROPERTIES ('type'='cow', 'primaryKey'='id', 'preCombineField'='ts')

Review Comment:
   Addressed in a3f88472c2d. Added `--table-type cow|mor`; MOR enables async 
compaction with a one-delta-commit threshold and requires a completed 
compaction commit on the upsert table before checking the unchanged restart 
timeline. Ran MOR with metadata both disabled and enabled on Spark 4.1.1 / JDK 
17: both passed exact rows, deduplication, compaction, unchanged restart, and 
failure isolation.



##########
hudi-integ-test/spark-pipelines/phase1_acceptance.py:
##########
@@ -0,0 +1,171 @@
+# 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.
+
+"""Run RFC-112 Phase 1 acceptance using the #20402 Spark CLI/Connect 
harness."""
+
+import argparse
+import json
+from pathlib import Path
+import signal
+import sys
+import tempfile
+
+
+SOURCE = '''from pyspark import pipelines as dp
+from pyspark.sql import SparkSession
+
+spark = SparkSession.active()
+
[email protected]_view(name="input_events")
+def input_events():
+    return spark.readStream.schema("id INT, ts LONG, value 
STRING").json(spark.conf.get("hudi.test.input"))
+'''
+
+# Only immutable identity belongs in the table properties. The operation is 
captured per flow.
+FLOWS = '''SET spark.hoodie.datasource.write.operation=insert;
+CREATE STREAMING TABLE insert_events USING hudi
+TBLPROPERTIES ('type'='cow', 'primaryKey'='id', 'preCombineField'='ts')
+AS SELECT id, ts, value FROM STREAM input_events;
+
+SET spark.hoodie.datasource.write.operation=upsert;
+CREATE STREAMING TABLE upsert_events USING hudi
+TBLPROPERTIES ('type'='cow', 'primaryKey'='id', 'preCombineField'='ts')
+AS SELECT id, ts, value FROM STREAM input_events;
+'''
+
+
+def verify(mode, remote, root):
+    from pyspark.sql import SparkSession
+
+    spark = SparkSession.builder.remote(remote).getOrCreate()
+    try:
+        assert spark.conf.get("spark.hudi.test.run.id") == root.name
+        if mode == "healthy":
+            assert spark.range(3).count() == 3
+            print("PASS: Connect server accepts queries after the failing 
flow")
+            return
+        old = (1, 1, "old")
+        new = (1, 2, "new")
+        for table, expected in (
+            ("insert_events", [old, old] if mode == "first" else [old, old, 
new]),
+            ("upsert_events", [old] if mode == "first" else [new]),
+        ):
+            actual = [tuple(row) for row in spark.table(f"sdp_test.{table}")
+                      .select("id", "ts", "value").orderBy("ts").collect()]
+            assert actual == expected, (table, actual, expected)
+            properties = dict(spark.sql(f"SHOW TBLPROPERTIES 
sdp_test.{table}").collect())
+            assert not any("write.operation" in key for key in properties), 
properties
+        print(f"Verified {mode}: independent insert/upsert flows through SQL 
SET and Spark Connect")
+    finally:
+        spark.stop()
+
+
+def scenario(harness):
+    input_dir = harness.root / "input"
+    input_dir.mkdir()
+    (harness.root / "source.py").write_text(SOURCE)
+    (harness.root / "flows.sql").write_text(FLOWS)
+    spec = {
+        "name": "hudi_flow_settings",
+        "storage": (harness.root / "checkpoints").as_uri(),
+        "catalog": "spark_catalog",
+        "database": "sdp_test",
+        "libraries": [{"glob": {"include": "source.py"}}, {"glob": {"include": 
"flows.sql"}}],
+        "configuration": {
+            "hudi.test.input": input_dir.as_uri(),
+            "spark.sql.shuffle.partitions": "2",
+            "spark.sql.pipelines.maxFlowRetryAttempts": "0",
+            "spark.hoodie.metadata.enable": "false",

Review Comment:
   Addressed in a3f88472c2d. `ACCEPTANCE.md` now explicitly links #20491 as the 
caveat behind the metadata-disabled default, and `--metadata enabled` exercises 
the default metadata configuration. Ran all four COW/MOR × metadata 
disabled/enabled combinations successfully. These bounded enabled runs do not 
establish exhaustive metadata-writer lifecycle coverage or resolve #20491.



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