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Parquet Test Run Report

DateJul 07, 2026 3:21
Duration58m 3s
Framework TestFlows 2.0.250110.1002922

Artifacts

Test artifacts can be found at https://altinity-build-artifacts.s3.amazonaws.com/index.html#REFs/stable-25.8/29f8caa8140cbb64698641b11d83c74c3c7299f2/regression/

Attributes

projectAltinity/ClickHouse
project.id159717931
user.namestrtgbb
version25.8.23.10001.altinitytest
packagehttps://altinity-build-artifacts.s3.amazonaws.com/REFs/stable-25.8/29f8caa8140cbb64698641b11d83c74c3c7299f2/build_arm_binary/clickhouse
repositoryhttps://github.com/Altinity/clickhouse-regression
commit.hash979bb27171f92724bcd8f086989ba623f2e03fdc
job.nameparquet
job.retry1
job.urlhttps://github.com/Altinity/ClickHouse/actions/runs/28837216389
archaarch64
localTrue
clickhouse_versionNone
clickhouse_pathhttps://altinity-build-artifacts.s3.amazonaws.com/REFs/stable-25.8/29f8caa8140cbb64698641b11d83c74c3c7299f2/build_arm_binary/clickhouse
as_binaryFalse
base_osNone
keeper_pathNone
zookeeper_versionNone
use_keeperFalse
stressFalse
collect_service_logsTrue
thread_fuzzerFalse
with_analyzerTrue
reuse_envFalse
cicdTrue
storagesNone
minio_uriSecret(name='minio_uri')
minio_root_userSecret(name='minio_root_user')
minio_root_passwordSecret(name='minio_root_password')
aws_s3_bucketNone
aws_s3_regionSecret(name='aws_s3_region')
aws_s3_key_idSecret(name='aws_s3_key_id')
aws_s3_access_keySecret(name='aws_s3_access_key')
gcs_uriNone
gcs_key_idNone
gcs_key_secretNone
azure_account_nameNone
azure_storage_keyNone
azure_containerNone
stress_bloomFalse

Summary

100%OK
<1%Known

Statistics

Units Skip OK Fail XFail
Modules
1
1
Suites
2
2
Features
39
2
36
1
Scenarios
223
18
200
5
Checks
59674
59674
Examples
12
12
Steps
379419
38
377216
28
2137

Known Fails

Test NameResultMessage
/parquet/postgresql/compression type/=NONE /postgresql engine to parquet file to postgresql engineXFail 4s 986ms
This fails because of the difference in snapshot values. We used to capture the datetime value `0` be converted as 2106-02-07 06:28:16 instead of the correct 1970-01-01 01:00:00. But when steps are repeated manually, we can not reproduce it
AssertionError
Traceback (most recent call last):
  File "/usr/lib/python3.12/threading.py", line 1030, in _bootstrap
    self._bootstrap_inner()
  File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.12/threading.py", line 1010, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.12/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py", line 834, in execute_query_step
    execute_query(
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py", line 904, in execute_query
    assert that(snapshot_result), error()
           ^^^^^^^^^^^^^^^^^^^^^
AssertionError: Oops! Assertion failed

The following assertion was not satisfied
  assert that(snapshot_result), error()

Assertion values
  assert that(snapshot_result), error()
         ^ is = SnapshotError(
    filename=/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/snapshots/common.py.postgresql engine to parquet file to postgresql engine.snapshot
    name=_parquet_postgresql_compression_type__NONE__postgresql_engine_to_parquet_file_to_postgresql_engine_I_check_the_data_on_the_table_array_string_
    snapshot_value="""

        {"array_string_":["abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRTUVWXYZ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["TTTTTTTTTTTTTTTTTTTTTTTTTTTTT"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII"],"toTypeName(array_string_)":"Array(String)"}
    """,
    actual_value="""

        {"array_string_":["abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRTUVWXYZ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["TTTTTTTTTTTTTTTTTTTTTTTTTTTTT"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII"],"toTypeName(array_string_)":"Array(String)"}
    """,
    diff="""
        --- /home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/snapshots/common.py.postgresql engine to parquet file to postgresql engine.snapshot
        +++ 
        @@ -1,7 +1,7 @@

         {"array_string_":["abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRTUVWXYZ"],"toTypeName(array_string_)":"Array(String)"}
        -{"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        -{"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        +{"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
        +{"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
         {"array_string_":["aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"],"toTypeName(array_string_)":"Array(String)"}
         {"array_string_":["TTTTTTTTTTTTTTTTTTTTTTTTTTTTT"],"toTypeName(array_string_)":"Array(String)"}
         {"array_string_":["ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss"],"toTypeName(array_string_)":"Array(String)"}
    """)
  assert that(snapshot_result), error()
  ^ is False

Where
  File '/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py', line 904 in 'execute_query'

896\|                  with values() as that:
897\|                      snapshot_result = snapshot(
898\|                          "\n" + r.output.strip() + "\n",
899\|                          id=snapshot_id,
900\|                          name=snapshot_name,
901\|                          encoder=str,
902\|                          mode=snapshot.CHECK,
903\|                      )
904\|>                     assert that(snapshot_result), error()
/parquet/postgresql/compression type/=GZIP /postgresql engine to parquet file to postgresql engineXFail 4s 954ms
This fails because of the difference in snapshot values. We used to capture the datetime value `0` be converted as 2106-02-07 06:28:16 instead of the correct 1970-01-01 01:00:00. But when steps are repeated manually, we can not reproduce it
AssertionError
Traceback (most recent call last):
  File "/usr/lib/python3.12/threading.py", line 1030, in _bootstrap
    self._bootstrap_inner()
  File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.12/threading.py", line 1010, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.12/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py", line 834, in execute_query_step
    execute_query(
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py", line 904, in execute_query
    assert that(snapshot_result), error()
           ^^^^^^^^^^^^^^^^^^^^^
AssertionError: Oops! Assertion failed

The following assertion was not satisfied
  assert that(snapshot_result), error()

Assertion values
  assert that(snapshot_result), error()
         ^ is = SnapshotError(
    filename=/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/snapshots/common.py.postgresql engine to parquet file to postgresql engine.snapshot
    name=_parquet_postgresql_compression_type__GZIP__postgresql_engine_to_parquet_file_to_postgresql_engine_I_check_the_data_on_the_table_array_string_
    snapshot_value="""

        {"array_string_":["abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRTUVWXYZ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["TTTTTTTTTTTTTTTTTTTTTTTTTTTTT"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII"],"toTypeName(array_string_)":"Array(String)"}
    """,
    actual_value="""

        {"array_string_":["abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRTUVWXYZ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["TTTTTTTTTTTTTTTTTTTTTTTTTTTTT"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["PPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["KKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKK"],"toTypeName(array_string_)":"Array(String)"}
        {"array_string_":["IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII"],"toTypeName(array_string_)":"Array(String)"}
    """,
    diff="""
        --- /home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/snapshots/common.py.postgresql engine to parquet file to postgresql engine.snapshot
        +++ 
        @@ -1,7 +1,7 @@

         {"array_string_":["abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRTUVWXYZ"],"toTypeName(array_string_)":"Array(String)"}
        -{"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        -{"array_string_":[""],"toTypeName(array_string_)":"Array(String)"}
        +{"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
        +{"array_string_":[],"toTypeName(array_string_)":"Array(String)"}
         {"array_string_":["aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"],"toTypeName(array_string_)":"Array(String)"}
         {"array_string_":["TTTTTTTTTTTTTTTTTTTTTTTTTTTTT"],"toTypeName(array_string_)":"Array(String)"}
         {"array_string_":["ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss"],"toTypeName(array_string_)":"Array(String)"}
    """)
  assert that(snapshot_result), error()
  ^ is False

Where
  File '/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py', line 904 in 'execute_query'

896\|                  with values() as that:
897\|                      snapshot_result = snapshot(
898\|                          "\n" + r.output.strip() + "\n",
899\|                          id=snapshot_id,
900\|                          name=snapshot_name,
901\|                          encoder=str,
902\|                          mode=snapshot.CHECK,
903\|                      )
904\|>                     assert that(snapshot_result), error()
/parquet/postgresql/compression type/=LZ4 /postgresql engine to parquet file to postgresql engineXFail 3s 925ms
This fails because of the difference in snapshot values. We used to capture the datetime value `0` be converted as 2106-02-07 06:28:16 instead of the correct 1970-01-01 01:00:00. But when steps are repeated manually, we can not reproduce it
AssertionError
Traceback (most recent call last):
  File "/usr/lib/python3.12/threading.py", line 1030, in _bootstrap
    self._bootstrap_inner()
  File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.12/threading.py", line 1010, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.12/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py", line 834, in execute_query_step
    execute_query(
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py", line 904, in execute_query
    assert that(snapshot_result), error()
           ^^^^^^^^^^^^^^^^^^^^^
AssertionError: Oops! Assertion failed

The following assertion was not satisfied
  assert that(snapshot_result), error()

Assertion values
  assert that(snapshot_result), error()
         ^ is = SnapshotError(
    filename=/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/snapshots/common.py.postgresql engine to parquet file to postgresql engine.snapshot
    name=_parquet_postgresql_compression_type__LZ4__postgresql_engine_to_parquet_file_to_postgresql_engine_I_check_the_data_on_the_table_datetime
    snapshot_value="""

        {"datetime":"2106-02-07 06:28:15","toTypeName(datetime)":"DateTime"}
        {"datetime":"2106-02-07 06:28:16","toTypeName(datetime)":"DateTime"}
        {"datetime":"1970-01-01 01:00:00","toTypeName(datetime)":"DateTime"}
        {"datetime":"2006-11-27 02:50:49","toTypeName(datetime)":"DateTime"}
        {"datetime":"2015-06-29 09:43:07","toTypeName(datetime)":"DateTime"}
        {"datetime":"2011-09-30 02:34:30","toTypeName(datetime)":"DateTime"}
        {"datetime":"2019-04-27 02:01:34","toTypeName(datetime)":"DateTime"}
        {"datetime":"2017-02-11 09:09:25","toTypeName(datetime)":"DateTime"}
        {"datetime":"2009-06-14 11:12:39","toTypeName(datetime)":"DateTime"}
        {"datetime":"2020-01-24 15:10:50","toTypeName(datetime)":"DateTime"}
    """,
    actual_value="""

        {"datetime":"2106-02-07 06:28:15","toTypeName(datetime)":"DateTime"}
        {"datetime":"1970-01-01 01:00:00","toTypeName(datetime)":"DateTime"}
        {"datetime":"1970-01-01 01:00:00","toTypeName(datetime)":"DateTime"}
        {"datetime":"2006-11-27 02:50:49","toTypeName(datetime)":"DateTime"}
        {"datetime":"2015-06-29 09:43:07","toTypeName(datetime)":"DateTime"}
        {"datetime":"2011-09-30 02:34:30","toTypeName(datetime)":"DateTime"}
        {"datetime":"2019-04-27 02:01:34","toTypeName(datetime)":"DateTime"}
        {"datetime":"2017-02-11 09:09:25","toTypeName(datetime)":"DateTime"}
        {"datetime":"2009-06-14 11:12:39","toTypeName(datetime)":"DateTime"}
        {"datetime":"2020-01-24 15:10:50","toTypeName(datetime)":"DateTime"}
    """,
    diff="""
        --- /home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/snapshots/common.py.postgresql engine to parquet file to postgresql engine.snapshot
        +++ 
        @@ -1,6 +1,6 @@

         {"datetime":"2106-02-07 06:28:15","toTypeName(datetime)":"DateTime"}
        -{"datetime":"2106-02-07 06:28:16","toTypeName(datetime)":"DateTime"}
        +{"datetime":"1970-01-01 01:00:00","toTypeName(datetime)":"DateTime"}
         {"datetime":"1970-01-01 01:00:00","toTypeName(datetime)":"DateTime"}
         {"datetime":"2006-11-27 02:50:49","toTypeName(datetime)":"DateTime"}
         {"datetime":"2015-06-29 09:43:07","toTypeName(datetime)":"DateTime"}
    """)
  assert that(snapshot_result), error()
  ^ is False

Where
  File '/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/common.py', line 904 in 'execute_query'

896\|                  with values() as that:
897\|                      snapshot_result = snapshot(
898\|                          "\n" + r.output.strip() + "\n",
899\|                          id=snapshot_id,
900\|                          name=snapshot_name,
901\|                          encoder=str,
902\|                          mode=snapshot.CHECK,
903\|                      )
904\|>                     assert that(snapshot_result), error()
/parquet/chunked arrayXFail 56s 699ms
Not supported
AssertionError
Traceback (most recent call last):
  File "/usr/lib/python3.12/threading.py", line 1030, in _bootstrap
    self._bootstrap_inner()
  File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.12/threading.py", line 1010, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.12/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/chunked_array.py", line 30, in feature
    node.query(
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../helpers/cluster.py", line 1163, in query
    assert False, error(r.output)
           ^^^^^
AssertionError: Oops! Assertion failed

The following assertion was not satisfied
  assert False, error(r.output)

Description
  Error on processing query: Code: 33. DB::Exception: Error while reading Parquet data: NotImplemented: Nested data conversions not implemented for chunked array outputs: (in file/uri /var/lib/clickhouse/user_files/chunked_array_test_file.parquet): While executing ParquetBlockInputFormat: While executing File: data for INSERT was parsed from file. (CANNOT_READ_ALL_DATA) (version 25.8.23.10001.altinitytest (altinity build))
(query: INSERT INTO table_722e8db5_79b9_11f1_a2f9_127f4420657d FROM INFILE '/var/lib/clickhouse/user_files/chunked_array_test_file.parquet' FORMAT Parquet
)

Assertion values
  assert False, error(r.output)
  ^ is False

Where
  File '/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../helpers/cluster.py', line 1163 in 'query'

1155\|                  assert message in r.output, error(r.output)
1156\|  
1157\|          if not ignore_exception:
1158\|              if message is None or "Exception:" not in message:
1159\|                  with Then("check if output has exception") if steps else NullStep():
1160\|                      if "Exception:" in r.output:
1161\|                          if raise_on_exception:
1162\|                              raise QueryRuntimeException(r.output)
1163\|>                         assert False, error(r.output)
1164\|  
1165\|          return r
1166\|
/parquet/datatypes/float16XFail 176ms
ClickHouse does not import FLOAT16 properly
AssertionError
Traceback (most recent call last):
  File "/usr/lib/python3.12/threading.py", line 1030, in _bootstrap
    self._bootstrap_inner()
  File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.12/threading.py", line 1010, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.12/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/datatypes.py", line 929, in feature
    scenario()
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/datatypes.py", line 113, in float16
    assert output == expected, error()
           ^^^^^^^^^^^^^^^^^^
AssertionError: Oops! Assertion failed

The following assertion was not satisfied
  assert output == expected, error()

Assertion values
  assert output == expected, error()
         ^ is '[-2,-1,0,1,2,3,4,5,6,7,8]'
  assert output == expected, error()
                   ^ is '[-2,-1,0,1,2,3,4,5,6,7,8,9]'
  assert output == expected, error()
                ^ is = False
    @@ -1 +1 @@
    -[-2,-1,0,1,2,3,4,5,6,7,8]
    +[-2,-1,0,1,2,3,4,5,6,7,8,9]
  assert output == expected, error()
  ^ is False

Where
  File '/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/datatypes.py', line 113 in 'float16'

105\|                  ORDER BY tuple() AS SELECT floatfield FROM file('{import_file}', Parquet)
106\|                  """
107\|              )
108\|  
109\|          with Then("I read the contents of the created table"):
110\|              output = node.query(
111\|                  f"SELECT groupArray(round(*)) FROM {table_name} FORMAT TSV"
112\|              ).output
113\|>             assert output == expected, error()
114\|  
115\|      finally:
116\|          with Finally("I drop the table"):
/parquet/datatypes/large string mapXFail 5s 527ms
Will fail until the, https://github.com/apache/arrow/pull/35825, gets merged.
AssertionError
Traceback (most recent call last):
  File "/usr/lib/python3.12/threading.py", line 1030, in _bootstrap
    self._bootstrap_inner()
  File "/usr/lib/python3.12/threading.py", line 1073, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.12/threading.py", line 1010, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python3.12/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/datatypes.py", line 929, in feature
    scenario()
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/datatypes.py", line 801, in large_string_map
    import_export(snapshot_name="large_string_map_structure", import_file=import_file)
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../parquet/tests/outline.py", line 37, in import_export
    node.query(
  File "/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../helpers/cluster.py", line 1163, in query
    assert False, error(r.output)
           ^^^^^
AssertionError: Oops! Assertion failed

The following assertion was not satisfied
  assert False, error(r.output)

Description
  Received exception from server (version 25.8.23):
Code: 33. DB::Exception: Received from localhost:9000. DB::Exception: Error while reading Parquet data: NotImplemented: Nested data conversions not implemented for chunked array outputs: (in file/uri /var/lib/clickhouse/user_files/arrow/large_string_map.brotli.parquet): While executing ParquetBlockInputFormat: While executing File. (CANNOT_READ_ALL_DATA)
(query: CREATE TABLE table_a861e17a_79b9_11f1_a986_127f4420657d
            ENGINE = MergeTree
            ORDER BY tuple() AS SELECT * FROM file('arrow/large_string_map.brotli.parquet', Parquet) LIMIT 100 FORMAT TabSeparated
            )

Assertion values
  assert False, error(r.output)
  ^ is False

Where
  File '/home/ubuntu/_work/ClickHouse/ClickHouse/parquet/../helpers/cluster.py', line 1163 in 'query'

1155\|                  assert message in r.output, error(r.output)
1156\|  
1157\|          if not ignore_exception:
1158\|              if message is None or "Exception:" not in message:
1159\|                  with Then("check if output has exception") if steps else NullStep():
1160\|                      if "Exception:" in r.output:
1161\|                          if raise_on_exception:
1162\|                              raise QueryRuntimeException(r.output)
1163\|>                         assert False, error(r.output)
1164\|  
1165\|          return r
1166\|

Results

Test Name Result Duration
/parquet OK 58m 3s
/parquet/file OK 9m 49s
/parquet/file/engine OK 9m 49s
/parquet/file/engine/insert into engine OK 5m 55s
/parquet/file/function OK 6m 15s
/parquet/file/engine/select from engine OK 2m 25s
/parquet/file/function/insert into function manual cast types OK 5m 48s
/parquet/file/function/insert into function auto cast types OK 6m 15s
/parquet/file/function/select from function manual cast types OK 3m 10s
/parquet/file/function/select from function auto cast types OK 2m 39s
/parquet/file/engine/insert into engine from file OK 5m 1s
/parquet/file/engine/engine select output to file OK 9m 49s
/parquet/file/engine/engine to file to engine OK 8m 12s
/parquet/file/function/date as uint16 OK 2s 602ms
/parquet/file/function/date as uint16 multiple dates OK 2s 589ms
/parquet/file/function/date as uint16 nullable OK 2s 209ms
/parquet/file/function/date as uint16 round trip OK 3s 732ms
/parquet/file/function/date as uint16 edge cases OK 1s 57ms
/parquet/file/function/date as uint16 with other columns OK 1s 597ms
/parquet/query OK 16m 37s
/parquet/query/compression type OK 16m 37s
/parquet/query/compression type/=NONE OK 16m 35s
/parquet/query/compression type/=NONE /insert into memory table from file OK 51s 496ms
/parquet/query/compression type/=GZIP OK 16m 37s
/parquet/query/compression type/=GZIP /insert into memory table from file OK 49s 921ms
/parquet/query/compression type/=LZ4 OK 16m 37s
/parquet/query/compression type/=LZ4 /insert into memory table from file OK 51s 213ms
/parquet/query/compression type/=GZIP /insert into mergetree table from file OK 49s 963ms
/parquet/query/compression type/=LZ4 /insert into mergetree table from file OK 49s 129ms
/parquet/query/compression type/=NONE /insert into mergetree table from file OK 49s 190ms
/parquet/query/compression type/=GZIP /insert into replicated mergetree table from file OK 50s 159ms
/parquet/query/compression type/=LZ4 /insert into replicated mergetree table from file OK 51s 462ms
/parquet/query/compression type/=NONE /insert into replicated mergetree table from file OK 50s 165ms
/parquet/query/compression type/=GZIP /insert into distributed table from file OK 1m 0s
/parquet/query/compression type/=NONE /insert into distributed table from file OK 1m 0s
/parquet/query/compression type/=LZ4 /insert into distributed table from file OK 1m 0s
/parquet/query/compression type/=GZIP /select from memory table into file OK 2m 26s
/parquet/query/compression type/=NONE /select from memory table into file OK 2m 25s
/parquet/query/compression type/=LZ4 /select from memory table into file OK 2m 24s
/parquet/query/compression type/=NONE /select from mergetree table into file OK 2m 25s
/parquet/query/compression type/=LZ4 /select from mergetree table into file OK 2m 24s
/parquet/query/compression type/=GZIP /select from mergetree table into file OK 2m 25s
/parquet/query/compression type/=LZ4 /select from replicated mergetree table into file OK 2m 21s
/parquet/query/compression type/=NONE /select from replicated mergetree table into file OK 2m 22s
/parquet/query/compression type/=GZIP /select from replicated mergetree table into file OK 2m 21s
/parquet/query/compression type/=LZ4 /select from distributed table into file OK 2m 46s
/parquet/query/compression type/=GZIP /select from distributed table into file OK 2m 46s
/parquet/query/compression type/=NONE /select from distributed table into file OK 2m 44s
/parquet/query/compression type/=LZ4 /select from mat view into file OK 2m 21s
/parquet/query/compression type/=NONE /select from mat view into file OK 2m 20s
/parquet/query/compression type/=GZIP /select from mat view into file OK 2m 20s
/parquet/query/compression type/=NONE /insert into table with projection from file OK 44s 819ms
/parquet/query/compression type/=LZ4 /insert into table with projection from file OK 45s 466ms
/parquet/query/compression type/=GZIP /insert into table with projection from file OK 45s 410ms
/parquet/list in multiple chunks OK 9s 138ms
/parquet/url OK 9m 48s
/parquet/url/engine OK 9m 16s
/parquet/url/engine/insert into engine OK 5m 13s
/parquet/url/function OK 5m 14s
/parquet/url/engine/select from engine OK 1m 27s
/parquet/url/function/insert into function OK 4m 24s
/parquet/url/engine/engine to file to engine OK 7m 34s
/parquet/url/function/select from function manual cast types OK 5m 14s
/parquet/url/engine/insert into engine from file OK 7m 25s
/parquet/url/engine/engine select output to file OK 9m 16s
/parquet/url/function/select from function auto cast types OK 4m 3s
/parquet/mysql OK 7s 132ms
/parquet/mysql/compression type OK 7s 131ms
/parquet/mysql/compression type/=NONE OK 7s 131ms
/parquet/mysql/compression type/=NONE /mysql engine to parquet file to mysql engine OK 4s 34ms
/parquet/mysql/compression type/=GZIP OK 7s 44ms
/parquet/mysql/compression type/=GZIP /mysql engine to parquet file to mysql engine OK 4s 3ms
/parquet/mysql/compression type/=LZ4 OK 7s 123ms
/parquet/mysql/compression type/=LZ4 /mysql engine to parquet file to mysql engine OK 4s 31ms
/parquet/mysql/compression type/=GZIP /mysql function to parquet file to mysql function OK 3s 40ms
/parquet/mysql/compression type/=NONE /mysql function to parquet file to mysql function OK 3s 96ms
/parquet/mysql/compression type/=LZ4 /mysql function to parquet file to mysql function OK 3s 91ms
/parquet/postgresql OK 7s 743ms
/parquet/postgresql/compression type OK 7s 742ms
/parquet/postgresql/compression type/=NONE OK 7s 741ms
/parquet/postgresql/compression type/=NONE /postgresql engine to parquet file to postgresql engine XFail 4s 986ms
/parquet/postgresql/compression type/=GZIP OK 7s 711ms
/parquet/postgresql/compression type/=GZIP /postgresql engine to parquet file to postgresql engine XFail 4s 954ms
/parquet/postgresql/compression type/=LZ4 OK 6s 876ms
/parquet/postgresql/compression type/=LZ4 /postgresql engine to parquet file to postgresql engine XFail 3s 925ms
/parquet/postgresql/compression type/=LZ4 /postgresql function to parquet file to postgresql function OK 2s 949ms
/parquet/postgresql/compression type/=GZIP /postgresql function to parquet file to postgresql function OK 2s 755ms
/parquet/postgresql/compression type/=NONE /postgresql function to parquet file to postgresql function OK 2s 754ms
/parquet/remote OK 3m 22s
/parquet/remote/compression type OK 3m 22s
/parquet/remote/compression type/=NONE OK 3m 20s
/parquet/remote/compression type/=NONE /outline OK 3m 20s
/parquet/remote/compression type/=NONE /outline/insert into function OK 59s 950ms
/parquet/remote/compression type/=GZIP OK 3m 21s
/parquet/remote/compression type/=GZIP /outline OK 3m 21s
/parquet/remote/compression type/=GZIP /outline/insert into function OK 59s 858ms
/parquet/remote/compression type/=LZ4 OK 3m 22s
/parquet/remote/compression type/=LZ4 /outline OK 3m 22s
/parquet/remote/compression type/=LZ4 /outline/insert into function OK 1m 0s
/parquet/remote/compression type/=GZIP /outline/select from function OK 2m 21s
/parquet/remote/compression type/=NONE /outline/select from function OK 2m 20s
/parquet/remote/compression type/=LZ4 /outline/select from function OK 2m 21s
/parquet/chunked array XFail 56s 699ms
/parquet/broken OK 13ms
/parquet/broken/file Skip 884us
/parquet/broken/read broken bigint Skip 592us
/parquet/broken/read broken date Skip 575us
/parquet/broken/read broken int Skip 782us
/parquet/broken/read broken smallint Skip 526us
/parquet/broken/read broken timestamp ms Skip 533us
/parquet/broken/read broken timestamp us Skip 516us
/parquet/broken/read broken tinyint Skip 712us
/parquet/broken/read broken ubigint Skip 528us
/parquet/broken/read broken uint Skip 523us
/parquet/broken/read broken usmallint Skip 532us
/parquet/broken/read broken utinyint Skip 3ms
/parquet/broken/string Skip 582us
/parquet/encoding OK 4s 713ms
/parquet/encoding/deltabytearray1 OK 991ms
/parquet/encoding/deltabytearray2 OK 619ms
/parquet/encoding/deltalengthbytearray OK 600ms
/parquet/encoding/dictionary OK 572ms
/parquet/encoding/plain OK 556ms
/parquet/encoding/plainrlesnappy OK 621ms
/parquet/encoding/rleboolean OK 750ms
/parquet/compression OK 12s 745ms
/parquet/compression/arrow snappy OK 608ms
/parquet/compression/brotli OK 604ms
/parquet/compression/gzippages OK 1s 222ms
/parquet/compression/largegzip OK 630ms
/parquet/compression/lz4 hadoop OK 600ms
/parquet/compression/lz4 hadoop large OK 601ms
/parquet/compression/lz4 non hadoop OK 609ms
/parquet/compression/lz4 raw OK 617ms
/parquet/compression/lz4 raw large OK 618ms
/parquet/compression/lz4pages OK 1s 214ms
/parquet/compression/nonepages OK 1s 219ms
/parquet/compression/snappypages OK 1s 210ms
/parquet/compression/snappyplain OK 560ms
/parquet/compression/snappyrle OK 606ms
/parquet/compression/zstd OK 604ms
/parquet/compression/zstdpages OK 1s 212ms
/parquet/datatypes OK 45s 691ms
/parquet/datatypes/arrowtimestamp OK 560ms
/parquet/datatypes/arrowtimestampms OK 563ms
/parquet/datatypes/binary OK 608ms
/parquet/datatypes/binary string OK 619ms
/parquet/datatypes/blob OK 618ms
/parquet/datatypes/boolean OK 618ms
/parquet/datatypes/byte array OK 610ms
/parquet/datatypes/columnname OK 622ms
/parquet/datatypes/columnwithnull OK 726ms
/parquet/datatypes/columnwithnull2 OK 618ms
/parquet/datatypes/date OK 605ms
/parquet/datatypes/decimal with filter OK 632ms
/parquet/datatypes/decimalvariousfilters OK 609ms
/parquet/datatypes/decimalwithfilter2 OK 609ms
/parquet/datatypes/enum OK 632ms
/parquet/datatypes/enum2 OK 611ms
/parquet/datatypes/fixed length decimal OK 619ms
/parquet/datatypes/fixed length decimal legacy OK 608ms
/parquet/datatypes/fixedstring OK 607ms
/parquet/datatypes/float16 XFail 176ms
/parquet/datatypes/h2oai OK 614ms
/parquet/datatypes/hive OK 1s 226ms
/parquet/datatypes/int32 OK 608ms
/parquet/datatypes/int32 decimal OK 611ms
/parquet/datatypes/int64 OK 598ms
/parquet/datatypes/int64 decimal OK 616ms
/parquet/datatypes/json OK 593ms
/parquet/datatypes/large string map XFail 5s 527ms
/parquet/datatypes/largedouble OK 690ms
/parquet/datatypes/manydatatypes OK 685ms
/parquet/datatypes/manydatatypes2 OK 624ms
/parquet/datatypes/maps OK 606ms
/parquet/datatypes/nameswithemoji OK 691ms
/parquet/datatypes/nandouble OK 607ms
/parquet/datatypes/negativeint64 OK 565ms
/parquet/datatypes/nullbyte OK 609ms
/parquet/datatypes/nullbytemultiple OK 609ms
/parquet/datatypes/nullsinid OK 614ms
/parquet/datatypes/pandasdecimal OK 610ms
/parquet/datatypes/pandasdecimaldate OK 602ms
/parquet/datatypes/parquetgo OK 600ms
/parquet/datatypes/selectdatewithfilter OK 3s 190ms
/parquet/datatypes/singlenull OK 611ms
/parquet/datatypes/sparkv21 OK 622ms
/parquet/datatypes/sparkv22 OK 624ms
/parquet/datatypes/statdecimal OK 611ms
/parquet/datatypes/string OK 603ms
/parquet/datatypes/string int list inconsistent offset multiple batches OK 4s 106ms
/parquet/datatypes/stringtypes OK 682ms
/parquet/datatypes/struct OK 605ms
/parquet/datatypes/supporteduuid OK 598ms
/parquet/datatypes/timestamp1 OK 572ms
/parquet/datatypes/timestamp2 OK 561ms
/parquet/datatypes/timezone OK 562ms
/parquet/datatypes/unsigned OK 1s 216ms
/parquet/datatypes/unsupportednull OK 111ms
/parquet/complex OK 12s 486ms
/parquet/complex/arraystring OK 613ms
/parquet/complex/big tuple with nulls OK 613ms
/parquet/complex/bytearraydictionary OK 631ms
/parquet/complex/complex null OK 627ms
/parquet/complex/lagemap OK 606ms
/parquet/complex/largenestedarray OK 632ms
/parquet/complex/largestruct OK 592ms
/parquet/complex/largestruct2 OK 754ms
/parquet/complex/largestruct3 OK 569ms
/parquet/complex/list OK 615ms
/parquet/complex/nested array OK 609ms
/parquet/complex/nested map OK 637ms
/parquet/complex/nestedallcomplex OK 676ms
/parquet/complex/nestedarray2 OK 605ms
/parquet/complex/nestedstruct OK 600ms
/parquet/complex/nestedstruct2 OK 624ms
/parquet/complex/nestedstruct3 OK 620ms
/parquet/complex/nestedstruct4 OK 685ms
/parquet/complex/tupleofnulls OK 612ms
/parquet/complex/tuplewithdatetime OK 553ms
/parquet/cache OK 1s 230ms
/parquet/cache/cache1 OK 613ms
/parquet/cache/cache2 OK 616ms
/parquet/glob OK 14s 571ms
/parquet/glob/fastparquet globs OK 469ms
/parquet/glob/glob1 OK 775ms
/parquet/glob/glob2 OK 870ms
/parquet/glob/glob with multiple elements OK 172ms
/parquet/glob/million extensions OK 12s 281ms
/parquet/rowgroups OK 1s 252ms
/parquet/rowgroups/manyrowgroups OK 631ms
/parquet/rowgroups/manyrowgroups2 OK 619ms
/parquet/encrypted Skip 727us
/parquet/fastparquet OK 4ms
/parquet/fastparquet/airlines Skip 627us
/parquet/fastparquet/baz Skip 762us
/parquet/fastparquet/empty date Skip 522us
/parquet/fastparquet/evo Skip 504us
/parquet/fastparquet/fastparquet Skip 487us
/parquet/read and write OK 7m 52s
/parquet/read and write/read and write parquet file OK 7m 52s
/parquet/column related errors OK 373ms
/parquet/column related errors/check error with 500 columns OK 372ms
/parquet/multi chunk upload Skip 764us

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