Files
impala/tests/query_test/test_paimon.py
jichen0919 826c8cf9b0 IMPALA-14081: Support create/drop paimon table for impala
This patch mainly implement the creation/drop of paimon table
through impala.

Supported impala data types:
- BOOLEAN
- TINYINT
- SMALLINT
- INTEGER
- BIGINT
- FLOAT
- DOUBLE
- STRING
- DECIMAL(P,S)
- TIMESTAMP
- CHAR(N)
- VARCHAR(N)
- BINARY
- DATE

Syntax for creating paimon table:

CREATE [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name
(
[col_name data_type ,...]
[PRIMARY KEY (col1,col2)]
)
[PARTITIONED BY (col_name data_type [COMMENT 'col_comment'], ...)]
STORED AS PAIMON
[LOCATION 'hdfs_path']
[TBLPROPERTIES (
'primary-key'='col1,col2',
'file.format' = 'orc/parquet',
'bucket' = '2',
'bucket-key' = 'col3',
];

Two types of paimon catalogs are supported.

(1) Create table with hive catalog:

CREATE TABLE paimon_hive_cat(userid INT,movieId INT)
STORED AS PAIMON;

(2) Create table with hadoop catalog:

CREATE [EXTERNAL] TABLE paimon_hadoop_cat
STORED AS PAIMON
TBLPROPERTIES('paimon.catalog'='hadoop',
'paimon.catalog_location'='/path/to/paimon_hadoop_catalog',
'paimon.table_identifier'='paimondb.paimontable');

SHOW TABLE STAT/SHOW COLUMN STAT/SHOW PARTITIONS/SHOW FILES
statements are also supported.

TODO:
    - Patches pending submission:
        - Query support for paimon data files.
        - Partition pruning and predicate push down.
        - Query support with time travel.
        - Query support for paimon meta tables.
    - WIP:
        - Complex type query support.
        - Virtual Column query support for querying
          paimon data table.
        - Native paimon table scanner, instead of
          jni based.
Testing:
    - Add unit test for paimon impala type conversion.
    - Add unit test for ToSqlTest.java.
    - Add unit test for AnalyzeDDLTest.java.
    - Update default_file_format TestEnumCase in
      be/src/service/query-options-test.cc.
    - Update test case in
      testdata/workloads/functional-query/queries/QueryTest/set.test.
    - Add test cases in metadata/test_show_create_table.py.
    - Add custom test test_paimon.py.

Change-Id: I57e77f28151e4a91353ef77050f9f0cd7d9d05ef
Reviewed-on: http://gerrit.cloudera.org:8080/22914
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Reviewed-by: Riza Suminto <riza.suminto@cloudera.com>
2025-09-10 21:24:49 +00:00

51 lines
2.0 KiB
Python

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from __future__ import absolute_import, division, print_function
from tests.common.impala_test_suite import ImpalaTestSuite
from tests.common.skip import SkipIf
@SkipIf.not_hdfs
class TestCreatingPaimonTable(ImpalaTestSuite):
@classmethod
def get_workload(cls):
return 'functional-query'
@classmethod
def add_test_dimensions(cls):
super(TestCreatingPaimonTable, cls).add_test_dimensions()
cls.ImpalaTestMatrix.add_constraint(
lambda v: v.get_value('table_format').file_format == 'parquet')
def test_paimon_ddl(self, vector, unique_database):
self.run_test_case('QueryTest/paimon-ddl', vector, unique_database)
def test_paimon_show_stats(self, vector, unique_database):
self.run_test_case('QueryTest/paimon-show-stats', vector, unique_database)
def test_paimon_show_file_stats(self):
tables = ["paimon_non_partitioned", "paimon_partitioned"]
for table in tables:
result = self.client.execute("show files in functional_parquet." + table)
assert len(result.data) == 5, "Expected 5 files"
def test_create_paimon_ddl_negative(self, vector, unique_database):
self.run_test_case('QueryTest/paimon-ddl-negative',
vector, unique_database)