This is an automated email from the ASF dual-hosted git repository.

tarmstrong pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/impala.git

commit 1f7b413d11321bd74aaa1a9ea9ed30e42222d80d
Author: Tim Armstrong <tarmstr...@cloudera.com>
AuthorDate: Mon Feb 8 20:18:24 2021 -0800

    IMPALA-8721: re-enable test_hive_impala_interop
    
    The test now passes because HIVE-21290 was fixed.
    
    Revert "IMPALA-8689: test_hive_impala_interop failing with "Timeout >7200s""
    
    This reverts commit 5d8c99ce74c45a7d04f11e1f252b346d654f02bf.
    
    Change-Id: I7e2beabd7082a45a0fc3b60d318cf698079768ff
    Reviewed-on: http://gerrit.cloudera.org:8080/17042
    Reviewed-by: Impala Public Jenkins <impala-public-jenk...@cloudera.com>
    Tested-by: Impala Public Jenkins <impala-public-jenk...@cloudera.com>
---
 tests/custom_cluster/test_hive_parquet_codec_interop.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/tests/custom_cluster/test_hive_parquet_codec_interop.py 
b/tests/custom_cluster/test_hive_parquet_codec_interop.py
index e8dbefb..e1b43e2 100644
--- a/tests/custom_cluster/test_hive_parquet_codec_interop.py
+++ b/tests/custom_cluster/test_hive_parquet_codec_interop.py
@@ -58,11 +58,9 @@ class TestParquetInterop(CustomClusterTestSuite):
   def test_hive_impala_interop(self, vector, unique_database, 
cluster_properties):
     # Setup source table.
     source_table = "{0}.{1}".format(unique_database, "t1_source")
-    # TODO: Once IMPALA-8721 is fixed add coverage for TimeStamp data type.
     self.execute_query_expect_success(self.client,
-        "create table {0} as select id, bool_col, tinyint_col, smallint_col, 
int_col, "
-        "bigint_col, float_col, double_col, date_string_col, string_col, year, 
month "
-        "from functional_parquet.alltypes".format(source_table))
+        "create table {0} as select * from functional_parquet.alltypes"
+        .format(source_table))
     self.execute_query_expect_success(self.client,
         "insert into {0}(id) values (7777), (8888), (9999), (11111), (22222), 
(33333)"
         .format(source_table))

Reply via email to