Quanlong Huang created IMPALA-10451:
---------------------------------------

             Summary: TestAvroSchemaResolution.test_avro_schema_resolution 
fails when bumping Hive to have HIVE-24157
                 Key: IMPALA-10451
                 URL: https://issues.apache.org/jira/browse/IMPALA-10451
             Project: IMPALA
          Issue Type: Bug
            Reporter: Quanlong Huang
            Assignee: Quanlong Huang


TestAvroSchemaResolution.test_avro_schema_resolution recently fails when 
building against a Hive version with HIVE-24157.
{code:java}
query_test.test_avro_schema_resolution.TestAvroSchemaResolution.test_avro_schema_resolution[protocol:
 beeswax | exec_option: \{'batch_size': 0, 'num_nodes': 0, 
'disable_codegen_rows_threshold': 0, 'disable_codegen': False, 
'abort_on_error': 1, 'exec_single_node_rows_threshold': 0} | table_format: 
avro/snap/block] (from pytest)

query_test/test_avro_schema_resolution.py:36: in test_avro_schema_resolution
 self.run_test_case('QueryTest/avro-schema-resolution', vector, unique_database)
common/impala_test_suite.py:690: in run_test_case
 self.__verify_results_and_errors(vector, test_section, result, use_db)
common/impala_test_suite.py:523: in __verify_results_and_errors
 replace_filenames_with_placeholder)
common/test_result_verifier.py:456: in verify_raw_results
 VERIFIER_MAP[verifier](expected, actual)
common/test_result_verifier.py:278: in verify_query_result_is_equal
 assert expected_results == actual_results
E assert Comparing QueryTestResults (expected vs actual):
E 10 != 0 
{code}

The failed query is
{code:sql}
select count(*) from functional_avro_snap.avro_coldef {code}

The cause is that data loading for avro_coldef failed. The DML is
{code:sql}
INSERT OVERWRITE TABLE avro_coldef PARTITION(year=2014, month=1)
SELECT bool_col, tinyint_col, smallint_col, int_col, bigint_col,
float_col, double_col, date_string_col, string_col, timestamp_col
FROM (select * from functional.alltypes order by id limit 5) a;
{code}
The failure (found in HS2) is:
{code}
2021-01-24T01:52:16,340 ERROR [9433ee64-d706-4fa4-a146-18d71bf17013 
HiveServer2-Handler-Pool: Thread-4946] parse.CalcitePlanner: CBO failed, 
skipping CBO.
org.apache.hadoop.hive.ql.exec.UDFArgumentException: Casting DATE/TIMESTAMP 
types to NUMERIC is prohibited (hive.strict.timestamp.conversion)
 at 
org.apache.hadoop.hive.ql.udf.TimestampCastRestrictorResolver.getEvalMethod(TimestampCastRestrictorResolver.java:62)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.udf.generic.GenericUDFBridge.initialize(GenericUDFBridge.java:168)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.udf.generic.GenericUDF.initializeAndFoldConstants(GenericUDF.java:149)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc.newInstance(ExprNodeGenericFuncDesc.java:260)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc.newInstance(ExprNodeGenericFuncDesc.java:292)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.TypeCheckProcFactory$DefaultExprProcessor.getFuncExprNodeDescWithUdfData(TypeCheckProcFactory.java:987)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.ParseUtils.createConversionCast(ParseUtils.java:163)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genConversionSelectOperator(SemanticAnalyzer.java:8551)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genFileSinkPlan(SemanticAnalyzer.java:7908)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genPostGroupByBodyPlan(SemanticAnalyzer.java:11100)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genBodyPlan(SemanticAnalyzer.java:10972)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genPlan(SemanticAnalyzer.java:11901)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.genPlan(SemanticAnalyzer.java:11771)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.CalcitePlanner.genOPTree(CalcitePlanner.java:593)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:12678)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.CalcitePlanner.analyzeInternal(CalcitePlanner.java:423)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:288)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hadoop.hive.ql.Compiler.analyze(Compiler.java:221) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hadoop.hive.ql.Compiler.compile(Compiler.java:104) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:194) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:607) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hadoop.hive.ql.Driver.compileAndRespond(Driver.java:553) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hadoop.hive.ql.Driver.compileAndRespond(Driver.java:547) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hadoop.hive.ql.reexec.ReExecDriver.compileAndRespond(ReExecDriver.java:127)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.cli.operation.SQLOperation.prepare(SQLOperation.java:199)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.cli.operation.SQLOperation.runInternal(SQLOperation.java:260)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.hive.service.cli.operation.Operation.run(Operation.java:274) 
~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.cli.session.HiveSessionImpl.executeStatementInternal(HiveSessionImpl.java:565)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.cli.session.HiveSessionImpl.executeStatementAsync(HiveSessionImpl.java:551)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.cli.CLIService.executeStatementAsync(CLIService.java:315)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.cli.thrift.ThriftCLIService.ExecuteStatement(ThriftCLIService.java:567)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.rpc.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1557)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.rpc.thrift.TCLIService$Processor$ExecuteStatement.getResult(TCLIService.java:1542)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39) 
~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.hive.service.auth.TSetIpAddressProcessor.process(TSetIpAddressProcessor.java:56)
 ~[hive-service-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:286)
 ~[hive-exec-3.1.3000.7.1.6.0-169.jar:3.1.3000.7.1.6.0-169]
 at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) 
~[?:1.8.0_144]
 at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) 
~[?:1.8.0_144]
 at java.lang.Thread.run(Thread.java:748) [?:1.8.0_144]
{code}

This check is introduced in HIVE-24157. Describe on the table shows the 
timestamp_col is bigint:

{code:sql}
0: jdbc:hive2://localhost:11050> desc avro_coldef;
INFO  : Compiling 
command(queryId=systest_20210125012100_83dadafd-8e20-4a45-8dd2-54d3a6f4b6e2): 
desc avro_coldef
INFO  : Semantic Analysis Completed (retrial = false)
INFO  : Created Hive schema: Schema(fieldSchemas:[FieldSchema(name:col_name, 
type:string, comment:from deserializer), FieldSchema(name:data_type, 
type:string, comment:from deserializer), FieldSchema(name:comment, type:string, 
comment:from deserializer)], properties:null)
INFO  : Completed compiling 
command(queryId=systest_20210125012100_83dadafd-8e20-4a45-8dd2-54d3a6f4b6e2); 
Time taken: 0.016 seconds
INFO  : Executing 
command(queryId=systest_20210125012100_83dadafd-8e20-4a45-8dd2-54d3a6f4b6e2): 
desc avro_coldef
INFO  : Starting task [Stage-0:DDL] in serial mode
INFO  : Completed executing 
command(queryId=systest_20210125012100_83dadafd-8e20-4a45-8dd2-54d3a6f4b6e2); 
Time taken: 0.008 seconds
INFO  : OK
+--------------------------+------------+----------+
|         col_name         | data_type  | comment  |
+--------------------------+------------+----------+
| bool_col                 | boolean    |          |
| tinyint_col              | int        |          |
| smallint_col             | int        |          |
| int_col                  | int        |          |
| bigint_col               | bigint     |          |
| float_col                | float      |          |
| double_col               | double     |          |
| date_string_col          | string     |          |
| string_col               | string     |          |
| timestamp_col            | bigint     |          |
| year                     | int        |          |
| month                    | int        |          |
|                          | NULL       | NULL     |
| # Partition Information  | NULL       | NULL     |
| # col_name               | data_type  | comment  |
| year                     | int        |          |
| month                    | int        |          |
+--------------------------+------------+----------+{code}

This hits the restriction.



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