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52362d4079
We need to skip queries that select from tables wiht nested types is running with the old aggs and joins. To achieve this, move the failing test to a separate test and use the skip decorator. Change-Id: Iaf1351c711b524be66a99084657926909425cbff Reviewed-on: http://gerrit.cloudera.org:8080/2272 Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com> Tested-by: Internal Jenkins
204 lines
6.7 KiB
Plaintext
204 lines
6.7 KiB
Plaintext
====
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---- QUERY
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drop table if exists ddl_test_db.temp_legacy_table
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---- RESULTS
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====
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---- QUERY
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create table ddl_test_db.temp_legacy_table like parquet
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'$FILESYSTEM_PREFIX/test-warehouse/schemas/legacy_nested.parquet'
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---- RESULTS
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====
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---- QUERY
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describe ddl_test_db.temp_legacy_table
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---- RESULTS
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't_long','bigint','Inferred from Parquet file.'
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't_struct','struct<\n f_int:int,\n t_struct:struct<\n f_int:int,\n f_int2:int\n >,\n int_arr:array<int>,\n int_map:map<string,int>\n>','Inferred from Parquet file.'
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't_array_basic','array<int>','Inferred from Parquet file.'
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't_array_struct','array<struct<\n f_int1:int,\n f_int2:int,\n f_int3:int\n>>','Inferred from Parquet file.'
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't_array_array','array<array<int>>','Inferred from Parquet file.'
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't_array_map','array<map<string,int>>','Inferred from Parquet file.'
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'map_int','map<string,int>','Inferred from Parquet file.'
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'map_struct','map<string,struct<\n f_int:int,\n f_int2:int\n>>','Inferred from Parquet file.'
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'map_array','map<string,array<int>>','Inferred from Parquet file.'
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'map_map','map<string,map<string,int>>','Inferred from Parquet file.'
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---- TYPES
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STRING, STRING, STRING
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====
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---- QUERY
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drop table if exists ddl_test_db.temp_legacy_table
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---- RESULTS
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====
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---- QUERY
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drop table if exists ddl_test_db.temp_modern_table
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---- RESULTS
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====
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---- QUERY
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create table ddl_test_db.temp_modern_table like parquet
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'$FILESYSTEM_PREFIX/test-warehouse/schemas/modern_nested.parquet'
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---- RESULTS
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====
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---- QUERY
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describe ddl_test_db.temp_modern_table
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---- RESULTS
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't_long','bigint','Inferred from Parquet file.'
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't_struct','struct<\n f_int:int,\n t_struct:struct<\n f_int:int,\n f_int2:int\n >,\n int_arr:array<int>,\n int_map:map<string,int>\n>','Inferred from Parquet file.'
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't_array_basic','array<int>','Inferred from Parquet file.'
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't_array_struct','array<struct<\n f_int1:int,\n f_int2:int,\n f_int3:int\n>>','Inferred from Parquet file.'
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't_array_array','array<array<int>>','Inferred from Parquet file.'
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't_array_map','array<map<string,int>>','Inferred from Parquet file.'
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'map_int','map<string,int>','Inferred from Parquet file.'
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'map_struct','map<string,struct<\n f_int:int,\n f_int2:int\n>>','Inferred from Parquet file.'
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'map_array','map<string,array<int>>','Inferred from Parquet file.'
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'map_map','map<string,map<string,int>>','Inferred from Parquet file.'
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---- TYPES
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STRING, STRING, STRING
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====
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---- QUERY
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drop table if exists ddl_test_db.temp_modern_table
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---- RESULTS
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====
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---- QUERY
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drop table if exists allcomplextypes_clone
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---- RESULTS
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====
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---- QUERY
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create table allcomplextypes_clone like functional.allcomplextypes
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stored as parquet
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---- RESULTS
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====
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---- QUERY
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describe allcomplextypes_clone
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---- RESULTS
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'id','int',''
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'int_array_col','array<int>',''
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'array_array_col','array<array<int>>',''
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'map_array_col','array<map<string,int>>',''
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'struct_array_col','array<struct<\n f1:bigint,\n f2:string\n>>',''
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'int_map_col','map<string,int>',''
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'array_map_col','map<string,array<int>>',''
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'map_map_col','map<string,map<string,int>>',''
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'struct_map_col','map<string,struct<\n f1:bigint,\n f2:string\n>>',''
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'int_struct_col','struct<\n f1:int,\n f2:int\n>',''
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'complex_struct_col','struct<\n f1:int,\n f2:array<int>,\n f3:map<string,int>\n>',''
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'nested_struct_col','struct<\n f1:int,\n f2:struct<\n f11:bigint,\n f12:struct<\n f21:bigint\n >\n >\n>',''
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'complex_nested_struct_col','struct<\n f1:int,\n f2:array<struct<\n f11:bigint,\n f12:map<string,struct<\n f21:bigint\n >>\n >>\n>',''
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'year','int',''
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'month','int',''
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---- TYPES
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STRING, STRING, STRING
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====
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---- QUERY
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drop table allcomplextypes_clone
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---- RESULTS
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====
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---- QUERY
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# IMPALA-2820: Test keywords as struct-field names. All field names below are
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# Impala keywords, but only some of them are quoted to show that a mix of
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# quoted/unquoted identifiers is possible.
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create table ddl_test_db.struct_keywords (
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s struct<table:int,`comment`:string,`select`:decimal(8,2)>,
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a array<struct<`replace`:boolean,`location`:varchar(10)>>,
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m map<string,struct<`fields`:int,from:timestamp>>
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)
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partitioned by (year int, month int);
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describe ddl_test_db.struct_keywords;
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---- RESULTS
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's','struct<\n table:int,\n comment:string,\n select:decimal(8,2)\n>',''
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'a','array<struct<\n replace:boolean,\n location:varchar(10)\n>>',''
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'm','map<string,struct<\n fields:int,\n from:timestamp\n>>',''
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'year','int',''
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'month','int',''
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---- TYPES
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STRING, STRING, STRING
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====
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---- QUERY
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# Test creating a partitioned Avro table without an Avro schema.
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# The Avro schema is inferred from the column definitions.
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create table no_avro_schema (
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c1 tinyint,
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c2 smallint comment 'becomes int',
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c3 int,
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c4 bigint,
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c5 float,
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c6 double,
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c7 timestamp comment 'becomes string',
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c8 string,
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c9 char(10) comment 'preserved',
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c10 varchar(20),
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c11 decimal(10, 5),
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c12 struct<f1:int,f2:string>,
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c13 array<int>,
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c14 map<string,string>)
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partitioned by (year int, month int)
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stored as avro
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---- RESULTS
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====
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---- QUERY
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describe no_avro_schema
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---- RESULTS
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'c1','int','from deserializer'
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'c2','int','becomes int'
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'c3','int','from deserializer'
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'c4','bigint','from deserializer'
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'c5','float','from deserializer'
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'c6','double','from deserializer'
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'c7','string','becomes string'
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'c8','string','from deserializer'
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'c9','char(10)','preserved'
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'c10','varchar(20)','from deserializer'
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'c11','decimal(10,5)','from deserializer'
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'c12','struct<\n f1:int,\n f2:string\n>','from deserializer'
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'c13','array<int>','from deserializer'
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'c14','map<string,string>','from deserializer'
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'year','int',''
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'month','int',''
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---- TYPES
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STRING, STRING, STRING
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====
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---- QUERY
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# Test creating an Avro table without an Avro schema via CREATE TABLE LIKE (IMPALA-1813)
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create table like_no_avro_schema like no_avro_schema stored as avro
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---- RESULTS
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====
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---- QUERY
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describe like_no_avro_schema
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---- RESULTS
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'c1','int','from deserializer'
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'c2','int','becomes int'
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'c3','int','from deserializer'
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'c4','bigint','from deserializer'
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'c5','float','from deserializer'
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'c6','double','from deserializer'
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'c7','string','becomes string'
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'c8','string','from deserializer'
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'c9','char(10)','preserved'
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'c10','varchar(20)','from deserializer'
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'c11','decimal(10,5)','from deserializer'
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'c12','struct<\n f1:int,\n f2:string\n>','from deserializer'
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'c13','array<int>','from deserializer'
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'c14','map<string,string>','from deserializer'
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'year','int',''
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'month','int',''
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---- TYPES
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STRING, STRING, STRING
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====
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---- QUERY
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drop table like_no_avro_schema
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---- RESULTS
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====
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---- QUERY
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drop table no_avro_schema
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---- RESULTS
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====
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---- QUERY
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select
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s.`table`, s.`comment`, s.`select`,
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a.`replace`, a.`location`,
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m.key, m.`fields`, m.`from`,
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year, month
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from ddl_test_db.struct_keywords t, t.a, t.m
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---- RESULTS
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---- TYPES
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INT, STRING, DECIMAL, BOOLEAN, STRING, STRING, INT, TIMESTAMP, INT, INT
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====
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