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a9aaeaa489
This patch forbids creating an EXTERNAL Iceberg table that points
to another Iceberg table in the Hive Catalog. I.e. the following should
be forbidden:
CREATE EXTERNAL TABLE ice_ext
STORED BY ICEBERG
TBLPROPERTIES ('iceberg.table_identifier'='db.tbl');
Loading such tables should also raise an error. Users need to query
the original Iceberg tables. Alternatively they can create VIEWs if
they want to query tables with a different name.
Testing:
* added e2e tests for CREATE EXTERNAL TABLE
* added e2e test about loading such table
Change-Id: Ifb0d7f0e7ec40fba356bd58b43f68d070432de71
Reviewed-on: http://gerrit.cloudera.org:8080/20429
Reviewed-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
Tested-by: Impala Public Jenkins <impala-public-jenkins@cloudera.com>
335 lines
9.7 KiB
Plaintext
335 lines
9.7 KiB
Plaintext
====
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---- QUERY
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# Create a table that is a subset of 'alltypes' table, i.e. it only
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# contains the data types supported by Iceberg.
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create table iceberg_alltypes(
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id INT COMMENT 'Add a comment',
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bool_col BOOLEAN,
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int_col INT,
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bigint_col BIGINT,
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float_col FLOAT,
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double_col DOUBLE,
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date_col DATE,
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string_col STRING,
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timestamp_col TIMESTAMP
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)
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stored as iceberg
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tblproperties('iceberg.catalog'='hadoop.tables');
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---- RESULTS
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'Table has been created.'
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====
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---- QUERY
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insert into iceberg_alltypes
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes
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order by id
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limit 5;
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---- RESULTS
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: 5
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====
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---- QUERY
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select * from iceberg_alltypes;
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---- RESULTS
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0,true,0,0,0,0,2009-01-01,'0',2009-01-01 00:00:00
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1,false,1,10,1.100000023841858,10.1,2009-01-01,'1',2009-01-01 00:01:00
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2,true,2,20,2.200000047683716,20.2,2009-01-01,'2',2009-01-01 00:02:00.100000000
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3,false,3,30,3.299999952316284,30.3,2009-01-01,'3',2009-01-01 00:03:00.300000000
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4,true,4,40,4.400000095367432,40.4,2009-01-01,'4',2009-01-01 00:04:00.600000000
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---- TYPES
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INT, BOOLEAN, INT, BIGINT, FLOAT, DOUBLE, DATE, STRING, TIMESTAMP
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====
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---- QUERY
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# Create table with decimal types
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CREATE TABLE decimal_tbl (
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d1 DECIMAL(9,0),
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d2 DECIMAL(10,0),
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d3 DECIMAL(20,10),
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d4 DECIMAL(38,38),
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d5 DECIMAL(10,5),
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d6 DECIMAL(9,0)
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)
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STORED AS iceberg
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TBLPROPERTIES('iceberg.catalog'='hadoop.tables');
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---- RESULTS
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'Table has been created.'
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====
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---- QUERY
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insert into decimal_tbl select * from functional_parquet.decimal_tbl;
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select * from decimal_tbl;
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---- RESULTS
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1234,2222,1.2345678900,0.12345678900000000000000000000000000000,12345.78900,1
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2345,111,12.3456789000,0.12345678900000000000000000000000000000,3.14100,1
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12345,333,123.4567890000,0.12345678900000000000000000000000000000,11.22000,1
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12345,333,1234.5678900000,0.12345678900000000000000000000000000000,0.10000,1
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132842,333,12345.6789000000,0.12345678900000000000000000000000000000,0.77889,1
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---- TYPES
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DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL, DECIMAL
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====
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---- QUERY
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# Create non-Iceberg table with INT96 nanos.
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create table int96_nanos (ts timestamp) stored as parquet;
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====
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---- QUERY
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# Insert edge values as "normal" int96 timestamps that can represent all values.
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set parquet_timestamp_type=INT96_NANOS;
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insert into int96_nanos values
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("1400-01-01"),
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("2019-01-18 00:00:00.000000001"),
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("2019-01-18 00:00:00.000001"),
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("2019-01-18 00:00:00.001"),
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("2019-01-18 23:59:59.999"),
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("2019-01-18 23:59:59.999999"),
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("2019-01-18 23:59:59.999999999")
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====
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---- QUERY
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# Iceberg should write timestamps as INT64 micros.
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create table ts_iceberg (ts timestamp) stored as iceberg
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tblproperties('iceberg.catalog'='hadoop.tables');
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insert into ts_iceberg select * from int96_nanos;
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select * from ts_iceberg;
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---- RESULTS
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1400-01-01 00:00:00
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2019-01-18 00:00:00
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2019-01-18 00:00:00.000001000
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2019-01-18 00:00:00.001000000
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2019-01-18 23:59:59.999000000
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2019-01-18 23:59:59.999999000
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2019-01-18 23:59:59.999999000
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====
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---- QUERY
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# Insert into hadoop catalog.
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create table iceberg_hadoop_cat (i int)
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stored as iceberg
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tblproperties('iceberg.catalog'='hadoop.catalog',
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'iceberg.catalog_location'='$WAREHOUSE_LOCATION_PREFIX/test-warehouse/$DATABASE.db/hadoop_catalog_test');
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insert into iceberg_hadoop_cat values (1), (2), (3);
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---- RESULTS
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: 3
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====
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---- QUERY
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select * from iceberg_hadoop_cat;
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---- RESULTS
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1
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2
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3
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---- TYPES
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INT
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====
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---- QUERY
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show files in iceberg_hadoop_cat;
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---- RESULTS
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row_regex:'$NAMENODE/test-warehouse/$DATABASE.db/hadoop_catalog_test/$DATABASE/iceberg_hadoop_cat/data/.*.0.parq','.*','','$ERASURECODE_POLICY'
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---- TYPES
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STRING, STRING, STRING, STRING
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====
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---- QUERY
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# Insert into hadoop catalog with custom table identifier.
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create table iceberg_hadoop_cat_ti (i int)
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stored as iceberg
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tblproperties('iceberg.catalog'='hadoop.catalog',
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'iceberg.catalog_location'='$WAREHOUSE_LOCATION_PREFIX/test-warehouse/$DATABASE.db/hadoop_catalog_test',
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'iceberg.table_identifier'='test.custom_db.int_table');
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insert into iceberg_hadoop_cat_ti values (1), (2), (3);
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---- RESULTS
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: 3
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====
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---- QUERY
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select * from iceberg_hadoop_cat_ti;
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---- RESULTS
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1
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2
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3
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---- TYPES
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INT
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====
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---- QUERY
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show files in iceberg_hadoop_cat_ti;
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---- RESULTS
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row_regex:'$NAMENODE/test-warehouse/$DATABASE.db/hadoop_catalog_test/test/custom_db/int_table/data/.*.0.parq','.*','','$ERASURECODE_POLICY'
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---- TYPES
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STRING, STRING, STRING, STRING
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====
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---- QUERY
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# Insert into table stored in Iceberg's HiveCatalog
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create table iceberg_hive_cat (i int)
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stored as iceberg
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tblproperties('iceberg.catalog'='hive.catalog');
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---- RESULTS
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'Table has been created.'
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====
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---- QUERY
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insert into iceberg_hive_cat values (7);
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select * from iceberg_hive_cat;
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---- RESULTS
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7
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---- TYPES
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INT
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====
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---- QUERY
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# DROP the synchronized Iceberg table (data is purged).
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drop table iceberg_hive_cat
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---- RESULTS
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'Table has been dropped.'
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====
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---- QUERY
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# Insert into hive catalog with custom location.
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create table iceberg_hive_cat_custom_loc (i int)
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stored as iceberg
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location '$WAREHOUSE_LOCATION_PREFIX/test-warehouse/$DATABASE.db/custom_hive_cat'
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tblproperties('iceberg.catalog'='hive.catalog');
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insert into iceberg_hive_cat_custom_loc values (1), (2), (3);
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---- RESULTS
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: 3
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====
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---- QUERY
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select * from iceberg_hive_cat_custom_loc;
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---- RESULTS
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1
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2
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3
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---- TYPES
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INT
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====
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---- QUERY
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show files in iceberg_hive_cat_custom_loc;
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---- RESULTS
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row_regex:'$NAMENODE/test-warehouse/$DATABASE.db/custom_hive_cat/data/.*.0.parq','.*','','$ERASURECODE_POLICY'
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---- TYPES
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STRING, STRING, STRING, STRING
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====
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---- QUERY
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# Create a table that is a subset of 'alltypes' table, i.e. it only
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# contains the data types supported by Iceberg.
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create table iceberg_alltypes_parq_tblprop(
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id INT COMMENT 'Add a comment',
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bool_col BOOLEAN,
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int_col INT,
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bigint_col BIGINT,
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float_col FLOAT,
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double_col DOUBLE,
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date_col DATE,
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string_col STRING,
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timestamp_col TIMESTAMP
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)
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stored as iceberg
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tblproperties('write.format.default'='parquet',
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'write.parquet.row-group-size-bytes'='8388608',
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'write.parquet.compression-codec'='gzip',
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'write.parquet.page-size-bytes'='65536',
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'write.parquet.dict-size-bytes'='1073741824'
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);
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---- RESULTS
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'Table has been created.'
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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alter table iceberg_alltypes_parq_tblprop set tblproperties (
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'write.parquet.row-group-size-bytes'='536870912',
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'write.parquet.compression-codec'='none',
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'write.parquet.page-size-bytes'='134217728',
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'write.parquet.dict-size-bytes'='805306368');
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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alter table iceberg_alltypes_parq_tblprop set tblproperties (
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'write.parquet.row-group-size-bytes'='1073741824',
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'write.parquet.compression-codec'='zstd',
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'write.parquet.compression-level'='1',
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'write.parquet.page-size-bytes'='402653184',
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'write.parquet.dict-size-bytes'='536870912');
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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alter table iceberg_alltypes_parq_tblprop set tblproperties (
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'write.parquet.row-group-size-bytes'='1610612736',
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'write.parquet.compression-codec'='zstd',
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'write.parquet.compression-level'='13',
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'write.parquet.page-size-bytes'='536870912',
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'write.parquet.dict-size-bytes'='402653184');
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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alter table iceberg_alltypes_parq_tblprop set tblproperties (
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'write.parquet.row-group-size-bytes'='1879048192',
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'write.parquet.compression-codec'='zstd',
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'write.parquet.compression-level'='18',
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'write.parquet.page-size-bytes'='805306368',
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'write.parquet.dict-size-bytes'='134217728');
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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alter table iceberg_alltypes_parq_tblprop set tblproperties (
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'write.parquet.row-group-size-bytes'='2146435072',
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'write.parquet.compression-codec'='zstd',
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'write.parquet.compression-level'='22',
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'write.parquet.page-size-bytes'='1073741824',
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'write.parquet.dict-size-bytes'='65536');
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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alter table iceberg_alltypes_parq_tblprop unset tblproperties (
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'write.parquet.row-group-size-bytes',
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'write.parquet.compression-codec',
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'write.parquet.compression-level',
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'write.parquet.page-size-bytes',
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'write.parquet.dict-size-bytes');
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====
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---- QUERY
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insert into iceberg_alltypes_parq_tblprop
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select id, bool_col, int_col, bigint_col, float_col, double_col,
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CAST(date_string_col as date FORMAT 'MM/DD/YY'), string_col, timestamp_col
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from functional.alltypes;
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---- RESULTS
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: 7300
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====
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---- QUERY
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select count(*) from iceberg_alltypes_parq_tblprop;
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---- RESULTS
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51100
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---- TYPES
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BIGINT
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====
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