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137 changes: 137 additions & 0 deletions sql/core/src/test/resources/sql-tests/inputs/pgSQL/text.sql
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--
-- Portions Copyright (c) 1996-2019, PostgreSQL Global Development Group
--
--
-- TEXT
-- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/text.sql

SELECT string('this is a text string') = string('this is a text string') AS true;

SELECT string('this is a text string') = string('this is a text strin') AS `false`;

CREATE TABLE TEXT_TBL (f1 string) USING parquet;

INSERT INTO TEXT_TBL VALUES ('doh!');
INSERT INTO TEXT_TBL VALUES ('hi de ho neighbor');

SELECT '' AS two, * FROM TEXT_TBL;

-- As of 8.3 we have removed most implicit casts to text, so that for example
-- this no longer works:
-- Spark SQL implicit cast integer to string
select length(42);
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FYI: If we strictly follow ANSI/SQL, we don't allow this implicit cast along with PostgresSQL.
cc: @gengliangwang

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Is this casting an integer to string? If yes, I think it is allowed in ANSI SQL and up-cast.


-- But as a special exception for usability's sake, we still allow implicit
-- casting to text in concatenations, so long as the other input is text or
-- an unknown literal. So these work:
-- [SPARK-28033] String concatenation low priority than other arithmeticBinary
select string('four: ') || 2+2;
select 'four: ' || 2+2;

-- but not this:
-- Spark SQL implicit cast both side to string
select 3 || 4.0;

/*
* various string functions
*/
select concat('one');
-- Spark SQL does not support YYYYMMDD, we replace it to yyyyMMdd
select concat(1,2,3,'hello',true, false, to_date('20100309','yyyyMMdd'));
select concat_ws('#','one');
select concat_ws('#',1,2,3,'hello',true, false, to_date('20100309','yyyyMMdd'));
select concat_ws(',',10,20,null,30);
select concat_ws('',10,20,null,30);
select concat_ws(NULL,10,20,null,30) is null;
select reverse('abcde');
-- [SPARK-28036] Built-in udf left/right has inconsistent behavior
-- [SPARK-28479] Parser error when enabling ANSI mode
set spark.sql.parser.ansi.enabled=false;
select i, left('ahoj', i), right('ahoj', i) from range(-5, 6) t(i) order by i;
set spark.sql.parser.ansi.enabled=true;
-- [SPARK-28037] Add built-in String Functions: quote_literal
-- select quote_literal('');
-- select quote_literal('abc''');
-- select quote_literal(e'\\');

-- Skip these tests because Spark does not support variadic labeled argument
-- check variadic labeled argument
-- select concat(variadic array[1,2,3]);
-- select concat_ws(',', variadic array[1,2,3]);
-- select concat_ws(',', variadic NULL::int[]);
-- select concat(variadic NULL::int[]) is NULL;
-- select concat(variadic '{}'::int[]) = '';
--should fail
-- select concat_ws(',', variadic 10);

-- [SPARK-27930] Replace format to format_string
/*
* format
*/
select format_string(NULL);
select format_string('Hello');
select format_string('Hello %s', 'World');
select format_string('Hello %%');
select format_string('Hello %%%%');
-- should fail
select format_string('Hello %s %s', 'World');
select format_string('Hello %s');
select format_string('Hello %x', 20);
-- check literal and sql identifiers
-- [SPARK-27930] format_string can not fully support PostgreSQL's format
-- select format_string('INSERT INTO %I VALUES(%L,%L)', 'mytab', 10, 'Hello');
-- select format_string('%s%s%s','Hello', NULL,'World');
-- select format_string('INSERT INTO %I VALUES(%L,%L)', 'mytab', 10, NULL);
-- select format_string('INSERT INTO %I VALUES(%L,%L)', 'mytab', NULL, 'Hello');
-- should fail, sql identifier cannot be NULL
-- select format_string('INSERT INTO %I VALUES(%L,%L)', NULL, 10, 'Hello');
-- check positional placeholders
select format_string('%1$s %3$s', 1, 2, 3);
select format_string('%1$s %12$s', 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12);
-- should fail
select format_string('%1$s %4$s', 1, 2, 3);
select format_string('%1$s %13$s', 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12);
--PostgreSQL throw ERROR: format specifies argument 0, but arguments are numbered from 1
select format_string('%0$s', 'Hello');
-- [SPARK-27930] format_string can not fully support PostgreSQL's format
-- select format_string('%*0$s', 'Hello');
-- select format_string('%1$', 1);
-- select format_string('%1$1', 1);
-- check mix of positional and ordered placeholders
select format_string('Hello %s %1$s %s', 'World', 'Hello again');
select format_string('Hello %s %s, %2$s %2$s', 'World', 'Hello again');
-- Skip these tests because Spark does not support variadic labeled argument
-- check variadic labeled arguments
-- select format('%s, %s', variadic array['Hello','World']);
-- select format('%s, %s', variadic array[1, 2]);
-- select format('%s, %s', variadic array[true, false]);
-- select format('%s, %s', variadic array[true, false]::text[]);
-- check variadic with positional placeholders
-- select format('%2$s, %1$s', variadic array['first', 'second']);
-- select format('%2$s, %1$s', variadic array[1, 2]);
-- variadic argument can be array type NULL, but should not be referenced
-- select format('Hello', variadic NULL::int[]);
-- variadic argument allows simulating more than FUNC_MAX_ARGS parameters
-- select format(string_agg('%s',','), variadic array_agg(i))
-- from generate_series(1,200) g(i);
-- check field widths and left, right alignment
select format_string('>>%10s<<', 'Hello');
select format_string('>>%10s<<', NULL);
select format_string('>>%10s<<', '');
select format_string('>>%-10s<<', '');
select format_string('>>%-10s<<', 'Hello');
select format_string('>>%-10s<<', NULL);
select format_string('>>%1$10s<<', 'Hello');
-- [SPARK-27930] format_string can not fully support PostgreSQL's format
-- select format_string('>>%1$-10I<<', 'Hello');
-- select format_string('>>%2$*1$L<<', 10, 'Hello');
-- select format_string('>>%2$*1$L<<', 10, NULL);
-- select format_string('>>%2$*1$L<<', -10, NULL);
-- select format_string('>>%*s<<', 10, 'Hello');
-- select format_string('>>%*1$s<<', 10, 'Hello');
-- select format_string('>>%-s<<', 'Hello');
-- select format_string('>>%10L<<', NULL);
-- select format_string('>>%2$*1$L<<', NULL, 'Hello');
-- select format_string('>>%2$*1$L<<', 0, 'Hello');

DROP TABLE TEXT_TBL;
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