HyukjinKwon commented on a change in pull request #25122: [SPARK-28286][SQL][PYTHON][TESTS][WIP] Convert and port 'pivot.sql' into UDF test base URL: https://github.com/apache/spark/pull/25122#discussion_r302843863
########## File path: sql/core/src/test/resources/sql-tests/results/udf/udf-pivot.sql.out ########## @@ -0,0 +1,494 @@ +-- Automatically generated by SQLQueryTestSuite +-- Number of queries: 32 + + +-- !query 0 +create temporary view courseSales as select * from values + ("dotNET", 2012, 10000), + ("Java", 2012, 20000), + ("dotNET", 2012, 5000), + ("dotNET", 2013, 48000), + ("Java", 2013, 30000) + as courseSales(course, year, earnings) +-- !query 0 schema +struct<> +-- !query 0 output + + + +-- !query 1 +create temporary view years as select * from values + (2012, 1), + (2013, 2) + as years(y, s) +-- !query 1 schema +struct<> +-- !query 1 output + + + +-- !query 2 +create temporary view yearsWithComplexTypes as select * from values + (2012, array(1, 1), map('1', 1), struct(1, 'a')), + (2013, array(2, 2), map('2', 2), struct(2, 'b')) + as yearsWithComplexTypes(y, a, m, s) +-- !query 2 schema +struct<> +-- !query 2 output + + + +-- !query 3 +SELECT * FROM ( + SELECT udf(year), course, earnings FROM courseSales +) +PIVOT ( + udf(sum(earnings)) + FOR course IN ('dotNET', 'Java') +) +-- !query 3 schema +struct<udf(year):string,dotNET:string,Java:string> +-- !query 3 output +2012 15000 20000 +2013 48000 30000 + + +-- !query 4 +SELECT * FROM courseSales +PIVOT ( + udf(sum(earnings)) + FOR year IN (2012, 2013) +) +-- !query 4 schema +struct<course:string,2012:string,2013:string> +-- !query 4 output +Java 20000 30000 +dotNET 15000 48000 + + +-- !query 5 +SELECT * FROM ( + SELECT year, course, earnings FROM courseSales +) +PIVOT ( + udf(sum(earnings)), udf(avg(earnings)) + FOR course IN ('dotNET', 'Java') +) +-- !query 5 schema +struct<year:int,dotNET_udf(sum(cast(earnings as bigint))):string,dotNET_udf(avg(cast(earnings as bigint))):string,Java_udf(sum(cast(earnings as bigint))):string,Java_udf(avg(cast(earnings as bigint))):string> +-- !query 5 output +2012 15000 7500.0 20000 20000.0 +2013 48000 48000.0 30000 30000.0 + + +-- !query 6 +SELECT * FROM ( + SELECT udf(course) as course, earnings FROM courseSales +) +PIVOT ( + udf(sum(earnings)) + FOR course IN ('dotNET', 'Java') +) +-- !query 6 schema +struct<dotNET:string,Java:string> +-- !query 6 output +63000 50000 + + +-- !query 7 +SELECT * FROM ( + SELECT year, course, earnings FROM courseSales +) +PIVOT ( + udf(sum(earnings)), udf(min(year)) + FOR course IN ('dotNET', 'Java') +) +-- !query 7 schema +struct<dotNET_udf(sum(cast(earnings as bigint))):string,dotNET_udf(min(year)):string,Java_udf(sum(cast(earnings as bigint))):string,Java_udf(min(year)):string> +-- !query 7 output +63000 2012 50000 2012 + + +-- !query 8 +SELECT * FROM ( + SELECT course, year, earnings, udf(s) as s + FROM courseSales + JOIN years ON year = y +) +PIVOT ( + udf(sum(earnings)) + FOR s IN (1, 2) +) +-- !query 8 schema +struct<course:string,year:int,1:string,2:string> +-- !query 8 output +Java 2012 20000 nan +Java 2013 nan 30000 +dotNET 2012 15000 nan +dotNET 2013 nan 48000 + + +-- !query 9 +SELECT * FROM ( + SELECT course, year, earnings, s + FROM courseSales + JOIN years ON year = y +) +PIVOT ( + udf(sum(earnings)), udf(min(s)) + FOR course IN ('dotNET', 'Java') +) +-- !query 9 schema +struct<year:int,dotNET_udf(sum(cast(earnings as bigint))):string,dotNET_udf(min(s)):string,Java_udf(sum(cast(earnings as bigint))):string,Java_udf(min(s)):string> +-- !query 9 output +2012 15000 1 20000 1 +2013 48000 2 30000 2 + + +-- !query 10 +SELECT * FROM ( + SELECT course, year, earnings, s + FROM courseSales + JOIN years ON year = y +) +PIVOT ( + udf(sum(earnings * s)) + FOR course IN ('dotNET', 'Java') +) +-- !query 10 schema +struct<year:int,dotNET:string,Java:string> +-- !query 10 output +2012 15000 20000 +2013 96000 60000 + + +-- !query 11 +SELECT 2012_s, 2013_s, 2012_a, 2013_a, c FROM ( + SELECT year y, course c, earnings e FROM courseSales +) +PIVOT ( + udf(sum(e)) s, udf(avg(e)) a + FOR y IN (2012, 2013) +) +-- !query 11 schema +struct<2012_s:string,2013_s:string,2012_a:string,2013_a:string,c:string> +-- !query 11 output +15000 48000 7500.0 48000.0 dotNET +20000 30000 20000.0 30000.0 Java + + +-- !query 12 +SELECT firstYear_s, secondYear_s, firstYear_a, secondYear_a, c FROM ( + SELECT year y, course c, earnings e FROM courseSales +) +PIVOT ( + udf(sum(e)) s, udf(avg(e)) a + FOR y IN (2012 as firstYear, 2013 secondYear) +) +-- !query 12 schema +struct<firstYear_s:string,secondYear_s:string,firstYear_a:string,secondYear_a:string,c:string> +-- !query 12 output +15000 48000 7500.0 48000.0 dotNET +20000 30000 20000.0 30000.0 Java + + +-- !query 13 +SELECT * FROM courseSales +PIVOT ( + udf(abs(earnings)) + FOR year IN (2012, 2013) +) +-- !query 13 schema +struct<> +-- !query 13 output +org.apache.spark.sql.AnalysisException +Aggregate expression required for pivot, but 'coursesales.`earnings`' did not appear in any aggregate function.; + + +-- !query 14 +SELECT * FROM ( + SELECT year, course, earnings FROM courseSales +) +PIVOT ( + udf(sum(earnings)), year + FOR course IN ('dotNET', 'Java') +) +-- !query 14 schema +struct<> +-- !query 14 output +org.apache.spark.sql.AnalysisException +Aggregate expression required for pivot, but '__auto_generated_subquery_name.`year`' did not appear in any aggregate function.; + + +-- !query 15 +SELECT * FROM ( + SELECT course, earnings FROM courseSales +) +PIVOT ( + udf(sum(earnings)) + FOR year IN (2012, 2013) +) +-- !query 15 schema +struct<> +-- !query 15 output +org.apache.spark.sql.AnalysisException +cannot resolve '`year`' given input columns: [__auto_generated_subquery_name.course, __auto_generated_subquery_name.earnings]; line 4 pos 0 + + +-- !query 16 +SELECT * FROM ( + SELECT year, course, earnings FROM courseSales +) +PIVOT ( + udf(ceil(udf(sum(earnings)))), avg(earnings) + 1 as a1 + FOR course IN ('dotNET', 'Java') +) +-- !query 16 schema +struct<year:int,dotNET_udf(CEIL(cast(udf(sum(cast(earnings as bigint))) as double))):string,dotNET_a1:double,Java_udf(CEIL(cast(udf(sum(cast(earnings as bigint))) as double))):string,Java_a1:double> +-- !query 16 output +2012 15000 7501.0 20000 20001.0 +2013 48000 48001.0 30000 30001.0 + + +-- !query 17 +SELECT * FROM ( + SELECT year, course, earnings FROM courseSales +) +PIVOT ( + sum(udf(avg(earnings))) + FOR course IN ('dotNET', 'Java') +) +-- !query 17 schema +struct<> +-- !query 17 output +org.apache.spark.sql.AnalysisException +It is not allowed to use an aggregate function in the argument of another aggregate function. Please use the inner aggregate function in a sub-query.; + + +-- !query 18 +SELECT * FROM ( + SELECT course, year, earnings, s + FROM courseSales + JOIN years ON year = y +) +PIVOT ( + udf(sum(earnings)) + FOR (course, year) IN (('dotNET', 2012), ('Java', 2013)) +) +-- !query 18 schema +struct<s:int,[dotNET, 2012]:string,[Java, 2013]:string> +-- !query 18 output +1 15000 nan +2 nan 30000 + + +-- !query 19 +SELECT * FROM ( + SELECT course, year, earnings, s + FROM courseSales + JOIN years ON year = y +) +PIVOT ( + udf(sum(earnings)) + FOR (course, s) IN (('dotNET', 2) as c1, ('Java', 1) as c2) +) +-- !query 19 schema +struct<year:int,c1:string,c2:string> +-- !query 19 output +2012 nan 20000 +2013 48000 nan + + +-- !query 20 +SELECT * FROM ( + SELECT course, year, earnings, s + FROM courseSales + JOIN years ON year = y +) +PIVOT ( + udf(sum(earnings)) + FOR (course, year) IN ('dotNET', 'Java') +) +-- !query 20 schema +struct<> +-- !query 20 output +org.apache.spark.sql.AnalysisException +Invalid pivot value 'dotNET': value data type string does not match pivot column data type struct<course:string,year:int>; + + +-- !query 21 +SELECT * FROM courseSales +PIVOT ( + udf(sum(earnings)) + FOR year IN (s, 2013) +) +-- !query 21 schema +struct<> +-- !query 21 output +org.apache.spark.sql.AnalysisException +cannot resolve '`s`' given input columns: [coursesales.course, coursesales.earnings, coursesales.year]; line 4 pos 15 + + +-- !query 22 +SELECT * FROM courseSales +PIVOT ( + udf(sum(earnings)) + FOR year IN (course, 2013) +) +-- !query 22 schema +struct<> +-- !query 22 output +org.apache.spark.sql.AnalysisException +Literal expressions required for pivot values, found 'course#x'; + + +-- !query 23 +SELECT * FROM ( + SELECT course, year, a + FROM courseSales + JOIN yearsWithComplexTypes ON year = y +) +PIVOT ( + udf(min(a)) + FOR course IN ('dotNET', 'Java') +) +-- !query 23 schema +struct<year:int,dotNET:string,Java:string> +-- !query 23 output +2012 [1 1] [1 1] +2013 [2 2] [2 2] + + +-- !query 24 +SELECT * FROM ( + SELECT course, year, y, a + FROM courseSales + JOIN yearsWithComplexTypes ON year = y +) +PIVOT ( + udf(max(a)) + FOR (y, course) IN ((2012, 'dotNET'), (2013, 'Java')) +) +-- !query 24 schema +struct<year:int,[2012, dotNET]:string,[2013, Java]:string> +-- !query 24 output +2012 [1 1] None +2013 None [2 2] Review comment: Let's comment out those tests for now. We can say those tests are commented out because the current integrated UDFs cannot handle complex types. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org