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feiwang commented on SPARK-27689: --------------------------------- It seemed that this failure is caused by PR-SPARK-18801, https://github.com/apache/spark/pull/16233. > Error to execute hive views with spark > -------------------------------------- > > Key: SPARK-27689 > URL: https://issues.apache.org/jira/browse/SPARK-27689 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.3.0, 2.3.3, 2.4.3 > Reporter: Lambda > Priority: Major > > I have a python error when I execute the following code using hive views but > it works correctly when I run it with hive tables. > *Hive databases:* > {code:java} > CREATE DATABASE schema_p LOCATION "hdfs:///tmp/schema_p"; > {code} > *Hive tables:* > {code:java} > CREATE TABLE schema_p.product( > id_product string, > name string, > country string, > city string, > start_date string, > end_date string > ) > ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' > STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' > OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' > LOCATION 'hdfs:///tmp/schema_p/product'; > {code} > {code:java} > CREATE TABLE schema_p.person_product( > id_person string, > id_product string, > country string, > city string, > price string, > start_date string, > end_date string > ) > ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe' > STORED AS INPUTFORMAT 'org.apache.hadoop.mapred.TextInputFormat' > OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat' > LOCATION 'hdfs:///tmp/schema_p/person_product'; > {code} > *Hive views:* > {code:java} > CREATE VIEW schema_p.product_v AS SELECT CAST(id_product AS INT) AS > id_product, name AS name, country AS country, city AS city, CAST(start_date > AS DATE) AS start_date, CAST(end_date AS DATE) AS end_date FROM > schema_p.product; > > CREATE VIEW schema_p.person_product_v AS SELECT CAST(id_person AS INT) AS > id_person, CAST(id_product AS INT) AS id_product, country AS country, city AS > city, CAST(price AS DECIMAL(38,8)) AS price, CAST(start_date AS DATE) AS > start_date, CAST(end_date AS DATE) AS end_date FROM schema_p.person_product; > {code} > *Code*: > {code:java} > def read_tables(sc): > in_dict = { 'product': 'product_v', 'person_product': 'person_product_v' } > data_dict = {} > for n, d in in_dict.iteritems(): > data_dict[n] = sc.read.table(d) > return data_dict > def get_population(tables, ref_date_str): > product = tables['product'] > person_product = tables['person_product'] > count_prod > =person_product.groupBy('id_product').agg(F.count('id_product').alias('count_prod')) > person_product_join = person_product.join(product,'id_product') > person_count = person_product_join.join(count_prod,'id_product') > final = person_product_join.join(person_count, 'id_person', 'left') > return final > import pyspark.sql.functions as F > import functools > from pyspark.sql.functions import col > from pyspark.sql.functions import add_months, lit, count, coalesce > spark.sql('use schema_p') > data_dict = read_tables(spark) > data_dict > population = get_population(data_dict, '2019-04-30') > population.show() > {code} > *Error:* > {code:java} > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > File "<stdin>", line 10, in get_population > File "/usr/hdp/current/spark2-client/python/pyspark/sql/dataframe.py", line > 931, in join > jdf = self._jdf.join(other._jdf, on, how) > File > "/usr/hdp/current/spark2-client/python/lib/py4j-0.10.6-src.zip/py4j/java_gateway.py", > line 1160, in __call__ > File "/usr/hdp/current/spark2-client/python/pyspark/sql/utils.py", line 69, > in deco > raise AnalysisException(s.split(': ', 1)[1], stackTrace) > pyspark.sql.utils.AnalysisException: u'Resolved attribute(s) > id_person#103,start_date#108,id_product#104,end_date#109,price#107,country#105,city#106 > missing from > price#4,id_product#1,start_date#5,end_date#6,id_person#0,city#3,country#2 in > operator !Project [cast(id_person#103 as int) AS id_person#76, > cast(id_product#104 as int) AS id_product#77, cast(country#105 as string) AS > country#78, cast(city#106 as string) AS city#79, cast(price#107 as > decimal(38,8)) AS price#80, cast(start_date#108 as date) AS start_date#81, > cast(end_date#109 as date) AS end_date#82]. Attribute(s) with the same name > appear in the operation: > id_person,start_date,id_product,end_date,price,country,city. Please check if > the right attribute(s) are used.;; > Project [id_person#0, id_product#1, country#2, city#3, price#4, start_date#5, > end_date#6, name#29, country#30, city#31, start_date#32, end_date#33, > id_product#104, country#105, city#106, price#107, start_date#108, > end_date#109, name#137, country#138, city#139, start_date#140, end_date#141, > count_prod#61L] > +- Join LeftOuter, (id_person#0 = id_person#103) > :- Project [id_product#1, id_person#0, country#2, city#3, price#4, > start_date#5, end_date#6, name#29, country#30, city#31, start_date#32, > end_date#33] > : +- Join Inner, (id_product#1 = id_product#28) > : :- SubqueryAlias person_product_v > : : +- View (`schema_p`.`person_product_v`, > [id_person#0,id_product#1,country#2,city#3,price#4,start_date#5,end_date#6]) > : : +- Project [cast(id_person#7 as int) AS id_person#0, cast(id_product#8 as > int) AS id_product#1, cast(country#9 as string) AS country#2, cast(city#10 as > string) AS city#3, cast(price#11 as decimal(38,8)) AS price#4, > cast(start_date#12 as date) AS start_date#5, cast(end_date#13 as date) AS > end_date#6] > : : +- Project [cast(id_person#14 as int) AS id_person#7, cast(id_product#15 > as int) AS id_product#8, country#16 AS country#9, city#17 AS city#10, > cast(price#18 as decimal(38,8)) AS price#11, cast(start_date#19 as date) AS > start_date#12, cast(end_date#20 as date) AS end_date#13] > : : +- SubqueryAlias person_product > : : +- HiveTableRelation `schema_p`.`person_product`, > org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_person#14, > id_product#15, country#16, city#17, price#18, start_date#19, end_date#20] > : +- SubqueryAlias product_v > : +- View (`schema_p`.`product_v`, > [id_product#28,name#29,country#30,city#31,start_date#32,end_date#33]) > : +- Project [cast(id_product#34 as int) AS id_product#28, cast(name#35 as > string) AS name#29, cast(country#36 as string) AS country#30, cast(city#37 as > string) AS city#31, cast(start_date#38 as date) AS start_date#32, > cast(end_date#39 as date) AS end_date#33] > : +- Project [cast(id_product#40 as int) AS id_product#34, name#41 AS > name#35, country#42 AS country#36, city#43 AS city#37, cast(start_date#44 as > date) AS start_date#38, cast(end_date#45 as date) AS end_date#39] > : +- SubqueryAlias product > : +- HiveTableRelation `schema_p`.`product`, > org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_product#40, name#41, > country#42, city#43, start_date#44, end_date#45] > +- Project [id_product#104, id_person#103, country#105, city#106, price#107, > start_date#108, end_date#109, name#137, country#138, city#139, > start_date#140, end_date#141, count_prod#61L] > +- Join Inner, (id_product#104 = id_product#77) > :- Project [id_product#104, id_person#103, country#105, city#106, price#107, > start_date#108, end_date#109, name#137, country#138, city#139, > start_date#140, end_date#141] > : +- Join Inner, (id_product#104 = id_product#136) > : :- SubqueryAlias person_product_v > : : +- View (`schema_p`.`person_product_v`, > [id_person#103,id_product#104,country#105,city#106,price#107,start_date#108,end_date#109]) > : : +- Project [cast(id_person#0 as int) AS id_person#103, cast(id_product#1 > as int) AS id_product#104, cast(country#2 as string) AS country#105, > cast(city#3 as string) AS city#106, cast(price#4 as decimal(38,8)) AS > price#107, cast(start_date#5 as date) AS start_date#108, cast(end_date#6 as > date) AS end_date#109] > : : +- Project [cast(id_person#7 as int) AS id_person#0, cast(id_product#8 as > int) AS id_product#1, cast(country#9 as string) AS country#2, cast(city#10 as > string) AS city#3, cast(price#11 as decimal(38,8)) AS price#4, > cast(start_date#12 as date) AS start_date#5, cast(end_date#13 as date) AS > end_date#6] > : : +- Project [cast(id_person#14 as int) AS id_person#7, cast(id_product#15 > as int) AS id_product#8, country#16 AS country#9, city#17 AS city#10, > cast(price#18 as decimal(38,8)) AS price#11, cast(start_date#19 as date) AS > start_date#12, cast(end_date#20 as date) AS end_date#13] > : : +- SubqueryAlias person_product > : : +- HiveTableRelation `schema_p`.`person_product`, > org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_person#14, > id_product#15, country#16, city#17, price#18, start_date#19, end_date#20] > : +- SubqueryAlias product_v > : +- View (`schema_p`.`product_v`, > [id_product#136,name#137,country#138,city#139,start_date#140,end_date#141]) > : +- Project [cast(id_product#28 as int) AS id_product#136, cast(name#29 as > string) AS name#137, cast(country#30 as string) AS country#138, cast(city#31 > as string) AS city#139, cast(start_date#32 as date) AS start_date#140, > cast(end_date#33 as date) AS end_date#141] > : +- Project [cast(id_product#34 as int) AS id_product#28, cast(name#35 as > string) AS name#29, cast(country#36 as string) AS country#30, cast(city#37 as > string) AS city#31, cast(start_date#38 as date) AS start_date#32, > cast(end_date#39 as date) AS end_date#33] > : +- Project [cast(id_product#40 as int) AS id_product#34, name#41 AS > name#35, country#42 AS country#36, city#43 AS city#37, cast(start_date#44 as > date) AS start_date#38, cast(end_date#45 as date) AS end_date#39] > : +- SubqueryAlias product > : +- HiveTableRelation `schema_p`.`product`, > org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_product#40, name#41, > country#42, city#43, start_date#44, end_date#45] > +- Aggregate [id_product#77], [id_product#77, count(id_product#77) AS > count_prod#61L] > +- SubqueryAlias person_product_v > +- View (`schema_p`.`person_product_v`, > [id_person#76,id_product#77,country#78,city#79,price#80,start_date#81,end_date#82]) > +- !Project [cast(id_person#103 as int) AS id_person#76, cast(id_product#104 > as int) AS id_product#77, cast(country#105 as string) AS country#78, > cast(city#106 as string) AS city#79, cast(price#107 as decimal(38,8)) AS > price#80, cast(start_date#108 as date) AS start_date#81, cast(end_date#109 as > date) AS end_date#82] > +- Project [cast(id_person#7 as int) AS id_person#0, cast(id_product#8 as > int) AS id_product#1, cast(country#9 as string) AS country#2, cast(city#10 as > string) AS city#3, cast(price#11 as decimal(38,8)) AS price#4, > cast(start_date#12 as date) AS start_date#5, cast(end_date#13 as date) AS > end_date#6] > +- Project [cast(id_person#14 as int) AS id_person#7, cast(id_product#15 as > int) AS id_product#8, country#16 AS country#9, city#17 AS city#10, > cast(price#18 as decimal(38,8)) AS price#11, cast(start_date#19 as date) AS > start_date#12, cast(end_date#20 as date) AS end_date#13] > +- SubqueryAlias person_product > +- HiveTableRelation `schema_p`.`person_product`, > org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_person#14, > id_product#15, country#16, city#17, price#18, start_date#19, end_date#20] > '{code} -- This message was sent by Atlassian JIRA (v7.6.14#76016) --------------------------------------------------------------------- To unsubscribe, e-mail: 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