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Posted to issues@spark.apache.org by "Yuming Wang (JIRA)" <ji...@apache.org> on 2019/05/13 16:50:00 UTC
[jira] [Commented] (SPARK-27689) Error to execute hive views with
spark
[ https://issues.apache.org/jira/browse/SPARK-27689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16838696#comment-16838696 ]
Yuming Wang commented on SPARK-27689:
-------------------------------------
Thank you [~lambda] I will check it.
> 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: Juan Antonio
> Priority: Critical
>
> 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:*
> CREATE DATABASE schema_p LOCATION "hdfs:///tmp/schema_p";
> *Hive tables:*
> CREATE TABLE schema_p.person(
> id_person string,
> identifier string,
> gender 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';
> 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';
> 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';
> *Hive views:*
> CREATE VIEW schema_p.person_v AS SELECT CAST(id_person AS INT) AS id_person, CAST(identifier AS INT) AS identifier, gender AS gender, CAST(start_date AS DATE) AS start_date, CAST(end_date AS DATE) AS end_date FROM schema_p.person;
> 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*:
> def read_tables(sc):
> in_dict = {
> 'person': 'person_v',
> '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):
> person = tables['person']
> product = tables['product']
> person_product = tables['person_product']
>
> person_product_join = person_product.join(product,'id_product')
> count_prod = person_product.groupBy('id_product').agg(F.count('id_product').alias('count_prod'))
>
> person_count = person_product_join.join(count_prod,'id_product')
> final1 = person_product_join.join(person_count, 'id_person', 'left')
> final = final1.withColumn('reference_date', F.lit(ref_date_str))
> 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()
> *********************************************
> *Error:*
> 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_product#124,end_date#129,city#126,price#127,start_date#128,id_person#123,country#125 missing from city#47,price#48,start_date#49,id_product#45,end_date#50,id_person#44,country#46 in operator !Project [cast(id_person#123 as int) AS id_person#96, cast(id_product#124 as int) AS id_product#97, cast(country#125 as string) AS country#98, cast(city#126 as string) AS city#99, cast(price#127 as decimal(38,8)) AS price#100, cast(start_date#128 as date) AS start_date#101, cast(end_date#129 as date) AS end_date#102]. Attribute(s) with the same name appear in the operation: id_product,end_date,city,price,start_date,id_person,country. Please check if the right attribute(s) are used.;;
> Project [id_person#44, id_product#45, country#46, city#47, price#48, start_date#49, end_date#50, name#21, country#22, city#23, start_date#24, end_date#25, id_product#124, country#125, city#126, price#127, start_date#128, end_date#129, name#157, country#158, city#159, start_date#160, end_date#161, count_prod#93L]
> +- Join LeftOuter, (id_person#44 = id_person#123)
> :- Project [id_product#45, id_person#44, country#46, city#47, price#48, start_date#49, end_date#50, name#21, country#22, city#23, start_date#24, end_date#25]
> : +- Join Inner, (id_product#45 = id_product#20)
> : :- SubqueryAlias person_product_v
> : : +- View (`schema_p`.`person_product_v`, [id_person#44,id_product#45,country#46,city#47,price#48,start_date#49,end_date#50])
> : : +- Project [cast(id_person#51 as int) AS id_person#44, cast(id_product#52 as int) AS id_product#45, cast(country#53 as string) AS country#46, cast(city#54 as string) AS city#47, cast(price#55 as decimal(38,8)) AS price#48, cast(start_date#56 as date) AS start_date#49, cast(end_date#57 as date) AS end_date#50]
> : : +- Project [cast(id_person#58 as int) AS id_person#51, cast(id_product#59 as int) AS id_product#52, country#60 AS country#53, city#61 AS city#54, cast(price#62 as decimal(38,8)) AS price#55, cast(start_date#63 as date) AS start_date#56, cast(end_date#64 as date) AS end_date#57]
> : : +- SubqueryAlias person_product
> : : +- HiveTableRelation `schema_p`.`person_product`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_person#58, id_product#59, country#60, city#61, price#62, start_date#63, end_date#64]
> : +- SubqueryAlias product_v
> : +- View (`schema_p`.`product_v`, [id_product#20,name#21,country#22,city#23,start_date#24,end_date#25])
> : +- Project [cast(id_product#26 as int) AS id_product#20, cast(name#27 as string) AS name#21, cast(country#28 as string) AS country#22, cast(city#29 as string) AS city#23, cast(start_date#30 as date) AS start_date#24, cast(end_date#31 as date) AS end_date#25]
> : +- Project [cast(id_product#32 as int) AS id_product#26, name#33 AS name#27, country#34 AS country#28, city#35 AS city#29, cast(start_date#36 as date) AS start_date#30, cast(end_date#37 as date) AS end_date#31]
> : +- SubqueryAlias product
> : +- HiveTableRelation `schema_p`.`product`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_product#32, name#33, country#34, city#35, start_date#36, end_date#37]
> +- Project [id_product#124, id_person#123, country#125, city#126, price#127, start_date#128, end_date#129, name#157, country#158, city#159, start_date#160, end_date#161, count_prod#93L]
> +- Join Inner, (id_product#124 = id_product#97)
> :- Project [id_product#124, id_person#123, country#125, city#126, price#127, start_date#128, end_date#129, name#157, country#158, city#159, start_date#160, end_date#161]
> : +- Join Inner, (id_product#124 = id_product#156)
> : :- SubqueryAlias person_product_v
> : : +- View (`schema_p`.`person_product_v`, [id_person#123,id_product#124,country#125,city#126,price#127,start_date#128,end_date#129])
> : : +- Project [cast(id_person#44 as int) AS id_person#123, cast(id_product#45 as int) AS id_product#124, cast(country#46 as string) AS country#125, cast(city#47 as string) AS city#126, cast(price#48 as decimal(38,8)) AS price#127, cast(start_date#49 as date) AS start_date#128, cast(end_date#50 as date) AS end_date#129]
> : : +- Project [cast(id_person#51 as int) AS id_person#44, cast(id_product#52 as int) AS id_product#45, cast(country#53 as string) AS country#46, cast(city#54 as string) AS city#47, cast(price#55 as decimal(38,8)) AS price#48, cast(start_date#56 as date) AS start_date#49, cast(end_date#57 as date) AS end_date#50]
> : : +- Project [cast(id_person#58 as int) AS id_person#51, cast(id_product#59 as int) AS id_product#52, country#60 AS country#53, city#61 AS city#54, cast(price#62 as decimal(38,8)) AS price#55, cast(start_date#63 as date) AS start_date#56, cast(end_date#64 as date) AS end_date#57]
> : : +- SubqueryAlias person_product
> : : +- HiveTableRelation `schema_p`.`person_product`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_person#58, id_product#59, country#60, city#61, price#62, start_date#63, end_date#64]
> : +- SubqueryAlias product_v
> : +- View (`schema_p`.`product_v`, [id_product#156,name#157,country#158,city#159,start_date#160,end_date#161])
> : +- Project [cast(id_product#20 as int) AS id_product#156, cast(name#21 as string) AS name#157, cast(country#22 as string) AS country#158, cast(city#23 as string) AS city#159, cast(start_date#24 as date) AS start_date#160, cast(end_date#25 as date) AS end_date#161]
> : +- Project [cast(id_product#26 as int) AS id_product#20, cast(name#27 as string) AS name#21, cast(country#28 as string) AS country#22, cast(city#29 as string) AS city#23, cast(start_date#30 as date) AS start_date#24, cast(end_date#31 as date) AS end_date#25]
> : +- Project [cast(id_product#32 as int) AS id_product#26, name#33 AS name#27, country#34 AS country#28, city#35 AS city#29, cast(start_date#36 as date) AS start_date#30, cast(end_date#37 as date) AS end_date#31]
> : +- SubqueryAlias product
> : +- HiveTableRelation `schema_p`.`product`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_product#32, name#33, country#34, city#35, start_date#36, end_date#37]
> +- Aggregate [id_product#97], [id_product#97, count(id_product#97) AS count_prod#93L]
> +- SubqueryAlias person_product_v
> +- View (`schema_p`.`person_product_v`, [id_person#96,id_product#97,country#98,city#99,price#100,start_date#101,end_date#102])
> +- !Project [cast(id_person#123 as int) AS id_person#96, cast(id_product#124 as int) AS id_product#97, cast(country#125 as string) AS country#98, cast(city#126 as string) AS city#99, cast(price#127 as decimal(38,8)) AS price#100, cast(start_date#128 as date) AS start_date#101, cast(end_date#129 as date) AS end_date#102]
> +- Project [cast(id_person#51 as int) AS id_person#44, cast(id_product#52 as int) AS id_product#45, cast(country#53 as string) AS country#46, cast(city#54 as string) AS city#47, cast(price#55 as decimal(38,8)) AS price#48, cast(start_date#56 as date) AS start_date#49, cast(end_date#57 as date) AS end_date#50]
> +- Project [cast(id_person#58 as int) AS id_person#51, cast(id_product#59 as int) AS id_product#52, country#60 AS country#53, city#61 AS city#54, cast(price#62 as decimal(38,8)) AS price#55, cast(start_date#63 as date) AS start_date#56, cast(end_date#64 as date) AS end_date#57]
> +- SubqueryAlias person_product
> +- HiveTableRelation `schema_p`.`person_product`, org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe, [id_person#58, id_product#59, country#60, city#61, price#62, start_date#63, end_date#64]
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