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Posted to issues@spark.apache.org by "Juan Antonio (JIRA)" <ji...@apache.org> on 2019/05/13 13:41:00 UTC
[jira] [Created] (SPARK-27689) Error to execute hive views with
spark
Juan Antonio created SPARK-27689:
------------------------------------
Summary: 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: 2.4.3, 2.3.3, 2.3.0
Reporter: Juan Antonio
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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