Reading Data from Hive through Pyspark
2
I am trying to read data from Hive table through Pyspark. I have successfully built connection between Hive and spark. I am also able to see tables present within databases but when I try to query the table I am getting this error:
CODE:
spark.sql("select count(*) from my_table").show(truncate = False)
Error:
Py4JJavaError: An error occurred while calling o90.showString
python hive pyspark
edited Nov 19 '18 at 7:44
Ali AzG
5891615
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
add a comment |
2
I am trying to read data from Hive table through Pyspark. I have successfully built connection between Hive and spark. I am also able to see tables present within databases but when I try to query the table I am getting this error:
CODE:
spark.sql("select count(*) from my_table").show(truncate = False)
Error:
Py4JJavaError: An error occurred while calling o90.showString
python hive pyspark
edited Nov 19 '18 at 7:44
Ali AzG
5891615
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
add a comment |
2
2
2
I am trying to read data from Hive table through Pyspark. I have successfully built connection between Hive and spark. I am also able to see tables present within databases but when I try to query the table I am getting this error:
CODE:
spark.sql("select count(*) from my_table").show(truncate = False)
Error:
Py4JJavaError: An error occurred while calling o90.showString
python hive pyspark
edited Nov 19 '18 at 7:44
Ali AzG
5891615
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
I am trying to read data from Hive table through Pyspark. I have successfully built connection between Hive and spark. I am also able to see tables present within databases but when I try to query the table I am getting this error:
CODE:
spark.sql("select count(*) from my_table").show(truncate = False)
Error:
Py4JJavaError: An error occurred while calling o90.showString
python hive pyspark
python hive pyspark
edited Nov 19 '18 at 7:44
Ali AzG
5891615
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
edited Nov 19 '18 at 7:44
Ali AzG
5891615
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
edited Nov 19 '18 at 7:44
Ali AzG
5891615
edited Nov 19 '18 at 7:44
Ali AzG
5891615
edited Nov 19 '18 at 7:44
Ali AzG
5891615
5891615
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
asked Nov 19 '18 at 4:08
Mohsin AslamMohsin Aslam
111
111
add a comment |
add a comment |
1 Answer
1
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oldest
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You can try this solution using SQLContext():
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc = SparkContext()
sqlC = SQLContext(sc)
sqlC.sql("select count(*) from my_table").show(truncate = False)
or try this using HiveContext():
from pyspark import SparkContext
from pyspark.sql import HiveContext
sc = SparkContext()
hivctx = HiveContext(sc)
hivctx.sql("select count(*) from my_table").show(truncate = False)
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Is your table saved in a database? can you tell me the type ofmy_table?
– Ali AzG
Nov 19 '18 at 8:17
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
Is there any nonUTF-8ornullcharacters in your table?
– Ali AzG
Nov 19 '18 at 8:30
|
show 2 more comments
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
You can try this solution using SQLContext():
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc = SparkContext()
sqlC = SQLContext(sc)
sqlC.sql("select count(*) from my_table").show(truncate = False)
or try this using HiveContext():
from pyspark import SparkContext
from pyspark.sql import HiveContext
sc = SparkContext()
hivctx = HiveContext(sc)
hivctx.sql("select count(*) from my_table").show(truncate = False)
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Is your table saved in a database? can you tell me the type ofmy_table?
– Ali AzG
Nov 19 '18 at 8:17
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
Is there any nonUTF-8ornullcharacters in your table?
– Ali AzG
Nov 19 '18 at 8:30
|
show 2 more comments
0
You can try this solution using SQLContext():
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc = SparkContext()
sqlC = SQLContext(sc)
sqlC.sql("select count(*) from my_table").show(truncate = False)
or try this using HiveContext():
from pyspark import SparkContext
from pyspark.sql import HiveContext
sc = SparkContext()
hivctx = HiveContext(sc)
hivctx.sql("select count(*) from my_table").show(truncate = False)
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Is your table saved in a database? can you tell me the type ofmy_table?
– Ali AzG
Nov 19 '18 at 8:17
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
Is there any nonUTF-8ornullcharacters in your table?
– Ali AzG
Nov 19 '18 at 8:30
|
show 2 more comments
0
0
0
You can try this solution using SQLContext():
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc = SparkContext()
sqlC = SQLContext(sc)
sqlC.sql("select count(*) from my_table").show(truncate = False)
or try this using HiveContext():
from pyspark import SparkContext
from pyspark.sql import HiveContext
sc = SparkContext()
hivctx = HiveContext(sc)
hivctx.sql("select count(*) from my_table").show(truncate = False)
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
You can try this solution using SQLContext():
from pyspark import SparkContext
from pyspark.sql import SQLContext
sc = SparkContext()
sqlC = SQLContext(sc)
sqlC.sql("select count(*) from my_table").show(truncate = False)
or try this using HiveContext():
from pyspark import SparkContext
from pyspark.sql import HiveContext
sc = SparkContext()
hivctx = HiveContext(sc)
hivctx.sql("select count(*) from my_table").show(truncate = False)
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
answered Nov 19 '18 at 7:07
Ali AzGAli AzG
5891615
5891615
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Is your table saved in a database? can you tell me the type ofmy_table?
– Ali AzG
Nov 19 '18 at 8:17
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
Is there any nonUTF-8ornullcharacters in your table?
– Ali AzG
Nov 19 '18 at 8:30
|
show 2 more comments
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Is your table saved in a database? can you tell me the type ofmy_table?
– Ali AzG
Nov 19 '18 at 8:17
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
Is there any nonUTF-8ornullcharacters in your table?
– Ali AzG
Nov 19 '18 at 8:30
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Tried both solutions but still same error
– Mohsin Aslam
Nov 19 '18 at 8:04
Is your table saved in a database? can you tell me the type of
my_table?– Ali AzG
Nov 19 '18 at 8:17
Is your table saved in a database? can you tell me the type of
my_table?– Ali AzG
Nov 19 '18 at 8:17
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
Yes table is in Hive database. my_table is the table name inside hive database
– Mohsin Aslam
Nov 19 '18 at 8:20
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
if i execute my query like this: df= sparkSession.sql('select * from my_table') .. it doesn't give an error.. i can even view table schema by executing df which shows DataFrame[version: bigint, app: string, bytes: smallint, city: string, client_ip: string, code: tinyint, country_code: string, country_code3: string].. but i can't able to access the data of that table
– Mohsin Aslam
Nov 19 '18 at 8:25
Is there any non
UTF-8 or null characters in your table?– Ali AzG
Nov 19 '18 at 8:30
Is there any non
UTF-8 or null characters in your table?– Ali AzG
Nov 19 '18 at 8:30
|
show 2 more comments
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