Re: In windows 10, accessing Hive from PySpark with PyCharm throws error

[Mich Talebzadeh]

OK with PyCharm itself, i am getting this error

pyspark.sql.utils.AnalysisException: java.lang.RuntimeException: Error
while running command to get file permissions : java.io.IOException: (null)
entry in command string: null ls -F
C:\Users\admin\PycharmProjects\pythonProject\hive-scratchdir

I gather null ls is because it cannot find winutil.exe?


Now if i run the command manually with winutils.exe



D:\temp\spark\bin\winutils.exe ls -F
C:\Users\admin\PycharmProjects\pythonProject\hive-scratchdir

drwxrwxrwx|1|w7\admin|w7\None|0|Nov|29|2020|C:\Users\admin\PycharmProjects\pythonProject\hive-scratchdir

it works

thanks

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On Fri, 4 Dec 2020 at 04:50, Artemis User  wrote:

> You don't have to include all your config and log messages.  The error
> message would suffice.  The java.lang.UnsatisfiedLinkError exception
> indicates that the JVM can't find some OS-specific libraries (or commonly
> referred as native libraries).  On Windows, they would be some dll files.
> Look into your Hadoop installation and you will find the
> $HADOOPHOME/lib/native directory.  All the OS-specific library files are
> there (on Windows, this lib path may be different).  So add this path to
> your PATH environmental variable in your command shell before running
> spark-submit again.
>
> -- ND
> On 12/3/20 6:28 PM, Mich Talebzadeh wrote:
>
> This is becoming serious pain.
>
> using powershell I am using spark-submit as follows:
>
> PS C:\Users\admin> spark-submit.cmd
> C:\Users\admin\PycharmProjects\pythonProject\main.py
>
> WARNING: An illegal reflective access operation has occurred
>
> WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform (
> file:/D:/temp/spark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor
> java.nio.DirectByteBuffer(long,int)
>
> WARNING: Please consider reporting this to the maintainers of
> org.apache.spark.unsafe.Platform
>
> WARNING: Use --illegal-access=warn to enable warnings of further illegal
> reflective access operations
>
> WARNING: All illegal access operations will be denied in a future release
>
> Using Spark's default log4j profile:
> org/apache/spark/log4j-defaults.properties
>
> 20/12/03 23:13:59 INFO SparkContext: Running Spark version 3.0.1
>
> 20/12/03 23:13:59 INFO ResourceUtils:
> ==
>
> 20/12/03 23:13:59 INFO ResourceUtils: Resources for spark.driver:
>
>
> 20/12/03 23:13:59 INFO ResourceUtils:
> ==
>
> 20/12/03 23:13:59 INFO SparkContext: Submitted application: App1
>
> 20/12/03 23:13:59 INFO SecurityManager: Changing view acls to: admin
>
> 20/12/03 23:13:59 INFO SecurityManager: Changing modify acls to: admin
>
> 20/12/03 23:13:59 INFO SecurityManager: Changing view acls groups to:
>
> 20/12/03 23:13:59 INFO SecurityManager: Changing modify acls groups to:
>
> 20/12/03 23:13:59 INFO SecurityManager: SecurityManager: authentication
> disabled; ui acls disabled; users  with view permissions: Set(admin);
> groups with view permissions: Set(); users  with modify permissions:
> Set(admin); groups with modify permissions: Set()
>
> 20/12/03 23:14:00 INFO Utils: Successfully started service 'sparkDriver'
> on port 62327.
>
> 20/12/03 23:14:00 INFO SparkEnv: Registering MapOutputTracker
>
> 20/12/03 23:14:00 INFO SparkEnv: Registering BlockManagerMaster
>
> 20/12/03 23:14:01 INFO BlockManagerMasterEndpoint: Using
> org.apache.spark.storage.DefaultTopologyMapper for getting topology
> information
>
> 20/12/03 23:14:01 INFO BlockManagerMasterEndpoint:
> BlockManagerMasterEndpoint up
>
> 20/12/03 23:14:01 INFO SparkEnv: Registering BlockManagerMasterHeartbeat
>
> 20/12/03 23:14:01 INFO DiskBlockManager: Created local directory at
> C:\Users\admin\AppData\Local\Temp\blockmgr-30e2019a-af60-44da-86e7-8a162d1e29da
>
> 20/12/03 23:14:01 INFO MemoryStore: MemoryStore started with capacity
> 434.4 MiB
>
> 20/12/03 23:14:01 INFO SparkEnv: Registering OutputCommitCoordinator
>
> 20/12/03 23:14:01 INFO Utils: Successfully started service 'SparkUI' on
> port 4040.
>
> 20/12/03 23:14:01 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at
> http://w7:4040
>
> 20/12/03 23:14:01 INFO Executor: Starting executor ID driver on host w7
>
> 20/12/03 23:14:01 INFO Utils: Successfully started service
> 'org.apache.spark.network.netty.NettyBlockTransferService' on port 62373.
>
> 20/12/03 23:14:01 INFO NettyBlockTransferService: Server created on
> w7:62373
>
> 20/12/03 23:14:01 INFO BlockManager: Using
> org.apache.spark.storage.RandomBlockReplicationPolicy for block replication
> policy
>
> 20/12/03 23:14:01 INFO BlockManagerMaster: Registering 

Re: In windows 10, accessing Hive from PySpark with PyCharm throws error

[Artemis User]

You don't have to include all your config and log messages.  The error 
message would suffice.  The java.lang.UnsatisfiedLinkError exception 
indicates that the JVM can't find some OS-specific libraries (or 
commonly referred as native libraries).  On Windows, they would be some 
dll files.  Look into your Hadoop installation and you will find the 
$HADOOPHOME/lib/native directory.  All the OS-specific library files are 
there (on Windows, this lib path may be different).  So add this path to 
your PATH environmental variable in your command shell before running 
spark-submit again.


-- ND

On 12/3/20 6:28 PM, Mich Talebzadeh wrote:

This is becoming serious pain.

using powershell I am using spark-submit as follows:

PS C:\Users\admin> spark-submit.cmd 
C:\Users\admin\PycharmProjects\pythonProject\main.py


WARNING: An illegal reflective access operation has occurred

WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform 
(file:/D:/temp/spark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor 
java.nio.DirectByteBuffer(long,int)


WARNING: Please consider reporting this to the maintainers of 
org.apache.spark.unsafe.Platform


WARNING: Use --illegal-access=warn to enable warnings of further 
illegal reflective access operations


WARNING: All illegal access operations will be denied in a future release

Using Spark's default log4j profile: 
org/apache/spark/log4j-defaults.properties


20/12/03 23:13:59 INFO SparkContext: Running Spark version 3.0.1

20/12/03 23:13:59 INFO ResourceUtils: 
==


20/12/03 23:13:59 INFO ResourceUtils: Resources for spark.driver:


20/12/03 23:13:59 INFO ResourceUtils: 
==


20/12/03 23:13:59 INFO SparkContext: Submitted application: App1

20/12/03 23:13:59 INFO SecurityManager: Changing view acls to: admin

20/12/03 23:13:59 INFO SecurityManager: Changing modify acls to: admin

20/12/03 23:13:59 INFO SecurityManager: Changing view acls groups to:

20/12/03 23:13:59 INFO SecurityManager: Changing modify acls groups to:

20/12/03 23:13:59 INFO SecurityManager: SecurityManager: 
authentication disabled; ui acls disabled; users with view 
permissions: Set(admin); groups with view permissions: Set(); users  
with modify permissions: Set(admin); groups with modify permissions: Set()


20/12/03 23:14:00 INFO Utils: Successfully started service 
'sparkDriver' on port 62327.


20/12/03 23:14:00 INFO SparkEnv: Registering MapOutputTracker

20/12/03 23:14:00 INFO SparkEnv: Registering BlockManagerMaster

20/12/03 23:14:01 INFO BlockManagerMasterEndpoint: Using 
org.apache.spark.storage.DefaultTopologyMapper for getting topology 
information


20/12/03 23:14:01 INFO BlockManagerMasterEndpoint: 
BlockManagerMasterEndpoint up


20/12/03 23:14:01 INFO SparkEnv: Registering BlockManagerMasterHeartbeat

20/12/03 23:14:01 INFO DiskBlockManager: Created local directory at 
C:\Users\admin\AppData\Local\Temp\blockmgr-30e2019a-af60-44da-86e7-8a162d1e29da


20/12/03 23:14:01 INFO MemoryStore: MemoryStore started with capacity 
434.4 MiB


20/12/03 23:14:01 INFO SparkEnv: Registering OutputCommitCoordinator

20/12/03 23:14:01 INFO Utils: Successfully started service 'SparkUI' 
on port 4040.


20/12/03 23:14:01 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started 
at http://w7:4040 


20/12/03 23:14:01 INFO Executor: Starting executor ID driver on host w7

20/12/03 23:14:01 INFO Utils: Successfully started service 
'org.apache.spark.network.netty.NettyBlockTransferService' on port 62373.


20/12/03 23:14:01 INFO NettyBlockTransferService: Server created on 
w7:62373


20/12/03 23:14:01 INFO BlockManager: Using 
org.apache.spark.storage.RandomBlockReplicationPolicy for block 
replication policy


20/12/03 23:14:01 INFO BlockManagerMaster: Registering BlockManager 
BlockManagerId(driver, w7, 62373, None)


20/12/03 23:14:01 INFO BlockManagerMasterEndpoint: Registering block 
manager w7:62373 with 434.4 MiB RAM, BlockManagerId(driver, w7, 62373, 
None)


20/12/03 23:14:01 INFO BlockManagerMaster: Registered BlockManager 
BlockManagerId(driver, w7, 62373, None)


20/12/03 23:14:01 INFO BlockManager: Initialized BlockManager: 
BlockManagerId(driver, w7, 62373, None)


D:\temp\spark\python\lib\pyspark.zip\pyspark\context.py:225: 
DeprecationWarning: Support for Python 2 and Python 3 prior to version 
3.6 is deprecated as of Spark 3.0. See also the plan for dropping 
Python 2 support at 
https://spark.apache.org/news/plan-for-dropping-python-2-support.html 
.


DeprecationWarning)

*20/12/03 23:14:02 INFO SharedState: loading hive config file: 
file:/D:/temp/spark/conf/hive-site.xml*


*20/12/03 23:14:02 INFO SharedState: spark.sql.warehouse.dir is not 
set, but hive.metastore.warehouse.dir is set. Setting 
spark.sql.warehouse.dir to the value of hive.metastore.warehouse.dir 

Re: In windows 10, accessing Hive from PySpark with PyCharm throws error

[Mich Talebzadeh]

This is becoming serious pain.

using powershell I am using spark-submit as follows:

PS C:\Users\admin> spark-submit.cmd
C:\Users\admin\PycharmProjects\pythonProject\main.py

WARNING: An illegal reflective access operation has occurred

WARNING: Illegal reflective access by org.apache.spark.unsafe.Platform
(file:/D:/temp/spark/jars/spark-unsafe_2.12-3.0.1.jar) to constructor
java.nio.DirectByteBuffer(long,int)

WARNING: Please consider reporting this to the maintainers of
org.apache.spark.unsafe.Platform

WARNING: Use --illegal-access=warn to enable warnings of further illegal
reflective access operations

WARNING: All illegal access operations will be denied in a future release

Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties

20/12/03 23:13:59 INFO SparkContext: Running Spark version 3.0.1

20/12/03 23:13:59 INFO ResourceUtils:
==

20/12/03 23:13:59 INFO ResourceUtils: Resources for spark.driver:


20/12/03 23:13:59 INFO ResourceUtils:
==

20/12/03 23:13:59 INFO SparkContext: Submitted application: App1

20/12/03 23:13:59 INFO SecurityManager: Changing view acls to: admin

20/12/03 23:13:59 INFO SecurityManager: Changing modify acls to: admin

20/12/03 23:13:59 INFO SecurityManager: Changing view acls groups to:

20/12/03 23:13:59 INFO SecurityManager: Changing modify acls groups to:

20/12/03 23:13:59 INFO SecurityManager: SecurityManager: authentication
disabled; ui acls disabled; users  with view permissions: Set(admin);
groups with view permissions: Set(); users  with modify permissions:
Set(admin); groups with modify permissions: Set()

20/12/03 23:14:00 INFO Utils: Successfully started service 'sparkDriver' on
port 62327.

20/12/03 23:14:00 INFO SparkEnv: Registering MapOutputTracker

20/12/03 23:14:00 INFO SparkEnv: Registering BlockManagerMaster

20/12/03 23:14:01 INFO BlockManagerMasterEndpoint: Using
org.apache.spark.storage.DefaultTopologyMapper for getting topology
information

20/12/03 23:14:01 INFO BlockManagerMasterEndpoint:
BlockManagerMasterEndpoint up

20/12/03 23:14:01 INFO SparkEnv: Registering BlockManagerMasterHeartbeat

20/12/03 23:14:01 INFO DiskBlockManager: Created local directory at
C:\Users\admin\AppData\Local\Temp\blockmgr-30e2019a-af60-44da-86e7-8a162d1e29da

20/12/03 23:14:01 INFO MemoryStore: MemoryStore started with capacity 434.4
MiB

20/12/03 23:14:01 INFO SparkEnv: Registering OutputCommitCoordinator

20/12/03 23:14:01 INFO Utils: Successfully started service 'SparkUI' on
port 4040.

20/12/03 23:14:01 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at
http://w7:4040

20/12/03 23:14:01 INFO Executor: Starting executor ID driver on host w7

20/12/03 23:14:01 INFO Utils: Successfully started service
'org.apache.spark.network.netty.NettyBlockTransferService' on port 62373.

20/12/03 23:14:01 INFO NettyBlockTransferService: Server created on w7:62373

20/12/03 23:14:01 INFO BlockManager: Using
org.apache.spark.storage.RandomBlockReplicationPolicy for block replication
policy

20/12/03 23:14:01 INFO BlockManagerMaster: Registering BlockManager
BlockManagerId(driver, w7, 62373, None)

20/12/03 23:14:01 INFO BlockManagerMasterEndpoint: Registering block
manager w7:62373 with 434.4 MiB RAM, BlockManagerId(driver, w7, 62373, None)

20/12/03 23:14:01 INFO BlockManagerMaster: Registered BlockManager
BlockManagerId(driver, w7, 62373, None)

20/12/03 23:14:01 INFO BlockManager: Initialized BlockManager:
BlockManagerId(driver, w7, 62373, None)

D:\temp\spark\python\lib\pyspark.zip\pyspark\context.py:225:
DeprecationWarning: Support for Python 2 and Python 3 prior to version 3.6
is deprecated as of Spark 3.0. See also the plan for dropping Python 2
support at
https://spark.apache.org/news/plan-for-dropping-python-2-support.html.

  DeprecationWarning)

*20/12/03 23:14:02 INFO SharedState: loading hive config file:
file:/D:/temp/spark/conf/hive-site.xml*

*20/12/03 23:14:02 INFO SharedState: spark.sql.warehouse.dir is not set,
but hive.metastore.warehouse.dir is set. Setting spark.sql.warehouse.dir to
the value of hive.metastore.warehouse.dir
('C:\Users\admin\PycharmProjects\pythonProject\spark-warehouse').*

*20/12/03 23:14:02 INFO SharedState: Warehouse path is
'C:\Users\admin\PycharmProjects\pythonProject\spark-warehouse'.*

*20/12/03 23:14:04 INFO HiveConf: Found configuration file
file:/D:/temp/spark/conf/hive-site.xml*

*20/12/03 23:14:04 INFO HiveUtils: Initializing HiveMetastoreConnection
version 2.3.7 using Spark classes.*

*Traceback (most recent call last):*

*  File "C:/Users/admin/PycharmProjects/pythonProject/main.py", line 79, in
*

*spark.sql("CREATE DATABASE IF NOT EXISTS test")*

*  File "D:\temp\spark\python\lib\pyspark.zip\pyspark\sql\session.py", line
649, in sql*

*  File
"D:\temp\spark\python\lib\py4j-0.10.9-src.zip\py4j\java_gateway.py", line
1305, in __call__*

*  File 

Re: In windows 10, accessing Hive from PySpark with PyCharm throws error

[Artemis User]

Apparently this is a OS dynamic lib link error.  Make sure you have the 
LD_LIBRARY_PATH (in Linux) or PATH (windows) set up properly for the 
right .so or .dll file...


On 12/2/20 5:31 PM, Mich Talebzadeh wrote:

Hi,

I have a simple code that tries to create Hive derby database as follows:

from pysparkimport SparkContext
from pyspark.sqlimport SQLContext
from pyspark.sqlimport HiveContext
from pyspark.sqlimport SparkSession
from pyspark.sqlimport Row
from pyspark.sql.typesimport StringType, ArrayType
from pyspark.sql.functionsimport udf, col, maxas max, to_date, date_add, \
 add_months
from datetimeimport datetime, timedelta
import os
from os.pathimport join, abspath
from typingimport Optional
import logging
import random
import string
import math
warehouseLocation ='c:\\Users\\admin\\PycharmProjects\\pythonProject\\spark-warehouse' local_scrtatchdir ='c:\\Users\\admin\\PycharmProjects\\pythonProject\\hive-localscratchdir' scrtatchdir ='c:\\Users\\admin\\PycharmProjects\\pythonProject\\hive-scratchdir' tmp_dir ='d:\\temp\\hive' metastore_db ='jdbc:derby:C:\\Users\\admin\\PycharmProjects\\pythonProject\\metastore_db;create=true' 
ConnectionDriverName ='org.apache.derby.EmbeddedDriver' spark = SparkSession \

 .builder \
 .appName("App1") \
 .config("hive.exec.local.scratchdir", local_scrtatchdir) \
 .config("hive.exec.scratchdir", scrtatchdir) \
 .config("spark.sql.warehouse.dir", warehouseLocation) \
 .config("hadoop.tmp.dir", tmp_dir) \
 .config("javax.jdo.option.ConnectionURL", metastore_db ) \
 .config("javax.jdo.option.ConnectionDriverName", ConnectionDriverName) \
 .enableHiveSupport() \
 .getOrCreate()
print(os.listdir(warehouseLocation))
print(os.listdir(local_scrtatchdir))
print(os.listdir(scrtatchdir))
print(os.listdir(tmp_dir))
sc = SparkContext.getOrCreate()
sqlContext = SQLContext(sc)
HiveContext = HiveContext(sc)
spark.sql("CREATE DATABASE IF NOT EXISTS test")

Now this comes back with the following:


C:\Users\admin\PycharmProjects\pythonProject\venv\Scripts\python.exe 
C:/Users/admin/PycharmProjects/pythonProject/main.py


Using Spark's default log4j profile: 
org/apache/spark/log4j-defaults.properties


Setting default log level to "WARN".

To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use 
setLogLevel(newLevel).


[]

[]

[]

['hive-localscratchdir', 'hive-scratchdir', 'hive-warehouse']

Traceback (most recent call last):

  File "C:/Users/admin/PycharmProjects/pythonProject/main.py", line 
76, in 


    spark.sql("CREATE DATABASE IF NOT EXISTS test")

  File "D:\temp\spark\python\pyspark\sql\session.py", line 649, in sql

    return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped)

  File 
"D:\temp\spark\python\lib\py4j-0.10.9-src.zip\py4j\java_gateway.py", 
line 1305, in __call__


  File "D:\temp\spark\python\pyspark\sql\utils.py", line 134, in deco

raise_from(converted)

  File "", line 3, in raise_from

*pyspark.sql.utils.AnalysisException: java.lang.UnsatisfiedLinkError: 
org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Ljava/lang/String;I)V;*



Process finished with exit code 1


Also under %SPARK_HOME%/conf I also have hive-site.xml file. It is not 
obvious to me why it is throwing this error?


Thanks


LinkedIn 
/https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw 
/




*Disclaimer:* Use it at your own risk.Any and all responsibility for 
any loss, damage or destruction of data or any other property which 
may arise from relying on this email's technical content is explicitly 
disclaimed. The author will in no case be liable for any monetary 
damages arising from such loss, damage or destruction.

In windows 10, accessing Hive from PySpark with PyCharm throws error

[Mich Talebzadeh]

Hi,

I have a simple code that tries to create Hive derby database as follows:

from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql import HiveContext
from pyspark.sql import SparkSession
from pyspark.sql import Row
from pyspark.sql.types import StringType, ArrayType
from pyspark.sql.functions import udf, col, max as max, to_date, date_add, \
add_months
from datetime import datetime, timedelta
import os
from os.path import join, abspath
from typing import Optional
import logging
import random
import string
import math

warehouseLocation =
'c:\\Users\\admin\\PycharmProjects\\pythonProject\\spark-warehouse'
local_scrtatchdir =
'c:\\Users\\admin\\PycharmProjects\\pythonProject\\hive-localscratchdir'
scrtatchdir = 
'c:\\Users\\admin\\PycharmProjects\\pythonProject\\hive-scratchdir'
tmp_dir = 'd:\\temp\\hive'
metastore_db = 
'jdbc:derby:C:\\Users\\admin\\PycharmProjects\\pythonProject\\metastore_db;create=true'
ConnectionDriverName = 'org.apache.derby.EmbeddedDriver'
spark = SparkSession \
.builder \
.appName("App1") \
.config("hive.exec.local.scratchdir", local_scrtatchdir) \
.config("hive.exec.scratchdir", scrtatchdir) \
.config("spark.sql.warehouse.dir", warehouseLocation) \
.config("hadoop.tmp.dir", tmp_dir) \
.config("javax.jdo.option.ConnectionURL", metastore_db ) \
.config("javax.jdo.option.ConnectionDriverName", ConnectionDriverName) \
.enableHiveSupport() \
.getOrCreate()
print(os.listdir(warehouseLocation))
print(os.listdir(local_scrtatchdir))
print(os.listdir(scrtatchdir))
print(os.listdir(tmp_dir))
sc = SparkContext.getOrCreate()
sqlContext = SQLContext(sc)
HiveContext = HiveContext(sc)
spark.sql("CREATE DATABASE IF NOT EXISTS test")


Now this comes back with the following:


C:\Users\admin\PycharmProjects\pythonProject\venv\Scripts\python.exe
C:/Users/admin/PycharmProjects/pythonProject/main.py

Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties

Setting default log level to "WARN".

To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).

[]

[]

[]

['hive-localscratchdir', 'hive-scratchdir', 'hive-warehouse']

Traceback (most recent call last):

  File "C:/Users/admin/PycharmProjects/pythonProject/main.py", line 76, in


spark.sql("CREATE DATABASE IF NOT EXISTS test")

  File "D:\temp\spark\python\pyspark\sql\session.py", line 649, in sql

return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped)

  File "D:\temp\spark\python\lib\py4j-0.10.9-src.zip\py4j\java_gateway.py",
line 1305, in __call__

  File "D:\temp\spark\python\pyspark\sql\utils.py", line 134, in deco

raise_from(converted)

  File "", line 3, in raise_from

*pyspark.sql.utils.AnalysisException: java.lang.UnsatisfiedLinkError:
org.apache.hadoop.io.nativeio.NativeIO$Windows.createDirectoryWithMode0(Ljava/lang/String;I)V;*


Process finished with exit code 1

Also under %SPARK_HOME%/conf I also have hive-site.xml file. It is not
obvious to me why it is throwing this error?

Thanks


LinkedIn * 
https://www.linkedin.com/profile/view?id=AAEWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
*





*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any monetary damages arising from
such loss, damage or destruction.