# Hail on windows
**URL:** https://discuss.hail.is/t/hail-on-windows/1985
**Category:** Hail Query & hailctl
**Created:** [March 27, 2021, 3:44pm UTC](https://discuss.hail.is/t/hail-on-windows/1985 "2021-03-27T15:44:06Z")
**Posts on this page:** 15
**Page:** 1
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [March 27, 2021, 3:44pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/1 "2021-03-27T15:44:06Z")
I am currently using windows and wanted to use hail to run gwas and i downloaded python java and spark and set their paths as well and after importing hail, i wanted to initialize hail and got this error i have tried everything but failed. can anyone help please.
import hail as hl
hl.init()
error
Py4JJavaError: An error occurred while calling z:is.hail.backend.spark.SparkBackend.apply.
: java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
at is.hail.backend.spark.SparkBackend$.majorMinor$1(SparkBackend.scala:65)
at is.hail.backend.spark.SparkBackend$.checkSparkCompatibility(SparkBackend.scala:67)
at is.hail.backend.spark.SparkBackend$.createSparkConf(SparkBackend.scala:78)
at is.hail.backend.spark.SparkBackend$.configureAndCreateSparkContext(SparkBackend.scala:127)
at is.hail.backend.spark.SparkBackend$.apply(SparkBackend.scala:203)
at is.hail.backend.spark.SparkBackend.apply(SparkBackend.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Unknown Source
---
### Author:  [@danking](https://discuss.hail.is/u/danking)
#### Post date: [March 29, 2021, 3:32pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/2 "2021-03-29T15:32:55Z")
Hi @Zaki ,
I’m sorry you’re having trouble. We don’t officially support Windows. I suspect many things will not work. I can try to help you get `hl.init` to work.
Are you using the Windows Subsystem for Linux? What is the output of this:
```auto
python --version
java -version
echo %SPARK_HOME%
echo %PYTHONPATH%
which python
which java
python -m pip show hail
python -m pip show pyspark
```
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [March 30, 2021, 3:35pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/4 "2021-03-30T15:35:07Z")
**echo %PYTHONPATH%**
%PYTHONPATH%
it was just returnig pytpath so I tried
**where python**
C:\Users\Zaki\anaconda3\python.exe
**which python**
/c/Users/Zaki/anaconda3/python
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [March 30, 2021, 3:40pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/7 "2021-03-30T15:40:34Z")
Thank you Dan, for the response.
**python --version**
Python 3.7.10
**java -version**
java version “1.8.0\_291”
Java™ SE Runtime Environment (build 1.8.0\_291-b09)
Java HotSpot™ 64-Bit Server VM (build 25.291-b09, mixed mode)
**echo %SPARK\_HOME%**
C:\Spark\spark-3.1.1-bin-hadoop2.7
**echo %PYTHONPATH%**
%PYTHONPATH%
it was just returnig pytpath so I tried
**where python**
C:\Users\Zaki\anaconda3\python.exe
**which python**
/c/Users/Zaki/anaconda3/python
**which java**
/c/Program Files (x86)/Common Files/Oracle/Java/javapath/java
**python -m pip show hail**
Name: hail
Version: 0.2.64
Summary: Scalable library for exploring and analyzing genomic data.
Home-page: [https://hail.is](https://hail.is/)
Author: Hail Team
Author-email: [hail@broadinstitute.org](mailto:hail@broadinstitute.org)
License: UNKNOWN
Location: c:\users\zaki\anaconda3\lib\site-packages
Requires: parsimonious, aiohttp, decorator, asyncinit, requests, hurry.filesize, pandas, tqdm, aiohttp-session, google-cloud-storage, gcsfs, PyJWT, Deprecated, humanize, numpy, bokeh, dill, pyspark, python-json-logger, nest-asyncio, tabulate, scipy
Required-by:
**python -m pip show pyspark**
Name: pyspark
Version: 2.4.1
Summary: Apache Spark Python API
Home-page: [spark/python at master · apache/spark · GitHub](https://github.com/apache/spark/tree/master/python)
Author: Spark Developers
Author-email: [dev@spark.apache.org](mailto:dev@spark.apache.org)
License: [http://www.apache.org/licenses/LICENSE-2.0](http://www.apache.org/licenses/LICENSE-2.0)
Location: c:\users\zaki\anaconda3\lib\site-packages
Requires: py4j
Required-by: hail
---
### Author:  [@danking](https://discuss.hail.is/u/danking)
#### Post date: [March 30, 2021, 5:21pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/8 "2021-03-30T17:21:30Z")
> [@Zaki](#):
>
> **echo %SPARK\_HOME%**
This is the problem. Your spark home points at spark 3.1.1 but your pyspark is 2.4.1. How did you install Hail? Can you unset SPARK\_HOME?
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [March 30, 2021, 10:41pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/9 "2021-03-30T22:41:42Z")
Thank you very much Dan, Its working now.
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [March 31, 2021, 12:50pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/10 "2021-03-31T12:50:10Z")
Sorry to disturb you again but now I am facing another issue
**hl.plot.output\_notebook()**
BokehJS 1.4.0 successfully loaded.
**hl.utils.get\_1kg(‘data/’)**
Initializing Hail with default parameters… Running on Apache Spark version 2.4.1 SparkUI available at [http://DESKTOP-LLOVFTK:4040](http://desktop-llovftk:4040/) Welcome to \_\_ \_\_ \<\>\_\_ / /_/ /\_\_ \_\_/ / / \_\_ / \_ `/ / / /_/ /_/\_,_/_/_/ version 0.2.64-1ef70187dc78 LOGGING: writing to C:\Users\Zaki\hail-20210331-1328-0.2.64-1ef70187dc78.log 2021-03-31 13:28:45 Hail: INFO: downloading 1KG VCF … Source: [https://storage.googleapis.com/hail-tutorial/1kg.vcf.bgz](https://storage.googleapis.com/hail-tutorial/1kg.vcf.bgz)
FatalError: IllegalArgumentException: Wrong FS: file://C:\Users\Zaki\AppData\Local\Temp\tmpq\_djf\_jt\1kg.vcf.bgz, expected: file:///
Java stack trace:
java.lang.IllegalArgumentException: Wrong FS: file://C:\Users\Zaki\AppData\Local\Temp\tmpq\_djf\_jt\1kg.vcf.bgz, expected: file:///
at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:649)
at org.apache.hadoop.fs.RawLocalFileSystem.pathToFile(RawLocalFileSystem.java:82)
at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:606)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:824)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:601)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:421)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.(ChecksumFileSystem.java:142)
at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:346)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
at is.hail.io.fs.HadoopFS.openNoCompression(HadoopFS.scala:83)
at is.hail.io.fs.FS$class.copy(FS.scala:188)
at is.hail.io.fs.HadoopFS.copy(HadoopFS.scala:70)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Unknown Source)
Hail version: 0.2.64-1ef70187dc78
Error summary: IllegalArgumentException: Wrong FS: file://C:\Users\Zaki\AppData\Local\Temp\tmpq\_djf\_jt\1kg.vcf.bgz, expected: file:///
---
### Author:  [@danking](https://discuss.hail.is/u/danking)
#### Post date: [March 31, 2021, 2:05pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/11 "2021-03-31T14:05:08Z")
I think the only way to make this work is to install and use Hail inside the [Windows Subsystem for Linux](https://docs.microsoft.com/en-us/windows/wsl/about)
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [April 4, 2021, 12:15pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/12 "2021-04-04T12:15:11Z")
So, I installed ubuntu on my Virtual Machine and installed hail and other applications as java, g++ etc
and also set the paths for spark and java
when i run the command in jupyter notebook
**import hail as hl**
i get the following error
**---------------------------------------------------------------------------**
**TypeError Traceback (most recent call last)**
**in**
**----\> 1 import hail as hl**
**~/anaconda3/lib/python3.8/site-packages/hail/init.py in**
\*\* 32 # F401 ‘.expr.\*’ imported but unused\*\*
\*\* 33 # E402 module level import not at top of file\*\*
**—\> 34 from .table import Table, GroupedTable, asc, desc # noqa: E402**
\*\* 35 from .matrixtable import MatrixTable, GroupedMatrixTable # noqa: E402\*\*
\*\* 36 from .expr import \* # noqa: F401,F403,E402\*\*
**~/anaconda3/lib/python3.8/site-packages/hail/table.py in**
\*\* 2 import itertools\*\*
\*\* 3 import pandas\*\*
**----\> 4 import pyspark**
\*\* 5 from typing import Optional, Dict, Callable\*\*
\*\* 6 \*\*
**~/anaconda3/lib/python3.8/site-packages/pyspark/init.py in**
\*\* 49 \*\*
\*\* 50 from pyspark.conf import SparkConf\*\*
**—\> 51 from pyspark.context import SparkContext**
\*\* 52 from pyspark.rdd import RDD, RDDBarrier\*\*
\*\* 53 from pyspark.files import SparkFiles\*\*
**~/anaconda3/lib/python3.8/site-packages/pyspark/context.py in**
\*\* 29 from py4j.protocol import Py4JError\*\*
\*\* 30 \*\*
**—\> 31 from pyspark import accumulators**
\*\* 32 from pyspark.accumulators import Accumulator\*\*
\*\* 33 from pyspark.broadcast import Broadcast, BroadcastPickleRegistry\*\*
**~/anaconda3/lib/python3.8/site-packages/pyspark/accumulators.py in**
\*\* 95 import socketserver as SocketServer\*\*
\*\* 96 import threading\*\*
**—\> 97 from pyspark.serializers import read\_int, PickleSerializer**
\*\* 98 \*\*
\*\* 99 \*\*
**~/anaconda3/lib/python3.8/site-packages/pyspark/serializers.py in**
\*\* 69 xrange = range\*\*
\*\* 70 \*\*
**—\> 71 from pyspark import cloudpickle**
\*\* 72 from pyspark.util import \_exception\_message\*\*
\*\* 73 \*\*
**~/anaconda3/lib/python3.8/site-packages/pyspark/cloudpickle.py in**
\*\* 143 \*\*
\*\* 144 \*\*
**→ 145 \_cell\_set\_template\_code = \_make\_cell\_set\_template\_code()**
\*\* 146 \*\*
\*\* 147 \*\*
**~/anaconda3/lib/python3.8/site-packages/pyspark/cloudpickle.py in \_make\_cell\_set\_template\_code()**
\*\* 124 )\*\*
\*\* 125 else:\*\*
**→ 126 return types.CodeType(**
\*\* 127 co.co\_argcount,\*\*
\*\* 128 co.co\_kwonlyargcount,\*\*
**TypeError: an integer is required (got type bytes)**
---
### Author:  [@danking](https://discuss.hail.is/u/danking)
#### Post date: [April 5, 2021, 2:18pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/13 "2021-04-05T14:18:36Z")
Hey @Zaki , unfortunately, the currently released version of Hail does not support Python 3.8 because PySpark (a library on which we depend) does not support Python 3.8. Try [creating a Python 3.7 environment using Anaconda](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands).
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [April 5, 2021, 8:42pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/14 "2021-04-05T20:42:20Z")
Thank you @danking its working now but now when I run this command it shows me this error
hl.utils.get\_1kg(’/data’)
**021-04-05 21:34:58 Hail: INFO: downloading 1KG VCF …**
\*\* Source: [https://storage.googleapis.com/hail-tutorial/1kg.vcf.bgz\*\*](https://storage.googleapis.com/hail-tutorial/1kg.vcf.bgz**)
**2021-04-05 21:35:00 Hail: INFO: importing VCF and writing to matrix table…**
**2021-04-05 21:35:07 Hail: INFO: Coerced sorted dataset**
**---------------------------------------------------------------------------**
**FatalError Traceback (most recent call last)**
**in**
**----\> 1 hl.utils.get\_1kg(’/data’)**
**~/anaconda3/lib/python3.7/site-packages/hail/utils/tutorial.py in get\_1kg(output\_dir, overwrite)**
\*\* 80 cluster\_readable\_vcf = \_copy\_to\_tmp(fs, local\_path\_uri(tmp\_vcf), extension=‘vcf.bgz’)\*\*
\*\* 81 info(‘importing VCF and writing to matrix table…’)\*\*
**—\> 82 hl.import\_vcf(cluster\_readable\_vcf, min\_partitions=16).write(matrix\_table\_path, overwrite=True)**
\*\* 83 \*\*
\*\* 84 tmp\_sample\_annot = os.path.join(tmp\_dir, ‘1kg\_annotations.txt’)\*\*
**in write(self, output, overwrite, stage\_locally, \_codec\_spec, \_partitions)**
_~/anaconda3/lib/python3.7/site-packages/hail/typecheck/check.py in wrapper(\_\_original\_func, args, **kwargs)**
\*\* 575 def wrapper(original\_func, \*args, **kwargs):**
\*\* 576 args, kwargs = check\_all(\_\_original\_func, args, kwargs, checkers, is\_method=is\_method)
**→ 577 return original\_func(\*args, \*\*kwargs)**
\*\* 578 \*\*
\*\* 579 return wrapper_\*
**~/anaconda3/lib/python3.7/site-packages/hail/matrixtable.py in write(self, output, overwrite, stage\_locally, \_codec\_spec, \_partitions)**
\*\* 2526 \*\*
\*\* 2527 writer = ir.MatrixNativeWriter(output, overwrite, stage\_locally, \_codec\_spec, \_partitions, \_partitions\_type)\*\*
**→ 2528 Env.backend().execute(ir.MatrixWrite(self.\_mir, writer))**
\*\* 2529 \*\*
\*\* 2530 class \_Show:\*\*
**~/anaconda3/lib/python3.7/site-packages/hail/backend/py4j\_backend.py in execute(self, ir, timed)**
\*\* 96 raise HailUserError(message\_and\_trace) from None\*\*
\*\* 97 \*\*
**—\> 98 raise e**
**~/anaconda3/lib/python3.7/site-packages/hail/backend/py4j\_backend.py in execute(self, ir, timed)**
\*\* 72 # print(self.\_hail\_package.expr.ir.Pretty.apply(jir, True, -1))\*\*
\*\* 73 try:\*\*
**—\> 74 result = json.loads(self.\_jhc.backend().executeJSON(jir))**
\*\* 75 value = ir.typ.\_from\_json(result[‘value’])\*\*
\*\* 76 timings = result[‘timings’]\*\*
_~/anaconda3/lib/python3.7/site-packages/py4j/java\_gateway.py in **call** (self, args)
\*\* 1255 answer = self.gateway\_client.send\_command(command)_\*
\*\* 1256 return\_value = get\_return\_value(\*\*
**→ 1257 answer, self.gateway\_client, self.target\_id, self.name)**
\*\* 1258 \*\*
\*\* 1259 for temp\_arg in temp\_args:\*\*
_~/anaconda3/lib/python3.7/site-packages/hail/backend/py4j\_backend.py in deco(args, **kwargs)**
\*\* 30 raise FatalError(’%s\n\nJava stack trace:\n%s\n’
\*\* 31 ‘Hail version: %s\n’_\*
**—\> 32 ‘Error summary: %s’ % (deepest, full, hail.version, deepest), error\_id) from None**
\*\* 33 except pyspark.sql.utils.CapturedException as e:\*\*
\*\* 34 raise FatalError(’%s\n\nJava stack trace:\n%s\n’\*\*
**FatalError: IOException: Mkdirs failed to create /data/1kg.mt/rows/rows/parts (exists=false, cwd=file:/home/zaki)**
**Java stack trace:**
**org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 16, localhost, executor driver): java.io.IOException: Mkdirs failed to create /data/1kg.mt/rows/rows/parts (exists=false, cwd=file:/home/zaki)**
\*\* at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455)\*\*
\*\* at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:778)\*\*
\*\* at is.hail.io.fs.HadoopFS.createNoCompression(HadoopFS.scala:74)\*\*
\*\* at is.hail.io.fs.FS$class.create(FS.scala:151)\*\*
\*\* at is.hail.io.fs.HadoopFS.create(HadoopFS.scala:70)\*\*
\*\* at is.hail.io.RichContextRDDRegionValue$.writeSplitRegion(RichContextRDDRegionValue.scala:106)\*\*
\*\* at is.hail.rvd.RVD$$anonfun$29.apply(RVD.scala:938)\*\*
\*\* at is.hail.rvd.RVD$$anonfun$29.apply(RVD.scala:936)\*\*
\*\* at is.hail.sparkextras.ContextRDD$$anonfun$cmapPartitionsWithIndex$1$$anonfun$apply$18.apply(ContextRDD.scala:259)\*\*
\*\* at is.hail.sparkextras.ContextRDD$$anonfun$cmapPartitionsWithIndex$1$$anonfun$apply$18.apply(ContextRDD.scala:259)\*\*
\*\* at is.hail.utils.richUtils.RichContextRDD$$anonfun$cleanupRegions$1$$anonfun$2.apply(RichContextRDD.scala:62)\*\*
\*\* at is.hail.utils.richUtils.RichContextRDD$$anonfun$cleanupRegions$1$$anonfun$2.apply(RichContextRDD.scala:62)\*\*
\*\* at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)\*\*
\*\* at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)\*\*
\*\* at is.hail.utils.richUtils.RichContextRDD$$anonfun$cleanupRegions$1$$anon$1.hasNext(RichContextRDD.scala:71)\*\*
\*\* at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)\*\*
\*\* at scala.collection.Iterator$class.foreach(Iterator.scala:891)\*\*
\*\* at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)\*\*
\*\* at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)\*\*
\*\* at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)\*\*
\*\* at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)\*\*
\*\* at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)\*\*
\*\* at scala.collection.AbstractIterator.to(Iterator.scala:1334)\*\*
\*\* at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)\*\*
\*\* at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1334)\*\*
\*\* at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)\*\*
\*\* at scala.collection.AbstractIterator.toArray(Iterator.scala:1334)\*\*
\*\* at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)\*\*
\*\* at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)\*\*
\*\* at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)\*\*
\*\* at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)\*\*
\*\* at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)\*\*
\*\* at org.apache.spark.scheduler.Task.run(Task.scala:121)\*\*
\*\* at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:403)\*\*
\*\* at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)\*\*
\*\* at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:409)\*\*
\*\* at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\*\*
\*\* at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\*\*
\*\* at java.lang.Thread.run(Thread.java:748)\*\*
**Driver stacktrace:**
\*\* at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)\*\*
\*\* at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)\*\*
\*\* at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)\*\*
\*\* at scala.Option.foreach(Option.scala:257)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)\*\*
\*\* at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)\*\*
\*\* at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)\*\*
\*\* at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)\*\*
\*\* at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)\*\*
\*\* at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:737)\*\*
\*\* at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)\*\*
\*\* at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)\*\*
\*\* at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)\*\*
\*\* at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126)\*\*
\*\* at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:945)\*\*
\*\* at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\*\*
\*\* at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)\*\*
\*\* at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)\*\*
\*\* at org.apache.spark.rdd.RDD.collect(RDD.scala:944)\*\*
\*\* at is.hail.sparkextras.ContextRDD.collect(ContextRDD.scala:176)\*\*
\*\* at is.hail.rvd.RVD.writeRowsSplit(RVD.scala:953)\*\*
\*\* at is.hail.expr.ir.MatrixValue.write(MatrixValue.scala:246)\*\*
\*\* at is.hail.expr.ir.MatrixNativeWriter.apply(MatrixWriter.scala:62)\*\*
\*\* at is.hail.expr.ir.WrappedMatrixWriter.apply(MatrixWriter.scala:41)\*\*
\*\* at is.hail.expr.ir.Interpret$.run(Interpret.scala:819)\*\*
\*\* at is.hail.expr.ir.Interpret$.alreadyLowered(Interpret.scala:53)\*\*
\*\* at is.hail.expr.ir.InterpretNonCompilable$.interpretAndCoerce$1(InterpretNonCompilable.scala:16)\*\*
\*\* at is.hail.expr.ir.InterpretNonCompilable$.is$hail$expr$ir$InterpretNonCompilable$$rewrite$1(InterpretNonCompilable.scala:53)\*\*
\*\* at is.hail.expr.ir.InterpretNonCompilable$.apply(InterpretNonCompilable.scala:58)\*\*
\*\* at is.hail.expr.ir.lowering.InterpretNonCompilablePass$.transform(LoweringPass.scala:67)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPass$$anonfun$apply$3$$anonfun$1.apply(LoweringPass.scala:15)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPass$$anonfun$apply$3$$anonfun$1.apply(LoweringPass.scala:15)\*\*
\*\* at is.hail.utils.ExecutionTimer.time(ExecutionTimer.scala:81)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPass$$anonfun$apply$3.apply(LoweringPass.scala:15)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPass$$anonfun$apply$3.apply(LoweringPass.scala:13)\*\*
\*\* at is.hail.utils.ExecutionTimer.time(ExecutionTimer.scala:81)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPass$class.apply(LoweringPass.scala:13)\*\*
\*\* at is.hail.expr.ir.lowering.InterpretNonCompilablePass$.apply(LoweringPass.scala:62)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPipeline$$anonfun$apply$1.apply(LoweringPipeline.scala:14)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPipeline$$anonfun$apply$1.apply(LoweringPipeline.scala:12)\*\*
\*\* at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)\*\*
\*\* at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)\*\*
\*\* at is.hail.expr.ir.lowering.LoweringPipeline.apply(LoweringPipeline.scala:12)\*\*
\*\* at is.hail.expr.ir.CompileAndEvaluate$.\_apply(CompileAndEvaluate.scala:28)\*\*
\*\* at is.hail.backend.spark.SparkBackend.is$hail$backend$spark$SparkBackend$$\_execute(SparkBackend.scala:362)\*\*
\*\* at is.hail.backend.spark.SparkBackend$$anonfun$execute$1.apply(SparkBackend.scala:346)\*\*
\*\* at is.hail.backend.spark.SparkBackend$$anonfun$execute$1.apply(SparkBackend.scala:343)\*\*
\*\* at is.hail.expr.ir.ExecuteContext$$anonfun$scoped$1$$anonfun$apply$1.apply(ExecuteContext.scala:48)\*\*
\*\* at is.hail.expr.ir.ExecuteContext$$anonfun$scoped$1$$anonfun$apply$1.apply(ExecuteContext.scala:48)\*\*
\*\* at is.hail.utils.package$.using(package.scala:618)\*\*
\*\* at is.hail.expr.ir.ExecuteContext$$anonfun$scoped$1.apply(ExecuteContext.scala:48)\*\*
\*\* at is.hail.expr.ir.ExecuteContext$$anonfun$scoped$1.apply(ExecuteContext.scala:47)\*\*
\*\* at is.hail.utils.package$.using(package.scala:618)\*\*
\*\* at is.hail.annotations.RegionPool$.scoped(RegionPool.scala:13)\*\*
\*\* at is.hail.expr.ir.ExecuteContext$.scoped(ExecuteContext.scala:47)\*\*
\*\* at is.hail.backend.spark.SparkBackend.withExecuteContext(SparkBackend.scala:256)\*\*
\*\* at is.hail.backend.spark.SparkBackend.execute(SparkBackend.scala:343)\*\*
\*\* at is.hail.backend.spark.SparkBackend$$anonfun$7.apply(SparkBackend.scala:387)\*\*
\*\* at is.hail.backend.spark.SparkBackend$$anonfun$7.apply(SparkBackend.scala:385)\*\*
\*\* at is.hail.utils.ExecutionTimer$.time(ExecutionTimer.scala:52)\*\*
\*\* at is.hail.backend.spark.SparkBackend.executeJSON(SparkBackend.scala:385)\*\*
\*\* at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\*\*
\*\* at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)\*\*
\*\* at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\*\*
\*\* at java.lang.reflect.Method.invoke(Method.java:498)\*\*
\*\* at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\*\*
\*\* at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)\*\*
\*\* at py4j.Gateway.invoke(Gateway.java:282)\*\*
\*\* at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\*\*
\*\* at py4j.commands.CallCommand.execute(CallCommand.java:79)\*\*
\*\* at py4j.GatewayConnection.run(GatewayConnection.java:238)\*\*
\*\* at java.lang.Thread.run(Thread.java:748)\*\*
**java.io.IOException: Mkdirs failed to create /data/1kg.mt/rows/rows/parts (exists=false, cwd=file:/home/zaki)**
\*\* at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455)\*\*
\*\* at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789)\*\*
\*\* at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:778)\*\*
\*\* at is.hail.io.fs.HadoopFS.createNoCompression(HadoopFS.scala:74)\*\*
\*\* at is.hail.io.fs.FS$class.create(FS.scala:151)\*\*
\*\* at is.hail.io.fs.HadoopFS.create(HadoopFS.scala:70)\*\*
\*\* at is.hail.io.RichContextRDDRegionValue$.writeSplitRegion(RichContextRDDRegionValue.scala:106)\*\*
\*\* at is.hail.rvd.RVD$$anonfun$29.apply(RVD.scala:938)\*\*
\*\* at is.hail.rvd.RVD$$anonfun$29.apply(RVD.scala:936)\*\*
\*\* at is.hail.sparkextras.ContextRDD$$anonfun$cmapPartitionsWithIndex$1$$anonfun$apply$18.apply(ContextRDD.scala:259)\*\*
\*\* at is.hail.sparkextras.ContextRDD$$anonfun$cmapPartitionsWithIndex$1$$anonfun$apply$18.apply(ContextRDD.scala:259)\*\*
\*\* at is.hail.utils.richUtils.RichContextRDD$$anonfun$cleanupRegions$1$$anonfun$2.apply(RichContextRDD.scala:62)\*\*
\*\* at is.hail.utils.richUtils.RichContextRDD$$anonfun$cleanupRegions$1$$anonfun$2.apply(RichContextRDD.scala:62)\*\*
\*\* at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435)\*\*
\*\* at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441)\*\*
\*\* at is.hail.utils.richUtils.RichContextRDD$$anonfun$cleanupRegions$1$$anon$1.hasNext(RichContextRDD.scala:71)\*\*
\*\* at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)\*\*
\*\* at scala.collection.Iterator$class.foreach(Iterator.scala:891)\*\*
\*\* at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)\*\*
\*\* at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)\*\*
\*\* at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)\*\*
\*\* at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)\*\*
\*\* at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)\*\*
\*\* at scala.collection.AbstractIterator.to(Iterator.scala:1334)\*\*
\*\* at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)\*\*
\*\* at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1334)\*\*
\*\* at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)\*\*
\*\* at scala.collection.AbstractIterator.toArray(Iterator.scala:1334)\*\*
\*\* at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)\*\*
\*\* at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)\*\*
\*\* at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)\*\*
\*\* at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)\*\*
\*\* at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)\*\*
\*\* at org.apache.spark.scheduler.Task.run(Task.scala:121)\*\*
\*\* at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:403)\*\*
\*\* at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)\*\*
\*\* at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:409)\*\*
\*\* at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\*\*
\*\* at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\*\*
\*\* at java.lang.Thread.run(Thread.java:748)\*\*
**Hail version: 0.2.64-1ef70187dc78**
**Error summary: IOException: Mkdirs failed to create /data/1kg.mt/rows/rows/parts (exists=false, cwd=file:/home/zaki)**
---
### Author:  [@danking](https://discuss.hail.is/u/danking)
#### Post date: [April 5, 2021, 8:50pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/15 "2021-04-05T20:50:53Z")
You’re asking it to download the data to `/data`, meaning the root of your filesystem. In Windows terms that’s like trying to write to `C:\data`. Normal users aren’t allowed to do that. Note that the tutorial [downloads the data to `data/`](https://hail.is/docs/0.2/tutorials/01-genome-wide-association-study.html#Download-public-1000-Genomes-data).
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [April 6, 2021, 11:37am UTC](https://discuss.hail.is/t/hail-on-windows/1985/16 "2021-04-06T11:37:04Z")
So, what do you suggest i should do.
---
### Author:  [@danking](https://discuss.hail.is/u/danking)
#### Post date: [April 6, 2021, 1:19pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/17 "2021-04-06T13:19:55Z")
Try removing the “/“ in the command you ran:
```auto
hl.utils.get_1kg('data')
```
---
### Author:  [@Zaki](https://discuss.hail.is/u/Zaki)
#### Post date: [April 6, 2021, 4:21pm UTC](https://discuss.hail.is/t/hail-on-windows/1985/18 "2021-04-06T16:21:40Z")
Thank you @danking its working perfectly now. 👍