I've backed up the registry tree containing the disk cleanup parameters ([HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Explorer\VolumeCaches]), and I want to be able to restore that registry tree via a batch script.
Can it be done in this manner?
reg import
http://technet.microsoft.com/en-us/library/cc742021(WS.10).aspx
Related
I created and tested multiple times a python wheel on my local machine and on Azure Databricks as a Job and it worked fine.
Now, I'm trying to create an Azure Data Factory Pipeline that triggers the wheel stored in Azure Databricks (dbfs:/..) everytime a new file is stored in a blob storage container.
The wheel takes a parameter (-f) and the values is new file name. I passed it to the wheel using argparse inside the script.py and parameters section of databricks job in the previous tests.
I created the pipeline and setted two parameters param and value that I want to pass to the wheel whose values are -f and new-file.txt. See image here
Then I created a Databricks Python file in ADF workspace and paste wheel path into Python file section. Now I'm wondering if this is the right way to do this.
I passed the parametes in the way you can see in the image below and I didn't add any library as I've already attacched the wheel in the upper section (I've tried to add the wheel also as library but notthing changed). See image here
I've created the trigger for blob storage and I've checked that in the trigger json file the parameters exists. Trying to trigger the pipeline I received this error: See image here
I checked if there are errors in code and I changed to UTF-8 the encoding as suggested in other questions of the community but notthing changes.
At this point, I think that I didn't trigger correctly the blob storage or the wheel can't be attached in the way I've done. I didn't add other resources in the workspace, hence I've only Databricks Python file.
Any advice is really appreciate,
thanks for the help!
If I understand your goal is to launch a wheel package from a databricks python notebook using Azure data factory and calling the notebook via the activity python databricks.
I think the problem that you are facing would be when calling the python wheel from the notebook.
Here is an example that I tried to use which is close to your needs and it worked fine.
I created a hello.py script and put it on the path /dbfs/FileStore/jars/
Here is the content of hello.py (just prints the provided arguments)
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-f', help='file', type=str)
args = parser.parse_args()
print('You provided the value : ', args.f)
I created a python notebook on databricks that takes arguments and passes them to the hello.py script.
This code defines the parameter that the notebook can take (which refers to the parameters you pass via Azure Data Factory while calling the activity databricks)
dbutils.widgets.text("value", "new_file.txt")
dbutils.widgets.text("param", "-f")
This code retrieves the parameters passed to the databricks notebook
param = dbutils.widgets.get("param")
value = dbutils.widgets.get("value")
And finally we call the python hello.py script to execute our custom code as follows :
!python /dbfs/FileStore/jars/hello.py $param $value
Pay attention to the ! at the begining.
Hope this helps your needs and don't forget to mark the answer :) .
I am able to delete a file of a particular extension from the directory /databricks/driver using the bash command in databricks.
%%bash
rm /databricks/driver/file*.xlsx
But I am unable to figure out, how to access and delete a file outside of dbfs in a python script,
I think using dbutils we cannot access files outside of DBFS and the below command outputs False as its looking in DBFS.
dbutils.fs.rm("/databricks/driver/file*.xlsx")
I am eager to be corrected.
Not sure how to do it using dbutils but I am able to delete it using glob
import os
from glob import glob
for file in glob('/databricks/driver/file*.xlsx'):
os.remove(file)
When I use sqoop import with target-dir parameter I have result in some folder with parts files and _SUCCESS file. How can I manage permission for this folder and files when I use sqoop. I know, we can change permissin after import, but I need to manage permission when I use only sqoop.
Ps. I am running sqoop from oozie workflow, probably I can use it to specify permissions.
I would like to capture the output of some variables to be used elsewhere in the job using Jenkins Powershell plugin.
Is this possible?
My goal is to build the latest tag somehow and the powershell script was meant to achieve that, outputing to a text file would not help and environment variables can't be used because the process is seemingly forked unfortunately
Besides EnvInject the another common approach for sharing data between build steps is to store results in files located at job workspace.
The idea is to skip using environment variables altogether and just write/read files.
It seems that the only solution is to combine with EnvInject plugin. You can create a text file with key value pairs from powershell then export them into the build using the EnvInject plugin.
You should make the workspace persistant for this job , then you can save the data you need to file. Other jobs can then access this persistant workspace or use it as their own as long as they are on the same node.
Another option would be to use jenkins built in artifact retention, at the end of the jobs configure page there will be an option to retain files specified by a match (e.g *.xml or last_build_number). These are then given a specific address that can be used by other jobs regardless of which node they are on , the address can be on the master or the node IIRC.
For the simple case of wanting to read a single object from Powershell you can convert it to a JSON string in Powershell and then convert it back in Groovy. Here's an example:
def pathsJSON = powershell(returnStdout: true, script: "ConvertTo-Json ((Get-ChildItem -Path *.txt) | select -Property Name)");
def paths = [];
if(pathsJSON != '') {
paths = readJSON text: pathsJSON
}
Using AzCopy.exe, I am able to copy over an entire container successfully. However, I cannot figure out how to copy over a blob where the name includes a folder structure. I have tried the following:
.\AzCopy.exe /Source:https://sourceaccount.blob.core.windows.net/container /Dest:https://destaccount.blob.core.windows.net/container /SourceKey:sourceKey== /DestKey:destKey== /S /Pattern:CorruptZips/2013/6
While also changing the /Pattern: to things like:
/Pattern:CorruptZips/2013/6/*
/Pattern:CorruptZips/2013/6/.
/Pattern:CorruptZips/2013/6/
And everything just says that there are zero records copied. Can this be done or is it just for container/file copying? Thank you.
#naspinski, there is the other tool named Azure Data Factory which can help copying a folder from a blob storage account to another one. Please refer to the article Move data to and from Azure Blob using Azure Data Factory to know it and follow the steps below to do.
Create a Data Factory on Azure portal.
Click the Copy Data button as below to move to the powercopytool interface, and follow the tips to copy the folder step by step.
Took me a few tries to get this. Here is the key:
If the specified source is a blob container or virtual directory, then
wildcards are not applied.
In other words, you can't wildcard copy files nested in a folder structure in a container. You have two options:
Use /S WITHOUT a pattern to recursive copy everything
Use /S and specify the full file path in your pattern without a wildcard
Example:
C:\Users\myuser>azcopy /Source:https://source.blob.core.windows.net/system /Dest:https://dest.blob.core.windows.net/system /SourceKey:abc /DestKey:xyz /S /V /Pattern:"Microsoft.Compute/Images/vmimage/myimage.vhd"
EDIT: Oops, my answer was worded incorrectly!
Please specify the command without /S:
AzCopy /Source:https://myaccount.blob.core.windows.net/mycontainer1 /Dest:https://myaccount.blob.core.windows.net/mycontainer2 /SourceKey:key /DestKey:key /Pattern:abc.txt
You can find the information from "Copy single blob within Storage account" in http://aka.ms/azcopy .