vcore | Common , utility packages for Go
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Common, utility packages for Go
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QUESTION
I'm trying to run a curl command in azure devops bash script task, where I'm trying to upload a jar from artifact path.
I'm able to run it successfully while giving static file path in curl command, but how can we pass file path dynamically ?
...ANSWER
Answered 2021-Jun-11 at 13:39Try using the filename in variable as shown below. Notice the {} around variable. Ensure that your ls command returns only 1 file. For multiple files use multiple -F arguments.
Sample test data:
QUESTION
I created a large spark notebook and ran it successfully in Azure Synapse. Then I created a new pipeline with a new notebook activity pointing to the existing spark notebook. I triggered it and it failed with the error message:
...ANSWER
Answered 2021-Jun-02 at 21:19I was able to import that .csv with the following Python code on a small Spark pool:
QUESTION
This seems very likely to be some sort of an Azure SQL issue, but I can't figure out what's going on. I have some code that reads data from a SQL function like this:
...ANSWER
Answered 2021-May-18 at 13:38As you said if you are facing parameter sniffing in SQL Server. One query, two plans depending on parameters, it's parameter sniffing. As this post said
QUESTION
I am trying to do a simple read and count of a small parquet file (10K records) using dask-yarn
on an AWS EMR cluster with one master and one worker node, both are m5.xlarge
instances.
I am trying to execute the following code just to test my cluster:
...ANSWER
Answered 2021-Apr-29 at 12:43Your dask and distributed versions have gone out of sync, 2021.4.0 versus 2021.4.1. Updating dask should fix this. Note that you need to ensure that the exact same versions are also in the environment you are using for YARN.
QUESTION
I am working on a code for thermal testing, the code needs to get every 10 seconds information from the following command racadm getsensorinfo
I want to keep the information as a dictionary so that every 10 seconds I will write the relevant information to a csv file. I have tried several ways but I am unable to reach the relevant result
This is the output I'm trying to make a dictionary:
...ANSWER
Answered 2021-Apr-07 at 19:07You can use re
module to parse the string (regex101):
QUESTION
I have a MIPS system (VSC7427) with u-boot and I am trying to boot a more recent kernel than the kernel provided by the vendor in their GPL release (which boots just fine).
The kernel FIT image appears to be sane, and judging by the output I think it should be bootable:
...ANSWER
Answered 2021-Apr-06 at 21:03The final problem you run in to:
ERROR: new format image overwritten - must RESET the board to recover
is because you've loaded the image in to memory in the same location as the entry point but you need to load it in to memory somewhere else so that U-Boot can unpack the image and put the contents where their load address is set to. Since you have 128MB of memory you should be able to put it at +32 or +64MB from start and then things should work.
QUESTION
So I have this file on HDFS but apparently HDFS can't find it and I don't know why.
The piece of code I have is:
...ANSWER
Answered 2021-Apr-05 at 13:37The getSchema() method that works is:
QUESTION
Im currently setting up a new MongoDB ops manager machine. Installation works fine but I can't start the mongodb-mms service. The starting of Instance 0 fails with an java.lang.OutOfMemoryError exception. I use the same configuration as on my test server (2 CPU cores, 8gb ram), there the service starts without any interrupt. Changing the ulimit configuration / starting the service with root user has no effect.
New Server specs:
- 10 Vcores at 2.0Ghz
- 48gb Ram
- 800gb storage
- Ubuntu 18.04 LTS 64bit
Since the new server is shared with others is it possible that the host limited the cpu usage per user?
mms0.log:
...ANSWER
Answered 2021-Mar-29 at 23:08SUGGESTION: focus on your JVM;
- Ensure you have a 64-bit version of Java
- Try tuning your JVM parameters:
https://docs.opsmanager.mongodb.com/current/reference/troubleshooting/system/
Open mms.conf in your preferred text editor.
Find this line:
QUESTION
I am trying to load 1 million records from Delta table in Databricks to Azure SQL database using the recently released connector by Microsoft supporting Python API and Spark 3.0.
Performance does not really look awesome to me. It takes 19 minutes to load 1 million records. Below is the code which I am using. Do you think I am missing something here?
Configurations: 8 Worker nodes with 28GB memory and 8 cores. Azure SQL database is a 4 vcore Gen5 .
...ANSWER
Answered 2021-Mar-06 at 12:55Repartition the data frame. Earlier I had single partition on my source data frame which upon re-partition to 8 helped improve the performance.
QUESTION
I have installed hadoop 3.1.0 clusters on 4 linux machines, hadoop1(master),hadoop2,hadoop3,and hadoop4.
I ran start-dfs.sh
and start-yarn.sh
, and saw only namenodes and datanodes running with jps
. secondary namenodes, nodemanagers and resourcemanagers failed. I tried a few solutions and this is where I got. How to configure and start secondary namenodes, nodemanagers and resroucemanagers?
About secondary namenodes logs says
...ANSWER
Answered 2021-Feb-22 at 08:50I had jdk15.0.2 installed and it had some sort of problem with hadoop 3.1.0. Later I installed jdk8 and changed java_home. It went all fine!
About secondary node manager, I had hadoop1:9000 for both fs.defaultFS and dfs.namenode.secondary.http-address, and therefore created a conflict. I changed secondary into 9001 and it went all fine!
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