vcore | Common , utility packages for Go

 by   Vernacular-ai Go Version: v0.3.9 License: Apache-2.0

kandi X-RAY | vcore Summary

kandi X-RAY | vcore Summary

vcore is a Go library typically used in Logging applications. vcore has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Common, utility packages for Go
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              vcore has a low active ecosystem.
              It has 13 star(s) with 0 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              vcore has no issues reported. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of vcore is v0.3.9

            kandi-Quality Quality

              vcore has no bugs reported.

            kandi-Security Security

              vcore has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              vcore is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              vcore releases are available to install and integrate.

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            vcore Key Features

            No Key Features are available at this moment for vcore.

            vcore Examples and Code Snippets

            No Code Snippets are available at this moment for vcore.

            Community Discussions

            QUESTION

            Regarding file upload parameter in curl command
            Asked 2021-Jun-11 at 13:39

            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 13:39

            Try 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:

            Source https://stackoverflow.com/questions/67933010

            QUESTION

            What is the Flow Run Size Limit of a notebook activity in Azure Synapse?
            Asked 2021-Jun-02 at 21:19

            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 21:19

            I was able to import that .csv with the following Python code on a small Spark pool:

            Source https://stackoverflow.com/questions/67796391

            QUESTION

            C# reading from Azure SQL function extremely slow
            Asked 2021-May-26 at 10:32

            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 13:38

            As 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

            Source https://stackoverflow.com/questions/67566184

            QUESTION

            dask-yarn job fails with dumps_msgpack ImportError while reading parquet
            Asked 2021-Apr-29 at 13:56

            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 12:43

            Your 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.

            Source https://stackoverflow.com/questions/67309204

            QUESTION

            Python output result to dictionary
            Asked 2021-Apr-07 at 19:07

            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 19:07

            You can use re module to parse the string (regex101):

            Source https://stackoverflow.com/questions/66991337

            QUESTION

            u-boot: cannot boot linux kernel despite kernel being less than maximum BOOTM_LEN
            Asked 2021-Apr-07 at 16:53

            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 21:03

            The 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.

            Source https://stackoverflow.com/questions/66950536

            QUESTION

            Why it says "(No such file or directory)" when using the file stored in HDFS?
            Asked 2021-Apr-05 at 13:37

            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 13:37

            The getSchema() method that works is:

            Source https://stackoverflow.com/questions/66943071

            QUESTION

            MongoDB ops manager "java.lang.OutOfMemoryError: unable to create native thread"
            Asked 2021-Mar-29 at 23:08

            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 23:08

            SUGGESTION: 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/

            1. Open mms.conf in your preferred text editor.

            2. Find this line:

            Source https://stackoverflow.com/questions/66845677

            QUESTION

            Performance issues in loading data from Databricks to Azure SQL
            Asked 2021-Mar-06 at 12:55

            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 12:55

            Repartition the data frame. Earlier I had single partition on my source data frame which upon re-partition to 8 helped improve the performance.

            Source https://stackoverflow.com/questions/66359876

            QUESTION

            hadoop installation, to start secondary namenode, nodemanagers, and resource managers
            Asked 2021-Feb-22 at 08:50

            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 08:50

            I 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!

            Source https://stackoverflow.com/questions/66289226

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install vcore

            You can download it from GitHub.

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