gpudb | Accelerate database with GPU | GPU library

by kay21s Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | gpudb Summary

gpudb is a Python library typically used in Hardware, GPU applications. gpudb has no bugs, it has no vulnerabilities and it has low support. However gpudb build file is not available. You can download it from GitHub.

Accelerate database with GPU

Support

Quality

Security

License

Reuse

Support

gpudb has a low active ecosystem.

It has 14 star(s) with 15 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

gpudb has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gpudb is current.

Quality

gpudb has no bugs reported.

Security

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

License

gpudb does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

gpudb releases are not available. You will need to build from source code and install.

gpudb has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed gpudb and discovered the below as its top functions. This is intended to give you an instant insight into gpudb implemented functionality, and help decide if they suit your requirements.

Parse the string .
Generate code .
generate column index
Convert a list of tokens to a YieldTree .
function to apply column filtering
Calculate the job flow correlation .
Generate load .
process from_list
Push the WHERE clause down to the WHERE clause .
Find the input correlation correlation .

Get all kandi verified functions for this library.

gpudb Key Features

No Key Features are available at this moment for gpudb.

gpudb Examples and Code Snippets

No Code Snippets are available at this moment for gpudb.

Community Discussions

Trending Discussions on gpudb

How to change domain / ip address of a Kinetica GPUDB Kagent and Gadmin instance after it is deployed?

Python Web Scraper/Crawler - HTML Tables to Excel Spreadsheet

Kubernetes deployment not auto-terminating after successful run of command

How to fetch records from gpudb(kinetica) tables using command line interface

How do I web scrape the sub-headers from this link?

QUESTION

How to change domain / ip address of a Kinetica GPUDB Kagent and Gadmin instance after it is deployed?

Asked 2020-Jul-28 at 14:23

I have a fresh Kinetica deployment that was super easy via Kagent GUI on a new VM. The domain I used is no longer available, so I wanted to change it back to a local ip address.

I was able to change the domain to an ip address in gpudb.conf under /opt/gpudb/core/etc/ as outlined in the docs here, but I am getting errors in gadmin in the SQL query window that is pointing to the old domain still. The domain has to be set somewhere else in the configuration files, but I can't figure out where.

...

ANSWER

Answered 2020-Jul-28 at 14:23

It turns out that the domain that is set initially during first deploy via Kagent or for a manual install is set inside Tomcat configuration files at /opt/gpudb/tomcat/webapps/gadmin/WEB-INF/classes/gaia.properties. Once you change this to whatever new value you want, then sudo /etc/init.d/gpudb restart all, everything works fine again.

Source https://stackoverflow.com/questions/63136369

QUESTION

Python Web Scraper/Crawler - HTML Tables to Excel Spreadsheet

Asked 2019-Mar-19 at 20:05

I'm trying to make a web scraper that will pull tables from a website and then paste them onto an excel spreadsheet. I'm an EXTREME beginner at Python (and coding in general) - literally started learning a couple days ago.

So, how do I make this web scraper/crawler? Here's the code that I have:

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ANSWER

Answered 2017-Jul-13 at 03:53

Essentially, you just need to modify the code you have in your question to account for the fact the site has several tables!

What is really neat (or, dare I say, beautiful) about BeautifulSoup (BS) is the findAll method! This creates a BS object that you can iterate over!

So, say you have 5 tables in your source. You could conceivably run tables = soup.findAll("table"), which would return a list of every table object in the source's code! You could then iterate over that BS object and pull information out of each respective table.

Your code could look something like this:

Source https://stackoverflow.com/questions/45070818

QUESTION

Kubernetes deployment not auto-terminating after successful run of command

Asked 2018-Oct-12 at 16:18

I have a Kubernetes cluster in which I've created a deployment to run a pod. Unfortunately after running it the pod does not want to self-terminate, instead it enters a continuous state of restart/CrashLoopBackOff cycle.

The command (on the entry point) runs correctly when first deployed, and I want it to run only one time.

I am programatically deploying the docker image with the entrypoint configured, using the Python K8s API. Here is my deployment YAML:

...

ANSWER

Answered 2018-Oct-12 at 16:18

If you'd like to run your task one time and finish after a successful completion you should consider using Kubernetes Jobs or CronJobs

Something like this:

Source https://stackoverflow.com/questions/52763522

QUESTION

How to fetch records from gpudb(kinetica) tables using command line interface

Asked 2018-Sep-17 at 07:16

I am trying to connect to gpudb tables but getting below exception.

The command which i used to connect to gpudb tables is:

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ANSWER

Answered 2018-Sep-17 at 07:16

This can be solved using the code below:

Source https://stackoverflow.com/questions/47069454

QUESTION

How do I web scrape the sub-headers from this link?

Asked 2017-Jul-24 at 17:52

I've made a web scraper that scrapes data from pages that look like this (it scrapes the tables): https://www.techpowerup.com/gpudb/2/

The problem is that my program, for some reason, is only scraping the values, and not the subheaders. For instance, (click on the link), it only scrapes the "R420", "130nm", "160 million", etc. but not the "GPU Name", "Process Size", "Transistors" etc.

What do I add to the code to get it to scrape the subheaders? Here's my code:

...

ANSWER

Answered 2017-Jul-24 at 17:52

if you check the page source, those cells are header cells. So they are not using TD tags but TH tags. you may want to update your loop to include TH cells alongside TD cells.

Source https://stackoverflow.com/questions/45286872

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

Vulnerabilities

No vulnerabilities reported

Install gpudb

You can download it from GitHub.
You can use gpudb like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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