ghfs | 9p GitHub filesystem written in Go for use with Plan | Continuous Deployment library

by sirnewton01 Go Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | ghfs Summary

ghfs is a Go library typically used in Devops, Continuous Deployment, React, Docker applications. ghfs has no bugs, it has no vulnerabilities and it has low support. However ghfs has a Non-SPDX License. You can download it from GitHub.

9p GitHub filesystem written in Go for use with Plan 9/p9p

Support

Quality

Security

License

Reuse

Support

ghfs has a low active ecosystem.

It has 64 star(s) with 2 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 25 have been closed. On average issues are closed in 15 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ghfs is current.

Quality

ghfs has no bugs reported.

Security

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

License

ghfs has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Basic example of github
Unmarshal decodes a blackfriday node tree into v .
Marshal marshals fn to string
Rwalk walks the file tree rooted at paths .
NewOwnerHandler creates a new owner handler for the given owner
NewServer returns a new server .
NewIssuesHandler creates a new IssuesHandler .
NewIssue creates a new issue
NewIssuesCtl creates a new IssuesCtl
NewRepoReadmeHandler creates a new repo readme handler

Get all kandi verified functions for this library.

ghfs Key Features

No Key Features are available at this moment for ghfs.

ghfs Examples and Code Snippets

No Code Snippets are available at this moment for ghfs.

Community Discussions

Trending Discussions on ghfs

GCS Connector in a non cloud environment

AWS S3 access issue when using qubole/streamx on AWS EMR

Avoid Google Dataproc logging

Move data from google cloud storage to S3 using dataproc hadoop cluster and airflow

Submitting Pig job from Google Cloud Dataproc does not add custom jars to Pig classpath

How to read simple text file from Google Cloud Storage using Spark-Scala local Program

(bdutil) Unable to get hadoop/spark cluster working with a fresh install

QUESTION

GCS Connector in a non cloud environment

Asked 2020-Aug-18 at 06:59

I have installed GCS connector of hadoop 3 version and added the below config to core-site.xml as described in Install.md . The intention is to migrate data from hdfs in local cluster to cloud storage.

core-site.xml

...

ANSWER

Answered 2020-Aug-17 at 22:42

The stack trace about Delegation Tokens are not configured is actually a red herring. If you read the GCS connector code here, you will see the connector will always try to configure delegation token support, but if you do not specify the binding through fs.gs.delegation.token.binding the configuration will fail, but the exception you see in the trace gets swallowed.

Now as to why your command fails, I wonder if you have a typo in your configuration file:

Source https://stackoverflow.com/questions/63452600

QUESTION

AWS S3 access issue when using qubole/streamx on AWS EMR

Asked 2018-Sep-26 at 12:22

I am using qubole/streamx as a kafka sink connector to consume data in kafka and store them in AWS S3. I created a user in AIM and permission is AmazonS3FullAccess. Then set key ID and key in hdfs-site.xml which dir is assign in quickstart-s3.properties.

configuration like below:

quickstart-s3.properties:

...

ANSWER

Answered 2017-Feb-16 at 07:30

The region which I used is cn-north-1. Need specify region info in hdfs-site.xml like below, otherwise it will connect to s3.amazonaws.cn as default.

Source https://stackoverflow.com/questions/42224178

QUESTION

Avoid Google Dataproc logging

Asked 2018-Jul-31 at 15:22

I'm performing millions of operations using Google Dataproc with one problem, the logging data size. I do not perform any show or any other kind of print, but the 7 lines of INFO, multiplied by millions gets a really big logging size.

Is there any way to avoid Google Dataproc from logging?

Already tried without success in Dataproc:

https://cloud.google.com/dataproc/docs/guides/driver-output#configuring_logging

These are the 7 lines I want to get rid off:

18/07/30 13:11:54 INFO org.spark_project.jetty.util.log: Logging initialized @...

18/07/30 13:11:55 INFO org.spark_project.jetty.server.Server: ....z-SNAPSHOT

18/07/30 13:11:55 INFO org.spark_project.jetty.server.Server: Started @...

18/07/30 13:11:55 INFO org.spark_project.jetty.server.AbstractConnector: Started ServerConnector@...

18/07/30 13:11:56 INFO com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystemBase: GHFS version: ...

18/07/30 13:11:57 INFO org.apache.hadoop.yarn.client.RMProxy: Connecting to ResourceManager at ...

18/07/30 13:12:01 INFO org.apache.hadoop.yarn.client.api.impl.YarnClientImpl: Submitted application application_...

...

ANSWER

Answered 2018-Jul-31 at 15:22

What you are looking for is an exclusion filter: you need to browse from your Console to Stackdriver Logging > Logs ingestion > Exclusions and click on "Create exclusion". As explained there:

To create a logs exclusion, edit the filter on the left to only match logs that you do not want to be included in Stackdriver Logging. After an exclusion has been created, matched logs will no longer be accessible in Stackdriver Logging.

In your case, the filter should be something like this:

Source https://stackoverflow.com/questions/51595496

QUESTION

Move data from google cloud storage to S3 using dataproc hadoop cluster and airflow

Asked 2018-Jan-18 at 10:29

I am trying to transfer a large quantity of data from GCS to S3 bucket. I have spun up a hadoop cluster using Google DataProc.

I am able to run the job via the Hadoop CLI using the following:

...

ANSWER

Answered 2018-Jan-12 at 15:01

Why are you using dataproc? Would not a gsutil command be simpler?

eg:

Source https://stackoverflow.com/questions/48211357

QUESTION

Submitting Pig job from Google Cloud Dataproc does not add custom jars to Pig classpath

Asked 2017-Mar-30 at 17:58

I'm trying to submit a Pig job via Google Cloud Dataproc and include a custom jar that implements a custom load function I use in the Pig script, but I can't find out how to do that.

Adding my custom jar through the UI appears DOES NOT add it to the Pig classpath.

Here's the output of the Pig job, showing it fails to find my class:

...

ANSWER

Answered 2017-Mar-30 at 17:58

Registering the custom jar inside the Pig script solves the problem. So, basically:

Added my jar file to Google Storage
Registered the jar inside the script
Submitted Pig job either via UI or command line below:

gcloud dataproc jobs submit pig --cluster eduboom-central --file custom.pig --jars=gs://eduboom-dataproc/custom/eduboom.jar

custom.pig:

Source https://stackoverflow.com/questions/43099311

QUESTION

How to read simple text file from Google Cloud Storage using Spark-Scala local Program

Asked 2017-Mar-07 at 08:01

As given in the below blog,

https://cloud.google.com/blog/big-data/2016/06/google-cloud-dataproc-the-fast-easy-and-safe-way-to-try-spark-20-preview

I was trying to read file from Google Cloud Storage using Spark-scala. For that I have imported Google Cloud Storage Connector and Google Cloud Storage as below,

...

ANSWER

Answered 2017-Mar-04 at 04:31

You need to set google.cloud.auth.service.account.json.keyfile to the local path of a json credential file for a service account you create following these instructions for generating a private key. The stack trace shows the connector thinks its on a GCE VM and is trying to obtain a credential from a local metadata server. If that doesn't work, try setting fs.gs.auth.service.account.json.keyfile instead.

When trying to SSH, have you tried gcloud compute ssh ? You may also need to check your Compute Engine firewall rules to make sure you're allowing inbound connections on port 22.

Source https://stackoverflow.com/questions/42534841

QUESTION

(bdutil) Unable to get hadoop/spark cluster working with a fresh install

Asked 2017-Feb-13 at 16:11

I'm setting up a tiny cluster in GCE to play around with it but although instances are created some failures prevent to get it working. I'm following the steps in https://cloud.google.com/hadoop/downloads

So far I'm using (as of now) lastest versions of gcloud (143.0.0) and bdutil (1.3.5), freshly installed.

...

ANSWER

Answered 2017-Feb-10 at 17:02

The last version of bdutil on https://cloud.google.com/hadoop/downloads is a bit stale and I'd instead recommend using the version of bdutil at head on github: https://github.com/GoogleCloudPlatform/bdutil.

Source https://stackoverflow.com/questions/42164316

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

Vulnerabilities

No vulnerabilities reported

Install ghfs

You can download it from GitHub.

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 .

Find more information at: