monsoon | Unlimited * cloud storage | Storage library

by raymondjacobson Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | monsoon Summary

monsoon is a Python library typically used in Storage, Vue, Nodejs applications. monsoon has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Unlimited cloud storage. Automagically infinite space to organize your content.

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Quality

Security

License

Reuse

Support

monsoon has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 2479 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of monsoon is current.

Quality

monsoon has 0 bugs and 0 code smells.

Security

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

monsoon code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

monsoon is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 169 lines of code, 17 functions and 6 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Generate a new account
Save account into database
Gets the suggested email address
Generate a random password
Determine if a new account should be created
Return the most recent account

Get all kandi verified functions for this library.

monsoon Key Features

No Key Features are available at this moment for monsoon.

monsoon Examples and Code Snippets

No Code Snippets are available at this moment for monsoon.

Community Discussions

Trending Discussions on monsoon

How to run spark 3.2.0 on google dataproc?

R: Splitting a Time Series into custom seasons

PySpark runs in YARN client mode but fails in cluster mode for "User did not initialize spark context!"

How to reduce the empty space between the columns of a multiple plot layout?

How to select DJFM season instead of xarray groupby

Can run code in pyspark shell but the same code fails when submitted with spark-submit

Turn Koeppen Climate Legend into meaningful csv with regex

Why is the pyspark code not parallelizing to all the executors?

Getting one row insted of multiple rows when using query statment inside in() at where clause

How to create a class instance in Observer pattern?

QUESTION

How to run spark 3.2.0 on google dataproc?

Asked 2022-Mar-10 at 11:46

Currently, google dataproc does not have spark 3.2.0 as an image. The latest available is 3.1.2. I want to use the pandas on pyspark functionality that spark has released with 3.2.0.

I am doing the following steps to use spark 3.2.0

Created an environment 'pyspark' locally with pyspark 3.2.0 in it
Exported the environment yaml with conda env export > environment.yaml
Created a dataproc cluster with this environment.yaml. The cluster gets created correctly and the environment is available on master and all the workers
I then change environment variables. export SPARK_HOME=/opt/conda/miniconda3/envs/pyspark/lib/python3.9/site-packages/pyspark (to point to pyspark 3.2.0), export SPARK_CONF_DIR=/usr/lib/spark/conf (to use dataproc's config file) and, export PYSPARK_PYTHON=/opt/conda/miniconda3/envs/pyspark/bin/python (to make the environment packages available)

Now if I try to run the pyspark shell I get:

...

ANSWER

Answered 2022-Jan-15 at 07:17

One can achieve this by:

Create a dataproc cluster with an environment (your_sample_env) that contains pyspark 3.2 as a package
Modify /usr/lib/spark/conf/spark-env.sh by adding

Source https://stackoverflow.com/questions/70254378

QUESTION

R: Splitting a Time Series into custom seasons

Asked 2022-Mar-01 at 19:09

I have a time Series DataFrame:

[https://www.dropbox.com/s/elaxfuvqyip1eq8/SampleDF.csv?dl=0][1]

My intention is to divide this DataFrame into different seasons according to:

winter: Dec Jan Feb
Pre-monsoon: Mar Apr May Jun15 (i.e. till 15th of June)
Monsoon: 15Jun Jul Aug Sep (i.e. from 15th of June)
Post-monsoon: Oct Nov.

I tried using openair package function

selectByDate()

But no luck yet. Being novice in R. Any help would be highly appreciated.

Thanks!

...

ANSWER

Answered 2022-Mar-01 at 19:09

Please see the lubridate package which makes working with date/time a bit easier.

For your problem, I guess you can use sapply:

Source https://stackoverflow.com/questions/71304559

QUESTION

PySpark runs in YARN client mode but fails in cluster mode for "User did not initialize spark context!"

Asked 2022-Jan-19 at 21:28

standard dataproc image 2.0
Ubuntu 18.04 LTS
Hadoop 3.2
Spark 3.1

I am testing to run a very simple script on dataproc pyspark cluster:

testing_dep.py

...

ANSWER

Answered 2022-Jan-19 at 21:26

The error is expected when running Spark in YARN cluster mode but the job doesn't create Spark context. See the source code of ApplicationMaster.scala.

To avoid this error, you need to create a SparkContext or SparkSession, e.g.:

Source https://stackoverflow.com/questions/70668449

QUESTION

How to reduce the empty space between the columns of a multiple plot layout?

Asked 2022-Jan-15 at 11:16

There is a lot of empty space between two plots of the same row. I tried to rectify this by changing the outer margins and plot margins using par() but it isn't working. Another solution I thought of was to increase the size of individual plots but I don't know how to.

...

ANSWER

Answered 2022-Jan-15 at 11:16

You can save the plot by controlling with overall width and height of the image i.e. plot page size, for example, as a png file.

The argument pty = "s" forces a square plot. So by playing around with the width and height arguments of the plot page size you can get the appearance you want.

Alternatively you can use the respect argument of layout and use cex.lab to vary the axis label size.

Source https://stackoverflow.com/questions/70708837

QUESTION

How to select DJFM season instead of xarray groupby

Asked 2022-Jan-11 at 08:30

I am relatively new to python and programming and have been trying to make some initial plots of precipitation data for the Indian subcontinent specifically for the indian winter monsoon through the period of December, January, February, March.

I have noticed that in groupby('time.season').mean(dim='time') only work for DJF

is there a way to get 4 month (DJFM) seasonal average?

...

ANSWER

Answered 2022-Jan-11 at 08:30

If you want the average for a specific set of months over the whole dataset, you can select the months using the time accessor dt and isin, then apply mean. So in your case:

Source https://stackoverflow.com/questions/70658388

QUESTION

Can run code in pyspark shell but the same code fails when submitted with spark-submit

Asked 2022-Jan-07 at 21:22

I am a spark amateur as you will notice in the question. I am trying to run very basic code on a spark cluster. (created on dataproc)

I SSH into the master

Create a pyspark shell with pyspark --master yarn and run the code - Success
Run the exact same code with spark-submit --master yarn code.py - Fails

I have provided some basic details below. Please do let me know whatever additional details I might provide for you to help me.

Details:

code to be run :

testing_dep.py

...

ANSWER

Answered 2022-Jan-07 at 21:22

I think the error message is clear:

Class com.google.cloud.hadoop.fs.gcs.GoogleHadoopFileSystem not found

You need to add the Jar file which contains the above class to SPARK_CLASSPATH

Please see Issues Google Cloud Storage connector on Spark or DataProc for complete solutions.

Source https://stackoverflow.com/questions/70627133

QUESTION

Turn Koeppen Climate Legend into meaningful csv with regex

Asked 2021-Dec-06 at 14:47

I have this table:

...

ANSWER

Answered 2021-Dec-06 at 14:40

Prepared an example, right? screenshot Since the data contains commas, made tab delimiters

Source https://stackoverflow.com/questions/70247062

QUESTION

Why is the pyspark code not parallelizing to all the executors?

Asked 2021-Dec-02 at 07:56

I have created a 7 nodes cluster on dataproc (1 master and 6 executors. 3 primary executors and 3 secondary preemptible executors). I can see in the console the cluster is created corrected. I have all 6 ips and VM names. I am trying to test the cluster but it seems the code is not running on all the executors but just 2 at max. Following is the code I am using to check the number of executors that the code executed on:

...

ANSWER

Answered 2021-Dec-02 at 07:56

You have many executer to work, but not enough data partitions to work on. You can add the parameter numSlices in the parallelize() method to define how many partitions should be created:

Source https://stackoverflow.com/questions/70195488

QUESTION

Getting one row insted of multiple rows when using query statment inside in() at where clause

Asked 2021-Sep-26 at 07:44

There are two tables fruits and fruits_seasons in the schema and I wanted to get all the monsoon fruits. While trying so I noticed a weird response.

https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=77d52b2736a04a5adf4ffe80881cd4ab

Monsoon months

...

ANSWER

Answered 2021-Sep-25 at 17:57

GROUP_CONCAT() returns a string which is a comma separated list of values, so your code is equivalent to:

Source https://stackoverflow.com/questions/69328550

QUESTION

How to create a class instance in Observer pattern?

Asked 2021-Jul-11 at 10:32

I implemented an observer pattern in the below code. However, I am not sure how to create SeasonSubject class's instance in order to call addObserver() function? I don't want to create it inside my view controller. Please refer to below code.

...

ANSWER

Answered 2021-Jul-11 at 10:32

You can create SeasonSubject as a singleton instance, it already maintains an array of observers so multiple observers can use this same instance throughout the app.

Source https://stackoverflow.com/questions/68334930

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

Vulnerabilities

No vulnerabilities reported

Install monsoon

Create a "master" dropbox account to run your application.
Visit the developer site app console (https://www.dropbox.com/developers/apply?cont=/developers/apps) and create a Dropbox API app with files and datastores (the next option is up to you). Make sure you select all file types.
Give your app a name (it doesn't matter)
Copy the demo config_demo.py file, rename it to config.py, and replace the appropriate app key and app secret using the ones provided to your app in the dropbox app console.
You'll need an instance of mongodb running. If you have mangodb installed, run mongod as a separate task. (http://docs.mongodb.org/manual/installation/)
Make sure you have node.js installed -- specifically npm (http://nodejs.org/)
Then, execute the following:

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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