hdd | Out of memory data manipulation | Data Visualization library

by lrberge R Version: Current License: No License

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kandi X-RAY | hdd Summary

hdd is a R library typically used in Analytics, Data Visualization, Pandas applications. hdd has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Say you're a R user and have this 150GB text file containing a great data set, critical for your research. This too large for memory file can hardly be worked with in R and you don't want to invest time into a data base management system. Scratching your head, you're wondering what to do... That's when the package hdd kicks in!. hdd offers a simple way to deal with out of memory data sets in R. The main functions are txt2hdd for importation and the method [.hdd for manipulation of the data in a similar way to data.table.

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Support

hdd has a low active ecosystem.

It has 6 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hdd is current.

Quality

hdd has no bugs reported.

Security

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

License

hdd 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

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

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hdd Key Features

No Key Features are available at this moment for hdd.

hdd Examples and Code Snippets

Get the HDD status .

java

Lines of Code : 3

License : No License

Copy

public String getHDD() {
		return HDD;
	}

Community Discussions

Trending Discussions on hdd

Spark partition size greater than the executor memory

How to extract data from product page with selenium python

how to unit test a form that has state and method from a custom hook with jest

Is there a way to prevent flood insert from user in PosgreSQL? Is there some kind rate limit?

Update array of objects depending on other array of object value

Shell script for finding (and deleting) video files if they came from a rar

Redux State is stored in Primary Memory (or) Secondary Memory?

How can I use query ends which have single quotes in Google Sheets?

javascript removey key pairs from an array of objects

How to build an array of Objects in a loop

QUESTION

Spark partition size greater than the executor memory

Asked 2021-Jun-14 at 13:26

I have four questions. Suppose in spark I have 3 worker nodes. Each worker node has 3 executors and each executor has 3 cores. Each executor has 5 gb memory. (Total 6 executors, 27 cores and 15gb memory). What will happen if:

I have 30 data partitions. Each partition is of size 6 gb. Optimally, the number of partitions must be equal to number of cores, since each core executes one partition/task (One task per partition). Now in this case, how will each executor-core will process the partition since partition size is greater than the available executor memory? Note: I'm not calling cache() or persist(), it's simply that i'm applying some narrow transformations like map() and filter() on my rdd.
Will spark automatically try to store the partitions on disk? (I'm not calling cache() or persist() but merely just transformations are happening after an action is called)
Since I have partitions (30) greater than the number of available cores (27) so at max, my cluster can process 27 partitions, what will happen to the remaining 3 partitions? Will they wait for the occupied cores to get freed?
If i'm calling persist() whose storage level is set to MEMORY_AND_DISK, then if partition size is greater than memory, it will spill data to the disk? On which disk this data will be stored? The worker node's external HDD?

...

ANSWER

Answered 2021-Jun-14 at 13:26

I answer as I know things on each part, possibly disregarding a few of your assertions:

I have 30 data partitions. Each partition is of size 6 gb. Optimally, the number of partitions must be equal to number of cores, since each core executes one partition/task (One task per partition). Now in this case, how will each executor-core will process the partition since partition size is greater than the available executor memory? Note: I'm not calling cache() or persist(), it's simply that I'm applying some narrow transformations like map() and filter() on my rdd. >>> The number of partitions being the same of number of cores is not true. You can service 1000 partitions with 10 cores, processing one at a time. What if you have 100K partition and on-prem? Unlikely you will get 100K Executors. >>> Moving on and leaving Driver-side collect issues to one side: You may not have enough memory for a given operation on an Executor; Spark can spill to files to disk at the expense of speed of processing. However, the partition size should not exceed a maximum size, was beefed up some time ago. Using multi-core Executors failure can occur, i.e. OOM's, also a result of GC-issues, a difficult topic.
Will spark automatically try to store the partitions on disk? (I'm not calling cache() or persist() but merely just transformations are happening after an action is called) >>> Not if it can avoid it, but when memory is tight, eviction / spilling to disk can and will occur, and in some cases re-computation from source or last checkpoint will occur.
Since I have partitions (30) greater than the number of available cores (27) so at max, my cluster can process 27 partitions, what will happen to the remaining 3 partitions? Will they wait for the occupied cores to get freed? >>> They will be serviced by a free Executor at a point in time.
If I'm calling persist() whose storage level is set to MEMORY_AND_DISK, then if partition size is greater than memory, it will spill data to the disk? On which disk this data will be stored? The worker node's external HDD? >>> Yes, and it will be spilled to the local file system. I think you can configure for HDFS via a setting, but local disks are faster.

This an insightful blog: https://medium.com/swlh/spark-oom-error-closeup-462c7a01709d

Source https://stackoverflow.com/questions/67926061

QUESTION

How to extract data from product page with selenium python

Asked 2021-Jun-13 at 15:09

I am new to Selenium and I am trying to loop through all links and go to the product page and extract data from every product page. This is my code:

...

ANSWER

Answered 2021-Jun-13 at 15:09

I wrote some code that loops through each item on the page, grabs the title and price of the item, then does the same looping through each page. My final working code is like this:

Source https://stackoverflow.com/questions/67953638

QUESTION

how to unit test a form that has state and method from a custom hook with jest

Asked 2021-Jun-10 at 18:40

this is the test for the above component

...

ANSWER

Answered 2021-Jun-10 at 03:01

The configureStore() function from redux-mock-store returns a creator function. This is in case you want to add middleware to it. To get your mock store, you should do this:

Source https://stackoverflow.com/questions/67911408

QUESTION

Is there a way to prevent flood insert from user in PosgreSQL? Is there some kind rate limit?

Asked 2021-Jun-06 at 19:32

As a part of SQL injection prevention, I have revoked rights on DELETE and UPDATE for the user using the connection. In that way, an attacker cannot harm the integrity of the data even if the bad code allows SQL injection.

Now only left is INSERT. E.g. an attacker can flood insert a particular table, crating a dirty database or taking it down with flood INSERT, potentially taking down the HDD and the server where PostgreSQL is running. All DDL and DCL are already revoked for that user.

So, my question is: is it possible to prevent flood insert, rate-limiting specific connection / session / execution, attempting insert of more than 1 row per 5-10 seconds during the mentioned.

By flood insert I mean something like this:

...

ANSWER

Answered 2021-Jun-06 at 19:32

You have some contradicting requirements between your comment:

I need number of rows inserted in single statement limit

and your question:

rate-limiting specific connection / session / execution attempting insert of more than 1 row per 5-10 seconds

The "rate limit" can't be done without external tools, but the "in single statement limit" part can be achieved with a statement level trigger.

The function checks for the number of rows inserted:

Source https://stackoverflow.com/questions/67856783

QUESTION

Update array of objects depending on other array of object value

Asked 2021-Jun-02 at 19:35

I have two arrays of objects and I want to update one depending on other's propery value.

If driveTypeArray.multiAssign is true and driveTypeArray.type === drive.type, drive.ready should become true.

In array driveTypeArray there are two types with multiAssign: true and in results it gives me only one drive with ready:true

I tried with forEach but I think my logic is incorrect.

...

ANSWER

Answered 2021-Jun-02 at 19:33

This mutates the drives array to set ready based on your logic. Is that what you were after?

Source https://stackoverflow.com/questions/67811326

QUESTION

Shell script for finding (and deleting) video files if they came from a rar

Asked 2021-Jun-01 at 17:54

My download program automatically unrars rar archives, which is all well and good as Sonarr and Radarr need that original video file to import. But now my download HDD fills up with all these video files I no longer need.

I've tried playing around with modifying existing scripts I have, but every step seems to take me further from the goal.

Here's what I have so far (that isnt working and I clearly dont know what im doing). My main problem is I can't get it to find the files correctly yet. This script jumps right to "no files found". So I'm doing the search wrong at the very least. Or I'm pretty sure I might need to completely rewrite from scratch using a different method I'm not aware of..

...

ANSWER

Answered 2021-Jun-01 at 17:54

With GNU find, you can condense this to one command:

Source https://stackoverflow.com/questions/67789775

QUESTION

Redux State is stored in Primary Memory (or) Secondary Memory?

Asked 2021-Jun-01 at 09:47

I am currently working on react app, in which the landing page makes a request to two different API's and combine them and displays the result.

So, I am thinking to cache this data object in redux store so that whenever user goes back to the landing page, if data is already is present, fetch from redux store else make a new request.

So my question is that when the object is stored in redux state, where is it actually stored -

Primary Memory(RAM) or
Secondary Memory(HDD)

...

ANSWER

Answered 2021-Jun-01 at 09:47

A Redux state is just a variable. It is stored in RAM unless your computer runs out of resources and needs to swap to HDD. But that is true for every variable and not specific to Redux or even JavaScript, but an Operating System behaviour.

Source https://stackoverflow.com/questions/67780723

QUESTION

How can I use query ends which have single quotes in Google Sheets?

Asked 2021-Jun-01 at 07:11

When I query =Query(A:B;"Where B ends with 'HDD laptop 2.5''inch'";0), it will fail, because there's a '' . Is there a way to still query with single quotes? Sometimes I need to query column BY, but QUERY understands Column BY as by.

...

ANSWER

Answered 2021-Jun-01 at 07:10

Try

Source https://stackoverflow.com/questions/67782211

QUESTION

javascript removey key pairs from an array of objects

Asked 2021-May-30 at 17:10

I have this javascript function

...

ANSWER

Answered 2021-May-30 at 17:08

Use delete obj[0].id.

You have an array of objects, not an object, even though there's only one entry. Hence you would need to delete the property from the first entry, not obj.

Source https://stackoverflow.com/questions/67763503

QUESTION

How to build an array of Objects in a loop

Asked 2021-May-30 at 13:33

I'm new with Python but i'm a Powershell user so maybe what i'm trying to do is not possible the same way in Python

In Python 3 to learn i'm trying to make a list of the files in a directory and store it into a indexstore variable.

To do that this is what i done :

i created 2 objects Index and Indexstore

...

ANSWER

Answered 2021-May-30 at 13:33

With the goal of 'Using Python 3 to make a list of the files in a directory and store it into a indexstore variable'.

The first problem I see is that you create a class Indexstore but later completely obviate the class when you assign the variable Indexstore = [].

so given you have a valid list of files from: listOfFile = os.listdir(SourcePath)

This is an approach that will work:

First build an IndexItem class:

Source https://stackoverflow.com/questions/67748440

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

Vulnerabilities

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Install hdd

You can download it from GitHub.

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