efficient | The associated R package for Efficient R programming

by csgillespie R Version: Current License: No License

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

kandi X-RAY | efficient Summary

efficient is a R library. efficient has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The associated R package for Efficient R programming

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Quality

Security

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Support

efficient has a low active ecosystem.

It has 37 star(s) with 17 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 6 have been closed. On average issues are closed in 31 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of efficient is current.

Quality

efficient has no bugs reported.

Security

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

License

efficient 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

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

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efficient Key Features

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efficient Examples and Code Snippets

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Community Discussions

Trending Discussions on efficient

How to deal with spaces in a HTML/JavaScript class name

Is there a way to do conditional select statements in SQLite?

Log an array of bytes without fragmenting heap

Transform a list of lists into a list of numbers based on uniqueness

How do I dynamically get an object type and cast to it?

How to iterate rows with known start position and mixed column ordering, exactly as if walking the corresponding index?

Comparing contents of lists ignoring order

Accessing Aurora Postgres Materialized Views from Glue data catalog for Glue Jobs

Python min/max of numpy array column within a dictonary

Function to replace values in data.table using a lookup table

QUESTION

How to deal with spaces in a HTML/JavaScript class name

Asked 2021-Jun-15 at 20:06

I am having problems getting data from a element using Selenium with the line:

...

ANSWER

Answered 2021-Jun-15 at 20:06

When an element has spaces in the class attribute, that means it has multiple classes, so you'll need to handle that another way.

One option is with CSS selectors.

https://selenium-python.readthedocs.io/locating-elements.html#locating-elements

https://selenium-python.readthedocs.io/api.html#locate-elements-by

Source https://stackoverflow.com/questions/67992425

QUESTION

Is there a way to do conditional select statements in SQLite?

Asked 2021-Jun-15 at 19:54

I am trying to create an app in which the user has the option to query the database by entering information into one of two entry boxes. I want to be able to use a single select statement and conditionally query the database based on what box the user enter their information into. I currently am trying to use a CASE clause, but I believe that it is running into an error when I try to include a WHERE clause in the THEN argument. Here is what I am currently working with:

...

ANSWER

Answered 2021-Jun-15 at 19:54

Move the CASE expression to the WHERE clause:

Source https://stackoverflow.com/questions/67992606

QUESTION

Log an array of bytes without fragmenting heap

Asked 2021-Jun-15 at 19:36

I am running some code on a STM32 chip which is logging to my uart port.

I am having a hard time finding the proper way to log an array of bytes. I wrote this function:

...

ANSWER

Answered 2021-Jun-15 at 19:36

If the problem did end up being from heap overuse (from strncat), then you could try out this implementation that uses the return from sprintf to append to the string as your building it.

Source https://stackoverflow.com/questions/67992301

QUESTION

Transform a list of lists into a list of numbers based on uniqueness

Asked 2021-Jun-15 at 18:44

So let us say that we have a 2 dimensional list of numbers:

...

ANSWER

Answered 2021-Jun-15 at 16:51

Would something like this work?

Source https://stackoverflow.com/questions/67990319

QUESTION

How do I dynamically get an object type and cast to it?

Asked 2021-Jun-15 at 17:41

How do I get the object type so I can directly cast to it? This is the ideal method I would like to execute:

...

ANSWER

Answered 2021-Jun-15 at 17:41

All controls derive from Control. Therefore, instead of using the type Object use Control. Control has most of the members of these controls like a Click event.

Source https://stackoverflow.com/questions/67990050

QUESTION

How to iterate rows with known start position and mixed column ordering, exactly as if walking the corresponding index?

Asked 2021-Jun-15 at 16:49

I have a given, unmodifiable table design which resembles:

...

ANSWER

Answered 2021-Jun-15 at 15:17

One hacky solution would switch the sign of the second column:

Source https://stackoverflow.com/questions/67988936

QUESTION

Comparing contents of lists ignoring order

Asked 2021-Jun-15 at 16:01

assuming I have a class shown below:

...

ANSWER

Answered 2021-Jun-15 at 16:01

You need to implement the __eq__ and __lt__ methods to allow you to sort the objects and then compare them:

Source https://stackoverflow.com/questions/67987270

QUESTION

Accessing Aurora Postgres Materialized Views from Glue data catalog for Glue Jobs

Asked 2021-Jun-15 at 13:51

I have an Aurora Serverless instance which has data loaded across 3 tables (mixture of standard and jsonb data types). We currently use traditional views where some of the deeply nested elements are surfaced along with other columns for aggregations and such.

We have two materialized views that we'd like to send to Redshift. Both the Aurora Postgres and Redshift are in Glue Catalog and while I can see Postgres views as a selectable table, the crawler does not pick up the materialized views.

Currently exploring two options to get the data to redshift.

Output to parquet and use copy to load
Point the Materialized view to jdbc sink specifying redshift.

Wanted recommendations on what might be most efficient approach if anyone has done a similar use case.

Questions:

In option 1, would I be able to handle incremental loads?
Is bookmarking supported for JDBC (Aurora Postgres) to JDBC (Redshift) transactions even if through Glue?
Is there a better way (other than the options I am considering) to move the data from Aurora Postgres Serverless (10.14) to Redshift.

Thanks in advance for any guidance provided.

...

ANSWER

Answered 2021-Jun-15 at 13:51

Went with option 2. The Redshift Copy/Load process writes csv with manifest to S3 in any case so duplicating that is pointless.

Regarding the Questions:

N/A
Job Bookmarking does work. There is some gotchas though - ensure Connections both to RDS and Redshift are present in Glue Pyspark job, IAM self ref rules are in place and to identify a row that is unique [I chose the primary key of underlying table as an additional column in my materialized view] to use as the bookmark.
Using the primary key of core table may buy efficiencies in pruning materialized views during maintenance cycles. Just retrieve latest bookmark from cli using aws glue get-job-bookmark --job-name yourjobname and then just that in the where clause of the mv as where id >= idinbookmark

conn = glueContext.extract_jdbc_conf("yourGlueCatalogdBConnection") connection_options_source = { "url": conn['url'] + "/yourdB", "dbtable": "table in dB", "user": conn['user'], "password": conn['password'], "jobBookmarkKeys":["unique identifier from source table"], "jobBookmarkKeysSortOrder":"asc"}

datasource0 = glueContext.create_dynamic_frame.from_options(connection_type="postgresql", connection_options=connection_options_source, transformation_ctx="datasource0")

That's all, folks

Source https://stackoverflow.com/questions/67928401

QUESTION

Python min/max of numpy array column within a dictonary

Asked 2021-Jun-15 at 13:09

I am looking for a more elegant/efficient way of finding the min/max value of every column from a numpy array within a dictionary.

For example:

...

ANSWER

Answered 2021-Jun-15 at 13:09

You can concatenate your individual lists into a single Numpy array and then just use min and max along the desired axis:

Source https://stackoverflow.com/questions/67986540

QUESTION

Function to replace values in data.table using a lookup table

Asked 2021-Jun-15 at 11:33

This a follow-up on this question: How to efficiently replace one set of values with another set of values in data.table using a lookup table?

I want to make a function which takes arbitrary data.table dt, lookup table dtLookup and efficiently replaces (i.e. using data.table in-memory framework) all values in a column col according to lookup table.

Here's the original code:

...

ANSWER

Answered 2021-May-19 at 18:38

We don't need as.name. Object on the lhs of = is not evaluated correctly. Instead, we could use a named vector in on with setNames

Source https://stackoverflow.com/questions/67608799

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Vulnerabilities

No vulnerabilities reported

Install efficient

You can download it from GitHub.

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