deschutes | Streaming OLAP Filtering and Aggregation | Stream Processing library

by cscotta Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | deschutes Summary

deschutes is a Java library typically used in Data Processing, Stream Processing applications. deschutes 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.

Implementation of a streaming OLAP aggregation engine. Defines an API for processing streaming datasets, and provides two implementations of streaming aggregators: one built atop lockless collections, and a second build atop collections implemented using lock-striping.

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Quality

Security

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Support

deschutes has a low active ecosystem.

It has 13 star(s) with 2 fork(s). There are 7 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 2100 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of deschutes is current.

Quality

deschutes has 0 bugs and 0 code smells.

Security

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

deschutes code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deschutes is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

deschutes 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.

deschutes saves you 1323 person hours of effort in developing the same functionality from scratch.

It has 2968 lines of code, 310 functions and 32 files.

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

Top functions reviewed by kandi - BETA

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

Observes an event
Update events
Returns or create a new map with the given timestamp
Fetches a rolling rollup from a times slice
Updates the statistics for a request
Get the number of bytes in the response
Returns the handshake duration in seconds
Returns the number of bytes used in the request
Get a snapshot of the response bytes history
Get the latest handshake time history snapshot
Get the snapshot of the request bytes history
Get Usec total snapshot of the use count
Utility method to write data to a file
Get the total number of bytes in this request
Deserialize a Snapshot instance
Gets a snapshot of the use - csec to use
Gets the request count
Returns the request string
Get the total response bytes
Called when a connection is closed
Called when a connection is open
Adds a listener for output events
Generate iterator over all request events
Sends an update to all users
Provides an iterator over the input
Performs an update

Get all kandi verified functions for this library.

deschutes Key Features

No Key Features are available at this moment for deschutes.

deschutes Examples and Code Snippets

No Code Snippets are available at this moment for deschutes.

Community Discussions

Trending Discussions on deschutes

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

How to use Pandas .value_counts to count number of times an event happened in (column a), and groupby year stated in (column b)

How to add 1 to all numbers == to 0 in a pandas dataframe column python

QUESTION

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

Asked 2022-Apr-18 at 03:52

I have two large-ish data frames I am trying to append...

In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.

In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.

Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.

Edit: dput(df2)

...

ANSWER

Answered 2022-Apr-18 at 03:52

Here's one way you could turn state abbreviations into state names using R's built in state vectors:

Source https://stackoverflow.com/questions/71907258

QUESTION

How to use Pandas .value_counts to count number of times an event happened in (column a), and groupby year stated in (column b)

Asked 2021-Jul-10 at 21:05

I have preprocessed this a df containing info on US Emergency and Disaster history, to now contain the ```['Place, Disaster_type, Start_date, End_date Disaster_length, Year'] from 1960-2017.

Now, I would like to create 2 new dfs.

= to the number of times a disaster occurred in each year,
= to the number times each type of disaster occurred each year.

This is my current attempt at trying to calculate the number of disasters that happened each year and create a new df, but I'm not sure how to have it specifically count the number of disasters pear year.

...

ANSWER

Answered 2021-Jul-10 at 21:05

You can call size on groupby to get the counts.

Source https://stackoverflow.com/questions/68326546

QUESTION

How to add 1 to all numbers == to 0 in a pandas dataframe column python

Asked 2021-Jul-07 at 11:36

I am currently trying to calculate the length of disasters, measured in days, and then with this column that is the difference between the start date and end date, use groupby ( I think), in order to sum the length of disasters for each year, as my data set is from 1960 to present. Eventually, I'd like to also group it by disaster type as well to see how the length of particular disasters changed overtime, but one step at a time.

So far I have converted the dates to pd.datetime format, and then used the code below to create the column with the difference of the two dates

...

ANSWER

Answered 2021-Jul-07 at 11:36

First change the column creation code to:

Source https://stackoverflow.com/questions/68284953

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

Vulnerabilities

No vulnerabilities reported

Install deschutes

You can download it from GitHub.
You can use deschutes like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the deschutes component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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