HPaste | HBase DSL for Scala with MapReduce support | DB Client library
kandi X-RAY | HPaste Summary
kandi X-RAY | HPaste Summary
HPaste is a Scala library typically used in Utilities, DB Client applications. HPaste has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
HPaste unlocks the rich functionality of HBase for a Scala audience. In so doing, it attempts to achieve the following goals:.
HPaste unlocks the rich functionality of HBase for a Scala audience. In so doing, it attempts to achieve the following goals:.
Support
Quality
Security
License
Reuse
Support
HPaste has a low active ecosystem.
It has 128 star(s) with 33 fork(s). There are 33 watchers for this library.
It had no major release in the last 6 months.
There are 11 open issues and 3 have been closed. On average issues are closed in 95 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of HPaste is current.
Quality
HPaste has 0 bugs and 0 code smells.
Security
HPaste has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
HPaste code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
HPaste 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
HPaste releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
It has 4102 lines of code, 468 functions and 29 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of HPaste
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of HPaste
HPaste Key Features
No Key Features are available at this moment for HPaste.
HPaste Examples and Code Snippets
No Code Snippets are available at this moment for HPaste.
Community Discussions
Trending Discussions on HPaste
QUESTION
Profile autocommands at startup
Asked 2019-Dec-18 at 14:15
Each time I try to open fugitive in ViM it takes a long time (several seconds).
I have tried to profile it via --startuptime
:
ANSWER
Answered 2019-Dec-18 at 14:15After using tweekmonster/startuptime (as suggested by @sudavid4), I've got some insights:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install HPaste
This project uses Maven. To use HPaste in your own maven project, simply add it as a dependency:.
Here's some quick code examples to give you a sense of what you're getting into. All of the examples in the sections below come from the HPaste unit tests. Specifically the file WebCrawlSchemaTest.scala. If you go to that file and follow along with the explanations below, things will make more sense. The classic case for HBase and BigTable is crawling and storing web pages. You need to define a WebTable for your crawling. The below defines a table called WebTable, with a String key. Now, suppose you're crawling a website. The below will create a row with the values specified. When you call value(), the first argument is a function that points to the column you specified in the above WebTable schema. This dips into DSL-land. Let's get the above page out of the WebTable. Let's say we just want the title of the page and when it was last crawled. The withColumns() call tells HBase to only fetch those columns. It takes a series of functions that return the column values you specified in the WebTable, so you get compile-time checking on that. The result you get back is an instance of the row class you specified against the WebTable: WebPageRow. When you get a WebPageRow back from a query, a scan, or a map reduce job, you can fetch the columns out via the column() call. If you asked for a column family that can be treated as a Map (a Column Family that does not have columns specified in it), then you can retrieve the map via the family() call. HPaste contains support for low-level MapReduce operations. What we mean by low-level is that there are not many layers of abstraction on top of a basic MR job--instead, we focus on making it easy to create and manage table inputs and outputs and serialize binary data between them.
It has a column family called "meta", that holds columns with String keys and Any value-type.
It then specifies that the "meta" family holds a "title" column, a "lastCrawled" column, and a "url" column.
A second column family holds content and has the compressed flag to true.
It has a family "content" for storing content. The "article" column is for storing the main page content.
The Attributes column is a map where you can atomically store values keyed by a string.
SearchMetrics is a column family that contains searches your users have made that have sent them to that page, organized by day.
Here's some quick code examples to give you a sense of what you're getting into. All of the examples in the sections below come from the HPaste unit tests. Specifically the file WebCrawlSchemaTest.scala. If you go to that file and follow along with the explanations below, things will make more sense. The classic case for HBase and BigTable is crawling and storing web pages. You need to define a WebTable for your crawling. The below defines a table called WebTable, with a String key. Now, suppose you're crawling a website. The below will create a row with the values specified. When you call value(), the first argument is a function that points to the column you specified in the above WebTable schema. This dips into DSL-land. Let's get the above page out of the WebTable. Let's say we just want the title of the page and when it was last crawled. The withColumns() call tells HBase to only fetch those columns. It takes a series of functions that return the column values you specified in the WebTable, so you get compile-time checking on that. The result you get back is an instance of the row class you specified against the WebTable: WebPageRow. When you get a WebPageRow back from a query, a scan, or a map reduce job, you can fetch the columns out via the column() call. If you asked for a column family that can be treated as a Map (a Column Family that does not have columns specified in it), then you can retrieve the map via the family() call. HPaste contains support for low-level MapReduce operations. What we mean by low-level is that there are not many layers of abstraction on top of a basic MR job--instead, we focus on making it easy to create and manage table inputs and outputs and serialize binary data between them.
It has a column family called "meta", that holds columns with String keys and Any value-type.
It then specifies that the "meta" family holds a "title" column, a "lastCrawled" column, and a "url" column.
A second column family holds content and has the compressed flag to true.
It has a family "content" for storing content. The "article" column is for storing the main page content.
The Attributes column is a map where you can atomically store values keyed by a string.
SearchMetrics is a column family that contains searches your users have made that have sent them to that page, organized by day.
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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