tispark | TiSpark is built for running Apache Spark on top

by pingcap Scala Version: v3.2.2 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tispark Summary

tispark is a Scala library typically used in Big Data, Spark applications. tispark has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

TiSpark is a thin layer built for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB, a distributed OLTP database, to provide one-stop Hybrid Transactional/Analytical Processing (HTAP) solutions for online transactions and analyses.

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Quality

Security

License

Reuse

Support

tispark has a medium active ecosystem.

It has 856 star(s) with 245 fork(s). There are 50 watchers for this library.

It had no major release in the last 12 months.

There are 94 open issues and 609 have been closed. On average issues are closed in 70 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tispark is v3.2.2

Quality

tispark has 0 bugs and 0 code smells.

Security

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

tispark code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tispark 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

tispark releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

tispark saves you 43435 person hours of effort in developing the same functionality from scratch.

It has 55051 lines of code, 3742 functions and 541 files.

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

Top functions reviewed by kandi - BETA

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

Overrides the superclass of AggregateFunction
Overriding superclass method for scalar functions
Converts a FuncCallExpr to a proto type
Serialize an IsNull
Translates a string RegExpression node
Encode a constant value
Visits a ColumnRef node
Translates a logicalBinaryBinaryExpression into its canonical form
Translates the given UNary node to its corresponding protob representation
Create a scalar expression
Returns the set of parts covered by the expression
Visit the partitioned binary expression
Performs the logical AND of the logical binary expression
Visit a comparison expression
Writes a long value out to the given address
Visits a logical binary expression
Returns a list of all grants associated with a role
Selects all instances of the given region
Cut the first encoded value
Convert data type to Spark type
Get the default type for the given value
Sets a decimal to the given address
Converts duration to string
Performs a random sampling of bytes
Returns a string representation of this object
Decodes a non - null value
Reads the column values from the given byte array
Convert configuration to tiark configuration
Generate initial MySQL type map
Decodes column vector
Process a region task

Get all kandi verified functions for this library.

tispark Key Features

No Key Features are available at this moment for tispark.

tispark Examples and Code Snippets

No Code Snippets are available at this moment for tispark.

Community Discussions

Trending Discussions on tispark

Dropped rows in Spark when modifying database in MySQL

QUESTION

Dropped rows in Spark when modifying database in MySQL

Asked 2019-Jul-12 at 08:38

I've been following the 5 min how to for setting up an htap databse with tidb_tispark and everything works until I get to the section Launch TiSpark. My first issue occurs when executing the line:

...

ANSWER

Answered 2019-Jul-12 at 08:38

I'm one of the main dev of TiSpark. Sorry for your bad experience with it.

Due to my docker problem, I cannot directly reproduce your issue but it seems you hit one of the bug fixed recently. https://github.com/pingcap/tispark/pull/862/files

The tutorial document is not quite up-to-date and points to an older version. That's why it didn't work with spark 2.1.1 as in tutorial. We will update it ASAP.
Newer version of TiSpark doesn't use tidbMapDatabase anymore but hooks with catalog directly instead. Method tidbMapDatabase remains for backward compatibility. Unfortunately, the tidbMapDatabase had a bug（when we ported it from older version） that it retrieves timestamp for query only once you call the function. That causes TiSpark always uses old timestamp to do snapshot reading and newer data would never be seen by it.

In newer version of TiSpark (TiSpark 2.0+ with Spark 2.3+), databases and tables are directly hooked into catalog services and you can directly call

Source https://stackoverflow.com/questions/56993559

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

Vulnerabilities

No vulnerabilities reported

Install tispark

Read the Quick Start.
TiSpark now supports Spark 2.3.0+、2.4.0+、3.0.0+ and 3.1.0+. The earlier TiSpark versions for Spark 2.1.0+ are not supported anymore. Currently java8 is the only choice to build TiSpark, run mvn -version to check.
For the users of Spark 2.1 who wish to upgrade to the latest TiSpark version on Spark 2.3/2.4, download or install Spark 2.3+/2.4+ by following the instructions on Apache Spark Site and overwrite the old spark version in $SPARK_HOME.
For TiSpark version >= 2.0:. Note: If you use TiSpark 2.0+, for spark-submit on Pyspark, tidbMapDatabase is still required and TiExtension is not supported yet. PingCAP is working on this issue.
add spark.sql.extensions org.apache.spark.sql.TiExtensions in spark-defaults.conf.
ensure that spark.tispark.pd.addresses is set correctly.
When upgrading from TiDB-2.x to TiDB-3.x,.
make sure that you are using at least TiSpark-2.1.2 (TiSpark-2.1.9 is highly recommended).
tidbMapDatabase is deprecated after TiSpark-2.x, make sure that you are not using it.

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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