spark | .NET for Apache® Spark™ makes Apache Spark™

 by   dotnet C# Version: v1.0.2 License: MIT

kandi X-RAY | spark Summary

kandi X-RAY | spark Summary

spark is a C# library typically used in Telecommunications, Media, Media, Entertainment, Big Data, Spark applications. spark has no bugs, it has a Permissive License and it has medium support. However spark has 2 vulnerabilities. You can download it from GitHub.

.NET for Apache Spark provides high performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks. Note: We currently have a Spark Project Improvement Proposal JIRA at SPIP: .NET bindings for Apache Spark to work with the community towards getting .NET support by default into Apache Spark. We highly encourage you to participate in the discussion.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              spark has a medium active ecosystem.
              It has 1905 star(s) with 309 fork(s). There are 88 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 158 open issues and 391 have been closed. On average issues are closed in 32 days. There are 27 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spark is v1.0.2

            kandi-Quality Quality

              spark has 0 bugs and 73 code smells.

            kandi-Security Security

              spark has 2 vulnerability issues reported (0 critical, 1 high, 1 medium, 0 low).
              spark code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              spark is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spark releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.
              spark saves you 3039 person hours of effort in developing the same functionality from scratch.
              It has 6550 lines of code, 392 functions and 321 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of spark
            Get all kandi verified functions for this library.

            spark Key Features

            No Key Features are available at this moment for spark.

            spark Examples and Code Snippets

            No Code Snippets are available at this moment for spark.

            Community Discussions

            QUESTION

            Scala: in where clause how to get column string value and split, and intersect against another array?
            Asked 2021-Jun-15 at 20:34

            I have a dataframe where one column is ; separated strings, e.g. "str1;str2;str3;str4", I also have another static list "strx;stry;strz", the goal is to split the column string value and check if the split array has any intersection with the static list, and keep that row

            I tried

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:34

            It seems you're mixing up Spark's split method for Columns with Scala's split for Strings. Please see example below for how the two different split methods are used. Method array_intersect is for intersecting the split Array column with the split element-filter string.

            Source https://stackoverflow.com/questions/67977336

            QUESTION

            Why does Spark perform an unnecessary shuffle during a joinWith on a pre-partitioned dataframe?
            Asked 2021-Jun-15 at 12:49

            This example has been tested with Spark 2.4.x. Let's consider 2 simple dataframes:

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:49

            This seems like a bug introduced by a bug fix in this ticket. The result was wrong for outer joins. Hence the need to add a Project node (packing of the struct) before the Join node.

            However, we end up with this kind of query plan:

            Source https://stackoverflow.com/questions/67400097

            QUESTION

            Java Spark Dataset MapFunction - Task not serializable without any reference to class
            Asked 2021-Jun-15 at 11:58

            I have a following class that reads csv data into Spark's Dataset. Everything works fine if I just simply read and return the data.

            However, if I apply a MapFunction to the data before returning from function, I get

            Exception in thread "main" org.apache.spark.SparkException: Task not serializable

            Caused by: java.io.NotSerializableException: com.Workflow.

            I know Spark's working and its need to serialize objects for distributed processing, however, I'm NOT using any reference to Workflow class in my mapping logic. I'm not calling any Workflow class function in my mapping logic. So why is Spark trying to serialize Workflow class? Any help will be appreciated.

            ...

            ANSWER

            Answered 2021-Feb-17 at 08:21

            you could make Workflow implement Serializeble and SparkSession as @transient

            Source https://stackoverflow.com/questions/66233112

            QUESTION

            I can't pass parameters to foreach loop while implementing Structured Streaming + Kafka in Spark SQL
            Asked 2021-Jun-15 at 04:42

            I followed the instructions at Structured Streaming + Kafka and built a program that receives data streams sent from kafka as input, when I receive the data stream I want to pass it to SparkSession variable to do some query work with Spark SQL, so I extend the ForeachWriter class again as follows:

            ...

            ANSWER

            Answered 2021-Jun-15 at 04:42

            do some query work with Spark SQL

            You wouldn't use a ForEachWriter for that

            Source https://stackoverflow.com/questions/67972167

            QUESTION

            Scala sortWith for java.sql.Timestamp sometimes will or won't compile when using two underscores
            Asked 2021-Jun-14 at 23:28

            I'm confused why a type that implements comparable isn't "implicitly comparable", and also why certain syntaxes of sortWith won't compile at all:

            ...

            ANSWER

            Answered 2021-Jun-11 at 10:35
            // Works but won't sort eq millis
            val records = iter.toArray.sortWith(_.event_time.getTime < _.event_time.getTime)
            

            Source https://stackoverflow.com/questions/67929439

            QUESTION

            PySpark Incremental Count on Condition
            Asked 2021-Jun-14 at 22:51

            Given a Spark dataframe with the following columns I am trying to construct an incremental/running count for each id based on when the contents of the event column evaluate to True.

            ...

            ANSWER

            Answered 2021-Jun-14 at 22:51

            You can use sum function, casting your event as an int:

            Source https://stackoverflow.com/questions/67977729

            QUESTION

            ScalaTest error object flatspec is not a member of package org.scalatest
            Asked 2021-Jun-14 at 17:36

            I have sample tests used from scalatest.org site and maven configuration again as mentioned in reference documents on scalatest.org, but whenever I run mvn clean install it throws the compile time error for scala test(s).

            Sharing the pom.xml below

            ...

            ANSWER

            Answered 2021-Jun-14 at 07:54

            You are using scalatest version 2.2.6:

            Source https://stackoverflow.com/questions/67958842

            QUESTION

            Cannot install additional requirements to apache airflow
            Asked 2021-Jun-14 at 16:35

            I am using the following docker-compose image, I got this image from: https://github.com/apache/airflow/blob/main/docs/apache-airflow/start/docker-compose.yaml

            ...

            ANSWER

            Answered 2021-Jun-14 at 16:35

            Support for _PIP_ADDITIONAL_REQUIREMENTS environment variable has not been released yet. It is only supported by the developer/unreleased version of the docker image. It is planned that this feature will be available in Airflow 2.1.1. For more information, see: Adding extra requirements for build and runtime of the PROD image.

            For the older version, you should build a new image and set this image in the docker-compose.yaml. To do this, you need to follow a few steps.

            1. Create a new Dockerfile with the following content:

            Source https://stackoverflow.com/questions/67851351

            QUESTION

            How to run a Spark-Scala unit test notebook in Databricks?
            Asked 2021-Jun-14 at 15:42

            I am trying to write a unit test code for my Spark-Scala notebook using scalatest.funsuite but the notebook with test() is not getting executed in databricks. Could you please let me know how can I run it?

            Here is the sample test code for the same.

            ...

            ANSWER

            Answered 2021-Jun-14 at 15:42

            You need to explicitly create the object for that test suite & execute it. In IDE you're relying on specific runner, but it doesn't work in the notebook environment.

            You can use either the .execute function of create object (docs):

            Source https://stackoverflow.com/questions/67971085

            QUESTION

            Does the number of kafka partitions increase the speed of Spark writing to kafka?
            Asked 2021-Jun-14 at 14:31

            When reading, Spark have a mapping 1:1 to kafka partitions, so, with more partitions we can leverage more parellelism to our job.

            But does it apply when Spark is writing in kafka ? Writing the same dataset in one topic with 4 partitions is more fast than writing in a topic with 1 partition ?

            ...

            ANSWER

            Answered 2021-Jun-14 at 14:31

            Yes.

            If your topic has 1 partition means it is in one broker. So, If you increase producer rate for the topic, then that broker becomes busy. But if you have multiple partitions, your Kafka cluster shared those partitions into different brokers and those production rate shared within multiple brokers. So, Writing the same dataset in one topic with 4 partitions is more fast than writing in a topic with 1 partition.

            This not only production rate. In Kafka brokers, There is multiple processes like compactions, compressions, segmentations etc... So with number of messages, that work load becomes high. But with multiple partitions in multiple brokers, it will be distributed.

            However, you don’t necessarily want to use more partitions than needed because increasing partition count simultaneously increases the number of open server files and leads to increased replication latency.

            from kafka documentation

            Distribution The partitions of the log are distributed over the servers in the Kafka cluster with each server handling data and requests for a share of the partitions. Each partition is replicated across a configurable number of servers for fault tolerance. Each partition has one server which acts as the "leader" and zero or more servers which act as "followers". The leader handles all read and write requests for the partition while the followers passively replicate the leader. If the leader fails, one of the followers will automatically become the new leader. Each server acts as a leader for some of its partitions and a follower for others so load is well balanced within the cluster.

            Source https://stackoverflow.com/questions/67971694

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

            Vulnerabilities

            No vulnerabilities reported

            Install spark

            These instructions will show you how to run a .NET for Apache Spark app using .NET Core.
            Windows Instructions
            Ubuntu Instructions
            MacOs Instructions

            Support

            *2.4.2 is not supported.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries

            Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link