mongo-spark | The MongoDB Spark Connector

 by   mongodb Java Version: r10.1.1 License: Apache-2.0

kandi X-RAY | mongo-spark Summary

kandi X-RAY | mongo-spark Summary

mongo-spark is a Java library typically used in Big Data, MongoDB, Spark applications. mongo-spark has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mongo-spark build file is not available. You can download it from GitHub, Maven.

The official MongoDB Spark Connector.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              mongo-spark has a low active ecosystem.
              It has 669 star(s) with 304 fork(s). There are 79 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              mongo-spark has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mongo-spark is r10.1.1

            kandi-Quality Quality

              mongo-spark has 0 bugs and 0 code smells.

            kandi-Security Security

              mongo-spark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mongo-spark code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mongo-spark 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.

            kandi-Reuse Reuse

              mongo-spark releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              mongo-spark has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 9087 lines of code, 806 functions and 154 files.
              It has medium 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 mongo-spark
            Get all kandi verified functions for this library.

            mongo-spark Key Features

            No Key Features are available at this moment for mongo-spark.

            mongo-spark Examples and Code Snippets

            No Code Snippets are available at this moment for mongo-spark.

            Community Discussions

            QUESTION

            Same Spark Dataframe created in 2 different ways gets different execution times in same query
            Asked 2022-Jan-14 at 18:33

            I created the same Spark Dataframe in 2 ways in order to run Spark SQL on it.

            1. I read the data from a .csv file straight into a Dataframe in Spark shell using the following command:

            ...

            ANSWER

            Answered 2022-Jan-06 at 06:57

            Spark is optimized to perform better on Dataframes. In your second approach you are first reading RDD then converting it to Dataframe which definitely has the cost.

            Instead try to read data from Mongo DB directly as a dataframe. You can refer to the following syntax:

            Source https://stackoverflow.com/questions/70586614

            QUESTION

            Spark Shell: SQL Query doesn't return any results when data is integer/double
            Asked 2021-Dec-16 at 19:41

            I am using the MongoDB Spark Connector to import data from MongoDB and then perform some SQL queries. I will describe the whole process before getting into the actual problem in case I have done something wrong since it's the first time I am using these tools.

            I initialize spark-shell with the specific Collection, including the connector package:

            ...

            ANSWER

            Answered 2021-Dec-16 at 19:41

            If it is not a typo/cut-n-paste error in your SELECT, the WHERE clause in it compares string "Units Sold" to a numeric value 4000 which is never true. The proper way to escape column names in SparkSQL is using a ` (backticks) not an ' (apostrophes).

            So use the following query

            Source https://stackoverflow.com/questions/70384318

            QUESTION

            java.lang.NoSuchMethodError: com.mongodb.internal.connection.Cluster.selectServer
            Asked 2021-Dec-14 at 06:31

            I am new to Apache Spark and I am using Scala and Mongodb to learn it. https://docs.mongodb.com/spark-connector/current/scala-api/ I am trying to read the RDD from my MongoDB database, my notebook script as below:

            ...

            ANSWER

            Answered 2021-Aug-22 at 15:58

            I suspect that there is a conflict between mongo-spark-connector and mongo-scala-driver. The former is using Mongo driver 4.0.5, but the later is based on the version 4.2.3. I would recommend to try only with mongo-spark-connector

            Source https://stackoverflow.com/questions/68880459

            QUESTION

            While trying to connect to MongoDB got exception Class ConnectionString not found
            Asked 2021-Oct-07 at 10:46

            I am trying to connect to MongoDB to write a collection. The spark session was created correctly but whe I try to insert the data into Mongo I get an error in:

            ...

            ANSWER

            Answered 2021-Oct-07 at 10:46

            Finally the solution provided here: mongodb spark connector issue

            works!

            I used the latest version: mongo-java-driver-3.12.10

            Source https://stackoverflow.com/questions/69463543

            QUESTION

            Customize the write operation in Mongo from Spark
            Asked 2021-Apr-23 at 17:54

            How can I write to mongo using spark considering the following scenarios :

            1. If the document is present, just update the matching fields with newer value and if the field is absent, add the new field. (The replaceDocument parameter if false will update the matching records but not add the new unmatched fields while if set to true, my old fields can get lost.)
            2. I want to keep a datafield as READ-ONLY, example there are two fields, first_load_date and updated_on. first_load_date should never change, it is the day that record is created in mongo, and updated_on is when new fields are added or older ones replaced.
            3. If document is absent, insert.

            Main problem is replaceDocument = True will lead to loss of older fields not present in newer row, while False, will take care of matched but now the newer incoming fields.

            I am using Mongo-Spark-Connector 2.4.1

            ...

            ANSWER

            Answered 2021-Apr-23 at 17:54

            I understood what you are trying to achieve here: You can use something like :

            Source https://stackoverflow.com/questions/67163272

            QUESTION

            "Insecure HTTP request is unsupported" Error in Scala
            Asked 2020-Dec-03 at 12:00

            I am getting the following error when attempting to run sbt run to run my Scala code:

            insecure HTTP request is unsupported 'http://repo.typesafe.com/typesafe/releases'; switch to HTTPS or opt-in as ("typesafe-releases" at "http://repo.typesafe.com/typesafe/releases").withAllowInsecureProtocol(true), or by using allowInsecureProtocol in repositories file

            This is strange because it was working perfectly fine last week and I have changed nothing in the code. I have tried adding ("typesafe-releases" at "http://repo.typesafe.com/typesafe/releases").withAllowInsecureProtocol(true) in my build.sbt file and resolver file, installing Java11, deleting my project folder, and completely reclone my code from the repository but nothing is working. I am using Visual Studios but have also tried on IntelliJ and get the same error.

            Any advice would be greatly appreciated, as I have changed nothing and now suddenly my code doesn't compile anymore. Further details:

            sbt.version = 1.4.0

            Scala code runner version 2.12.10

            My current built.sbt (please note that I did not have the resolve part added before, when my code was working fine. It was added as an attempt to resolve the issue but did not work):

            ...

            ANSWER

            Answered 2020-Nov-24 at 15:49

            As mentioned in repo.typesafe.com, you can add to your sbt:

            Source https://stackoverflow.com/questions/64989130

            QUESTION

            How to specify BigDecimal scale and precision in schema when loading a Mongo collection as a Spark Dataset
            Asked 2020-Aug-05 at 08:16

            I am trying to load a large Mongo collection into Apache Spark using the Scala Mongo connector.

            I am using the following versions:

            ...

            ANSWER

            Answered 2020-Aug-03 at 13:08

            Per this and this, as far as I can tell, mantissa and exponent in Decimal128 are fixed size. Unless you can find evidence to the contrary it therefore does not make sense for MongoDB to permit specifying scale and precision for its decimals.

            My understanding is relational databases would use different floating point types based on scale and precision (e.g. 32 bit vs 64 bit floats) but in MongoDB the database preserves the types it's given, so if you want a shorter float you'd need to make your application send it instead of the decimal type.

            Source https://stackoverflow.com/questions/63227328

            QUESTION

            Spark Submit command is returning a missing application resource
            Asked 2020-Aug-03 at 22:17

            To start things off I created a jar file using this How to build jars from IntelliJ properly?.

            My Jar files path is

            ...

            ANSWER

            Answered 2020-Aug-03 at 22:17

            My answer so far, was to first build the jar file differently.(IntelliJ creation)

            File -> Project Structure -> Project Settings -> Artifacts -> Jar, however instead of extracting to jar, I clicked on

            Source https://stackoverflow.com/questions/63236492

            QUESTION

            How to transfer Anaconda env installed on one machine to server?
            Asked 2020-Jun-22 at 08:36

            Is there any way to transfer/copy my existing env (which has everything already installed) to the server?

            ...

            ANSWER

            Answered 2020-Jun-22 at 08:36

            First we need to pack conda env by using below command

            1. Activate your conda env which you want to pack and then use below command

            Source https://stackoverflow.com/questions/62445248

            QUESTION

            Spark-submit configuration: jars,packages
            Asked 2020-Jun-12 at 10:49

            Anyone can tell me how to use jars and packages .

            1. I'm working on web aplication.
            2. For Engine side spark-mongo

            bin/spark-submit --properties-file config.properties --packages org.mongodb.spark:mongo-spark-connector_2.11:2.4.1,com.crealytics:spark-excel_2.11:0.13.1 /home/PycharmProjects/EngineSpark.py 8dh1243sg2636hlf38m

            • I'm using above command but it's downloading each time from maven repository(jar & packages).
            • So now my concern is if i'm offline it gives me error
            • its good if their any way to download it only once so no need to download each time
            • any suggestion how to deal with it.
            ...

            ANSWER

            Answered 2020-Jun-12 at 10:42

            Get all the jar files required then pass them as a parameter to the spark-submit.

            This way you need not to download files everytime you submit the spark job.

            You have to use --jars instead of --packages

            Source https://stackoverflow.com/questions/62338811

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

            Vulnerabilities

            No vulnerabilities reported

            Install mongo-spark

            You can download it from GitHub, Maven.
            You can use mongo-spark 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 mongo-spark 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 .
            Find more information at:

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

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/mongodb/mongo-spark.git

          • CLI

            gh repo clone mongodb/mongo-spark

          • sshUrl

            git@github.com:mongodb/mongo-spark.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link