mongo-spark | The MongoDB Spark Connector
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kandi X-RAY | mongo-spark Summary
The official MongoDB Spark Connector.
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QUESTION
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 06:57Spark 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:
QUESTION
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 19:41If 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
QUESTION
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 15:58I 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
QUESTION
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 10:46Finally the solution provided here: mongodb spark connector issue
works!
I used the latest version: mongo-java-driver-3.12.10
QUESTION
How can I write to mongo using spark considering the following scenarios :
- 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.)
- 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.
- 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 17:54I understood what you are trying to achieve here: You can use something like :
QUESTION
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 15:49As mentioned in repo.typesafe.com, you can add to your sbt:
QUESTION
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 13:08Per 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.
QUESTION
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 22:17My 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
QUESTION
Is there any way to transfer/copy my existing env (which has everything already installed) to the server?
...ANSWER
Answered 2020-Jun-22 at 08:36First we need to pack conda env by using below command
Activate your conda env which you want to pack and then use below command
QUESTION
Anyone can tell me how to use jars and packages .
- I'm working on web aplication.
- 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 10:42Get 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
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Install mongo-spark
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 .
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