spark-avro | Avro Data Source for Apache Spark

by databricks Scala Version: v4.0.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | spark-avro Summary

spark-avro is a Scala library typically used in Big Data, Kafka, Spark applications. spark-avro has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Avro Data Source for Apache Spark

Support

Quality

Security

License

Reuse

Support

spark-avro has a low active ecosystem.

It has 538 star(s) with 319 fork(s). There are 72 watchers for this library.

It had no major release in the last 12 months.

There are 64 open issues and 103 have been closed. On average issues are closed in 134 days. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-avro is v4.0.0

Quality

spark-avro has 0 bugs and 0 code smells.

Security

spark-avro has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spark-avro code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-avro 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

spark-avro releases are available to install and integrate.

It has 1941 lines of code, 60 functions and 13 files.

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

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spark-avro Key Features

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

spark-avro Examples and Code Snippets

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

Community Discussions

Trending Discussions on spark-avro

How to union two dataframes which have same number of columns?

How to run Spark structured streaming using local JAR files

java.lang.VerifyError: Operand stack overflow for google-ads API and SBT

Unable to find Databricks spark sql avro shaded jars in any public maven repository

Spring Boot Logging to a File

how come scala code gets compiled with Java?

SBT run with provided works under the '.' projects but fails with no mercy under any subprojects

Why is adding org.apache.spark.avro dependency is mandatory to read/write avro files in Spark2.4 while I'm using com.databricks.spark.avro?

AVRO file not read fully by Spark

apply Window.partitionBy for two columns to get n-core dataset in pyspark

QUESTION

How to union two dataframes which have same number of columns?

Asked 2022-Apr-11 at 22:02

Dataframe df1 contains columns : a, b, c, d, e (Empty dataframe)

Dataframe df2 contains columns : b, c, d, e, _c4 (Contains Data)

I want to do a union on these two dataframes. I tried using

...

ANSWER

Answered 2022-Apr-11 at 22:00

unionByName exists since spark 2.3 but the allowMissingColumns only appeared in spark 3.1, hence the error you obtain in 2.4.

In spark 2.4, you could try to implement the same behavior yourself. That is, transforming df2 so that it contains all the columns from df1. If a column is not in df2, we can set it to null. In scala, you could do it this way:

Source https://stackoverflow.com/questions/71794819

QUESTION

How to run Spark structured streaming using local JAR files

Asked 2022-Mar-10 at 23:24

I'm using one of the Docker images of EMR on EKS (emr-6.5.0:20211119) and investigating how to work on Kafka with Spark Structured Programming (pyspark). As per the integration guide, I run a Python script as following.

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ANSWER

Answered 2022-Mar-07 at 21:10

You would use --jars to refer to local filesystem in-place of --packages

Source https://stackoverflow.com/questions/71375512

QUESTION

java.lang.VerifyError: Operand stack overflow for google-ads API and SBT

Asked 2022-Mar-03 at 07:10

I am trying to migrate from Google-AdWords to google-ads-v10 API in spark 3.1.1 in EMR. I am facing some dependency issues due to conflicts with existing jars. Initially, we were facing a dependency related to Protobuf jar:

...

ANSWER

Answered 2022-Mar-02 at 18:58

I had a similar issue and I changed the assembly merge strategy to this:

Source https://stackoverflow.com/questions/71322912

QUESTION

Unable to find Databricks spark sql avro shaded jars in any public maven repository

Asked 2022-Feb-19 at 15:54

We are trying to create avro record with confluent schema registry. The same record we want to publish to kafka cluster.

To attach schema id to each records (magic bytes) we need to use--
to_avro(Column data, Column subject, String schemaRegistryAddress)

To automate this we need to build project in pipeline & configure databricks jobs to use that jar.

Now the problem we are facing in notebooks we are able to find a methods with 3 parameters to it.
But the same library when we are using in our build downloaded from https://mvnrepository.com/artifact/org.apache.spark/spark-avro_2.12/3.1.2 its only having 2 overloaded methods of to_avro

Is databricks having some other maven repository for its shaded jars?

NOTEBOOK output

...

ANSWER

Answered 2022-Feb-14 at 15:17

No, these jars aren't published to any public repository. You may check if the databricks-connect provides these jars (you can get their location with databricks-connect get-jar-dir), but I really doubt in that.

Another approach is to mock it, for example, create a small library that will declare a function with specific signature, and use it for compilation only, don't include into the resulting jar.

Source https://stackoverflow.com/questions/71069226

QUESTION

Spring Boot Logging to a File

Asked 2022-Feb-16 at 14:49

In my application config i have defined the following properties:

...

ANSWER

Answered 2022-Feb-16 at 13:12

Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location

Can you try to save the properties without the spaces.

Like this: logging.file.name=application.logs

Source https://stackoverflow.com/questions/71142413

QUESTION

how come scala code gets compiled with Java?

Asked 2022-Jan-07 at 13:06

I'm trying to understand how Scala code works with Java in Java's IDE. I got this doubt while working with Spark Java where I saw Scala packages too in code and using respective classes and methods.

My understanding says, Scala code need Scala's compiler to convert into Java.class files and then from their onwards JDK do its part in JVM to convert into binaries and do actions. Please correct me if am wrong.

After that, In my spark Java project in eclipse, I couldnt see anywhere where scala compiler is being pointed.

This is my pom.xml

...

ANSWER

Answered 2022-Jan-07 at 12:32

Dependencies ship in class file form. That JavaConverters class must indeed be compiled by scalac. However, the maintainers of janino have done this on their hardware, shipped the compiled result to mavencentral's servers, which distributed it to all mirrors, which is how it ended up on your system's disk, which is why you do not need scalac to use it.

Source https://stackoverflow.com/questions/70621271

QUESTION

SBT run with provided works under the '.' projects but fails with no mercy under any subprojects

Asked 2021-Dec-29 at 08:55

I'm working with latest sbt.version=1.5.7.

My assembly.sbt is nothing more than addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "1.1.0") .

I have to work with a subprojects due to requirement need.

I am facing the Spark dependencies with provided scope similar to this post: How to work efficiently with SBT, Spark and "provided" dependencies?

As the above post said, I can manage to Compile / run under the root project but fails when Compile / run in the subproject.

Here's my build.sbt detail:

...

ANSWER

Answered 2021-Dec-27 at 04:45

Please try to add dependsOn

Source https://stackoverflow.com/questions/70485137

QUESTION

Why is adding org.apache.spark.avro dependency is mandatory to read/write avro files in Spark2.4 while I'm using com.databricks.spark.avro?

Asked 2021-Dec-21 at 01:12

I tried to run my Spark/Scala code 2.3.0 on a Cloud Dataproc cluster 1.4 where there's Spark 2.4.8 installed. I faced an error concerning the reading of avro files. Here's my code :

...

ANSWER

Answered 2021-Dec-21 at 01:12

This is historic artifact of the fact that initially Spark Avro support was added by Databricks in their proprietary Spark Runtime as com.databricks.spark.avro format, when Sark Avro support was added to open-source Spark as avro format then, for backward compatibility, support of the com.databricks.spark.avro format was retained if spark.sql.legacy.replaceDatabricksSparkAvro.enabled property is set to true:

If it is set to true, the data source provider com.databricks.spark.avro is mapped to the built-in but external Avro data source module for backward compatibility.

Source https://stackoverflow.com/questions/70395056

QUESTION

AVRO file not read fully by Spark

Asked 2021-Nov-16 at 13:43

I am reading AVRO file stored on ADLS gen2 using Spark as following:

...

ANSWER

Answered 2021-Nov-16 at 13:43

To fully display all of the column you can use:

Source https://stackoverflow.com/questions/69971244

QUESTION

apply Window.partitionBy for two columns to get n-core dataset in pyspark

Asked 2021-Nov-15 at 09:12

I have a data set of 2M entries with user,item,rating information. I want to filter out data so that it includes items that are rated by at least 2 users and users that rated at least 2 items. I can get one constraint done using a window function but not sure how to get both done.

input:

user product rating J p1 3 J p2 4 M p1 4 M p3 3 B p2 3 B p4 3 B p3 3 N p3 2 N p5 4

here is sample data.

...

ANSWER

Answered 2021-Nov-15 at 07:11

How about the below?

Source https://stackoverflow.com/questions/69969678

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

Vulnerabilities

No vulnerabilities reported

Install spark-avro

You can download it from GitHub.

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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