spark-sas7bdat | Input Format for Hadoop and Spark SQL

by saurfang Scala Version: v3.0.0 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | spark-sas7bdat Summary

spark-sas7bdat is a Scala library typically used in Big Data, Spark, Hadoop applications. spark-sas7bdat has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Splittable SAS (.sas7bdat) Input Format for Hadoop and Spark SQL

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Quality

Security

License

Reuse

Support

spark-sas7bdat has a low active ecosystem.

It has 81 star(s) with 39 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 18 open issues and 43 have been closed. On average issues are closed in 199 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spark-sas7bdat is v3.0.0

Quality

spark-sas7bdat has 0 bugs and 9 code smells.

Security

spark-sas7bdat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spark-sas7bdat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-sas7bdat 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-sas7bdat releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

It has 1089 lines of code, 36 functions and 15 files.

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

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spark-sas7bdat Key Features

No Key Features are available at this moment for spark-sas7bdat.

spark-sas7bdat Examples and Code Snippets

Scala API

Scala

Lines of Code : 17

License : Permissive (Apache-2.0)

Copy

val df = {
  spark.read
    .format("com.github.saurfang.sas.spark")
    .option("forceLowercaseNames", true)
    .option("inferLong", true)
    .load("cars.sas7bdat")
}
df.write.format("csv").option("header", "true").save("newcars.csv")

import com.

SQL API

Scala

Lines of Code : 3

License : Permissive (Apache-2.0)

Copy

CREATE TEMPORARY VIEW cars
USING com.github.saurfang.sas.spark
OPTIONS (path="cars.sas7bdat")

Python API

Scala

Lines of Code : 2

License : Permissive (Apache-2.0)

Copy

df = spark.read.format("com.github.saurfang.sas.spark").load("cars.sas7bdat", forceLowercaseNames=True, inferLong=True)
df.write.csv("newcars.csv", header=True)

Community Discussions

Trending Discussions on spark-sas7bdat

AWS EMR: File exists but error says file does not exist

QUESTION

AWS EMR: File exists but error says file does not exist

Asked 2021-Sep-15 at 01:32

I created an AWS EMR Spark cluster with Release label:emr-6.2.0 Hadoop distribution:Amazon Applications:Spark 3.0.1, Zeppelin 0.9.0 and copied all my local files(.jars, .py, .csv and sas7bdat) to the cluster master

When I do

...

ANSWER

Answered 2021-Sep-13 at 05:26

Spark will look for the files on HDFS. Copy the file to HDFS and rerun the job.

Source https://stackoverflow.com/questions/69157552

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

Vulnerabilities

No vulnerabilities reported

Install spark-sas7bdat

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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