bkosaraju / utils   1.2

Apache License 2.0 GitHub
Scala versions: 2.12

bkosaraju codecov Apache license Apache license Version

Utils

Utils is a library for Application collection of utilities for trigger and track spark Application in

Framework Runners

this package support running applications in various infrastructurs that include

  1. Kubernetes
  2. Databricks
  3. EMR

AWS Helper Utilities

  1. S3
  2. SSM
  3. EMR

Common Helper Utilities

  1. Mail application
  2. Template wrappers
  3. String and Map Manipulations
  4. Crypto Utilities (encryption and decryption Strings/data in tables)
  5. Splunk HEC integration

Spark Utilities

  1. Hash generator
  2. CDC Computation
  3. Column level Encryption and decryption
  4. Dataframe reader (common interface for all apps) and writer

Where can I get the latest release?

You can download source from SCM.

Alternatively you can pull binaries from the central Maven repositories: For mvn:

<dependency>
  <groupId>io.github.bkosaraju</groupId>
  <artifactId>utils_#ScalaVariant#</artifactId>
  <version>#UtilsVersion#</version>
</dependency>
 
<!--Fat/ Assembly Jar-->
<dependency>
  <groupId>io.github.bkosaraju</groupId>
  <artifactId>utils_#ScalaVariant#</artifactId>
  <version>#UtilsVersion#</version>
  <classifier>all</classifier>
</dependency>

for Gradle:

    api group: "io.github.bkosaraju", name: "utils_$scalaVariant", version: "$UtilsVersion"

Build Instructions

./gradlew clean build

> Configure project :

> Task :scaladoc
model contains 174 documentable templates

> Task :test

io.github.bkosaraju.utils.Tests

  Test DataHashGenerator: Able to generate hash for given input dataframe PASSED
  Test DataHashGenerator: Throw exception while not be able to generate hash PASSED
  Test DataHashGenerator: generate Hash for SHA512 PASSED
  Test HubLoader: Able to generate hash for given input dataframe PASSED
  Test HubLoader: Able to generate hash for given input dataframe compared with given Key column PASSED
  Test HubLoader: Throw exception incase if source code is unable to produce delta changes PASSED
  Test stringToMap : Test to be able to convert input params String to Map PASSED
  Test stringToMap : Test to be able to convert input params String to Map in case of empty string PASSED
  Test stringToMap : Unable to convert given string into a Map as that was not in valid keyvalue pair format(k1=v1) PASSED
  Test encryptString :  Encrypt String PASSED
  Test decryptString :  Decrypt String PASSED
  Test encryptFile  : Encrypt  File PASSED
  Test decryptFile : Decrypt File PASSED
  Test decrypt : Raise an exception in case if it cant be decrypted PASSED
  Test getKey : Raise an exception in case if it cant generate key PASSED
  Test encryptFile : Raise an exception in case if it cant encrypt File PASSED
  Test decryptFile : Raise an exception in case if it cant decrypt File PASSED
  Test encryptString : Raise an exception in case if it cant encrypt string PASSED
  Test decryptString : Raise an exception in case if it cant decrypt string PASSED
  Test crypt : Raise an exception in case if there is any issue with crypting the stream PASSED
  Test encrypt : Raise an exception in case if it cant be encrypted PASSED
  Test decrypt  : Raise an exception in case if it cant be decrypted PASSED
  Test DataEncryptorTests: Able to encrypt given input columns in dataframe PASSED
  Test DataEncryptorTests: Able to decrypt given input columns in dataframe PASSED
  Test DataEncryptorTests: Able to decrypt given input columns in dataframe(Date DataType) PASSED
  Test DataEncryptorTests: Throw exception in case if not be able te encrypt columns PASSED
  Test DataEncryptorTests: Throw exception in case if not be able te decrypt columns PASSED
  Test DataEncryptorTests: Throw exception in case if not be able te decrypt columns(with out encryption) PASSED
  Test writeData : Write data into Target location PASSED
  Test writeData : Raise an exception in case if there is any issue with writing the data to HDFS PASSED
  Test SendMail : Able to send mail(raise exception for misconfiguration).. PASSED
  Test SendMail : Able to send mail in HTML format(raise exception for misconfiguration).. PASSED
  Test SendMail : send mail from exception.. PASSED
  Test SendMail : Able to send mail(raise exception for misconfiguration non auth).. PASSED
  Test amendDwsCols : Add Audit columns to source dataframe - Function check PASSED
  Test amendDwsCols : Add Audit columns to source dataframe - Function check with empty keys PASSED
  Test amendDwsCols : Add Audit columns to source dataframe - Column count check PASSED
  Test amendDwsCols : Add Audit columns to source dataframe - Return value check PASSED
  Test amendDwsCols : Raise an exception in-case if there is any issue while amending the data warehousing columns PASSED
  Test Context : Context Creation for SQL PASSED
  Test convNonStdDateTimes : Test Non Standard data types being converted to Standard date and time values - check the count PASSED
  Test convNonStdDateTimes : Test Non Standard data types being converted to Standard date and time values - check data PASSED
  Test convNonStdDateTimes : Test Non Standard data types being converted to Standard date and time values - check results PASSED
  Test convNonStdDateTimes : Raise an exception incase if there is any issue with Converting non Standard date times PASSED
  Test getDeltaDF: Exception in case if system is not able to generate Delta from give dataframes. PASSED
  Test srcToTgtColRename : rename the source columns to target columns PASSED
  Test srcToTgtColRename : Unable to rename column and throws exception in case if there is any issue with given input map PASSED
  Test templateWrapper: Raise an exception in case if there is any issue with template building PASSED
  Test templateWrapper: Successfully transform the template PASSED (7.4s)
  Test MaskSensitiveValuesFromMap: mask the sensitive values PASSED
  Test MaskSensitiveValuesFromMap: mask the sensitive values - exclude non-sensitive values PASSED
  Test MaskSensitiveValuesFromMap: mask the sensitive values - Use custom sensitive value list PASSED
  Test MaskSensitiveValuesFromMap: mask the sensitive values - do not mask if vaule is not specified in sensitive value list PASSED
  Test MaskSensitiveValuesFromMap: mask the sensitive values - use default mask list in case of sensitive values not passed PASSED

SUCCESS: Executed 54 tests in 38.6s



#Artifacts can be found in build/lib directory

Scala Docs

Contributing

Please feel free to raise a pull request in case if you feel like something can be updated or contributed

License

Apache

Statistics

No Dependency

No Dependent