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Accelerate Your Development with com.sparklinedata Source Code JAR Download
Welcome to the page where you can download the JAR file Accelerator 2.10 by com.sparklinedata. This source code JAR file allows you to optimize and accelerate your development process. With this file, you can easily integrate com.sparklinedata's functionalities into your projects, saving time and effort. Enhance your development experience by downloading this JAR file now.
Files of the artifact accelerator_2.10 version 0.2.1 from the group com.sparklinedata.
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Artifact accelerator_2.10
Group com.sparklinedata
Version 0.2.1
Last update 07. August 2016
Organization com.sparklinedata
URL https://github.com/SparklineData/spark-datetime
License Apache License, Version 2.0
Dependencies amount 6
Dependencies scala-library, nscala-time_2.10, httpclient, json4s-ext_2.10, spark-datetime_2.10, scopt_2.10,
There are maybe transitive dependencies!
Group com.sparklinedata
Version 0.2.1
Last update 07. August 2016
Organization com.sparklinedata
URL https://github.com/SparklineData/spark-datetime
License Apache License, Version 2.0
Dependencies amount 6
Dependencies scala-library, nscala-time_2.10, httpclient, json4s-ext_2.10, spark-datetime_2.10, scopt_2.10,
There are maybe transitive dependencies!
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Source code of accelerator_2.10 version 0.2.1
META-INF
org.apache.spark.sql
org.apache.spark.sql.execution.tools
org.apache.spark.sql.hive.sparklinedata
org.apache.spark.sql.hive.thriftserver.sparklinedata
org.apache.spark.sql.hive.thriftserver.sparklinedata.ui
org.apache.spark.sql.planner.logical
org.apache.spark.sql.sources.druid
org.apache.spark.sql.sources.druid.org.apache.spark.sql.sources.druid.DruidQueryResultIterator.scala
org.apache.spark.sql.sparklinedata.commands
org.apache.spark.sql.sparklinedata.execution.metrics
org.apache.spark.sql.util
org.apache.spark.util
org.json4s.jackson.sparklinedata
org.sparklinedata.druid
org.sparklinedata.druid.client
org.sparklinedata.druid.jscodegen
org.sparklinedata.druid.metadata
org.sparklinedata.druid
org.sparklinedata.druid.query
org.sparklinedata.druid.tools
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