arc-big-query-pipeline-plugin
Plugin to support extract and load using the spark-bigquery-connector
Note: Experimental
Adds extract and load stages for Google BigQuery using the Apache Spark SQL connector for Google BigQuery
License |
License |
---|---|
GroupId | GroupIdai.tripl |
ArtifactId | ArtifactIdarc-big-query-pipeline-plugin_2.12 |
Last Version | Last Version1.8.0 |
Release Date | Release Date |
Type | Typejar |
Description |
Descriptionarc-big-query-pipeline-plugin
arc-big-query-pipeline-plugin
|
Project URL |
Project URL |
Project Organization |
Project Organization |
Source Code Management |
Source Code Management |
<!-- https://jarcasting.com/artifacts/ai.tripl/arc-big-query-pipeline-plugin_2.12/ -->
<dependency>
<groupId>ai.tripl</groupId>
<artifactId>arc-big-query-pipeline-plugin_2.12</artifactId>
<version>1.8.0</version>
</dependency>
// https://jarcasting.com/artifacts/ai.tripl/arc-big-query-pipeline-plugin_2.12/
implementation 'ai.tripl:arc-big-query-pipeline-plugin_2.12:1.8.0'
// https://jarcasting.com/artifacts/ai.tripl/arc-big-query-pipeline-plugin_2.12/
implementation ("ai.tripl:arc-big-query-pipeline-plugin_2.12:1.8.0")
'ai.tripl:arc-big-query-pipeline-plugin_2.12:jar:1.8.0'
<dependency org="ai.tripl" name="arc-big-query-pipeline-plugin_2.12" rev="1.8.0">
<artifact name="arc-big-query-pipeline-plugin_2.12" type="jar" />
</dependency>
@Grapes(
@Grab(group='ai.tripl', module='arc-big-query-pipeline-plugin_2.12', version='1.8.0')
)
libraryDependencies += "ai.tripl" % "arc-big-query-pipeline-plugin_2.12" % "1.8.0"
[ai.tripl/arc-big-query-pipeline-plugin_2.12 "1.8.0"]
Group / Artifact | Type | Version |
---|---|---|
org.scala-lang : scala-library | jar | 2.12.12 |
com.google.cloud.spark : spark-bigquery-with-dependencies_2.12 | jar | 0.19.1 |
Group / Artifact | Type | Version |
---|---|---|
ai.tripl : arc_2.12 | jar | 3.7.0 |
org.apache.spark : spark-sql_2.12 | jar | 3.0.1 |
Group / Artifact | Type | Version |
---|---|---|
org.scalatest : scalatest_2.12 | jar | 3.0.7 |
Plugin to support extract and load using the spark-bigquery-connector
Note: Experimental
Adds extract and load stages for Google BigQuery using the Apache Spark SQL connector for Google BigQuery