License |
License |
---|---|
GroupId | GroupIdtech.mlsql |
ArtifactId | ArtifactIdstreamingpro-spark-2.4.0-adaptor_2.11 |
Last Version | Last Version2.1.0 |
Release Date | Release Date |
Type | Typejar |
Description |
DescriptionWith MLSQL,you can unify big data and machine learning,one language, one platform.
|
<!-- https://jarcasting.com/artifacts/tech.mlsql/streamingpro-spark-2.4.0-adaptor_2.11/ -->
<dependency>
<groupId>tech.mlsql</groupId>
<artifactId>streamingpro-spark-2.4.0-adaptor_2.11</artifactId>
<version>2.1.0</version>
</dependency>
// https://jarcasting.com/artifacts/tech.mlsql/streamingpro-spark-2.4.0-adaptor_2.11/
implementation 'tech.mlsql:streamingpro-spark-2.4.0-adaptor_2.11:2.1.0'
// https://jarcasting.com/artifacts/tech.mlsql/streamingpro-spark-2.4.0-adaptor_2.11/
implementation ("tech.mlsql:streamingpro-spark-2.4.0-adaptor_2.11:2.1.0")
'tech.mlsql:streamingpro-spark-2.4.0-adaptor_2.11:jar:2.1.0'
<dependency org="tech.mlsql" name="streamingpro-spark-2.4.0-adaptor_2.11" rev="2.1.0">
<artifact name="streamingpro-spark-2.4.0-adaptor_2.11" type="jar" />
</dependency>
@Grapes(
@Grab(group='tech.mlsql', module='streamingpro-spark-2.4.0-adaptor_2.11', version='2.1.0')
)
libraryDependencies += "tech.mlsql" % "streamingpro-spark-2.4.0-adaptor_2.11" % "2.1.0"
[tech.mlsql/streamingpro-spark-2.4.0-adaptor_2.11 "2.1.0"]
Group / Artifact | Type | Version |
---|---|---|
org.apache.spark : spark-sql_2.11 | jar | 2.4.3 |
org.apache.spark : spark-mllib_2.11 | jar | 2.4.3 |
org.apache.spark : spark-graphx_2.11 | jar | 2.4.3 |
org.apache.spark : spark-streaming-kafka-0-8_2.11 | jar | 2.4.3 |
org.apache.spark : spark-sql-kafka-0-10_2.11 | jar | 2.4.3 |
org.scala-lang : scala-library | jar | 2.11.12 |
org.scala-lang : scala-reflect | jar | 2.11.12 |
Group / Artifact | Type | Version |
---|---|---|
org.scalatest : scalatest_2.11 | jar | 3.0.3 |
org.pegdown : pegdown | jar | 1.6.0 |