Add Highcharts support to Apache Spark. Both in spark-shell and Zeppelin.
Make Spark DataFrame visualization simple, flexible, and beautiful.
Install docker if you have not.
docker run -p 8080:8080 -d knockdata/zeppelin-highcharts
the docker image zeppelin-highcharts includes features
- highcharts
- pyspark, include
- git, git lfs, vim
0.6.0: Spark 1.6, Scala 2.10, Zeppelin 0.6.0 0.6.1: Spark 2.0, Scala 2.11, Zeppelin 0.6.1
If you wanna run on your existing zeppelin, follow Use In Zeppelin.
http://localhost:8080
- Open and execute
Zeppelin Tutorial NoteBook
Add a sub praragraph in Zeppelin Tutorial NoteBook
Paste the following code and execute it.
import com.knockdata.spark.highcharts._
import com.knockdata.spark.highcharts.model._
highcharts(bank
.series("x" -> "age", "y" -> avg(col("balance")))
.orderBy(col("age"))).plot()
You will get the following graph
The default version before 0.6 support Spark 1.6. In order to use Spark 2.0, compile with
mvn clean package -Pspark-2.0 -DskipTests
The artifact in the spark interpreter need use jar file for spark-highcharts. And the lift-json need use version for scala 2.11.
/home/rockiey/git/spark-highcharts/target/spark-highcharts-0.6.4.jar
net.liftweb:lift-json_2.11:2.6.3
Type Mapping between Scala and Highcharts
download spark-highcharts and lift-json jar file.
add following line to spark-defaults.conf
spark.jars spark-highcharts-0.6.4.jar,lift-json_2.10-2.6.3.jar
spark-highchart use Apache 2.0 License
However, the Highcharts JavaScript library that is included in this package is not free for commercial use. Please contact Highcharts for license related issues.