The shell may show you something like this, and it may take you a long time to finish the job.Īfter the build is done, go to the "target" folder, then "scala-2.11" folder to get the jar file.Īfter you got the jar file, include it to the Spark cluster. If things go right, you may see this screen:Īfter the above step has done its job, type "package". You may need to close and reopen the shell windows after installing.
#Download neo4j spark connector download
It may require you to download the Java Development Kit. In the Shell windows, type "sbt" then press enter. Open the folder of the repository you have just downloaded, right click in the blank space and click "Open PowerShell windows here".
#Download neo4j spark connector how to
I know there will be a lot of people having trouble with buiding this jar file (include myself of several hours ago), so I will guide you how to build the jar file, step by step: You need to build the repository into the jar file first using SBT. Is there any other package I should include or some special import I'm missing?Įdited: I've tried in scala with same results I'm running the script with spark-submit like this: docker exec spark245_spark_1 /opt/bitnami/spark/bin/spark-submit -driver-class-path /opt/bitnami/spark/jars/mssql-jdbc-8.2.2.jre8.jar -jars /opt/bitnami/spark/jars/mssql-jdbc-8.2.2.jre8.jar -packages :spark-sql-kafka-0-10_2.11:2.4.5 /storage/scripts/some_script.py I found that the way to load data into SQL Data Pool is to use '.spark' format, as this: logs_df.write.format('.spark').mode('append').option('url', url).option('dbtable', datapool_table).option('user', user).option('password', password).option('dataPoolDataSource',datasource_name).save()īut it's giving me this error: 4JJavaError: An error occurred while calling o93.save. : : Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 3, localhost, executor driver): : External Data Pool Table DML statement cannot be used inside a user transaction. ('password', password).option('dbtable', 'SYSLOG_TEST_TABLE').save()īut the same sentence to load data into SQL Data Pool gives me this error: 4JJavaError: An error occurred while calling o93.save. ('url', 'jdbc:sqlserver://:31433 databaseName=sales ').option('user', user).option \ If I want to load data into regular tables, I use this sentence and it goes well: logs_df.write.format('jdbc').mode('append').option('driver', '.SQLServerDriver').option \ I'm using Spark 2.4.5 (Bitnami 2.4.5 spark image). I'm trying to load streaming data from Kafka into SQL Server Big Data Clusters Data Pools.
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