![]() Nominal to Numerical operator: Unique integers method of Nominal to Numerical is not supported on Impala. You may use the Hive Script operator to perform a sort by using an explicit LIMIT clause as well.Īdd Noise operator: Add Noise is not supported on Impala. Sort operator: Impala does not support the ORDER BY clause without a LIMIT specified (or, since Impala version 1.4.0, only with certain restrictions that Radoop does not comply with). The following list contains the features unsupported by the Impala 1.2.3 release. To be able to use MLlib functions in Python, please also install the numpy package.īecause of PARQUET-136 Hive version 1.2.0 or later is recommended.Ĭonsider the following differences between using Hive and Impala as the query engine for RapidMiner Radoop. Hadoop fs -put /tmp/spark-1.6.0-bin-hadoop2.6/lib/spark-assembly-1.6.0-hadoop2.6.0.jar /tmp/spark/įor using the Spark Script operator, you need to have Python 2.6+ or Python 3.4+ (for PySpark scripts) and R 3.1+ (for SparkR scripts) installed on the cluster nodes. Installing Spark 1.6.0 for Hadoop 2.6 or later (you need to change the download link and the path for older Hadoop or newer Spark versions): hadoop fs -mkdir -p /tmp/spark Please take care that the package type should meet your cluster setup. You can do so by downloading it from the Apache Spark download page. If you want to use every Spark operator and your Hadoop cluster does not have 1.6 or above, then it needs to be installed on the cluster manually. See the table below for information for which Radoop Spark operators work with specific Spark versions. RapidMiner Radoop supports most Spark versions 1.6.0 and above. Below you can find detailed descriptions about the Spark requirements on the cluster.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |