Amazon Elastic MapReduce (Amazon EMR) is a web service that enables businesses, researchers, data analysts, and developers to easily and cost-effectively process vast amounts of data.
I am creating a job to parse massive amounts of server data, and then upload it into a Redshift database. …
python amazon-s3 apache-spark pyspark amazon-emrWe are running spark 2.3.0 on AWS EMR. The following DataFrame "df" is non empty and of modest size: scala> …
apache-spark amazon-emrAfter running a spark job on an Amazon EMR cluster, I deleted the output files directly from s3 and tried …
amazon-s3 pyspark amazon-emrCurrently I have a HIVE 0.7 instance on Amazon EMR. I am trying to create a duplicate of this instance on …
hadoop hive hdfs amazon-emr external-tablesI'm trying to install the pyarrow on a master instance of my EMR cluster, however I'm always receiving this error. […
python-3.x cmake pip amazon-emr pyarrowI have a large (about 85 GB compressed) gzipped file from s3 that I am trying to process with Spark on …
apache-spark gzip amazon-emrI am using latest AWS Hive version 0.13.0. FAILED: ParseException: cannot recognize input near 'exchange' 'string' ',' in column specification …
hadoop amazon-web-services hive amazon-emr hadoop-partitioningDoes anyone know of a Scala SDK for Amazon Web Services? I am particularly interested in the EMR jobs.
scala amazon-web-services emr amazon-emrIm using the CLI for AWS to create a cluster and use the parameters from a json file. Here is …
amazon-web-services aws-cli amazon-emrI want to be able to create EMR clusters, and for those clusters to send messages back to some central …
amazon-web-services hadoop amazon-emr