---
title: Charmhub | Deploy Spark using Charmhub - The Open Operator Collection
description: Deploy the latest version of Spark on any cloud.
url: https://charmhub.io/spark/configurations
---

# Spark

[Big Data Charmers](https://charmhub.io/publisher/bigdata-charmers "View all packages from Big Data Charmers")

* [Big Data Charmers](https://charmhub.io/publisher/bigdata-charmers "View all packages from Big Data Charmers")
* [Big Data](https://charmhub.io/?filter=big-data)

Platform:

18.04

16.04

14.04

stable 73

```
juju deploy spark
```

[Learn to deploy on juju >](https://juju.is/docs/juju/manage-applications)

* [bigtop\_version](https://charmhub.io/spark/configurations#bigtop_version)
* [cuda-version](https://charmhub.io/spark/configurations#cuda-version)
* [driver\_memory](https://charmhub.io/spark/configurations#driver_memory)
* [executor\_memory](https://charmhub.io/spark/configurations#executor_memory)
* [install-cuda](https://charmhub.io/spark/configurations#install-cuda)
* [spark\_bench\_enabled](https://charmhub.io/spark/configurations#spark_bench_enabled)
* [spark\_bench\_url](https://charmhub.io/spark/configurations#spark_bench_url)
* [spark\_execution\_mode](https://charmhub.io/spark/configurations#spark_execution_mode)

[Learn about configurations >](https://juju.is/docs/juju/configuration#heading--application-configuration)

* bigtop\_version | string

  Default: 1.2.1

  Apache Bigtop release version. The default, '1.2.1' will use the
  current GA release, Bigtop 1.2.1, for all hiera data, puppet recipes,
  and installable packages. Set this to 'master' to use the latest
  upstream bits.
* cuda-version | string

  Default: 9.1.85-1

  Version of the cuda-repo deb to install. Valid options can be found at:
  http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86\_64
* driver\_memory | string

  Default: 1g

  Specify gigabytes (e.g. 1g) or megabytes (e.g. 1024m). If running
  in 'local' or 'standalone' mode, you may also specify a percentage
  of total system memory (e.g. 50%).
* executor\_memory | string

  Default: 1g

  Specify gigabytes (e.g. 1g) or megabytes (e.g. 1024m). If running
  in 'local' or 'standalone' mode, you may also specify a percentage
  of total system memory (e.g. 50%).
* install-cuda | boolean

  Default: True

  Install the CUDA binaries if capable hardware is present (True by
  default). Set to False to disable CUDA installation regardless of
  capable hardware.
* spark\_bench\_enabled | boolean

  When set to 'true', this charm will download and install the
  Spark-Bench benchmark suite from the configured URLs. When set to
  'false' (the default), Spark-Bench will not be installed on the
  unit, though any data stored in hdfs:///user/ubuntu/spark-bench
  from previous installations will be preserved. Note that
  Spark-Bench has not been verified to work with Spark 2.1.x.
* spark\_bench\_url | string

  Default: https://s3.amazonaws.com/jujubigdata/ibm/noarch/SparkBench-2.0-20170403.tgz#sha256=709caec6667dd82e42de25eb8bcd5763ca894e99e5c83c97bdfcf62cb1aa00c8

  URL (including hash) of a Spark-Bench tarball. By
  default, this points to a pre-built Spark-Bench binary based on
  sources in the upstream repository. This option is only valid when
  'spark\_bench\_enabled' is 'true'.
* spark\_execution\_mode | string

  Default: standalone

  Options are "local", "standalone", "yarn-client", and
  "yarn-cluster". Consult the readme for details on these options.