214ba66a03
## What changes were proposed in this pull request?
Add an install_spark function to the SparkR package. User can run `install_spark()` to install Spark to a local directory within R.
Updates:
Several changes have been made:
- `install.spark()`
- check existence of tar file in the cache folder, and download only if not found
- trial priority of mirror_url look-up: user-provided -> preferred mirror site from apache website -> hardcoded backup option
- use 2.0.0
- `sparkR.session()`
- can install spark when not found in `SPARK_HOME`
## How was this patch tested?
Manual tests, running the check-cran.sh script added in #14173.
Author: Junyang Qian <junyangq@databricks.com>
Closes #14258 from junyangq/SPARK-16579.
43 lines
797 B
Plaintext
43 lines
797 B
Plaintext
Package: SparkR
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Type: Package
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Title: R Frontend for Apache Spark
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Version: 2.0.0
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Date: 2016-07-07
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Author: The Apache Software Foundation
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Maintainer: Shivaram Venkataraman <shivaram@cs.berkeley.edu>
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Depends:
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R (>= 3.0),
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methods
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Suggests:
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testthat,
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e1071,
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survival
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Description: The SparkR package provides an R frontend for Apache Spark.
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License: Apache License (== 2.0)
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Collate:
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'schema.R'
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'generics.R'
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'jobj.R'
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'column.R'
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'group.R'
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'RDD.R'
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'pairRDD.R'
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'DataFrame.R'
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'SQLContext.R'
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'WindowSpec.R'
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'backend.R'
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'broadcast.R'
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'client.R'
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'context.R'
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'deserialize.R'
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'functions.R'
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'install.R'
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'mllib.R'
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'serialize.R'
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'sparkR.R'
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'stats.R'
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'types.R'
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'utils.R'
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'window.R'
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RoxygenNote: 5.0.1
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