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Project description

sqoopy
======

Python CLI to generate custom [sqoop](http://sqoop.apache.org/) import statements.
Modified from [https://github.com/wikimedia/sqoopy/](https://github.com/wikimedia/sqoopy/).


## Installation

You can install `sqoopy` via `pip`:

```bash
$ pip install sqoopy
```

## Usage

`sqoopy` will generate custom [sqoop](http://sqoop.apache.org/) import statements given a few simple options:

```bash
usage: sqoopy [-h] [-c CONNECT] [-d TARGET_DIR] [-t TABLES] [-x EXCL_TABLES]
[--generate] [--pool-size POOL_SIZE]
[--max-pool-maps MAX_POOL_MAPS] [--min-mbs MIN_MBS]
[--max-mbs MAX_MBS]

Python CLI to generate custom sqoop import statements.

optional arguments:
-h, --help show this help message and exit
-c CONNECT, --connect CONNECT
A jdbc connection string.
-d TARGET_DIR, --target-dir TARGET_DIR
The directory to send output to. If sending to s3, use
"{table}" to insert the table name into the directory.
EG: s3://my-bucket/{table}/
-t TABLES, --tables TABLES
(Optional) comma-separated list of tables that need to
be inspected. If not supplied, all tables will be
imported.
-x EXCL_TABLES, --excl-tables EXCL_TABLES
(Optional) comma-separated list of tables to exclude.
If not supplied and --tables not specified, all tables
will be imported.
--generate Just generate the sqoop commands and print them to the
console.
--pool-size POOL_SIZE
The number of commands to execute concurrently
--max-pool-maps MAX_POOL_MAPS
The number of mappers at which the import of a table
will occur serially, after all other pooled imports
are complete
--min-mbs MIN_MBS The minimim chunk size (in MBs). Used to determine the
number of mappers needed for a given table
--max-mbs MAX_MBS The maximum chunk size (in MBs). Used to determine the
number of mappers needed for a given table
```

You can also passthrough any other `sqoop import` arguments:

```bash
$ sqoopy --connect=sqlite:///tests/test.db --target-dir=s3://foo-bar/{table} --tables=test --split-by id --num-mappers 4
```

This will output:

```
sqoop import --connect=sqlite:///tests/test.db --table=test --target-dir=s3://foo-bar/test/ --split-by id --num-mappers 4
```

## Tests

You can run tests by first installing `nose`:

```
$ pip install nose
$ nosetests
```

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