Install the Fauna Data Manager

This page covers the requirements and installation procedure for the Fauna Data Manager:

Requirements

Run the following command to determine whether you already have Java installed, and if so, which version:

java -version

Install

  1. Download the Fauna Data Manager from the following link: https://fauna-repo.s3.amazonaws.com/fdm/fdm.zip

  2. Use your operating system’s ZIP archiving tools to extract the contents of fdm.zip. For example, in a terminal window:

    unzip fdm.zip

    A directory containing the Fauna Data Manager is created, and the directory name includes the current version number. You can add that directory to your terminal window’s PATH, but that is not required.

Verify the installation

  1. Open a terminal window.

  2. Enter the directory containing the Fauna Data Manager:

    cd fdm-1.14

  3. Run the Fauna Data Manager, with no parameters, to see the help text:

    ./fdm

    If the installation was successful, you should see output similar to:

    2020-04-08.18.32.56
===================

FDM   1.14
2020-04-09 01:24
Loaded property file path: /Users/eskwayrd/fdm-1.14/fdm.props

Field Formatting
================
<<None>>


Usage: FDM   1.14
=================
 -c, --config <path>  Specify the path to the configuration file
 --demo <key>         Create a demo database
 -d, --dest <arg>     The destination options for the data:
                         path=<export directory>
                         key=<secret>
                            uri=<prot://host:port>]
                            collection=[exists | replace ] default=exists
                            index=[exists | replace | ignore] default=exists
                            function=[exists | replace | ignore] default=exists
                            role=[exists | replace | ignore] default=exists
                            data=[copy | ignore] default=copy
 -f, --format <arg>   Specify the field transformation options:
                         <field-name>[->new-name]:<field-type>[(date_format)]
 -h, --help           Print this help text
 -s, --source <arg>   The source option(s) for the data (indented=related):
                         path=<load file or directory>
                         key=<secret>
                            [uri=<prot://host:port>]
                            [pit=<timestamp>]
                         aws=<secret>
                            id=<id>
                            region=<region>
                            bucket=//bucket/folder
                         jdbc=<path>
                            driver=<name>
                            url=<jdbc_url>
                            user=<user>
                            password=<pass>
                            [database=<dbs>]
                            [table=<table>]
 --tsize <size>       Specify the number of documents per transaction
                         Default: 100
 -v, --verbose        Enable verbose output
 -V, --version        Print the tool's version


Examples
===========================================================================

- Copy a database at a point in time:
  fdm -source key=<source_secret> pit=12/1/2018 -dest key=<dest_secret>

- Export a database to the directory '/work/export':
  fdm -source key=<source_secret> pit=12/1/2018 -dest path=/work/export

- Import all JSON and CSV files from the directory '/work/import':
  fdm -source path=/work/import -dest key=<dest_secret>

- Test import of all JSON and CSV files from AWS bucket and folder:
  fdm -source aws=${AWS_SECRET_ACCESS_KEY} id=${AWS_ACCESS_KEY_ID} \
      region=${AWS_DEFAULT_REGION} bucket=//bucket/load -dest dryrun

Logging

When the Fauna Data Manager finds a directory called log in the current directory, it creates a timestamped log file that captures all of the details of a single invocation, and creates a symbolic link to the most recent log file:

$ ls log
fdm.2020-04-08.21.37.47.log  fdm.2020-04-08.21.43.16.log
fdm.2020-04-08.21.39.03.log  fdm.log@

The log files could be useful if you are running multiple invocations of the Fauna Data Manager and need to compare the output between runs. If you encounter an error, the log file would be useful for Fauna support staff.

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