target-csv - Meltano Hub

Comma Separated Values (CSV)

target-csv (meltanolabs variant)

CSV loader

The target-csv loader sends data into Comma Separated Values (CSV) after it was pulled from a source using an extractor

Available Variants

hotgluexyz (default)
meltanolabs
singer-io

Getting Started

Prerequisites

If you haven't already, follow the initial steps of the Getting Started guide:

Installation and configuration

Add the target-csv loader to your project using
```
meltano add
```
:

meltano add loader target-csv --variant meltanolabs

Configure the target-csv settings using

meltano config

:

meltano config target-csv set --interactive

Next steps

Follow the remaining steps of the Getting Started guide:

Run a data integration (EL) pipeline

If you run into any issues, learn how to get help.

Capabilities

The current capabilities for target-csv may have been automatically set when originally added to the Hub. Please review the capabilities when using this loader. If you find they are out of date, please consider updating them by making a pull request to the YAML file that defines the capabilities for this loader.

This plugin has the following capabilities:

about
schema-flattening
stream-maps

You can override these capabilities or specify additional ones in your meltano.yml by adding the capabilities key.

Settings

The target-csv settings that are known to Meltano are documented below. To quickly find the setting you're looking for, click on any setting name from the list:

datestamp_format
file_naming_scheme
flattening_enabled
flattening_max_depth
output_path_prefix
overwrite_behavior
record_sort_property_name
stream_map_config
stream_maps
timestamp_format
timestamp_timezone

You can also list these settings using

meltano config

with the list subcommand:

meltano config target-csv list

You can override these settings or specify additional ones in your meltano.yml by adding the settings key.

Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.

Datestamp Format (datestamp_format)

Environment variable: TARGET_CSV_DATESTAMP_FORMAT
Default Value: %Y-%m-%d

A python format string to use when outputting the {datestamp} string. For reference, see: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes

Configure this setting directly using the following Meltano command:

meltano config target-csv set datestamp_format [value]

File Naming Scheme (file_naming_scheme)

Environment variable: TARGET_CSV_FILE_NAMING_SCHEME
Default Value: {stream_name}.csv

The scheme with which output files will be named. Naming scheme may leverage any of the following substitutions:

{stream_name}- {datestamp}- {timestamp}

Configure this setting directly using the following Meltano command:

meltano config target-csv set file_naming_scheme [value]

Flattening Enabled (flattening_enabled)

Environment variable: TARGET_CSV_FLATTENING_ENABLED

'True' to enable schema flattening and automatically expand nested properties.

Configure this setting directly using the following Meltano command:

meltano config target-csv set flattening_enabled [value]

Flattening Max Depth (flattening_max_depth)

Environment variable: TARGET_CSV_FLATTENING_MAX_DEPTH

The max depth to flatten schemas.

Configure this setting directly using the following Meltano command:

meltano config target-csv set flattening_max_depth [value]

Output Path Prefix (output_path_prefix)

Environment variable: TARGET_CSV_OUTPUT_PATH_PREFIX

Optional path prefix which will be prepended to the file path indicated by file_naming_schema.

Configure this setting directly using the following Meltano command:

meltano config target-csv set output_path_prefix [value]

Overwrite Behavior (overwrite_behavior)

Environment variable: TARGET_CSV_OVERWRITE_BEHAVIOR
Default Value: replace_file

Determines the overwrite behavior if destination file already exists. Must be one of the following string values:

append_records (default) - append records at the insertion point
replace_file - replace entire file using default_CSV_template

Configure this setting directly using the following Meltano command:

meltano config target-csv set overwrite_behavior [value]

Record Sort Property Name (record_sort_property_name)

Environment variable: TARGET_CSV_RECORD_SORT_PROPERTY_NAME

A property in the record which will be used as a sort key.

If this property is omitted, records will not be sorted.

Configure this setting directly using the following Meltano command:

meltano config target-csv set record_sort_property_name [value]

Stream Map Config (stream_map_config)

Environment variable: TARGET_CSV_STREAM_MAP_CONFIG

User-defined config values to be used within map expressions.

Configure this setting directly using the following Meltano command:

meltano config target-csv set stream_map_config [value]

Stream Maps (stream_maps)

Environment variable: TARGET_CSV_STREAM_MAPS

Allows inline stream transformations and aliasing. For more information see: https://sdk.meltano.com/en/latest/stream_maps.html

Configure this setting directly using the following Meltano command:

meltano config target-csv set stream_maps [value]

Timestamp Format (timestamp_format)

Environment variable: TARGET_CSV_TIMESTAMP_FORMAT
Default Value: %Y-%m-%d.T%H%M%S

A python format string to use when outputting the {timestamp} string. For reference, see: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes

Configure this setting directly using the following Meltano command:

meltano config target-csv set timestamp_format [value]

Timestamp Timezone (timestamp_timezone)

Environment variable: TARGET_CSV_TIMESTAMP_TIMEZONE
Default Value: UTC

The timezone code or name to use when generating {timestamp} and {datestamp}. Defaults to 'UTC'. For a list of possible values, please see: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones

Configure this setting directly using the following Meltano command:

meltano config target-csv set timestamp_timezone [value]

Something missing?

This page is generated from a YAML file that you can contribute changes to.

Edit it on GitHub!

Looking for help?

If you're having trouble getting the target-csv loader to work, look for an existing issue in its repository, file a new issue, or join the Meltano Slack community and ask for help in the

#plugins-general

channel.

Install

meltano add loader target-csv --variant meltanolabs

Maintenance Status

Repo

https://github.com/MeltanoLabs/target-csv

Maintainer

Meltano Stats

Keywords