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Processors perform some action on your data: filter, transform, enrich, etc.
Prior to Data Prepper 1.3, Processors were named Preppers. Starting in Data Prepper 1.3, the term Prepper is deprecated in favor of Processor. Data Prepper will continue to support the term “Prepper” until 2.0, where it will be removed.
copy_values
Copy values within an event. copy_values is part of mutate event processors.
| Option | Required | Type | Description |
|---|---|---|---|
| entries | Yes | List | List of entries to be copied. Valid values are from_key, to_key, and overwrite_if_key_exists. |
| from_key | N/A | N/A | The key of the entry to be copied. |
| to_key | N/A | N/A | The key of the new entry to be added. |
| overwrite_if_to_key_exists | No | Boolean | If true, the existing value gets overwritten if the key already exists within the event. Default is false. |
delete_entries
Delete entries in an event. delete_entries is part of mutate event processors.
| Option | Required | Type | Description |
|---|---|---|---|
| with_keys | Yes | List | An array of keys of the entries to be deleted. |
rename_keys
Rename keys in an event. rename_keys is part of mutate event processors.
| Option | Required | Type | Description |
|---|---|---|---|
| entries | Yes | List | List of entries. Valid values are from_key, to_key, and overwrite_if_key_exists. Renaming occurs in the order defined. |
| from_key | N/A | N/A | The key of the entry to be renamed. |
| to_key | N/A | N/A | The new key of the entry. |
| overwrite_if_to_key_exists | No | Boolean | If true, the existing value gets overwritten if to_key already exists in the event. |
substitute_string
Matches a key’s value against a regular expression and replaces all matches with a replacement string. substitute_string is part of mutate string processors.
| Option | Required | Type | Description |
|---|---|---|---|
| entries | Yes | List | List of entries. Valid values are source, from, and to. |
| source | N/A | N/A | The key to modify. |
| from | N/A | N/A | The Regex String to be replaced. Special regex characters such as [ and ] must be escaped using \ when using double quotes and \ when using single quotes. See Java Patterns for more information. |
| to | N/A | N/A | The String to be substituted for each match of from. |
split_string
Splits a field into an array using a delimiter character. split_string is part of mutate string processors.
| Option | Required | Type | Description |
|---|---|---|---|
| entries | Yes | List | List of entries. Valid values are source, delimiter, and delimiter_regex. |
| source | N/A | N/A | The key to split. |
| delimiter | No | N/A | The separator character responsible for the split. Cannot be defined at the same time as delimiter_regex. At least delimiter or delimiter_regex must be defined. |
| delimiter_regex | No | N/A | The regex string responsible for the split. Cannot be defined at the same time as delimiter. At least delimiter or delimiter_regex must be defined. |
uppercase_string
Converts a string to its uppercase counterpart. uppercase_string is part of mutate string processors.
| Option | Required | Type | Description |
|---|---|---|---|
| with_keys | Yes | List | A list of keys to convert to uppercase. |
lowercase_string
Converts a string to its lowercase counterpart. lowercase_string is part of mutate string processors.
| Option | Required | Type | Description |
|---|---|---|---|
| with_keys | Yes | List | A list of keys to convert to lowercase. |
trim_string
Strips whitespace from the beginning and end of a key. trim_string is part of mutate string processors.
| Option | Required | Type | Description |
|---|---|---|---|
| with_keys | Yes | List | A list of keys to trim the whitespace from. |
csv
Takes in an Event and parses its CSV data into columns.
| Option | Required | Type | Description |
|---|---|---|---|
| source | No | String | The field in the Event that will be parsed. Default is message. |
| quote_character | No | String | The character used as a text qualifier for a single column of data. Default is double quote “. |
| delimiter | No | String | The character separating each column. Default is ,. |
| delete_header | No | Boolean | If specified, the header on the Event (column_names_source_key) deletes after the Event is parsed. If there’s no header on the Event, no actions is taken. Default is true. |
| column_names_source_key | No | String | The field in the Event that specifies the CSV column names, which will be autodetected. If there must be extra column names, the column names autogenerate according to their index. If column_names is also defined, the header in column_names_source_key can also be used to generate the Event fields. If too few columns are specified in this field, the remaining column names autogenerate. If too many column names are specified in this field, CSV processor omits the extra column names. |
| column_names | No | List | User-specified names for the CSV columns. Default is [column1, column2, …, columnN] if there are N columns of data in the CSV record and column_names_source_key is not defined. If column_names_source_key is defined, the header in column_names_source_key generates the Event fields. If too few columns are specified in this field, the remaining column names will autogenerate. If too many column names are specified in this field, CSV processor omits the extra column names. |
json
Takes in an Event and parses its JSON data, including any nested fields.
| Option | Required | Type | Description |
|---|---|---|---|
| source | No | String | The field in the Event that will be parsed. Default is message. |
| destination | No | String | The destination field of the parsed JSON. Defaults to the root of the Event. Cannot be “”, /, or any whitespace-only String because these are not valid Event fields. |
| pointer | No | String | A JSON Pointer to the field to be parsed. There is no pointer by default, meaning the entire source is parsed. The pointer can access JSON Array indices as well. If the JSON Pointer is invalid then the entire source data is parsed into the outgoing Event. If the pointed-to key already exists in the Event and the destination is the root, then the pointer uses the entire path of the key. |
Routes
Routes define conditions that can be used in sinks for conditional routing. Routes are specified at the same level as processors and sinks under the name route and consist of a list of key-value pairs, where the key is the name of a route and the value is a Data Prepper expression representing the routing condition.
Sinks
Sinks define where Data Prepper writes your data to.
