Input: s3

Stream data from a S3 Object

Field Summary

Field Name	Type	Description	Default
when	message_filter	Fire this input when a specific internal message occurs	-
interval	duration	How often to run the command	-
cron	cron	How often to run the command. Note that unlike standard Cron, Pipes use a Cron syntax that includes a column for seconds. See full discussion	-
immediate	bool	Run as soon as invoked, instead of waiting for the specified cron interval	false
random-offset	duration	Sets a random offset to the schedule, then sticks to it	0s
window	Window	For resources that need a time window to be specified	-
block	bool	Block further input schedules from triggering if the pipe output is retrying	false
bucket-name	string	The storage service container for created blobs	-
object-names	array of strings	The name for the blob	-
object-name-field	field	The field that a blob name from an operation should be stored in	-
creation-time-field	field	The field that the blob creation time should be stored in	-
last-modified-field	field	The field that the blob last modified time should be stored in	-
content-length-field	field	The field that the blob content length information should be stored in	-
content-type-field	field	The field that the blob content type information should be stored in	-
etag-field	field	The field that the object ETag should be stored in	-
data-field	field	A field that the blob data should be nested in	-
region	string	Region	-
endpoint	string	S3 Endpoint	-
access-key	string	Access Key ID	-
secret-key	string	Secret Key ID	-
security-token	string	Security Token	-
session-token	string	Session Token	-
timestamp-mode	S3ObjectTimestampMode	Derive a timestamp for this blob for filtering purposes based on the selected strategy.	-
maximum-age	MaxAgeSpecifier	Remove any object older than this many seconds from the candidate list	-
mode	S3BlockInputMode	The operating mode for this input	-
fingerprinting	bool	Enable object fingerprinting, which will cause a object to only be downloaded once	false
fingerprinting-db-path	path	Specify a custom path for the fingerprinting database	-
maximum-fingerprint-age	MaxAgeSpecifier	Remove any object fingerprints older than this from the tracker	30 days
preprocessors	PreProcessor	Preprocessors (process downloaded data before making it available to the pipeline) these processors will be run in the order they are specified	-

Fields

`when`

Type: message_filter

Fire this input when a specific internal message occurs

This field overloads time-based scheduling with a scheduler that fires on matching messages.

Example

Pipe Language Snippet:

input:
  http-poll:
    when:
      message-received:
        filter-type:
          - pipe-idle
    url: "http://localhost:8888"
    raw: true
    ignore-line-breaks: true

`interval`

Type: duration

How often to run the command

By default, interval: 0s which means: once. Note that scheduled inputs set document markers. See full discussion

Example

Pipe Language Snippet:

exec:
  command: echo 'once a day'
  interval: 1d

`cron`

Type: cron

How often to run the command. Note that unlike standard Cron, Pipes use a Cron syntax that includes a column for seconds. See full discussion

Example: Once a day

Pipe Language Snippet:

exec:
  command: echo 'once a day'
  cron: '0 0 0 * * *'

Example: Once a day, using a convenient shortcut

Pipe Language Snippet:

exec:
  command: echo 'once a day'
  cron: '@daily'

`immediate`

Type: bool

Default: false

Run as soon as invoked, instead of waiting for the specified cron interval

Example: Run immediately on invocation, and thereafter at 10h every morning

Pipe Language Snippet:

exec:
  command: echo 'hello'
  immediate: true
  cron: '0 0 10 * * *'

`random-offset`

Type: duration

Default: 0s

Sets a random offset to the schedule, then sticks to it

This can help avoid the thundering herd problem, where you do not, for example, want to overload some service at 00:00:00

Example: Would fire up to a minute after every hour

Pipe Language Snippet:

exec:
  command: echo 'hello'
  random-offset: 1m
  cron: '0 0 * * * *'

`window`

Type: Window

For resources that need a time window to be specified

Field Name	Type	Description	Default
size	duration	Window size	-
offset	duration	Window offset	0s
start-time	time	Allows the windowing to start at a specified time	-
highwatermark-file	path	Specify file where timestamp would be stored in order to resume, for when Pipe has been restarted	-

`size`

Type: duration

Window size

Example

Pipe Language Snippet:

exec:
  command: echo 'one two'
  window:
    size: 1m

`offset`

Type: duration

Default: 0s

Window offset

Example

Pipe Language Snippet:

exec:
  command: echo 'one two'
  window:
    size: 1m
    offset: 10s

`start-time`

Type: time

Allows the windowing to start at a specified time

It should in the following format: 2019-07-10 18:45:00.000 +0200

Example

Pipe Language Snippet:

exec:
  command: echo 'one two'
  window:
    size: 1m
    start-time: 10s

`highwatermark-file`

Type: path

Specify file where timestamp would be stored in order to resume, for when Pipe has been restarted

Example

Pipe Language Snippet:

exec:
  command: echo 'one two'
  window:
    size: 1m
    highwatermark-file:: /tmp/mark.txt

`block`

Type: S3ObjectTimestampMode

Derive a timestamp for this blob for filtering purposes based on the selected strategy.

Field Name	Type	Description	Default
none		The default mode, do not filter object based on timestamps	-
last-modified		Filter object on the last-modified timestamp reported by the service	-
blob-name-pattern	string	Filter blobs on the timestamp derived from the object name for example: `object-name-pattern: =(?P<Y>[\\d]{4,4})-(?P<m>[\\d]{2,2})-(?P<d>[\\d]{2,2})/`	-

`none`

The default mode, do not filter object based on timestamps

`last-modified`

Filter object on the last-modified timestamp reported by the service

`blob-name-pattern`

Type: string

Filter blobs on the timestamp derived from the object name for example: object-name-pattern: =(?P<Y>[\\d]{4,4})-(?P<m>[\\d]{2,2})-(?P<d>[\\d]{2,2})/

`maximum-age`

Type: MaxAgeSpecifier

Remove any object older than this many seconds from the candidate list

Field Name	Type	Description	Default
seconds	integer	Specify the maximum age in number of seconds	-
duration	string	Specify the maximum age as a human readable duration (example: 1 hour)	-

`seconds`

Type: integer

Specify the maximum age in number of seconds

`duration`

Type: string

Specify the maximum age as a human readable duration (example: 1 hour)

`mode`

Type: S3BlockInputMode

The operating mode for this input

Field Name	Description	Default
list-objects	List Objects	-
download-objects	Download Given Objects	-
list-and-download-objects	List Objects and Download	-

`list-objects`

List Objects

`download-objects`

Download Given Objects

`list-and-download-objects`

List Objects and Download

`fingerprinting`

Type: bool

Default: false

Enable object fingerprinting, which will cause a object to only be downloaded once

`fingerprinting-db-path`

Type: path

Specify a custom path for the fingerprinting database

`maximum-fingerprint-age`

Type: MaxAgeSpecifier

Default: 30 days

Remove any object fingerprints older than this from the tracker

Field Name	Type	Description	Default
seconds	integer	Specify the maximum age in number of seconds	-
duration	string	Specify the maximum age as a human readable duration (example: 1 hour)	-

`seconds`

Type: integer

Specify the maximum age in number of seconds

`duration`

Type: string

Specify the maximum age as a human readable duration (example: 1 hour)

`preprocessors`

Type: PreProcessor

Preprocessors (process downloaded data before making it available to the pipeline) these processors will be run in the order they are specified

Field Name	Description	Default
extension	Preprocess the object or blob based on the extension of the object or blob name (.gz, .parquet)	-
gzip	UnGzip the received data	-
parquet	Extract the received data as JSON rows from a parquet file	-

`extension`

Preprocess the object or blob based on the extension of the object or blob name (.gz, .parquet)

`gzip`

UnGzip the received data

`parquet`

Extract the received data as JSON rows from a parquet file

Input: s3

Field Summary​

Fields​

when​

interval​

cron​

immediate​

random-offset​

window​

size​

offset​

start-time​

highwatermark-file​

block​

bucket-name​

object-names​

object-name-field​

creation-time-field​

last-modified-field​

content-length-field​

content-type-field​

etag-field​

data-field​

region​

endpoint​

access-key​

secret-key​

security-token​

session-token​

timestamp-mode​

none​

last-modified​

blob-name-pattern​

maximum-age​

seconds​

duration​

mode​

list-objects​

download-objects​

list-and-download-objects​

fingerprinting​

fingerprinting-db-path​

maximum-fingerprint-age​

seconds​

duration​

preprocessors​

extension​

gzip​

parquet​

Field Summary

Fields

`when`

`interval`

`cron`

`immediate`

`random-offset`

`window`

`size`

`offset`

`start-time`

`highwatermark-file`

`block`

`bucket-name`

`object-names`

`object-name-field`

`creation-time-field`

`last-modified-field`

`content-length-field`

`content-type-field`

`etag-field`

`data-field`

`region`

`endpoint`

`access-key`

`secret-key`

`security-token`

`session-token`

`timestamp-mode`

`none`

`last-modified`

`blob-name-pattern`

`maximum-age`

`seconds`

`duration`

`mode`

`list-objects`

`download-objects`

`list-and-download-objects`

`fingerprinting`

`fingerprinting-db-path`

`maximum-fingerprint-age`

`seconds`

`duration`

`preprocessors`

`extension`

`gzip`

`parquet`