WISR Knime Node EmailReader

Description:

This Node wil read emails from a specified email account (server).

Configuration Options

Checks INBOX folder for unseen messages every 60000 ms (by default), until one or more unseen messages are found. If it fails to connect to email server it keeps trying for 15 min before giving up.

Input: one dummy input port, only to enable looping
Output: one output port, table, one row per message
table columns:
RowId
Sender - string
Sent date - string
Subject - string
Content - string

Node dialog configuration:

IMAP Server

server - email server url
port - imap port of email server
use SSL/TLS - not implemented
delete email from server - delete email message after reading
strip HTML from email content - remove html tags from email message
check every ... in ms - frequency in milliseconds to check for unseen email messages

Credentials

user email - email box to monitor for new email
password - user password

Usage Examples

example goes here

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WISR Knime Node AWSSQSWriter

Description:

This node reads the input data table and writes it to an AWS SQS queue. Each row of the table is written as a separate message.

Node configuration:

SQS Settings tab:

Use configuration file - true/false, whether to read the node configuration from an external json file

File - configuration file name or URL. This could be a local path or file path on the server where KNIME will run in headless mode.

Access key ID - Amazon key

Secret access key - Amazon secret

Queue name - SQS queue to write to

License tab:

License Server - license server URL

Licensed Site - domain URL on which the node is licensed and is running on

License Code - license code

Node input:

table with two columns - Row ID, Message Body(String). Each row will be written as a separate message in the queue.

Node output:

none

 

-end-

 

WISR Knime Node AWSSQSReader

Description:

This node tries to read fifteen messages from Amazon SQS and writes them to a data table, one row per message.

Node configuration:

SQS Settings tab:

Use configuration file - true/false, whether to read the node configuration from an external json file

File - configuration file name or URL. This could be a local path or file path on the server where KNIME will run in headless mode.

Access key ID - Amazon key

Secret access key - Amazon secret

Queue name - Amazon SQS queue to read

License tab:

License Server - license server URL

Licensed Site - domain URL on which the node is licensed and is running on

License Code - license code

Node input:

none

Node output:

table with two columns - Row ID, Message Body(String), number of rows is equal to the number of messages read from the queue

 

-end-

 

WISR Knime Node AWSS3Writer

Description:

 

This node reads the input data table and writes it to a csv file on Amazon S3. Each row of the table is written as a line in the S3 file as defined in the configuration settings.

Node configuration:

S3 Writer tab:

Use configuration file - true/false, whether to read the node configuration from an external json file

File - configuration file name or URL. This could be a local path or file path on the server where KNIME will run in headless mode.

Bucket name - Amazon S3 bucket name

File name - Amazon S3 object/file name

Access key ID - Amazon key

Secret access key - Amazon secret

License tab:

License Server - license server URL

Licensed Site - domain URL on which the node is licensed and is running on

License Code - license code

 

Additional standard CSV Writer settings are found on:

Settings tab:

Write column header

Write row ID

Compress output file(gzip)

If file exists - Overwrite Append Abort

...

Advanced tab:

Quotes tab:

Comment Header tab:

Decimal Separator tab:

Node input:

table with one column - Row ID, and zero or more rows. Each row will be written as a line in the csv file and according to the configuration settings.

Node output:

none

-end-

 

WISR Knime Node AWSS3Reader

Version: 1.0.3 / 2016-10-24


Description:

This node reads a csv file from Amazon S3 and writes its content into a data table. The file is parsed using the information on the CSV Reader tab.

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