tFileOutputDelimited properties for Apache Spark Streaming
These properties are used to configure tFileOutputDelimited running in the Spark Streaming Job framework.
The Spark Streaming
tFileOutputDelimited component belongs to the File family.
The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.
Basic settings
Define a storage configuration |
Select the configuration component to be used to provide the configuration If you leave this check box clear, the target file system is the local The configuration component to be used must be present in the same Job. For |
Property type |
Either Built-In or Repository. |
|
Built-In: No property data stored centrally. |
|
Repository: Select the repository file where the The properties are stored centrally under the Hadoop The fields that come after are pre-filled in using the fetched For further information about the Hadoop |
|
Click this icon to open a database connection wizard and store the database connection For more information about setting up and storing database connection parameters, see |
Schema and Edit |
A schema is a row description. It defines the number of fields (columns) to Click Edit schema to make changes to the schema.
|
|
Built-In: You create and store the |
|
Repository: You have already created |
Folder |
Browse to, or enter the path pointing to the data to be used in the file system. Note that this path must point to a folder rather than a file. The button for browsing does not work with the Spark Local mode; if you are using the Spark Yarn or the Spark Standalone mode, |
Action |
Select an operation for writing data:
Create: Creates a file and write data
Overwrite: Overwrites the file |
Row separator |
The separator used to identify the end of a row. |
Field separator |
Enter character, string or regular expression to separate fields for the transferred |
Include Header |
Select this check box to include the column header to the file. |
Custom encoding |
You may encounter encoding issues when you process the stored data. In that Select the encoding from the list or select Custom and define it manually. This field is compulsory for database |
Compress the data |
Select the Compress the data check box to compress the Hadoop provides different compression formats that help reduce the space needed for |
Advanced settings
Advanced separator (for number) |
Select this check box to change the separator used for numbers. By default, the thousands separator is a comma (,) and the decimal separator is a period (.). This option is not available for a Sequence file. |
CSV options |
Select this check box to include CSV specific parameters such as Escape char and Text |
Usage
Usage rule |
This component is used as an end component and requires an input link. This component, along with the Spark Streaming component Palette it belongs to, appears Note that in this documentation, unless otherwise explicitly stated, a scenario presents |
Spark Connection |
You need to use the Spark Configuration tab in
the Run view to define the connection to a given Spark cluster for the whole Job. In addition, since the Job expects its dependent jar files for execution, you must specify the directory in the file system to which these jar files are transferred so that Spark can access these files:
This connection is effective on a per-Job basis. |