tMysqlLookupInput
Reads a MySQL database and extracts fields based on a query.
tMysqlLookupInput executes a database
query with a strictly defined order which must correspond to the schema definition.
This component also allows you to connect and read data from a RDS Aurora or a RDS MySQL
database.
tMysqlLookupInput properties for Apache Spark Streaming
These properties are used to configure tMysqlLookupInput running in the Spark Streaming Job framework.
The Spark Streaming
tMysqlLookupInput component belongs to the Databases family.
The streaming version of this component is available in the Palette of the Studio only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.
Basic settings
|
Property type |
Either Built-In or Repository. Built-In: No property data stored centrally.
Repository: Select the repository file where the |
||
|
|
Click this icon to open a database connection wizard and store the For more information about setting up and storing database |
||
|
Use an existing connection |
Select this check box and in the Component |
||
|
DB version |
Select the version of the database to be used. When the database to be used is RDS Aurora, you need to select Mysql 5. |
||
|
Host |
Database server IP address. |
||
|
Port |
Listening port number of DB server. |
||
|
Database |
Name of the database. |
||
|
Username and |
DB user authentication data. To enter the password, click the […] button next to the |
||
|
Schema and Edit |
A schema is a row description. It defines the number of fields (columns) to |
||
|
|
Built-In: You create and store the |
||
|
|
Repository: You have already created |
||
|
Click Edit schema to make changes to the schema.
|
|||
|
Table |
Name of the table to be read. |
||
|
Query type and |
Enter your DB query paying particularly attention to properly The result of the query must contain only records that match join key you need to use in For
example
In this code, row1 is not connected to tMysqlLookupInput, but is the main row entering into tMap. This approach ensures that no redundant records are loaded into memory and outputted to |
Advanced settings
|
Additional JDBC parameters |
Specify additional connection properties for the database connection you are |
|
Trim all the String/Char columns |
Select this check box to remove leading and trailing whitespace |
|
Trim column |
Remove leading and trailing whitespace from defined Note:
Clear Trim all the String/Char |
|
Connection pool |
In this area, you configure, for each Spark executor, the connection pool used to control
|
|
Evict connections |
Select this check box to define criteria to destroy connections in the connection pool. The
|
Usage
|
Usage rule |
This component is used as a start component and requires an output link. This component should use a tMysqlConfiguration component 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. |
Related scenarios
For a scenario about how to use the same type of component in a Spark Streaming Job, see
Reading and writing data in MongoDB using a Spark Streaming Job.