tMSSqlBulkExec Standard properties
These properties are used to configure tMSSqlBulkExec running in the Standard Job framework.
The Standard tMSSqlBulkExec component belongs to the Databases family.
The component in this framework is available in all Talend products.
Basic settings
Database |
Select the desired database type from the list and click Apply. |
Property type |
Either Built-in or
Repository
.
|
JDBC Provider |
Select the provider of the JDBC driver to be used, either Microsoft (the default, recommended) or Open source JTDS. When Microsoft is selected, you need to download the Microsoft JDBC Driver for SQL Server on Microsoft Download Center, unpack the downloaded zip file, choose a jar in the unzipped folder based on your JRE version, rename the jar to mssql-jdbc.jar and install it manually. For more information about choosing the jar, see the System Requirements information on Microsoft Download Center. Note that OSGi builds will not include any open source jTDS JDBC driver. If you need to build your Job containing this component as an OSGi bundle, use the official Microsoft JDBC driver; otherwise, this component will work only with Datasource with the jTDS JDBC driver properly installed in Talend Runtime. |
Use an existing connection |
Select this check box and in the Component List drop-down list, select the desired connection component to reuse the connection details you already defined. Information noteNote: When a Job contains the parent Job and the child Job, do the following if you
want to share an existing connection between the parent Job and the child Job (for example,
to share the connection created by the parent Job with the child Job).
For an example about how to share a database connection across Job levels, see Sharing a database connection. |
Host | Enter the IP address or the hostname of the database server or the Azure Synapse Analytics to be used. If the SQL Server Browser service is running on the machine where the server resides, you can connect to a named instance through a TCP dynamic port by providing the host name and the instance name in this field in the format of {host_name}\{instance_name}. In this case, you can leave the Port field empty. See SQL Server Browser service for related information. |
Port | Enter the listening port number of the database server or the Azure Synapse Analytics to be used. If the SQL Server Browser service is running on the machine where the server resides, you can connect to a named instance through a TCP dynamic port by providing the host name and the instance name in the Host field and leave this field empty. See SQL Server Browser service for related information. |
Schema | Enter the name of the database schema. |
Database | Enter the name of the database. |
Username and Password | Enter the authentication data. To enter the password, click the [...] button next to the Password field, enter the password in double quotes in the pop-up dialog box, and then click OK. You can use Type 2 integrated authentication on Windows by adding integratedSecurity=true in the Additional JDBC Parameters field and leave these two fields empty. See section Connecting with integrated authentication On Windows at Building the connection URL for related information. |
Table | Enter the name of the table to be written. Note that only one table can be written at a time and that the table must exist for the insert operation to succeed. |
Action on table | On the table defined, you can perform one of the following operations: None: No operation is carried out. Drop and create table: The table is removed and created again. Create table: The table does not exist and gets created. Create table if not exists: The table is created if it does not exist. Drop table if exists and create: The table is removed if it already exists and created again. Clear table: The table content is deleted. Truncate table: The table content is deleted. You do not have the possibility to rollback the operation. |
Use existing dynamic schema |
Select this option to use a dynamic schema generated by a tSetDynamicSchema component. This option requires at least one tSetDynamicSchema component. From the Dynamic schema drop-down list, select the component that generates the desired dynamic schema. |
Schema and Edit Schema |
A schema is a row description. It defines the number of fields (columns) to be processed and passed on to the next component. When you create a Spark Job, avoid the reserved word line when naming the fields. Built-In: You create and store the schema locally for this component only. Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. When the schema to be reused has default values that are integers or functions, ensure that these default values are not enclosed within quotation marks. If they are, you must remove the quotation marks manually. For more information, see Retrieving table schemas. Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
|
Remote File Name | Enter the name of the file to be loaded. Information noteNote: This file can be
on the same machine as the database server resides or on another machine. If
the file is on the same machine as the database server resides, fill the path
to the file in the form prompted in the field; if the file is on another
machine, fill the universal naming convention (UNC) name (that is,
\\{Servername}\{Sharename}\{Path}\{Filename}) of the
file in this field. In the second case, you need to have the permission to read
the file. See Bulk importing to SQL Server from a remote
data file for related information.
|
Advanced settings
Action | Select the action to be carried out. Bulk insert, Bulk update and Bcp query out, depending on the action selected, the required information varies. |
Additional JDBC parameters |
Specify additional JDBC parameters for the database connection created. This property is not available when the Use an existing connection check box in the Basic settings view is selected. |
Authenticate using Azure Active Directory |
Select this option to use Azure Active Directory authentication when establishing the connection. See Azure AD Authentication for related information. This option is only available when Microsoft is selected from the JDBC Provider drop-down list in the Basic settings view. |
Enable always encrypted (Column encryption) | Select this option to use the Microsoft Always encrypted feature to encrypt and protect your
data. To use this option, you need to have previously stored your secrets with
Azure Key Vault:
Some limitations regarding query operations and statements apply to this feature. For the exhaustive list of limitations, see the Microsoft SQL Server documentation. |
Fields terminated by | Character, string, or regular expression to separate fields. |
Rows terminated | String (ex: "\n"on Unix) to distinguish rows. |
First row | Type in the number of the row where the action should start. |
Code page | OEM code pages used to map a specific set of characters to numerical code point values. |
Data file type | Select the type of data being handled. |
Output | Select the type for the standard output of the Microsoft SQL Server database:
This property is available when BCP query out is selected from the Action drop-down list. |
Fire Triggers | Select this check box to execute any insert trigger defined on the table
into which data will be loaded during the bulk insert operation. This property is available when Bulk insert is selected from the Action drop-down list. |
tStatCatcher Statistics | Select this check box to collect log data at the component level. |
Enable parallel execution |
Select this check box to perform high-speed data processing, by treating
multiple data flows simultaneously. Note that this feature depends on the database or
the application ability to handle multiple inserts in parallel as well as the number of
CPU affected. In the Number of parallel executions
field, either:
Note that when parallel execution is enabled, it is not possible to use global variables to retrieve return values in a subJob.
|
Usage
Usage rule | This component is to be used along with tMSSqlOutputBulk component. Used together, they can offer gains in performance while feeding a MSSql database. |
Dynamic settings |
Click the [+] button to add a row in the table and fill the Code field with a context variable to choose your database connection dynamically from multiple connections planned in your Job. This feature is useful when you need to access database tables having the same data structure but in different databases, especially when you are working in an environment where you cannot change your Job settings, for example, when your Job has to be deployed and executed independent of Talend Studio. The Dynamic settings table is available only when the Use an existing connection check box is selected in the Basic settings view. Once a dynamic parameter is defined, the Component List box in the Basic settings view becomes unusable. For examples on using dynamic parameters, see Reading data from databases through context-based dynamic connections and Reading data from different MySQL databases using dynamically loaded connection parameters. For more information on Dynamic settings and context variables, see Dynamic schema and Creating a context group and define context variables in it. |
Limitation |
Due to license incompatibility, one or more JARs required to use this component are not provided. You can install the missing JARs for this particular component by clicking the Install button on the Component tab view. You can also find out and add all missing JARs easily on the Modules tab in the Integration perspective of Talend Studio. For details, see Installing external modules. |