tLogRow
to monitor data processed.
Depending on the Talend solution you
are using, this component can be used in one, some or all of the following Job
frameworks:
-
Standard: see tLogRow Standard properties.
The component in this framework is generally available.
-
MapReduce: see tLogRow MapReduce properties.
The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data. -
Spark Batch: see tLogRow properties for Apache Spark Batch.
The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data. -
Spark Streaming: see tLogRow properties for Apache Spark Streaming.
The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric. -
Storm: see tLogRow Storm properties
The component in this framework is available only if you have subscribed to Talend Real-time Big Data Platform or Talend Data
Fabric.
tLogRow Standard properties
These properties are used to configure tLogRow running in the Standard Job framework.
The Standard
tLogRow component belongs to the Logs & Errors family.
The component in this framework is generally available.
Basic settings
Schema and Edit schema |
A schema is a row description. It defines the number of fields (columns) to Click Edit schema to make changes to the schema.
This component offers the This dynamic schema |
Built-In: You create and store the |
|
Repository: You have already created |
|
Sync columns | Click to synchronize the output file schema with the input file schema. The Sync function is available only when the component is linked with the preceding component using a Row connection. |
Basic | Displays the output flow in basic mode. |
Table | Displays the output flow in table cells. |
Vertical |
Displays each row of the output flow as a key-value list. With this mode selected, you can choose to show either the unique name |
Separator (For Basic mode only) |
Enter the separator which will delimit data on the Log display. |
Print header (For Basic mode only) |
Select this check box to include the header of the input flow in the output display. |
Print component unique name in front of each (For Basic mode only) |
Select this check box to show the unique name the component in front |
Print schema column name in front of each (For Basic mode only) |
Select this check box to retrieve column labels from output |
Use fixed length for values (For Basic mode only) |
Select this check box to set a fixed width for the value |
Print content with log4j |
Select this check box to output the data flow content if the log4j |
Global Variables
Global Variables |
NB_LINE: the number of rows processed. This is an After
ERROR_MESSAGE: the error message generated by the A Flow variable functions during the execution of a component while an After variable To fill up a field or expression with a variable, press Ctrl + For further information about variables, see |
Usage
Usage rule |
This component can be used as intermediate step in a data flow or as a |
Related scenarios
tLogRow MapReduce properties
These properties are used to configure tLogRow running in the MapReduce Job framework.
The MapReduce
tLogRow component belongs to the Logs & Errors family.
The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.
Basic settings
Schema and Edit schema |
A schema is a row description. It defines the number of fields (columns) to Click Edit schema to make changes to the schema.
This component offers the This dynamic schema |
Built-In: You create and store the |
|
Repository: You have already created |
|
Sync columns | Click to synchronize the output file schema with the input file schema. The Sync function is available only when the component is linked with the preceding component using a Row connection. |
Basic | Displays the output flow in basic mode. |
Table | Displays the output flow in table cells. |
Vertical |
Displays each row of the output flow as a key-value list. With this mode selected, you can choose to show either the unique |
Separator (For Basic mode only) |
Enter the separator which will delimit data on the Log |
Print header (For Basic mode only) |
Select this check box to include the header of the input flow in the output display. |
Print component unique name in front of each (For Basic mode only) |
Select this check box to show the unique name the component in |
Print schema column name in front of each (For Basic mode only) |
Select this check box to retrieve column labels from output |
Use fixed length for values (For Basic mode only) |
Select this check box to set a fixed width for the value |
Global Variables
Global Variables |
ERROR_MESSAGE: the error message generated by the A Flow variable functions during the execution of a component while an After variable To fill up a field or expression with a variable, press Ctrl + For further information about variables, see |
Usage
Usage rule |
This component can be used as intermediate step in a data flow or In a You need to use the Hadoop Configuration tab in the This connection is effective on a per-Job basis. For further information about a Note that in this documentation, unless otherwise |
Related scenarios
No scenario is available for the Map/Reduce version of this component yet.
tLogRow properties for Apache Spark Batch
These properties are used to configure tLogRow running in the Spark Batch Job framework.
The Spark Batch
tLogRow component belongs to the Misc family.
The component in this framework is available only if you have subscribed to one
of the
Talend
solutions with Big Data.
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 |
Schema and Edit schema |
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 |
|
Sync columns | Click to synchronize the output file schema with the input file schema. The Sync function is available only when the component is linked with the preceding component using a Row connection. |
Basic | Displays the output flow in basic mode. |
Table | Displays the output flow in table cells. |
Vertical |
Displays each row of the output flow as a key-value list. With this mode selected, you can choose to show either the unique name |
Separator (For Basic mode only) |
Enter the separator which will delimit data on the Log display. |
Print header (For Basic mode only) |
Select this check box to include the header of the input flow in the output display. |
Print component unique name in front of each (For Basic mode only) |
Select this check box to show the unique name the component in front |
Print schema column name in front of each (For Basic mode only) |
Select this check box to retrieve column labels from output |
Use fixed length for values (For Basic mode only) |
Select this check box to set a fixed width for the value |
Usage
Usage rule |
This component is used as an intermediate or an end step. This component, along with the Spark Batch component Palette it belongs to, appears only Note that in this documentation, unless otherwise |
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 related scenario, see Performing download analysis using a Spark Batch Job.
tLogRow properties for Apache Spark Streaming
These properties are used to configure tLogRow running in the Spark Streaming Job framework.
The Spark Streaming
tLogRow component belongs to the Misc 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
Schema and Edit schema |
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 |
|
Sync columns | Click to synchronize the output file schema with the input file schema. The Sync function is available only when the component is linked with the preceding component using a Row connection. |
Basic | Displays the output flow in basic mode. |
Table | Displays the output flow in table cells. |
Vertical |
Displays each row of the output flow as a key-value list. With this mode selected, you can choose to show either the unique |
Separator (For Basic mode only) |
Enter the separator which will delimit data on the Log |
Print header (For Basic mode only) |
Select this check box to include the header of the input flow in the output display. |
Print component unique name in front of each (For Basic mode only) |
Select this check box to show the unique name the component in |
Print schema column name in front of each (For Basic mode only) |
Select this check box to retrieve column labels from output |
Use fixed length for values (For Basic mode only) |
Select this check box to set a fixed width for the value |
Usage
Usage rule |
This component is used as an intermediate or an end step. 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 related scenario, see Analyzing a Twitter flow in near real-time.
tLogRow Storm properties
These properties are used to configure tLogRow running in the Storm Job framework.
The Storm
tLogRow component belongs to the Logs & Errors 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
Schema and Edit schema |
A schema is a row description. It defines the number of fields (columns) to Click Edit schema to make changes to the schema.
This component offers the This dynamic schema |
Built-In: You create and store the |
|
Repository: You have already created |
|
Sync columns | Click to synchronize the output file schema with the input file schema. The Sync function is available only when the component is linked with the preceding component using a Row connection. |
Basic | Displays the output flow in basic mode. |
Table | Displays the output flow in table cells. |
Vertical |
Displays each row of the output flow as a key-value list. With this mode selected, you can choose to show either the unique |
Separator (For Basic mode only) |
Enter the separator which will delimit data on the Log |
Print header (For Basic mode only) |
Select this check box to include the header of the input flow in the output display. |
Print component unique name in front of each (For Basic mode only) |
Select this check box to show the unique name the component in |
Print schema column name in front of each (For Basic mode only) |
Select this check box to retrieve column labels from output |
Use fixed length for values (For Basic mode only) |
Select this check box to set a fixed width for the value |
Usage
Usage rule |
This component can be used as intermediate step in a data flow or If you have subscribed to one of the The Storm version does not support the use of the global variables. You need to use the Storm Configuration tab in the This connection is effective on a per-Job basis. For further information about a Note that in this documentation, unless otherwise explicitly stated, a scenario presents |
Related scenarios
No scenario is available for the Storm version of this component
yet.