tPigJoin Standard properties
These properties are used to configure tPigJoin running in the Standard Job framework.
The Standard tPigJoin component belongs to the Big Data and the Processing families.
The component in this framework is available in all Talend products with Big Data and in Talend Data Fabric.
Basic settings
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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. Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
Information noteNote:
To make this component work, two schemas must be set: the schema of the main flow and the schema of the lookup flow. In the output part of the main schema, the columns of the main input file must be manually concatenated with those of the lookup file. |
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Built-in: The schema will be created and stored locally for this component only. Related topic: see Talend Studio User Guide. |
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Repository: The schema already exists and is stored in the Repository, hence can be reused in various projects and Job designs. Related topic: see Talend Studio User Guide. |
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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. Click Edit schema to make changes to the schema. If the current schema is of the Repository type, three options are available:
Information noteNote:
To make this component work, two schemas must be set: the schema of the main flow and the schema of the lookup flow. In the output part of the main schema, the columns of the main input file must be manually concatenated with those of the lookup file. |
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Built-in: The schema will be created and stored locally for this component only. Related topic: see Talend Studio User Guide. |
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Repository: The schema already exists and is stored in the Repository, hence can be reused in various projects and Job designs. Related topic: see Talend Studio User Guide. |
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Filename |
Fill in the path of the Lookup file. |
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Field Separator |
Enter character, string or regular expression to separate fields for the transferred data. |
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Join key |
Click the plus button to add lines to set the Join key for Input file and Lookup file. |
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Join mode |
Select a join mode from the list: inner-join: Select this mode to perform an inner join of two or more relations based on Join keys. left-outer-join: Select this mode to performs a left outer join of two or more relations based on Join keys. right-outer-join: Select this mode to performs a right outer join of two or more relations based on Join keys. full-outer-join: Select this mode to combine the effect of applying both left and right outer joins. For further information about inner join and outer join, see: |
Advanced settings
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Optimize the join |
Select this check box to optimize the performance of joins using REPLICATED, SKEWED, or MERGE joins. For further information about optimized joins, see: |
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Use partitioner |
Select this check box to specify the Hadoop Partitioner that controls the partitioning of the keys of the intermediate map-outputs. For further information about the usage of Hadoop Partitioner, see: http://hadoop.apache.org/docs/current/api/org/apache/hadoop/mapred/Partitioner.html |
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Increase parallelism |
Select this check box to set the number of reduce tasks for the MapReduce Jobs |
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tStatCatcher Statistics |
Select this check box to gather the Job processing metadata at the Job level as well as at each component level. |
Global Variables
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Global Variables |
ERROR_MESSAGE: the error message generated by the component when an error occurs. This is an After variable and it returns a string. This variable functions only if the Die on error check box is cleared, if the component has this check box. A Flow variable functions during the execution of a component while an After variable functions after the execution of the component. To fill up a field or expression with a variable, press Ctrl + Space to access the variable list and choose the variable to use from it. For further information about variables, see Talend Studio User Guide. |
Usage
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Usage rule |
This component is commonly used as intermediate step together with input component and output component. |
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Prerequisites |
The Hadoop distribution must be properly installed, so as to guarantee the interaction with Talend Studio . The following list presents MapR related information for example.
For further information about how to install a Hadoop distribution, see the manuals corresponding to the Hadoop distribution you are using. |
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Limitation |
Knowledge of Pig scripts is required. |