Version

    RelationalJoin

    Short Description
    Ports
    Metadata
    RelationalJoin Attributes
    Details
    Best Practices
    See also

    Short Description

    Joiner that merges sorted data from two or more data sources on a common key whose values must differ in these data sources.

    ComponentSame input metadataSorted inputsSlave inputsOutputsOutput for drivers without slaveOutput for slaves without driverJoining based on equalityAuto-propagated metadata
    RelationalJoin
    no
    yes
    		11
    no
    no
    no
    no

    Metadata

    RelationalJoin does not propagate metadata.

    RelationalJoin has no metadata template.

    Ports

    RelationalJoin receives data through two input ports, each of which may have a distinct metadata structure.

    The joined data is then sent to the single output port.

    Port typeNumberRequiredDescriptionMetadata
    Input0
    yes
    		Master input portAny
    1
    yes
    		Slave input portAny
    Output0
    yes
    		Output port for the joined dataAny

    RelationalJoin Attributes

    AttributeReqDescriptionPossible values
    Basic
    Join keyyes

    Key according to which the incoming data flows are joined. See Join key.

    		 
    Join relationyes

    Defines the way of joining driver (master) and slave records. See Join relation.

    master != slave | master(D) < slave(D) | master(D) <= slave(D) | master(A) > slave(A) | master(A) >= slave(A)

    Join type 

    The type of a join. See Join Types.

    		Inner (default) | Left outer | Full outer
    Transform[1]A transformation in CTL or Java defined in the graph. 
    Transform URL[1]An external file defining the transformation in CTL or Java. 
    Transform class[1]External transformation class. 
    Transform source charset 

    Encoding of the external file defining the transformation.

    The default encoding depends on DEFAULT_SOURCE_CODE_CHARSET in defaultProperties.

    		E.g. UTF-8

    [1]  One of these must be set. These transformation attributes must be specified. Any of these transformation attributes must use a common CTL template for Joiners or implement a RecordTransform interface.

    For more information, see CTL Scripting Specifics or Java Interfaces.

    For detailed information about transformations, see also Defining Transformations.

    Details

    This is a joiner usable in situations when data records with different field values should be joined. It requires the input to be sorted and is very fast as it is processed in memory.

    The data attached to the first input port is called the master as it is also in the other Joiners. The other connected input port is called slave. Each master record is matched to all slave records on one or more fields known as a join key. The slave records whose values of this join key do not equal to their slave counterparts are joined together with such slaves. The output is produced by applying a transformation that maps joined inputs to the output.

    All slave input data is stored in memory; however, the master data is not. Therefore you only need to consider the size of your slave data for memory requirements.

    Join key

    You must define the key that should be used to join the records (Join key). The records on the input ports must be sorted according to the corresponding parts of the Join key attribute. You can define the Join key in the Join key wizard.

    The Join key attribute is a sequence of individual key expressions for the master and all of the slaves separated from each other by a hash. Order of these expressions must correspond to the order of the input ports starting with a master and continuing with slaves. Driver (master) key is a sequence of driver (master) field names (each of them should be preceded by a dollar sign) separated by a colon, semicolon or pipe. Each slave key is a sequence of slave field names (each of them should be preceded by a dollar sign) separated by a colon, semicolon, or pipe.

    An Example of the Join Key Attribute in the RelationalJoin Component

    Figure 57.8. An Example of the Join Key Attribute in the RelationalJoin Component


    You can use this Join key wizard. When you click the Join key attribute row, a button appears there. By clicking this button you can open the mentioned wizard.

    In it, you can see the tab for the driver (Master key tab) and the tabs for all of the slave input ports (Slave key tabs).

    Join Key Wizard (Master Key Tab)

    Figure 57.9. Join Key Wizard (Master Key Tab)


    In the driver tab, there are two panes. The Fields pane on the left and the Master key pane on the right. You need to select the driver expression by selecting the fields in the Fields pane on the left and moving them to the Master key pane on the right with the help of the Right arrow button. To the selected Master key fields, the same number of fields should be mapped within each slave. Thus, the number of key fields is the same for all input ports (both the master and each slave). In addition, driver (Master) key must be common for all slaves.

    Join Key Wizard (Slave Key Tab)

    Figure 57.10. Join Key Wizard (Slave Key Tab)


    In each of the slave tab(s) there are two panes. The Fields pane on the left and the Key mapping pane on the right. In the left pane you can see the list of the slave field names. In the right pane you can see two columns: Master key field and Slave key field. The left column contains the selected field names of the driver input port. If you want to map a driver field to slave field, select the slave field in the left pane by clicking its item, push the left mouse button, drag to the Slave key field column in the right pane and release the button. The same must be done for each slave. Note that you can also use the Auto mapping button or other buttons in each tab.

    Example 57.6. Join Key for RelationalJoin

    $first_name;$last_name#$fname;$lname#$f_name;$l_name

    Following is a part of Join key for the master data source (input port 0):

    $first_name=$fname;$last_name=$lname.

    • Thus, these fields are joined with the two fields from the first slave data source (input port 1):

      $fname and $lname, respectively.

    • And these fields are also joined with the two fields from the second slave data source (input port 2):

      $f_name and $l_name, respectively.


    Join relation

    • If both input ports receive data records that are sorted in descending order, slave data records that are greater than or equal to the driver (master) data records are the only ones that are joined with driver data records and sent out through the output port. Corresponding Join relation is one of the following two: master(D) < slave (D) (slaves are greater than master) or master(D) <= slave(D) (slaves are greater than or equal to master).

    • If both input ports receive data records that are sorted in ascending order, slave data records that are less than or equal to the driver (master) data records are the only ones that are joined with driver data records and sent out through the output port. Corresponding Join relation is one of the following two: master(A) > slave (A) (slaves are less than driver) or master(A) >= slave(A) (slaves are less than or equal to driver).

    • If both input ports receive data records that are unsorted, slave data records that differ from the driver (master) data records are the only ones that are joined with driver data records and sent out through the output port. Corresponding Join relation is the following: master != slave (slaves are different from driver).

    • Any other combination of sorted order and Join relation causes the graph fail.

    CTL Scripting Specifics

    When you define your join attributes, you must specify a transformation that maps fields from input data sources to the output. This can be done using the Transformations tab of the Transform Editor. However, you may find that you are unable to specify more advanced transformations using this easiest approach. In such a case, you need to use CTL scripting.

    For detailed information about CloverDX Transformation Language, see Part X, CTL2 - CloverDX Transformation Language. (CTL is a full-fledged, yet simple language that allows you to perform almost any imaginable transformation.)

    CTL scripting allows you to specify a custom field mapping using the simple CTL scripting language.

    All Joiners share the same transformation template which can be found in CTL Templates for Joiners.

    Java Interfaces

    If you define your transformation in Java, it must implement the following interface that is common for all Joiners:

    Java Interfaces for Joiners

    See Public CloverDX API.

    Best Practices

    If the transformation is specified in an external file (with Transform URL), we recommend users to explicitly specify Transform source charset.