MetaPivot

Short Description

MetaPivot converts every incoming record into several output records, each one representing a single field from the input.

COMPONENT	SAME INPUT METADATA	SORTED INPUTS	INPUTS	OUTPUTS	JAVA	CTL	AUTO-PROPAGATED METADATA
MetaPivot	-	x	1	1	x	x	✓

Ports

PORT TYPE	NUMBER	REQUIRED	DESCRIPTION	METADATA
Input	0	✓	For input data records	Any1
Output	0	✓	For transformed data records	Any2

Metadata

MetaPivot does not propagate metadata. MetaPivot has a metadata template on its output port.

Note: When working with MetaPivot, you have to use a fixed format of the output metadata. The metadata fields represent particular data types. Field names and data types have to be set exactly as follows (otherwise unexpected BadDataFormatException will occur):

FIELD NAME	TYPE	DESCRIPTION
recordNo	long	The serial number of a record (outputs can be later grouped by this) - fields of the same record share the same number.
fieldNo	integer	The serial number of a record (outputs can be later grouped by this) - fields of the same record share the same number.
fieldName	string	The name of the field as it appears on the input
fieldType	string	The field type, e.g. string, date, decimal
valueBoolean	boolean	The boolean value of the field.
valueByte	byte	The byte value of the field.
valueDate	date	The date value of the field.
valueDecimal	decimal	The decimal value of the field.
valueInteger	integer	The integer value of the field.
valueLong	long	The long value of the field.
valueNumber	number	The number value of the field.
valueString	string	The string value of the field.

MetaPivot Attributes

MetaPivot has no transformation-affecting attributes.

Details

On its single input port, MetaPivot receives data that does not have to be sorted. Each field of the input record is written as a new line on the output. The metadata represents data types and is restricted to a fixed format. All in all, MetaPivot can be used to effectively transform your records to a neat data-dependent structure.

Unlike Normalizer , which MetaPivot is derived from, no transformation is defined. MetaPivot always does the same transformation: it takes the input records and rotates them from input columns to output rows.

The total number of output records produced by MetaPivot equals to (number of input records) * (number of input fields).

Some of the fields only make the output look better arranged. These can be omitted if required. The fields that do not have to be included in the output metadata are: recordNo, fieldNo and fieldType.

Examples

Converting Line to List

Convert records with metadata fields username, surname and first name.

doejohn|Doe  |John
smithel|Smith|Elisabeth
...

into lines having each field value on a separate line:

username |doejohn
surname  |John
firstname|Doe
username |smithel
surname  |Elisabeth
firstname|Smith
...

Solution Place the component into a graph and connect edges. The component does not need to be set up. Note: You need Map to exclude unnecessary output fields.

See also

Pivot Common Properties of Components Specific attribute types Common Properties of Transformers