MetaPivot

MetaPivot 64x64

Short description

Ports

Metadata

MetaPivot attributes

Details

Examples

See also

Short description

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

Same input metadata Sorted inputs Inputs Outputs Java CTL Auto-propagated metadata

-

1

1

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.

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 current field number: 0…​n-1 where n is the number of fields in the input metadata.

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, see Details. 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.