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Class pvc.options.DimensionsReader

Class Summary
Constructor Attributes Constructor Name and Description
 
The options documentation class of a data dimensions reader.
Field Summary
Field Attributes Field Name and Description
General
 
The index or indexes of the columns that the reader reads from each logical row.
 
The name or names of the dimensions that the reader reads from each logical row.
Method Summary
Method Attributes Method Name and Description
General
 
reader(logicalRow, outAtoms)
A dimensions reader function, reads the values of dimensions, for each logical row.
Class Detail
pvc.options.DimensionsReader
The options documentation class of a data dimensions reader.

A dimensions reader is executed for each row of a data source to convert values of one or more columns into one or more atoms of certain dimensions.

Together, a set of dimensions readers, are executed to fully convert each data source row into atoms of the defined dimension types. The atoms of each row are used to construct a datum.

The mentioned data source row is called the logical row. Depending on the data source format (crosstab or relational), the actual rows carry different informaton. The logical row is a normalized view of each row of the data source, independent of its format.

A dimensions reader can be configured in the following ways:

specify names but not reader
names are paired with any specified indexes, from left to right; excess indexes feed dimensions whose name starts with the last specified name (a dimension group); excess names are fed with the non reservedindexes that follow the last specified index (or 0, if none); indexes explicitly specified in dimensions readers are all reserved beforehand
specify indexes but not names and reader
the specified indexes become reserved but are not read, and so are effectively ignored
specify both reader and names
any specified indexes are reserved, and no pairing is performed between these and the specified names; the reader function may read any column from the logical row and return atoms from any of the dimensions specified in names; atoms of stated dimensions, that are not returned, result in a null value; this form allows, for example, splitting a value in the logical row into two dimensions.
Field Detail
{number|string|list(number|string)} indexes
The index or indexes of the columns that the reader reads from each logical row.

Only one dimensions reader can state that it reads a given index (although a dimensions reader function may sneek into any columns it likes).


{string|list(string)} names
The name or names of the dimensions that the reader reads from each logical row.

When the argument is a string, it can be a list of names, separated by the character ",".

Only one dimensions reader or dimensions calculation can read or calculate a given dimension.

Method Detail
{undefined} reader(logicalRow, outAtoms)
A dimensions reader function, reads the values of dimensions, for each logical row.

When unspecified, one is created that performs a simple mapping between the specified names and indexes.

A dimensions reader function can be specified to perform non-simple operations over the read columns, like the following:

Dimensions reader functions need not be specifed to perform conversion or formatting operations of a single column. For those cases, the dimension type's DimensionType#converter and DimensionType#formatter are more appropriate.

Also, when the value of a dimension is calculated from the value of other dimensions, a dimensions calculation may be more appropriate: see DimensionsCalculation.

The function may read columns whose indexes were not "reserved" in indexes. Those columns might be read by other readers, possibly default ones created by the translator.

Context:
{pvc.data.Data}
Arguments:
{list(any)} logicalRow
The logical row array.
{object} outAtoms
An object that should be filled with read raw values, each placed in a property with the name of the corresponding dimension.

It is also possible that the values be the atoms themselves, a technique that can be used to achieve greater performance, when a dimension only has two or three possible values.

Returns:
{undefined}

Documentation generated by JsDoc Toolkit 2.4.0 on Thu Dec 20 2018 15:47:43 GMT-0000 (WET)