Provides efficient data processing and access to the
ListView component. A ListViewDataSource is created with functions for
extracting data from the input blob, and comparing elements (with default
implementations for convenience). The input blob can be as simple as an
array of strings, or an object with rows nested inside section objects.
To update the data in the datasource, use cloneWithRows (or
cloneWithRowsAndSections if you care about sections). The data in the
data source is immutable, so you can't modify it directly. The clone methods
suck in the new data and compute a diff for each row so ListView knows
whether to re-render it or not.
In this example, a component receives data in chunks, handled by
_onDataArrived, which concats the new data onto the old data and updates the
data source. We use concat to create a new array - mutating this._data,
e.g. with this._data.push(newRowData), would be an error. _rowHasChanged
understands the shape of the row data and knows how to efficiently compare
it.
You can provide custom extraction and hasChanged functions for section
headers and rows. If absent, data will be extracted with the
defaultGetRowData and defaultGetSectionHeaderData functions.
The default extractor expects data of one of the following forms:
or
or
The constructor takes in a params argument that can contain any of the following:
Clones this ListViewDataSource with the specified dataBlob and
rowIdentities. The dataBlob is just an arbitrary blob of data. At
construction an extractor to get the interesting information was defined
(or the default was used).
The rowIdentities is a 2D array of identifiers for rows.
ie. [['a1', 'a2'], ['b1', 'b2', 'b3'], ...]. If not provided, it's
assumed that the keys of the section data are the row identities.
Note: This function does NOT clone the data in this data source. It simply
passes the functions defined at construction to a new data source with
the data specified. If you wish to maintain the existing data you must
handle merging of old and new data separately and then pass that into
this function as the dataBlob.
This performs the same function as the cloneWithRows function but here
you also specify what your sectionIdentities are. If you don't care
about sections you should safely be able to use cloneWithRows.
sectionIdentities is an array of identifiers for sections.
ie. ['s1', 's2', ...]. If not provided, it's assumed that the
keys of dataBlob are the section identities.
Note: this returns a new object!
Returns if the row is dirtied and needs to be rerendered
Gets the data required to render the row.
Gets the rowID at index provided if the dataSource arrays were flattened, or null of out of range indexes.
Gets the sectionID at index provided if the dataSource arrays were flattened, or null for out of range indexes.
Returns an array containing the number of rows in each section
Returns if the section header is dirtied and needs to be rerendered
Gets the data required to render the section header
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