labels.crawling_info_DataCrawlExecTime=Crawl Execution Time (Data Store)
labels.crawling_info_DataCrawlStartTime=Crawl Start Time (Data Store)
labels.crawling_info_DataCrawlEndTime=Crawl End Time (Data Store)
labels.crawling_info_DataIndexExecTime=Indexing Execution Time (Data Store)
labels.crawling_info_DataIndexSize=Index Size (Data Store)
labels.webauth_configuration=Web Authentication
labels.webauth_list_hostname=Hostname

 */
public interface DataStore {

    /**
     * Store the data.
     * @param config The data configuration.
     * @param callback The callback.
     * @param initParamMap The initial parameters.
     */
    void store(DataConfig config, IndexUpdateCallback callback, DataStoreParams initParamMap);

    /**
     * Stop the data store.
     */
    void stop();

 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,

   * specified function to each item in an {@code Iterable} of values. Each value will be stored as
   * a value in the resulting multimap, yielding a multimap with the same size as the input
   * iterable. The key used to store that value in the multimap will be the result of calling the
   * function on that value. The resulting multimap is created as an immutable snapshot. In the

   * specified function to each item in an {@code Iterable} of values. Each value will be stored as
   * a value in the resulting multimap, yielding a multimap with the same size as the input
   * iterable. The key used to store that value in the multimap will be the result of calling the
   * function on that value. The resulting multimap is created as an immutable snapshot. In the

   * specified function to each item in this {@code FluentIterable} of values. Each element of this
   * iterable will be stored as a value in the resulting multimap, yielding a multimap with the same
   * size as this iterable. The key used to store that value in the multimap will be the result of
   * calling the function on that value. The resulting multimap is created as an immutable snapshot.

   * specified function to each item in this {@code FluentIterable} of values. Each element of this
   * iterable will be stored as a value in the resulting multimap, yielding a multimap with the same
   * size as this iterable. The key used to store that value in the multimap will be the result of
   * calling the function on that value. The resulting multimap is created as an immutable snapshot.

     * Gets the relative path for a locally installed artifact.
     * Note that the artifact need not actually exist yet at
     * the returned location, the path merely indicates where
     * the artifact would eventually be stored.
     *
     * @param session The session to use, must not be {@code null}.
     * @param artifact The artifact for which to determine the path, must not be {@code null}.

Using `UploadFile` has several advantages over `bytes`:

* You don't have to use `File()` in the default value of the parameter.
* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.

    /**
     * The flag to check if the data store is alive.
     */
    protected boolean alive = true;

    /**
     * Register this data store.
     */
    public void register() {
        ComponentUtil.getDataStoreFactory().add(getName(), this);
    }

    /**
     * Get the name of this data store.
     * @return The name of this data store.
     */
    protected abstract String getName();