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paging.search.page.max.size=100

# searchlog
searchlog.agg.shard.size=-1
# Request headers to include in search log.
searchlog.request.headers=
# Batch size for search log processing.
searchlog.process.batch_size=100

# Minimum width for HTML images in thumbnails.
thumbnail.html.image.min.width=100
# Minimum height for HTML images in thumbnails.
thumbnail.html.image.min.height=100

     * Get the value for the key 'searchlog.process.batch_size'. <br>
     * The value is, e.g. 100 <br>
     * comment: Batch size for search log processing.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getSearchlogProcessBatchSize();

    /**
     * Get the value for the key 'searchlog.process.batch_size' as {@link Integer}. <br>

# Release 2.7.0

## Breaking Changes

*   `tf.keras`:

    *   The methods `Model.fit()`, `Model.predict()`, and `Model.evaluate()`
        will no longer uprank input data of shape `(batch_size,)` to become
        `(batch_size, 1)`. This enables `Model` subclasses to process scalar
        data in their `train_step()`/`test_step()`/`predict_step()` methods. \
        Note that this change may break certain subclassed models. You can