com.avaje.ebeanservice.docstore.none

Class NoneDocStoreUpdateProcessor

java.lang.Object

com.avaje.ebeanservice.docstore.none.NoneDocStoreUpdateProcessor

All Implemented Interfaces:

DocStoreUpdateProcessor

public class NoneDocStoreUpdateProcessor
extends Object
implements DocStoreUpdateProcessor

DocStoreUpdateProcessor that barfs if it is used.

Constructor Summary

Constructors

Constructor and Description
NoneDocStoreUpdateProcessor()

Method Summary

Modifier and Type	Method and Description
<T> DocStoreQueryUpdate<T>	createQueryUpdate(BeanType<T> beanType, int bulkBatchSize) Create a processor to handle updates per bean via a findEach query.
void	process(DocStoreUpdates docStoreUpdates, int bulkBatchSize) Process all the updates for a transaction.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NoneDocStoreUpdateProcessor

public NoneDocStoreUpdateProcessor()

Method Detail

createQueryUpdate

public <T> DocStoreQueryUpdate<T> createQueryUpdate(BeanType<T> beanType,
                                                    int bulkBatchSize)
                                             throws IOException

Description copied from interface: DocStoreUpdateProcessor

Create a processor to handle updates per bean via a findEach query.

Specified by:

createQueryUpdate in interface DocStoreUpdateProcessor

Throws:

IOException

process

public void process(DocStoreUpdates docStoreUpdates,
                    int bulkBatchSize)

Description copied from interface: DocStoreUpdateProcessor

Process all the updates for a transaction.

Typically this makes calls to the Bulk API of the document store or simply adds entries to a queue for future processing.

Specified by:

process in interface DocStoreUpdateProcessor

Parameters:

docStoreUpdates - The 'Bulk' and 'Queue' updates to the indexes for the transaction.

bulkBatchSize - The batch size to use for Bulk API calls specified on the transaction. If this is 0 then the default batch size is used.