org.hibernate.id.enhanced.HiLoOptimizer Maven / Gradle / Ivy
/*
* Hibernate, Relational Persistence for Idiomatic Java
*
* License: GNU Lesser General Public License (LGPL), version 2.1 or later.
* See the lgpl.txt file in the root directory or .
*/
package org.hibernate.id.enhanced;
import java.io.Serializable;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import org.hibernate.HibernateException;
import org.hibernate.id.IntegralDataTypeHolder;
import org.jboss.logging.Logger;
/**
* Optimizer which applies a 'hilo' algorithm in memory to achieve
* optimization.
*
* A 'hilo' algorithm is simply a means for a single value stored in the
* database to represent a "bucket" of possible, contiguous values. The
* database value identifies which particular bucket we are on.
*
* This database value must be paired with another value that defines the
* size of the bucket; the number of possible values available.
* The {@link #getIncrementSize() incrementSize} serves this purpose. The
* naming here is meant more for consistency in that this value serves the
* same purpose as the increment supplied to the {@link PooledOptimizer}.
*
* The general algorithms used to determine the bucket are:
* - {@code upperLimit = (databaseValue * incrementSize) + 1}
* - {@code lowerLimit = upperLimit - incrementSize}
*
* As an example, consider a case with incrementSize of 20. Initially the
* database holds 1:
* - {@code upperLimit = (1 * 20) + 1 = 21}
* - {@code lowerLimit = 21 - 20 = 1}
*
* From there we increment the value from lowerLimit until we reach the
* upperLimit, at which point we would define a new bucket. The database
* now contains 2, though incrementSize remains unchanged:
* - {@code upperLimit = (2 * 20) + 1 = 41}
* - {@code lowerLimit = 41 - 20 = 21}
*
* And so on...
*
* Note, 'value' always (after init) holds the next value to return
*
* @author Steve Ebersole
*/
public class HiLoOptimizer extends AbstractOptimizer {
private static final Logger log = Logger.getLogger( HiLoOptimizer.class );
private static class GenerationState {
private IntegralDataTypeHolder lastSourceValue;
private IntegralDataTypeHolder upperLimit;
private IntegralDataTypeHolder value;
}
/**
* Constructs a HiLoOptimizer
*
* @param returnClass The Java type of the values to be generated
* @param incrementSize The increment size.
*/
public HiLoOptimizer(Class returnClass, int incrementSize) {
super( returnClass, incrementSize );
if ( incrementSize < 1 ) {
throw new HibernateException( "increment size cannot be less than 1" );
}
if ( log.isTraceEnabled() ) {
log.tracev( "Creating hilo optimizer with [incrementSize={0}; returnClass={1}]", incrementSize, returnClass.getName() );
}
}
@Override
public synchronized Serializable generate(AccessCallback callback) {
final GenerationState generationState = locateGenerationState( callback.getTenantIdentifier() );
if ( generationState.lastSourceValue == null ) {
// first call, so initialize ourselves. we need to read the database
// value and set up the 'bucket' boundaries
generationState.lastSourceValue = callback.getNextValue();
while ( generationState.lastSourceValue.lt( 1 ) ) {
generationState.lastSourceValue = callback.getNextValue();
}
// upperLimit defines the upper end of the bucket values
generationState.upperLimit = generationState.lastSourceValue.copy().multiplyBy( incrementSize ).increment();
// initialize value to the lower end of the bucket
generationState.value = generationState.upperLimit.copy().subtract( incrementSize );
}
else if ( ! generationState.upperLimit.gt( generationState.value ) ) {
generationState.lastSourceValue = callback.getNextValue();
generationState.upperLimit = generationState.lastSourceValue.copy().multiplyBy( incrementSize ).increment();
generationState.value = generationState.upperLimit.copy().subtract( incrementSize );
}
return generationState.value.makeValueThenIncrement();
}
private GenerationState noTenantState;
private Map tenantSpecificState;
private GenerationState locateGenerationState(String tenantIdentifier) {
if ( tenantIdentifier == null ) {
if ( noTenantState == null ) {
noTenantState = new GenerationState();
}
return noTenantState;
}
else {
GenerationState state;
if ( tenantSpecificState == null ) {
tenantSpecificState = new ConcurrentHashMap();
state = new GenerationState();
tenantSpecificState.put( tenantIdentifier, state );
}
else {
state = tenantSpecificState.get( tenantIdentifier );
if ( state == null ) {
state = new GenerationState();
tenantSpecificState.put( tenantIdentifier, state );
}
}
return state;
}
}
private GenerationState noTenantGenerationState() {
if ( noTenantState == null ) {
throw new IllegalStateException( "Could not locate previous generation state for no-tenant" );
}
return noTenantState;
}
@Override
public synchronized IntegralDataTypeHolder getLastSourceValue() {
return noTenantGenerationState().lastSourceValue;
}
@Override
public boolean applyIncrementSizeToSourceValues() {
return false;
}
/**
* Getter for property 'lastValue'.
*
* Exposure intended for testing purposes.
*
* @return Value for property 'lastValue'.
*/
public synchronized IntegralDataTypeHolder getLastValue() {
return noTenantGenerationState().value.copy().decrement();
}
/**
* Getter for property 'upperLimit'.
*
* Exposure intended for testing purposes.
*
* @return Value for property 'upperLimit'.
*/
public synchronized IntegralDataTypeHolder getHiValue() {
return noTenantGenerationState().upperLimit;
}
}
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