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/**
* Copyright (c) 2009-2014, Data Geekery GmbH (http://www.datageekery.com)
* All rights reserved.
*
* This work is dual-licensed
* - under the Apache Software License 2.0 (the "ASL")
* - under the jOOQ License and Maintenance Agreement (the "jOOQ License")
* =============================================================================
* You may choose which license applies to you:
*
* - If you're using this work with Open Source databases, you may choose
* either ASL or jOOQ License.
* - If you're using this work with at least one commercial database, you must
* choose jOOQ License
*
* For more information, please visit http://www.jooq.org/licenses
*
* Apache Software License 2.0:
* -----------------------------------------------------------------------------
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* jOOQ License and Maintenance Agreement:
* -----------------------------------------------------------------------------
* Data Geekery grants the Customer the non-exclusive, timely limited and
* non-transferable license to install and use the Software under the terms of
* the jOOQ License and Maintenance Agreement.
*
* This library is distributed with a LIMITED WARRANTY. See the jOOQ License
* and Maintenance Agreement for more details: http://www.jooq.org/licensing
*/
package org.jooq.impl;
import static org.jooq.impl.DSL.fieldByName;
import java.util.ArrayList;
import java.util.List;
// ...
import org.jooq.Configuration;
import org.jooq.Context;
import org.jooq.Field;
import org.jooq.Param;
import org.jooq.Record;
import org.jooq.Table;
import org.jooq.UDTRecord;
import org.jooq.exception.DataTypeException;
import org.jooq.exception.SQLDialectNotSupportedException;
import org.jooq.util.h2.H2DataType;
/**
* An unnested array
*
* @author Lukas Eder
*/
class ArrayTable extends AbstractTable {
/**
* Generated UID
*/
private static final long serialVersionUID = 2380426377794577041L;
private final Field> array;
private final Fields field;
private final String alias;
ArrayTable(Field> array) {
this(array, "array_table");
}
@SuppressWarnings({ "unchecked" })
ArrayTable(Field> array, String alias) {
super(alias);
Class> arrayType;
// TODO [#523] Solve this in a more object-oriented way...
if (array.getDataType().getType().isArray()) {
arrayType = array.getDataType().getType().getComponentType();
}
/* [pro] xx
xx xxxxxxx xxxx xxxxx xx xxxxxxx xxxx xxxxxxxxxxx xx xxxxxx xxxxxx x xxxxx xxxxx
xxxx xx xxxxxx xxxxxxxxxx xxxxxxxxxxxxxx x
xxxxxxxxx x xxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
x
xx xxxxxxx xxxx xxxxx xx xxxxxxx xxxx xxxxxxxxxxx xx xxxxxx
xx xxxxxx x xxxxx xxxxx xxxxxxxx xxxx xxxxxxxxx
xxxx xx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx x
xx xxxx xxxxxx xxxx xxxxxxxxxxx xxxxxx xx xxxxxxxxx xx xxxxx xxxxxxxxx
xxxxxxxxxxxxxx xxxxx x xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxx x xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
x
xx [/pro] */
// Is this case possible?
else {
arrayType = Object.class;
}
this.array = array;
this.alias = alias;
this.field = init(alias, arrayType);
init(alias, arrayType);
}
@SuppressWarnings("unused")
ArrayTable(Field> array, String alias, String[] fieldAliases) {
super(alias);
throw new UnsupportedOperationException("This constructor is not yet implemented");
}
private static final Fields init(String alias, Class> arrayType) {
List> result = new ArrayList>();
// [#1114] VARRAY/TABLE of OBJECT have more than one field
if (UDTRecord.class.isAssignableFrom(arrayType)) {
try {
UDTRecord> record = (UDTRecord>) arrayType.newInstance();
for (Field> f : record.fields()) {
result.add(fieldByName(f.getDataType(), alias, f.getName()));
}
}
catch (Exception e) {
throw new DataTypeException("Bad UDT Type : " + arrayType, e);
}
}
// Simple array types have a synthetic field called "COLUMN_VALUE"
else {
result.add(fieldByName(DSL.getDataType(arrayType), alias, "COLUMN_VALUE"));
}
return new Fields(result);
}
@Override
public final Class extends Record> getRecordType() {
return RecordImpl.class;
}
@Override
public final Table as(String as) {
return new ArrayTable(array, as);
}
@Override
public final Table as(String as, String... fieldAliases) {
return new ArrayTable(array, as, fieldAliases);
}
@Override
public final boolean declaresTables() {
// Always true, because unnested tables are always aliased
return true;
}
@Override
public final void accept(Context> ctx) {
ctx.visit(table(ctx.configuration()));
}
private final Table table(Configuration configuration) {
switch (configuration.dialect().family()) {
/* [pro] xx
xxxx xxxxxxx x
xx xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx x
xxxxxx xxxxxxxxxxxxxxxxxxxxx
x
xxxx x
xxxxxx xxx xxxxxxxxxxxxxxxxxxxxxxxxxxxxx
x
x
xx [/pro] */
case H2: {
return new H2ArrayTable().as(alias);
}
// [#756] These dialects need special care when aliasing unnested
// arrays
case HSQLDB:
case POSTGRES: {
return new PostgresHSQLDBTable().as(alias);
}
// Other dialects can simulate unnested arrays using UNION ALL
default: {
if (array.getDataType().getType().isArray() && array instanceof Param) {
return simulate();
}
else {
throw new SQLDialectNotSupportedException("ARRAY TABLE is not supported for " + configuration.dialect());
}
}
}
}
private class PostgresHSQLDBTable extends DialectArrayTable {
/**
* Generated UID
*/
private static final long serialVersionUID = 6989279597964488457L;
@Override
public final void accept(Context> ctx) {
ctx.sql("(").keyword("select").sql(" * ")
.keyword("from").sql(" ").keyword("unnest").sql("(").visit(array).sql(") ")
.keyword("as").sql(" ").literal(alias)
.sql("(").literal("COLUMN_VALUE").sql("))");
}
}
private class H2ArrayTable extends DialectArrayTable {
/**
* Generated UID
*/
private static final long serialVersionUID = 8679404596822098711L;
@Override
public final void accept(Context> ctx) {
ctx.keyword("table(").sql("COLUMN_VALUE ");
// If the array type is unknown (e.g. because it's returned from
// a stored function
// Then the best choice for arbitrary types is varchar
if (array.getDataType().getType() == Object[].class) {
ctx.keyword(H2DataType.VARCHAR.getTypeName());
}
else {
ctx.keyword(array.getDataType().getTypeName());
}
ctx.sql(" = ").visit(array).sql(")");
}
}
/* [pro] xx
xxxxxxx xxxxx xxxxxxxxxxxxxxxx xxxxxxx xxxxxxxxxxxxxxxxx x
xxx
x xxxxxxxxx xxx
xx
xxxxxxx xxxxxx xxxxx xxxx xxxxxxxxxxxxxxxx x xxxxxxxxxxxxxxxxxxxxx
xxxxxxxxx
xxxxxx xxxxx xxxx xxxxxxxxxxxxxxxxx xxxx x
xxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxx
x
x
xx [/pro] */
private abstract class DialectArrayTable extends AbstractTable {
/**
* Generated UID
*/
private static final long serialVersionUID = 2662639259338694177L;
DialectArrayTable() {
super(alias);
}
@Override
public final Class extends Record> getRecordType() {
return RecordImpl.class;
}
@Override
public final Table as(String as) {
return new TableAlias(this, as);
}
@Override
public final Table as(String as, String... fieldAliases) {
return new TableAlias(this, as, fieldAliases);
}
@Override
final Fields fields0() {
return ArrayTable.this.fields0();
}
}
@SuppressWarnings("unchecked")
private final ArrayTableSimulation simulate() {
return new ArrayTableSimulation(((Param