DataSource增加queryMap系列方法

This commit is contained in:
Redkale
2017-10-26 13:20:05 +08:00
parent 734b1bbbb4
commit 53b11116b9
3 changed files with 121 additions and 9 deletions

View File

@@ -13,6 +13,7 @@ import java.util.concurrent.CompletableFuture;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.function.*;
import java.util.logging.*;
import java.util.stream.Stream;
import javax.annotation.Resource;
import org.redkale.service.*;
import static org.redkale.source.DataSources.*;
@@ -448,7 +449,7 @@ public class DataJdbcSource extends AbstractService implements DataSource, DataC
}
String sql = "DELETE " + (this.readPool.isMysql() ? "a" : "") + " FROM " + info.getTable(node) + " a" + (join1 == null ? "" : (", " + join1))
+ ((where == null || where.length() == 0) ? (join2 == null ? "" : (" WHERE " + join2))
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2)))) + info.createSQLOrderby(flipper)
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2)))) + info.createSQLOrderby(flipper)
+ ((flipper == null || flipper.getLimit() < 1) ? "" : (" LIMIT " + flipper.getLimit()));
if (debug.get() && info.isLoggable(Level.FINEST)) logger.finest(info.getType().getSimpleName() + " delete sql=" + sql);
conn.setReadOnly(false);
@@ -704,7 +705,7 @@ public class DataJdbcSource extends AbstractService implements DataSource, DataC
String sql = "UPDATE " + info.getTable(node) + " a " + (join1 == null ? "" : (", " + join1))
+ " SET " + info.getSQLColumn("a", column) + " = ?"
+ ((where == null || where.length() == 0) ? (join2 == null ? "" : (" WHERE " + join2))
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
if (debug.get() && info.isLoggable(Level.FINEST)) logger.finest(info.getType().getSimpleName() + " update sql=" + sql);
conn.setReadOnly(false);
Blob blob = conn.createBlob();
@@ -717,7 +718,7 @@ public class DataJdbcSource extends AbstractService implements DataSource, DataC
String sql = "UPDATE " + info.getTable(node) + " a " + (join1 == null ? "" : (", " + join1))
+ " SET " + info.getSQLColumn("a", column) + " = " + info.formatToString(value)
+ ((where == null || where.length() == 0) ? (join2 == null ? "" : (" WHERE " + join2))
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
if (debug.get() && info.isLoggable(Level.FINEST)) logger.finest(info.getType().getSimpleName() + " update sql=" + sql);
conn.setReadOnly(false);
final Statement stmt = conn.createStatement();
@@ -922,7 +923,7 @@ public class DataJdbcSource extends AbstractService implements DataSource, DataC
}
String sql = "UPDATE " + info.getTable(node) + " a " + (join1 == null ? "" : (", " + join1)) + " SET " + setsql
+ ((where == null || where.length() == 0) ? (join2 == null ? "" : (" WHERE " + join2))
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
//注LIMIT 仅支持MySQL 且在多表关联式会异常, 该BUG尚未解决
sql += info.createSQLOrderby(flipper) + ((flipper == null || flipper.getLimit() < 1) ? "" : (" LIMIT " + flipper.getLimit()));
if (debug.get() && info.isLoggable(Level.FINEST)) logger.finest(info.getType().getSimpleName() + " update sql=" + sql);
@@ -1108,7 +1109,7 @@ public class DataJdbcSource extends AbstractService implements DataSource, DataC
}
String sql = "UPDATE " + info.getTable(node) + " a " + (join1 == null ? "" : (", " + join1)) + " SET " + setsql
+ ((where == null || where.length() == 0) ? (join2 == null ? "" : (" WHERE " + join2))
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
: (" WHERE " + where + (join2 == null ? "" : (" AND " + join2))));
if (debug.get() && info.isLoggable(Level.FINEST)) logger.finest(info.getType().getSimpleName() + " update sql=" + sql);
conn.setReadOnly(false);
if (blobs != null) {
@@ -1893,6 +1894,60 @@ public class DataJdbcSource extends AbstractService implements DataSource, DataC
return rs;
}
/**
* 查询符合过滤条件记录的Map集合, 主键值为key <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>
*
* @param <K> 主键泛型
* @param <T> Entity泛型
* @param clazz Entity类
* @param keyStream 主键Stream
*
* @return Entity的集合
*/
@Override
public <K extends Serializable, T> Map<K, T> queryMap(final Class<T> clazz, final Stream<K> keyStream) {
return queryMap(clazz, null, keyStream);
}
@Override
public <K extends Serializable, T> CompletableFuture<Map<K, T>> queryMapAsync(final Class<T> clazz, final Stream<K> keyStream) {
return CompletableFuture.supplyAsync(() -> queryMap(clazz, null, keyStream), getExecutor());
}
/**
* 查询符合过滤条件记录的Map集合, 主键值为key <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>
*
* @param <K> 主键泛型
* @param <T> Entity泛型
* @param clazz Entity类
* @param selects 指定字段
* @param keyStream 主键Stream
*
* @return Entity的集合
*/
@Override
public <K extends Serializable, T> Map<K, T> queryMap(final Class<T> clazz, final SelectColumn selects, final Stream<K> keyStream) {
if (keyStream == null) return new LinkedHashMap<>();
final EntityInfo<T> info = loadEntityInfo(clazz);
final ArrayList<K> ids = new ArrayList<>();
keyStream.forEach(k -> ids.add(k));
final Attribute<T, Serializable> primary = info.primary;
List<T> rs = queryList(clazz, FilterNode.create(primary.field(), ids));
Map<K, T> map = new LinkedHashMap<>();
if (rs.isEmpty()) return new LinkedHashMap<>();
for (T item : rs) {
map.put((K) primary.get(item), item);
}
return map;
}
@Override
public <K extends Serializable, T> CompletableFuture<Map<K, T>> queryMapAsync(final Class<T> clazz, final SelectColumn selects, final Stream<K> keyStream) {
return CompletableFuture.supplyAsync(() -> queryMap(clazz, selects, keyStream), getExecutor());
}
/**
* 根据指定字段值查询对象集合
*

View File

@@ -8,6 +8,7 @@ package org.redkale.source;
import java.io.Serializable;
import java.util.*;
import java.util.concurrent.CompletableFuture;
import java.util.stream.Stream;
import org.redkale.util.*;
/**
@@ -1492,6 +1493,60 @@ public interface DataSource {
*/
public <T, V extends Serializable> CompletableFuture<Sheet<V>> queryColumnSheetAsync(final String selectedColumn, final Class<T> clazz, final Flipper flipper, final FilterNode node);
/**
* 查询符合过滤条件记录的Map集合, 主键值为key <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>
*
* @param <K> 主键泛型
* @param <T> Entity泛型
* @param clazz Entity类
* @param keyStream 主键Stream
*
* @return Entity的集合
*/
public <K extends Serializable, T> Map<K, T> queryMap(final Class<T> clazz, final Stream<K> keyStream);
/**
* 查询符合过滤条件记录的List集合 <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>
*
* @param <K> 主键泛型
* @param <T> Entity泛型
* @param clazz Entity类
* @param keyStream 主键Stream
*
* @return Entity的集合CompletableFuture
*/
public <K extends Serializable, T> CompletableFuture<Map<K, T>> queryMapAsync(final Class<T> clazz, final Stream<K> keyStream);
/**
* 查询符合过滤条件记录的Map集合, 主键值为key <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>
*
* @param <K> 主键泛型
* @param <T> Entity泛型
* @param clazz Entity类
* @param selects 指定字段
* @param keyStream 主键Stream
*
* @return Entity的集合
*/
public <K extends Serializable, T> Map<K, T> queryMap(final Class<T> clazz, final SelectColumn selects, final Stream<K> keyStream);
/**
* 查询符合过滤条件记录的List集合 <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>
*
* @param <K> 主键泛型
* @param <T> Entity泛型
* @param clazz Entity类
* @param selects 指定字段
* @param keyStream 主键Stream
*
* @return Entity的集合CompletableFuture
*/
public <K extends Serializable, T> CompletableFuture<Map<K, T>> queryMapAsync(final Class<T> clazz, final SelectColumn selects, final Stream<K> keyStream);
/**
* 查询符合过滤条件记录的List集合 <br>
* 等价SQL: SELECT * FROM {table} WHERE {column} = {key} ORDER BY {flipper.sort} LIMIT {flipper.limit} <br>

View File

@@ -55,9 +55,11 @@ public class FilterNode { //FilterNode 不能实现Serializable接口 否则
}
if (subval instanceof Range) {
exp = FilterExpress.BETWEEN;
} else if (subval instanceof Collection) {
exp = FilterExpress.IN;
} else if (subval != null && val.getClass().isArray()) {
// } else if (subval instanceof Collection) {
// exp = FilterExpress.IN;
// } else if (subval != null && val.getClass().isArray()) {
// exp = FilterExpress.IN;
} else {
exp = FilterExpress.IN;
}
} else { //空集合
@@ -280,7 +282,7 @@ public class FilterNode { //FilterNode 不能实现Serializable接口 否则
}
private static boolean needSplit(final FilterExpress express, final Object val0) {
if(val0 == null) return false;
if (val0 == null) return false;
boolean items = express != IN && express != NOTIN; //是否数组集合的表达式
if (!items) {
if (val0.getClass().isArray()) {