sql server left out join
时间: 2023-10-05 15:10:38 浏览: 180
在 SQL Server 中,你可以使用 LEFT OUTER JOIN(左外连接)来将两个或多个表连接起来,并返回左表中的所有行以及与右表匹配的行。左外连接保留左表的所有行,即使在右表中没有匹配的行也是如此。
下面是一个使用 LEFT OUTER JOIN 的示例查询:
```
SELECT *
FROM Table1
LEFT OUTER JOIN Table2 ON Table1.column = Table2.column;
```
在这个示例中,Table1 是左表,Table2 是右表,column 是它们之间的共同列。这个查询将返回 Table1 中的所有行,以及与 Table1.column 匹配的 Table2 中的行。如果在 Table2 中没有匹配的行,则相应的列将包含 NULL 值。
请根据你的实际表名和列名修改上述查询以适应你的需求。
相关问题
Java ,druid 解析sql,并通过 feign接口查询到的表元数据,替换包含left join 的select sql语句中的*,支持mysql、hive、postgresql、oracle、sqlserver等多种数据库。需要写出代码
下面是使用Java和Druid实现解析SQL语句,并通过Feign接口查询表元数据,替换包含left join的select语句中的*的示例代码:
```java
import com.alibaba.druid.sql.SQLUtils;
import com.alibaba.druid.sql.ast.SQLExpr;
import com.alibaba.druid.sql.ast.SQLJoinTableSource;
import com.alibaba.druid.sql.ast.SQLStatement;
import com.alibaba.druid.sql.ast.expr.SQLIdentifierExpr;
import com.alibaba.druid.sql.ast.statement.SQLSelect;
import com.alibaba.druid.sql.ast.statement.SQLSelectItem;
import com.alibaba.druid.sql.ast.statement.SQLSelectQueryBlock;
import com.alibaba.druid.sql.ast.statement.SQLTableSource;
import com.alibaba.druid.sql.dialect.mysql.ast.statement.MySqlSelectQueryBlock;
import com.alibaba.druid.sql.dialect.mysql.visitor.MySqlOutputVisitor;
import com.alibaba.druid.util.JdbcConstants;
import java.util.List;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class SqlParser {
private static final String DB_TYPE_MYSQL = "mysql";
private static final String DB_TYPE_ORACLE = "oracle";
private static final String DB_TYPE_POSTGRESQL = "postgresql";
private static final String DB_TYPE_SQLSERVER = "sqlserver";
private static final String DB_TYPE_HIVE = "hive";
private static final Pattern LEFT_JOIN_PATTERN = Pattern.compile("(?i)\\b(left join)\\b");
private FeignClient feignClient; // Feign接口
public void parseAndReplaceSql(String sql, String dbType) {
// 解析SQL语句
List<SQLStatement> sqlStatements = SQLUtils.parseStatements(sql, dbType);
for (SQLStatement statement : sqlStatements) {
// 只处理SELECT语句
if (statement instanceof SQLSelect) {
SQLSelect select = (SQLSelect) statement;
SQLSelectQueryBlock queryBlock = (SQLSelectQueryBlock) select.getQuery();
// 获取所有SELECT项
List<SQLSelectItem> selectItems = queryBlock.getSelectList();
// 判断是否包含LEFT JOIN
boolean hasLeftJoin = false;
SQLTableSource from = queryBlock.getFrom();
if (from instanceof SQLJoinTableSource) {
SQLJoinTableSource join = (SQLJoinTableSource) from;
if (join.getJoinType().getName().equalsIgnoreCase("left join")) {
hasLeftJoin = true;
}
}
// 如果包含LEFT JOIN,则替换SELECT项中的*
if (hasLeftJoin) {
for (int i = 0; i < selectItems.size(); i++) {
SQLSelectItem item = selectItems.get(i);
SQLExpr expr = item.getExpr();
if (expr instanceof SQLIdentifierExpr && ((SQLIdentifierExpr) expr).getName().equals("*")) {
// 调用Feign接口查询表元数据,替换SELECT项中的*
String tableName = ((SQLIdentifierExpr) from).getName(); // 获取表名
List<TableColumn> columns = feignClient.getTableColumns(tableName);
StringBuilder sb = new StringBuilder();
for (TableColumn column : columns) {
sb.append(column.getColumnName()).append(",");
}
sb.deleteCharAt(sb.length() - 1);
item.setExpr(SQLUtils.toSQLExpr(sb.toString(), dbType));
selectItems.set(i, item);
}
}
}
}
}
// 生成替换后的SQL语句
String resultSql = SQLUtils.toSQLString(sqlStatements, dbType, new MySqlOutputVisitor());
System.out.println(resultSql);
}
}
// 表元数据
class TableColumn {
private String columnName;
private String columnType;
// getter/setter
}
// Feign接口
@FeignClient(name = "metadata-service")
public interface FeignClient {
@GetMapping("/tableColumns")
List<TableColumn> getTableColumns(@RequestParam("tableName") String tableName);
}
```
需要注意的是,上述代码中的`FeignClient`是使用Spring Cloud Feign实现的,需要在项目中引入相应的依赖。同时,`getTableColumns`方法需要根据实际情况进行修改,具体实现可以参考Feign的使用文档。
Java ,druid 解析sql,并通过 feign接口查询到的表元数据,替换包含left join的insert into table ass_data select sql,支持mysql、hive、postgresql、oracle、sqlserver等多种数据库。需要写出代码
以下是一个示例代码,解析 SQL 并替换其中的 left join:
```java
import java.sql.*;
import java.util.*;
import java.util.regex.*;
import com.alibaba.druid.pool.*;
import com.alibaba.druid.sql.*;
import com.alibaba.druid.sql.ast.*;
import com.alibaba.druid.sql.ast.expr.*;
import com.alibaba.druid.sql.ast.statement.*;
import com.alibaba.druid.sql.dialect.mysql.visitor.*;
import com.alibaba.druid.sql.dialect.oracle.visitor.*;
import com.alibaba.druid.sql.dialect.postgresql.visitor.*;
import com.alibaba.druid.sql.dialect.sqlserver.visitor.*;
import com.alibaba.druid.sql.visitor.*;
import feign.*;
import feign.jackson.*;
public class SQLParser {
private static final Pattern LEFT_JOIN_PATTERN = Pattern.compile("\\bleft join\\b", Pattern.CASE_INSENSITIVE);
public static void main(String[] args) throws Exception {
String sql = "insert into table ass_data select a.*, b.* from table_a a left join table_b b on a.id = b.a_id";
String replacedSql = replaceLeftJoin(sql);
System.out.println(replacedSql);
// 使用 Feign 查询表元数据
String url = "http://localhost:8080/metaData";
String databaseType = "mysql"; // 数据库类型
String tableName = "table_a"; // 表名
Feign.Builder builder = Feign.builder().encoder(new JacksonEncoder()).decoder(new JacksonDecoder());
MetaDataService metaDataService = builder.target(MetaDataService.class, url);
TableMetaData tableMetaData = metaDataService.getTableMetaData(databaseType, tableName);
System.out.println(tableMetaData);
}
public static String replaceLeftJoin(String sql) throws Exception {
SQLStatementParser parser = new SQLStatementParser(sql);
SQLStatement statement = parser.parseStatement();
if (statement instanceof SQLInsertStatement) {
SQLInsertStatement insertStatement = (SQLInsertStatement) statement;
SQLSelectQuery selectQuery = insertStatement.getQuery().getQuery();
if (selectQuery instanceof SQLSelectQueryBlock) {
SQLSelectQueryBlock queryBlock = (SQLSelectQueryBlock) selectQuery;
List<SQLJoinTableSource> joinList = queryBlock.getJoinList();
for (SQLJoinTableSource join : joinList) {
if (join.getJoinType() == SQLJoinTableSource.JoinType.LEFT_OUTER_JOIN) {
String joinSql = SQLUtils.toMySqlString(join.getCondition());
if (LEFT_JOIN_PATTERN.matcher(joinSql).find()) {
// 使用 Feign 查询表元数据
String url = "http://localhost:8080/metaData";
String databaseType = "mysql"; // 数据库类型
String tableName = join.getRight().toString(); // 右表名
Feign.Builder builder = Feign.builder().encoder(new JacksonEncoder()).decoder(new JacksonDecoder());
MetaDataService metaDataService = builder.target(MetaDataService.class, url);
TableMetaData tableMetaData = metaDataService.getTableMetaData(databaseType, tableName);
if (tableMetaData != null) {
String tableAlias = join.getRight().getAlias();
if (tableAlias == null) {
tableAlias = join.getRight().toString();
}
String primaryKey = tableMetaData.getPrimaryKey();
StringBuilder sb = new StringBuilder();
sb.append("select a.*, b.* from ");
sb.append(join.getLeft().toString());
sb.append(" a left join ");
sb.append(join.getRight().toString());
sb.append(" b on a.");
sb.append(primaryKey);
sb.append(" = b.");
sb.append(primaryKey);
sb.append(" where ");
sb.append(join.getLeft().toString());
sb.append(".");
sb.append(primaryKey);
sb.append(" is not null");
if (tableAlias != null) {
sb.append(" and ");
sb.append(tableAlias);
sb.append(".");
sb.append(primaryKey);
sb.append(" is null");
}
queryBlock.setFrom(new SQLSubqueryTableSource(new SQLSelectStatement(new SQLSelect(sb.toString()), databaseType)));
join.setJoinType(SQLJoinTableSource.JoinType.INNER_JOIN);
join.setCondition(null);
}
}
}
}
return SQLUtils.toMySqlString(selectQuery);
}
}
return sql;
}
}
interface MetaDataService {
@RequestLine("GET /metaData?databaseType={databaseType}&tableName={tableName}")
TableMetaData getTableMetaData(@Param("databaseType") String databaseType, @Param("tableName") String tableName);
}
class TableMetaData {
private String tableName;
private List<String> columnNames;
private String primaryKey;
public String getTableName() {
return tableName;
}
public void setTableName(String tableName) {
this.tableName = tableName;
}
public List<String> getColumnNames() {
return columnNames;
}
public void setColumnNames(List<String> columnNames) {
this.columnNames = columnNames;
}
public String getPrimaryKey() {
return primaryKey;
}
public void setPrimaryKey(String primaryKey) {
this.primaryKey = primaryKey;
}
@Override
public String toString() {
return "TableMetaData [tableName=" + tableName + ", columnNames=" + columnNames + ", primaryKey=" + primaryKey + "]";
}
}
```
上述代码使用 Druid 解析 SQL,替换其中的 left join,然后使用 Feign 查询表元数据。其中 `MetaDataService` 接口用于定义查询表元数据的 API,`TableMetaData` 类用于存储表元数据。请根据实际情况修改代码。
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