编写Java代码，使用druid 1.2.5实现mysql、clickhouse、ElsticSearch的sql解析，实现血缘关系分析，输出 字段-->来源表.来源字段名

好的，以下是Java代码示例：

import com.alibaba.druid.sql.SQLUtils;
import com.alibaba.druid.sql.ast.SQLExpr;
import com.alibaba.druid.sql.ast.SQLStatement;
import com.alibaba.druid.sql.dialect.clickhouse.parser.ClickhouseStatementParser;
import com.alibaba.druid.sql.dialect.elasticjob.parser.ElasticJobStatementParser;
import com.alibaba.druid.sql.dialect.mysql.parser.MySqlStatementParser;
import com.alibaba.druid.sql.dialect.mysql.visitor.MySqlSchemaStatVisitor;
import com.alibaba.druid.sql.dialect.postgresql.visitor.PGSchemaStatVisitor;
import com.alibaba.druid.sql.dialect.sqlserver.visitor.SQLServerSchemaStatVisitor;
import com.alibaba.druid.stat.TableStat;
import com.alibaba.druid.util.JdbcConstants;

import java.util.List;
import java.util.Map;

public class SqlParserDemo {
    public static void main(String[] args) {
        String mysqlSql = "SELECT t1.id, t2.name FROM table1 t1, table2 t2 WHERE t1.id = t2.id";
        String clickhouseSql = "SELECT id, name FROM table1";
        String elasticSearchSql = "SELECT id, title FROM index1 WHERE content LIKE '%keyword%'";

        // 解析mysql sql
        List<SQLStatement> mysqlStatements = SQLUtils.parseStatements(mysqlSql, JdbcConstants.MYSQL);
        MySqlSchemaStatVisitor mysqlVisitor = new MySqlSchemaStatVisitor();
        for (SQLStatement mysqlStatement : mysqlStatements) {
            mysqlStatement.accept(mysqlVisitor);
        }

        // 解析clickhouse sql
        List<SQLStatement> clickhouseStatements = SQLUtils.parseStatements(clickhouseSql, JdbcConstants.CLICKHOUSE);
        ClickhouseStatementParser clickhouseParser = new ClickhouseStatementParser(clickhouseSql);
        SQLStatement clickhouseStatement = clickhouseParser.parseStatement();
        PGSchemaStatVisitor clickhouseVisitor = new PGSchemaStatVisitor();
        clickhouseStatement.accept(clickhouseVisitor);

        // 解析elastic search sql
        List<SQLStatement> elasticSearchStatements = SQLUtils.parseStatements(elasticSearchSql, JdbcConstants.ELASTIC_SEARCH);
        ElasticJobStatementParser esParser = new ElasticJobStatementParser(elasticSearchSql);
        SQLStatement esStatement = esParser.parseStatement();
        SQLServerSchemaStatVisitor esVisitor = new SQLServerSchemaStatVisitor();
        esStatement.accept(esVisitor);

        // 输出字段来源表和字段名称
        Map<TableStat.Name, TableStat> mysqlTableMap = mysqlVisitor.getTables();
        for (Map.Entry<TableStat.Name, TableStat> entry : mysqlTableMap.entrySet()) {
            TableStat.Name tableName = entry.getKey();
            TableStat tableStat = entry.getValue();
            Map<String, TableStat.Column> columnMap = tableStat.getColumns();
            for (Map.Entry<String, TableStat.Column> columnEntry : columnMap.entrySet()) {
                String columnName = columnEntry.getKey();
                TableStat.Column columnStat = columnEntry.getValue();
                List<SQLExpr> exprList = columnStat.getExprList();
                for (SQLExpr expr : exprList) {
                    System.out.println(columnName + "-->" + tableName.getName() + "." + expr.toString());
                }
            }
        }

        Map<TableStat.Name, TableStat> clickhouseTableMap = clickhouseVisitor.getTables();
        for (Map.Entry<TableStat.Name, TableStat> entry : clickhouseTableMap.entrySet()) {
            TableStat.Name tableName = entry.getKey();
            TableStat tableStat = entry.getValue();
            Map<String, TableStat.Column> columnMap = tableStat.getColumns();
            for (Map.Entry<String, TableStat.Column> columnEntry : columnMap.entrySet()) {
                String columnName = columnEntry.getKey();
                TableStat.Column columnStat = columnEntry.getValue();
                List<SQLExpr> exprList = columnStat.getExprList();
                for (SQLExpr expr : exprList) {
                    System.out.println(columnName + "-->" + tableName.getName() + "." + expr.toString());
                }
            }
        }

        Map<TableStat.Name, TableStat> esTableMap = esVisitor.getTables();
        for (Map.Entry<TableStat.Name, TableStat> entry : esTableMap.entrySet()) {
            TableStat.Name tableName = entry.getKey();
            TableStat tableStat = entry.getValue();
            Map<String, TableStat.Column> columnMap = tableStat.getColumns();
            for (Map.Entry<String, TableStat.Column> columnEntry : columnMap.entrySet()) {
                String columnName = columnEntry.getKey();
                TableStat.Column columnStat = columnEntry.getValue();
                List<SQLExpr> exprList = columnStat.getExprList();
                for (SQLExpr expr : exprList) {
                    System.out.println(columnName + "-->" + tableName.getName() + "." + expr.toString());
                }
            }
        }
    }
}

以上代码实现了使用Druid解析MySQL、Clickhouse、ElasticSearch的SQL语句，并输出字段来源表和字段名称的血缘关系信息。注意，代码中需要引入Druid的相关依赖，以及各数据库的驱动包。