SQL解析器的性能測试

对同一个sql语句，使用3种解析器解析出ast语法树（这是编译原理上的说法，在sql解析式可能就是解析器自己定义的statement类型）。运行100万次的时间对照。

package demo.test;
import java.io.StringReader;
import java.sql.SQLSyntaxErrorException;

import net.sf.jsqlparser.JSQLParserException;
import net.sf.jsqlparser.parser.CCJSqlParser;
import net.sf.jsqlparser.parser.CCJSqlParserManager;
import net.sf.jsqlparser.statement.Statement;

import org.opencloudb.parser.SQLParserDelegate;

import com.alibaba.druid.sql.ast.SQLStatement;
import com.alibaba.druid.sql.dialect.mysql.parser.MySqlStatementParser;
import com.foundationdb.sql.parser.QueryTreeNode;
import com.foundationdb.sql.parser.SQLParser;
import com.foundationdb.sql.parser.SQLParserFeature;

public class TestParser {
	public static void main(String[] args) {
		String sql = "insert into employee(id,name,sharding_id) values(5, 'wdw',10010)";
		int count = 1000000;
		long start = System.currentTimeMillis();
		System.out.println(start);
		try {
			for(int i = 0; i < count; i++) {
				SQLParser parser = new SQLParser();
				parser.getFeatures().add(SQLParserFeature.DOUBLE_QUOTED_STRING);
				parser.getFeatures().add(SQLParserFeature.MYSQL_HINTS);
				parser.getFeatures().add(SQLParserFeature.MYSQL_INTERVAL);
				// fix 位操作符号解析问题 add by micmiu
				parser.getFeatures().add(SQLParserFeature.INFIX_BIT_OPERATORS);
				QueryTreeNode ast =parser.parseStatement(sql);
			//	QueryTreeNode ast = SQLParserDelegate.parse(sql,"utf-8" );
			}

		} catch (Exception e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}
		long end = System.currentTimeMillis();
		System.out.println(count + "times parse,fdb cost:" + (end - start) + "ms");

		start = end;
		try {
			for(int i = 0; i < count; i++) {
				//Statements stmt = CCJSqlParserUtil.parseStatements(sql);
				Statement stmt =new CCJSqlParserManager().parse(new StringReader(sql));
			}
		} catch (JSQLParserException e) {
			// TODO Auto-generated catch block
			e.printStackTrace();
		}
		end = System.currentTimeMillis();
		System.out.println(count + "times parse,JSQLParser cost:" + (end - start) + "ms");

		start = end;
		for(int i = 0; i < count; i++) {
			MySqlStatementParser parser = new MySqlStatementParser(sql);
			SQLStatement statement = parser.parseStatement();
		}

		end = System.currentTimeMillis();
		System.out.println(count + "times parse ,druid cost:" + (end - start) + "ms");
	}
}

输出结果：

1419327695186

1000000times parse,fdb cost:24468ms

1000000times parse,JSQLParser cost:11469ms

1000000times parse ,druid cost:1454ms

100万次：druid比fdbparser快16倍，比JSQLParser快近8倍

參考：Mycat路由新解析器选型分析与结果.docx

https://github.com/MyCATApache/Mycat-doc/blob/master/Mycat%E8%B7%AF%E7%94%B1%E6%96%B0%E8%A7%A3%E6%9E%90%E5%99%A8%E9%80%89%E5%9E%8B%E5%88%86%E6%9E%90%E4%B8%8E%E7%BB%93%E6%9E%9C.docx