文章来自:http://blog.csdn.net/wind520/article/details/42109061
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定义的statement类型),执行100万次的时间对比。
- 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
参考: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