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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1100万次的时间对比。
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"); } }
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
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原文地址:http://blog.csdn.net/wind520/article/details/42109061