對同一個sql語句，使用3種解析器解析出ast語法樹（這是編譯原理上的說法，在sql解析式可能就是解析器自定義的statement類型），執(zhí)行100萬次的時間對比。

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 位操作符號解析問題 add by micmiuparser.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 blocke.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 blocke.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"); } }
輸出結果：

1419327695186
1000000times parse,fdb cost:24468ms
1000000times parse,JSQLParser cost:11469ms
1000000times parse ,druid cost:1454ms

100萬次：druid比fdbparser快16倍，比JSQLParser快近8倍

參考：Mycat路由新解析器選型分析與結果.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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