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The jBATIS persistence framework will help you to significantly reduce the amount of Java code that you normally need to access a relational database. iBATIS simply maps JavaBeans to SQL statements using a very simple XML descriptor.

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/*-
 * Copyright 2009-2017 Owl Group
 * All rights reserved.
 */
package com.ibatis.sqlmap.client.lexer;

import java.util.ArrayList;
import java.util.List;

/**
 * TT
 * 

* Date: 2018-01-02 * * @author Song Sun * @version 1.0 */ public enum TT { Literal(true, false, null), // ------------- Operator(false, true, null), Space(false, true, " "), Dot(false, true, "."), Asterisk(false, true, "*"), Question(false, true, "?"), Comma(false, true, ","), // Backquote(false, true, "`"), SemiColon(false, true, ";"), Lp(false, true, "("), Rp(false, true, ")"), // ------------- Word(false, false, null), Select(false, false, "SELECT"), Top(false, false, "TOP"), As(false, false, "AS"), Fetch(false, false, "FETCH"), From(false, false, "FROM"), Join(false, false, "JOIN"), On(false, false, "ON"), Where(false, false, "WHERE"), And(false, false, "AND"), Or(false, false, "OR"), Group(false, false, "GROUP"), Having(false, false, "HAVING"), By(false, false, "BY"), Order(false, false, "ORDER"), Limit(false, false, "LIMIT"), Offset(false, false, "OFFSET"), Update(false, false, "UPDATE"), Set(false, false, "SET"), Delete(false, false, "DELETE"), Insert(false, false, "INSERT"), Into(false, false, "INTO"), Values(false, false, "VALUES"), Replace(false, false, "REPLACE"), // ------------- Clause(false, false, null); public final boolean literal; public final boolean symbol; public final boolean word; public final String text; private TT(boolean literal, boolean symbol, String text) { this.literal = literal; this.symbol = symbol; this.word = !literal && !symbol; this.text = text; } static final TT[] words; static { List list = new ArrayList(); for (TT t : values()) { if (t.word && t.text != null) { list.add(t); } } words = list.toArray(new TT[list.size()]); } }