Java 8:ORM已经过时了

   public static void main(String[] args)
throws Exception {
    Class.forName("org.h2.Driver");
    try (Connection c = getConnection(
            "jdbc:h2:~/sql-goodies-with-mapping", 
            "sa", "")) {
 
        // This SQL statement produces all table
        // names and column names in the H2 schema
        String sql =
            "select table_name, column_name " +
            "from information_schema.columns " +
            "order by " +
                "table_catalog, " +
                "table_schema, " +
                "table_name, " +
                "ordinal_position";
 
        // This is jOOQ's way of executing the above
        // statement. Result implements List, which
        // makes subsequent steps much easier
        Result<Record> result =
        DSL.using(c)
           .fetch(sql)
    }
}

   DSL.using(c)
   .fetch(sql)
   .stream()
   .collect(groupingBy(
       r -> r.getValue("TABLE_NAME"),
       mapping(
           r -> r.getValue("COLUMN_NAME"),
           toList()
       )
   ))
   .forEach(
       (table, columns) -> 
           System.out.println(table + ": " + columns)
   );

   FUNCTION_COLUMNS: [ALIAS_CATALOG, ALIAS_SCHEMA, ...]
CONSTANTS: [CONSTANT_CATALOG, CONSTANT_SCHEMA, ...]
SEQUENCES: [SEQUENCE_CATALOG, SEQUENCE_SCHEMA, ...]

   DSL.using(c)
   .fetch(sql)
 
//这里我们把一个列表转化成一个Stream
 .stream() 
// 把Stream中的元素汇集成一个新的类型
   .collect(
 
// 收集器是一个分组操作，会生成一个map
            groupingBy(
 
// 分组操作的key是jOOQ记录的TABLE_NAME字段
       r -> r.getValue("TABLE_NAME"),
 
// 分组操作的值是用这个映射表达式来生成的
       mapping(
 
// 实际上是映射到每条jOOQ记录的COLUMN_NAME字段上
           r -> r.getValue("COLUMN_NAME"),
 
// 然后将所有的值收集到一个java.util.List中
           toList()
       )
   ))
 
// 一旦拿到了<String, List<String>>列表，
// 就可以很容易通过一个lambda表达式来使用它了

   .forEach(
       (table, columns) -> 
           System.out.println(table + ": " + columns)
   );

   import static java.util.stream.Collectors.*;

   DSL.using(c)
   .fetch(sql)
   .stream()
   .collect(groupingBy(
       r -> r.getValue("TABLE_NAME"),
 
       // Add this Supplier to the groupingBy
       // method call
       LinkedHashMap::new,
       mapping(
           r -> r.getValue("COLUMN_NAME"),
           toList()
       )
   ))
   .forEach(...);

   String sql =
    "select " +
        "table_name, " +
        "column_name, " +
        "type_name " + // Add the column type
    "from information_schema.columns " +
    "order by " +
        "table_catalog, " +
        "table_schema, " +
        "table_name, " +
        "ordinal_position";

   class Column {
    final String name;
    final String type
    Column(String name, String type) {
        this.name = name;
        this.type = type;
    }
}

   result
    .stream()
    .collect(groupingBy(
        r -> r.getValue("TABLE_NAME"),
        LinkedHashMap::new,
        mapping(
 
            // We now collect this new wrapper type
            // instead of just the COLUMN_NAME
            r -> new Column(
                r.getValue("COLUMN_NAME", String.class),
                r.getValue("TYPE_NAME", String.class)
            ),
            toList()
        )
    ))
    .forEach(
        (table, columns) -> {
 
            // Just emit a CREATE TABLE statement
            System.out.println(
                "CREATE TABLE " + table + " (");
 
            // Map each "Column" type into a String
            // containing the column specification,
            // and join them using comma and
            // newline. Done!
            System.out.println(
                columns.stream()
                       .map(col -> "  " + col.name +
                                    " " + col.type)
                       .collect(Collectors.joining(",\n"))
            );
 
            System.out.println(");");
        }
    );

   CREATE TABLE CATALOGS(
  CATALOG_NAME VARCHAR
);
CREATE TABLE COLLATIONS(
  NAME VARCHAR,
  KEY VARCHAR
);
CREATE TABLE COLUMNS(
  TABLE_CATALOG VARCHAR,
  TABLE_SCHEMA VARCHAR,
  TABLE_NAME VARCHAR,
  COLUMN_NAME VARCHAR,
  ORDINAL_POSITION INTEGER,
  COLUMN_DEFAULT VARCHAR,
  IS_NULLABLE VARCHAR,
  DATA_TYPE INTEGER,
  CHARACTER_MAXIMUM_LENGTH INTEGER,
  CHARACTER_OCTET_LENGTH INTEGER,
  NUMERIC_PRECISION INTEGER,
  NUMERIC_PRECISION_RADIX INTEGER,
  NUMERIC_SCALE INTEGER,
  CHARACTER_SET_NAME VARCHAR,
  COLLATION_NAME VARCHAR,
  TYPE_NAME VARCHAR,
  NULLABLE INTEGER,
  IS_COMPUTED BOOLEAN,
  SELECTIVITY INTEGER,
  CHECK_CONSTRAINT VARCHAR,
  SEQUENCE_NAME VARCHAR,
  REMARKS VARCHAR,
  SOURCE_DATA_TYPE SMALLINT
);

   DSL.using(c)
   .select(
       COLUMNS.TABLE_NAME,
       COLUMNS.COLUMN_NAME,
       COLUMNS.TYPE_NAME
   )
   .from(COLUMNS)
   .orderBy(
       COLUMNS.TABLE_CATALOG,
       COLUMNS.TABLE_SCHEMA,
       COLUMNS.TABLE_NAME,
       COLUMNS.ORDINAL_POSITION
   )
   .fetch()  // jOOQ ends here
   .stream() // Streams start here
   .collect(groupingBy(
       r -> r.getValue(COLUMNS.TABLE_NAME),
       LinkedHashMap::new,
       mapping(
           r -> new Column(
               r.getValue(COLUMNS.COLUMN_NAME),
               r.getValue(COLUMNS.TYPE_NAME)
           ),
           toList()
       )
   ))
   .forEach(
       (table, columns) -> {
            // Just emit a CREATE TABLE statement
            System.out.println(
                "CREATE TABLE " + table + " (");
 
            // Map each "Column" type into a String
            // containing the column specification,
            // and join them using comma and
            // newline. Done!
            System.out.println(
                columns.stream()
                       .map(col -> "  " + col.name +
                                    " " + col.type)
                       .collect(Collectors.joining(",\n"))
            );
 
           System.out.println(");");
       }
   );