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jOOQ and Java 8
Applies to ✅ Open Source Edition ✅ Express Edition ✅ Professional Edition ✅ Enterprise Edition
Java 8 has introduced a great set of enhancements, among which lambda expressions and the new java.util.stream.Stream. These new constructs align very well with jOOQ's fluent API as can be seen in the following examples:
jOOQ and lambda expressions
jOOQ's RecordMapper API is fully Java-8-ready, which basically means that it is a SAM (Single Abstract Method) type, which can be instanciated using a lambda expression. Consider this example:
try (Connection c = getConnection()) {
String sql = "select schema_name, is_default " +
"from information_schema.schemata " +
"order by schema_name";
DSL.using(c)
.fetch(sql)
// We can use lambda expressions to map jOOQ Records
.map(rs -> new Schema(
rs.getValue("SCHEMA_NAME", String.class),
rs.getValue("IS_DEFAULT", boolean.class)
))
// ... and then profit from the new Collection methods
.forEach(System.out::println);
}
The above example shows how jOOQ's Result.map() method can receive a lambda expression that implements RecordMapper to map from jOOQ Records to your custom types.
jOOQ and the Streams API
jOOQ's Result type extends java.util.List, which opens up access to a variety of new Java features in Java 8. The following example shows how easy it is to transform a jOOQ Result containing INFORMATION_SCHEMA meta data to produce DDL statements:
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() // JDK 8 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(");");
}
);
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