The DataStream or DataSet registered as a Table

StreamTableEnvironment tableEnv = ...;

DataStream<Tuple2<Long, String>> stream = ...

//将 DataStream 注册为 myTable 表 
tableEnv.registerDataStream("myTable", stream);

//将 DataStream 注册为 myTable2 表（表中的字段为 myLong、myString） 
tableEnv.registerDataStream("myTable2", stream, "myLong, myString");

The DataStream or DataSet converted to Table

StreamTableEnvironment tableEnv = ...;

DataStream<Tuple2<Long, String>> stream = ...

//将 DataStream 转换成 Table 
Table table1 = tableEnv.fromDataStream(stream);

//将 DataStream 转换成 Table 
Table table2 = tableEnv.fromDataStream(stream, "myLong, myString");

Table converted into DataStream

StreamTableEnvironment tableEnv = ...;

//有两个字段(name、age) 的 Table 
Table table = ...

//通过指定类，将表转换为一个 append DataStream

DataStream<Row> dsRow = tableEnv.toAppendStream(table, Row.class);

//将表转换为 Tuple2<String, Integer> 的 append DataStream 
TupleTypeInfo<Tuple2<String, Integer>> tupleType = new TupleTypeInfo<> (Types.STRING(), Types.INT()); 
DataStream<Tuple2<String, Integer>> dsTuple = tableEnv.toAppendStream(table, tupleType);

//将表转换为一个 Retract DataStream Row 
DataStream<Tuple2<Boolean, Row>> retractStream = tableEnv.toRetractStream(table, Row.class);

Table converted into DataSet

BatchTableEnvironment tableEnv = BatchTableEnvironment.create(env);

//有两个字段(name、age) 的 Table 
Table table = ...

//通过指定一个类将表转换为一个 Row DataSet 
DataSet<Row> dsRow = tableEnv.toDataSet(table, Row.class);

//将表转换为 Tuple2<String, Integer> 的 DataSet
TupleTypeInfo<Tuple2<String, Integer>> tupleType = new TupleTypeInfo<> (Types.STRING(), Types.INT());
DataSet<Tuple2<String, Integer>> dsTuple = tableEnv.toDataSet(table, tupleType);

SQL Connector

Using the code

tableEnvironment
//声明要连接的外部系统 
.connect( 
	new Kafka() .version("0.10") .topic("goog") .startFromEarliest() .property("zookeeper.connect", "localhost:2181") .property("bootstrap.servers", "localhost:9092")

) 
//定义数据格式 
.withFormat(
	new Avro() .avroSchema( "{" + " \"namespace\": \"com.goog\"," + " \"type\": \"record\"," + " \"name\": \"UserMessage\"," + " \"fields\": [" + " {\"name\": \"timestamp\", \"type\": \"string\"}," + " {\"name\": \"user\", \"type\": \"long\"}," + " {\"name\": \"message\", \"type\": [\"string\", \"null\"]}" + " ]" + "}"

)

) 
//定义 
Table schema .withSchema(
	new Schema() .field("rowtime", Types.SQL_TIMESTAMP).rowtime(new Rowtime() .timestampsFromField("timestamp") .watermarksPeriodicBounded(60000) ) .field("user", Types.LONG) .field("message", Types.STRING)

) .inAppendMode() 
//指定流表的 update-mode 
.registerTableSource("simon"); //注册表的名字