Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/1867#discussion_r59224299
--- Diff: docs/apis/batch/libs/table.md ---
@@ -408,3 +428,132 @@ Here, `literal` is a valid Java literal and `field
reference` specifies a column
column names follow Java identifier syntax.
Only the types `LONG` and `STRING` can be casted to `DATE` and vice versa.
A `LONG` casted to `DATE` must be a milliseconds timestamp. A `STRING` casted
to `DATE` must have the format "`yyyy-MM-dd HH:mm:ss.SSS`", "`yyyy-MM-dd`",
"`HH:mm:ss`", or a milliseconds timestamp. By default, all timestamps refer to
the UTC timezone beginning from January 1, 1970, 00:00:00 in milliseconds.
+
+{% top %}
+
+SQL
+----
+The Table API also supports embedded SQL queries.
+In order to use a `Table` or `DataSet` in a SQL query, it has to be
registered in the `TableEnvironment`, using a unique name.
+A registered `Table` can be retrieved back from the `TableEnvironment`
using the `scan` method:
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
+// create a Table environment
+TableEnvironment tableEnv = new TableEnvironment();
+// reset the translation context: this will erase existing registered
Tables
+TranslationContext.reset();
+// read a DataSet from an external source
+DataSet<Tuple2<Integer, Long>> ds = env.readTextFile(...);
--- End diff --
`readTextFile()` results in a `DataSet<String>`. We need to add a `map`
step or use `readCsvFile()`.
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