Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/13269#discussion_r64940498
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/encoders/ExpressionEncoder.scala
---
@@ -191,6 +189,26 @@ case class ExpressionEncoder[T](
if (flat) require(serializer.size == 1)
+ /**
+ * Returns a new copy of this encoder, where the `deserializer` is
resolved and bound to the
+ * given schema.
+ *
+ * Note that, ideally encoder is used as a container of serde
expressions, the resolution and
+ * binding stuff should happen inside query framework. However, in some
cases we need to
+ * use encoder as a function to do serialization directly(e.g.
Dataset.collect), then we can use
+ * this method to do resolution and binding outside of query framework.
+ */
+ def resolveAndBind(
+ attrs: Seq[Attribute] = schema.toAttributes,
+ analyzer: Analyzer = SimpleAnalyzer): ExpressionEncoder[T] = {
--- End diff --
Where do we pass in an existing analyzer?
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