Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/2701#discussion_r19121837
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/Metadata.scala
---
@@ -0,0 +1,252 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.catalyst.util
+
+import scala.collection.mutable
+
+import org.json4s._
+import org.json4s.jackson.JsonMethods._
+
+/**
+ * Metadata is a wrapper over Map[String, Any] that limits the value type
to simple ones: Boolean,
+ * Long, Double, String, Metadata, Array[Boolean], Array[Long],
Array[Double], Array[String], and
--- End diff --
Do we want to use `Array` or `Seq` here? I always find the variance
semantics of using `Array` to be kind of confusing and so usually prefer `Seq`
unless the space/performance is critical.
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