Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/999#discussion_r13520450
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/json/JsonTable.scala
---
@@ -0,0 +1,364 @@
+/*
+ * 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.json
+
+import org.apache.spark.annotation.Experimental
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.execution.{ExistingRdd, SparkLogicalPlan}
+import org.apache.spark.sql.catalyst.plans.logical._
+import org.apache.spark.sql.catalyst.types._
+import org.apache.spark.sql.SchemaRDD
+import org.apache.spark.sql.Logging
+import org.apache.spark.sql.catalyst.expressions.{Alias,
AttributeReference, GetField}
+
+import com.fasterxml.jackson.databind.ObjectMapper
+
+import scala.collection.JavaConversions._
+import scala.math.BigDecimal
+import org.apache.spark.sql.catalyst.expressions.GetField
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.execution.SparkLogicalPlan
+import org.apache.spark.sql.catalyst.expressions.Alias
+import org.apache.spark.sql.catalyst.expressions.GetField
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.execution.SparkLogicalPlan
+import org.apache.spark.sql.catalyst.expressions.Alias
+import org.apache.spark.sql.catalyst.types.StructField
+import org.apache.spark.sql.catalyst.types.StructType
+import org.apache.spark.sql.catalyst.types.ArrayType
+import org.apache.spark.sql.catalyst.expressions.GetField
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.execution.SparkLogicalPlan
+import org.apache.spark.sql.catalyst.expressions.Alias
+
+sealed trait SchemaResolutionMode
+
+case object EAGER_SCHEMA_RESOLUTION extends SchemaResolutionMode
+case class EAGER_SCHEMA_RESOLUTION_WITH_SAMPLING(val fraction: Double)
extends SchemaResolutionMode
+case object LAZY_SCHEMA_RESOLUTION extends SchemaResolutionMode
+
+/**
+ * :: Experimental ::
+ * Converts a JSON file to a SparkSQL logical query plan. This
implementation is only designed to
+ * work on JSON files that have mostly uniform schema. The conversion
suffers from the following
+ * limitation:
+ * - The data is optionally sampled to determine all of the possible
fields. Any fields that do
+ * not appear in this sample will not be included in the final output.
+ */
+@Experimental
+object JsonTable extends Serializable with Logging {
+ def inferSchema(
+ json: RDD[String], sampleSchema: Option[Double] = None): LogicalPlan
= {
--- End diff --
Good idea, I like that better than Option.
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