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/*
* 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.execution.datasources.csv
import org.apache.spark.SparkFunSuite
import org.apache.spark.sql.types._
class InferSchemaSuite extends SparkFunSuite {
test("String fields types are inferred correctly from null types") {
assert(CSVInferSchema.inferField(NullType, "") == NullType)
assert(CSVInferSchema.inferField(NullType, null) == NullType)
assert(CSVInferSchema.inferField(NullType, "100000000000") == LongType)
assert(CSVInferSchema.inferField(NullType, "60") == IntegerType)
assert(CSVInferSchema.inferField(NullType, "3.5") == DoubleType)
assert(CSVInferSchema.inferField(NullType, "test") == StringType)
assert(CSVInferSchema.inferField(NullType, "2015-08-20 15:57:00") == TimestampType)
assert(CSVInferSchema.inferField(NullType, "True") == BooleanType)
assert(CSVInferSchema.inferField(NullType, "FAlSE") == BooleanType)
}
test("String fields types are inferred correctly from other types") {
assert(CSVInferSchema.inferField(LongType, "1.0") == DoubleType)
assert(CSVInferSchema.inferField(LongType, "test") == StringType)
assert(CSVInferSchema.inferField(IntegerType, "1.0") == DoubleType)
assert(CSVInferSchema.inferField(DoubleType, null) == DoubleType)
assert(CSVInferSchema.inferField(DoubleType, "test") == StringType)
assert(CSVInferSchema.inferField(LongType, "2015-08-20 14:57:00") == TimestampType)
assert(CSVInferSchema.inferField(DoubleType, "2015-08-20 15:57:00") == TimestampType)
assert(CSVInferSchema.inferField(LongType, "True") == BooleanType)
assert(CSVInferSchema.inferField(IntegerType, "FALSE") == BooleanType)
assert(CSVInferSchema.inferField(TimestampType, "FALSE") == BooleanType)
}
test("Timestamp field types are inferred correctly from other types") {
assert(CSVInferSchema.inferField(IntegerType, "2015-08-20 14") == StringType)
assert(CSVInferSchema.inferField(DoubleType, "2015-08-20 14:10") == StringType)
assert(CSVInferSchema.inferField(LongType, "2015-08 14:49:00") == StringType)
}
test("Boolean fields types are inferred correctly from other types") {
assert(CSVInferSchema.inferField(LongType, "Fale") == StringType)
assert(CSVInferSchema.inferField(DoubleType, "TRUEe") == StringType)
}
test("Type arrays are merged to highest common type") {
assert(
CSVInferSchema.mergeRowTypes(Array(StringType),
Array(DoubleType)).deep == Array(StringType).deep)
assert(
CSVInferSchema.mergeRowTypes(Array(IntegerType),
Array(LongType)).deep == Array(LongType).deep)
assert(
CSVInferSchema.mergeRowTypes(Array(DoubleType),
Array(LongType)).deep == Array(DoubleType).deep)
}
test("Null fields are handled properly when a nullValue is specified") {
assert(CSVInferSchema.inferField(NullType, "null", "null") == NullType)
assert(CSVInferSchema.inferField(StringType, "null", "null") == StringType)
assert(CSVInferSchema.inferField(LongType, "null", "null") == LongType)
assert(CSVInferSchema.inferField(IntegerType, "\\N", "\\N") == IntegerType)
assert(CSVInferSchema.inferField(DoubleType, "\\N", "\\N") == DoubleType)
assert(CSVInferSchema.inferField(TimestampType, "\\N", "\\N") == TimestampType)
assert(CSVInferSchema.inferField(BooleanType, "\\N", "\\N") == BooleanType)
}
test("Merging Nulltypes should yield Nulltype.") {
val mergedNullTypes = CSVInferSchema.mergeRowTypes(Array(NullType), Array(NullType))
assert(mergedNullTypes.deep == Array(NullType).deep)
}
}
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