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JsonSuite.scala
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JsonSuite.scala
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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.json
import java.io._
import java.nio.charset.{Charset, StandardCharsets, UnsupportedCharsetException}
import java.nio.file.Files
import java.sql.{Date, Timestamp}
import java.time.{Duration, Instant, LocalDate, LocalDateTime, Period, ZoneId}
import java.util.Locale
import com.fasterxml.jackson.core.JsonFactory
import org.apache.hadoop.fs.{Path, PathFilter}
import org.apache.hadoop.io.SequenceFile.CompressionType
import org.apache.hadoop.io.compress.GzipCodec
import org.apache.spark.{SparkConf, SparkException, TestUtils}
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{functions => F, _}
import org.apache.spark.sql.catalyst.json._
import org.apache.spark.sql.catalyst.util.{DateTimeTestUtils, DateTimeUtils}
import org.apache.spark.sql.execution.ExternalRDD
import org.apache.spark.sql.execution.datasources.{CommonFileDataSourceSuite, DataSource, InMemoryFileIndex, NoopCache}
import org.apache.spark.sql.execution.datasources.v2.json.JsonScanBuilder
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.test.SharedSparkSession
import org.apache.spark.sql.types._
import org.apache.spark.sql.types.StructType.fromDDL
import org.apache.spark.sql.types.TestUDT.{MyDenseVector, MyDenseVectorUDT}
import org.apache.spark.sql.util.CaseInsensitiveStringMap
import org.apache.spark.util.Utils
class TestFileFilter extends PathFilter {
override def accept(path: Path): Boolean = path.getParent.getName != "p=2"
}
abstract class JsonSuite
extends QueryTest
with SharedSparkSession
with TestJsonData
with CommonFileDataSourceSuite {
import testImplicits._
override protected def dataSourceFormat = "json"
test("Type promotion") {
def checkTypePromotion(expected: Any, actual: Any): Unit = {
assert(expected.getClass == actual.getClass,
s"Failed to promote ${actual.getClass} to ${expected.getClass}.")
assert(expected == actual,
s"Promoted value ${actual}(${actual.getClass}) does not equal the expected value " +
s"${expected}(${expected.getClass}).")
}
val factory = new JsonFactory()
def enforceCorrectType(
value: Any,
dataType: DataType,
options: Map[String, String] = Map.empty): Any = {
val writer = new StringWriter()
Utils.tryWithResource(factory.createGenerator(writer)) { generator =>
generator.writeObject(value)
generator.flush()
}
val dummyOption = new JSONOptions(options, SQLConf.get.sessionLocalTimeZone)
val dummySchema = StructType(Seq.empty)
val parser = new JacksonParser(dummySchema, dummyOption, allowArrayAsStructs = true)
Utils.tryWithResource(factory.createParser(writer.toString)) { jsonParser =>
jsonParser.nextToken()
val converter = parser.makeConverter(dataType)
converter.apply(jsonParser)
}
}
val intNumber: Int = 2147483647
checkTypePromotion(intNumber, enforceCorrectType(intNumber, IntegerType))
checkTypePromotion(intNumber.toLong, enforceCorrectType(intNumber, LongType))
checkTypePromotion(intNumber.toDouble, enforceCorrectType(intNumber, DoubleType))
checkTypePromotion(
Decimal(intNumber), enforceCorrectType(intNumber, DecimalType.SYSTEM_DEFAULT))
val longNumber: Long = 9223372036854775807L
checkTypePromotion(longNumber, enforceCorrectType(longNumber, LongType))
checkTypePromotion(longNumber.toDouble, enforceCorrectType(longNumber, DoubleType))
checkTypePromotion(
Decimal(longNumber), enforceCorrectType(longNumber, DecimalType.SYSTEM_DEFAULT))
val doubleNumber: Double = 1.7976931348623157d
checkTypePromotion(doubleNumber.toDouble, enforceCorrectType(doubleNumber, DoubleType))
checkTypePromotion(DateTimeUtils.fromJavaTimestamp(new Timestamp(intNumber * 1000L)),
enforceCorrectType(intNumber, TimestampType))
checkTypePromotion(DateTimeUtils.fromJavaTimestamp(new Timestamp(intNumber.toLong * 1000L)),
enforceCorrectType(intNumber.toLong, TimestampType))
val strTime = "2014-09-30 12:34:56"
checkTypePromotion(
expected = DateTimeUtils.fromJavaTimestamp(Timestamp.valueOf(strTime)),
enforceCorrectType(strTime, TimestampType,
Map("timestampFormat" -> "yyyy-MM-dd HH:mm:ss")))
val strDate = "2014-10-15"
checkTypePromotion(
DateTimeUtils.fromJavaDate(Date.valueOf(strDate)), enforceCorrectType(strDate, DateType))
val ISO8601Time1 = "1970-01-01T01:00:01.0Z"
checkTypePromotion(DateTimeUtils.fromJavaTimestamp(new Timestamp(3601000)),
enforceCorrectType(
ISO8601Time1,
TimestampType,
Map("timestampFormat" -> "yyyy-MM-dd'T'HH:mm:ss.SX")))
val ISO8601Time2 = "1970-01-01T02:00:01-01:00"
checkTypePromotion(DateTimeUtils.fromJavaTimestamp(new Timestamp(10801000)),
enforceCorrectType(
ISO8601Time2,
TimestampType,
Map("timestampFormat" -> "yyyy-MM-dd'T'HH:mm:ssXXX")))
val ISO8601Date = "1970-01-01"
checkTypePromotion(DateTimeUtils.microsToDays(32400000000L, ZoneId.systemDefault),
enforceCorrectType(ISO8601Date, DateType))
}
test("Get compatible type") {
def checkDataType(t1: DataType, t2: DataType, expected: DataType): Unit = {
var actual = JsonInferSchema.compatibleType(t1, t2)
assert(actual == expected,
s"Expected $expected as the most general data type for $t1 and $t2, found $actual")
actual = JsonInferSchema.compatibleType(t2, t1)
assert(actual == expected,
s"Expected $expected as the most general data type for $t1 and $t2, found $actual")
}
// NullType
checkDataType(NullType, BooleanType, BooleanType)
checkDataType(NullType, IntegerType, IntegerType)
checkDataType(NullType, LongType, LongType)
checkDataType(NullType, DoubleType, DoubleType)
checkDataType(NullType, DecimalType.SYSTEM_DEFAULT, DecimalType.SYSTEM_DEFAULT)
checkDataType(NullType, StringType, StringType)
checkDataType(NullType, ArrayType(IntegerType), ArrayType(IntegerType))
checkDataType(NullType, StructType(Nil), StructType(Nil))
checkDataType(NullType, NullType, NullType)
// BooleanType
checkDataType(BooleanType, BooleanType, BooleanType)
checkDataType(BooleanType, IntegerType, StringType)
checkDataType(BooleanType, LongType, StringType)
checkDataType(BooleanType, DoubleType, StringType)
checkDataType(BooleanType, DecimalType.SYSTEM_DEFAULT, StringType)
checkDataType(BooleanType, StringType, StringType)
checkDataType(BooleanType, ArrayType(IntegerType), StringType)
checkDataType(BooleanType, StructType(Nil), StringType)
// IntegerType
checkDataType(IntegerType, IntegerType, IntegerType)
checkDataType(IntegerType, LongType, LongType)
checkDataType(IntegerType, DoubleType, DoubleType)
checkDataType(IntegerType, DecimalType.SYSTEM_DEFAULT, DecimalType.SYSTEM_DEFAULT)
checkDataType(IntegerType, StringType, StringType)
checkDataType(IntegerType, ArrayType(IntegerType), StringType)
checkDataType(IntegerType, StructType(Nil), StringType)
// LongType
checkDataType(LongType, LongType, LongType)
checkDataType(LongType, DoubleType, DoubleType)
checkDataType(LongType, DecimalType.SYSTEM_DEFAULT, DecimalType.SYSTEM_DEFAULT)
checkDataType(LongType, StringType, StringType)
checkDataType(LongType, ArrayType(IntegerType), StringType)
checkDataType(LongType, StructType(Nil), StringType)
// DoubleType
checkDataType(DoubleType, DoubleType, DoubleType)
checkDataType(DoubleType, DecimalType.SYSTEM_DEFAULT, DoubleType)
checkDataType(DoubleType, StringType, StringType)
checkDataType(DoubleType, ArrayType(IntegerType), StringType)
checkDataType(DoubleType, StructType(Nil), StringType)
// DecimalType
checkDataType(DecimalType.SYSTEM_DEFAULT, DecimalType.SYSTEM_DEFAULT,
DecimalType.SYSTEM_DEFAULT)
checkDataType(DecimalType.SYSTEM_DEFAULT, StringType, StringType)
checkDataType(DecimalType.SYSTEM_DEFAULT, ArrayType(IntegerType), StringType)
checkDataType(DecimalType.SYSTEM_DEFAULT, StructType(Nil), StringType)
// StringType
checkDataType(StringType, StringType, StringType)
checkDataType(StringType, ArrayType(IntegerType), StringType)
checkDataType(StringType, StructType(Nil), StringType)
// ArrayType
checkDataType(ArrayType(IntegerType), ArrayType(IntegerType), ArrayType(IntegerType))
checkDataType(ArrayType(IntegerType), ArrayType(LongType), ArrayType(LongType))
checkDataType(ArrayType(IntegerType), ArrayType(StringType), ArrayType(StringType))
checkDataType(ArrayType(IntegerType), StructType(Nil), StringType)
checkDataType(
ArrayType(IntegerType, true), ArrayType(IntegerType), ArrayType(IntegerType, true))
checkDataType(
ArrayType(IntegerType, true), ArrayType(IntegerType, false), ArrayType(IntegerType, true))
checkDataType(
ArrayType(IntegerType, true), ArrayType(IntegerType, true), ArrayType(IntegerType, true))
checkDataType(
ArrayType(IntegerType, false), ArrayType(IntegerType), ArrayType(IntegerType, true))
checkDataType(
ArrayType(IntegerType, false), ArrayType(IntegerType, false), ArrayType(IntegerType, false))
checkDataType(
ArrayType(IntegerType, false), ArrayType(IntegerType, true), ArrayType(IntegerType, true))
// StructType
checkDataType(StructType(Nil), StructType(Nil), StructType(Nil))
checkDataType(
StructType(StructField("f1", IntegerType, true) :: Nil),
StructType(StructField("f1", IntegerType, true) :: Nil),
StructType(StructField("f1", IntegerType, true) :: Nil))
checkDataType(
StructType(StructField("f1", IntegerType, true) :: Nil),
StructType(Nil),
StructType(StructField("f1", IntegerType, true) :: Nil))
checkDataType(
StructType(
StructField("f1", IntegerType, true) ::
StructField("f2", IntegerType, true) :: Nil),
StructType(StructField("f1", LongType, true) :: Nil),
StructType(
StructField("f1", LongType, true) ::
StructField("f2", IntegerType, true) :: Nil))
checkDataType(
StructType(
StructField("f1", IntegerType, true) :: Nil),
StructType(
StructField("f2", IntegerType, true) :: Nil),
StructType(
StructField("f1", IntegerType, true) ::
StructField("f2", IntegerType, true) :: Nil))
checkDataType(
StructType(
StructField("f1", IntegerType, true) :: Nil),
DecimalType.SYSTEM_DEFAULT,
StringType)
}
test("Complex field and type inferring with null in sampling") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(jsonNullStruct)
val expectedSchema = StructType(
StructField("headers", StructType(
StructField("Charset", StringType, true) ::
StructField("Host", StringType, true) :: Nil)
, true) ::
StructField("ip", StringType, true) ::
StructField("nullstr", StringType, true):: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select nullstr, headers.Host from jsonTable"),
Seq(Row("", "1.abc.com"), Row("", null), Row("", null), Row(null, null))
)
}
}
test("Primitive field and type inferring") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(primitiveFieldAndType)
val expectedSchema = StructType(
StructField("bigInteger", DecimalType(20, 0), true) ::
StructField("boolean", BooleanType, true) ::
StructField("double", DoubleType, true) ::
StructField("integer", LongType, true) ::
StructField("long", LongType, true) ::
StructField("null", StringType, true) ::
StructField("string", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row(new java.math.BigDecimal("92233720368547758070"),
true,
1.7976931348623157,
10,
21474836470L,
null,
"this is a simple string.")
)
}
}
test("Complex field and type inferring") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(complexFieldAndType1)
val expectedSchema = StructType(
StructField("arrayOfArray1", ArrayType(ArrayType(StringType, true), true), true) ::
StructField("arrayOfArray2", ArrayType(ArrayType(DoubleType, true), true), true) ::
StructField("arrayOfBigInteger", ArrayType(DecimalType(21, 0), true), true) ::
StructField("arrayOfBoolean", ArrayType(BooleanType, true), true) ::
StructField("arrayOfDouble", ArrayType(DoubleType, true), true) ::
StructField("arrayOfInteger", ArrayType(LongType, true), true) ::
StructField("arrayOfLong", ArrayType(LongType, true), true) ::
StructField("arrayOfNull", ArrayType(StringType, true), true) ::
StructField("arrayOfString", ArrayType(StringType, true), true) ::
StructField("arrayOfStruct", ArrayType(
StructType(
StructField("field1", BooleanType, true) ::
StructField("field2", StringType, true) ::
StructField("field3", StringType, true) :: Nil), true), true) ::
StructField("struct", StructType(
StructField("field1", BooleanType, true) ::
StructField("field2", DecimalType(20, 0), true) :: Nil), true) ::
StructField("structWithArrayFields", StructType(
StructField("field1", ArrayType(LongType, true), true) ::
StructField("field2", ArrayType(StringType, true), true) :: Nil), true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
// Access elements of a primitive array.
checkAnswer(
sql("select arrayOfString[0], arrayOfString[1], arrayOfString[2] from jsonTable"),
Row("str1", "str2", null)
)
// Access an array of null values.
checkAnswer(
sql("select arrayOfNull from jsonTable"),
Row(Seq(null, null, null, null))
)
// Access elements of a BigInteger array (we use DecimalType internally).
checkAnswer(
sql("select arrayOfBigInteger[0], arrayOfBigInteger[1], arrayOfBigInteger[2] from " +
"jsonTable"),
Row(new java.math.BigDecimal("922337203685477580700"),
new java.math.BigDecimal("-922337203685477580800"), null)
)
// Access elements of an array of arrays.
checkAnswer(
sql("select arrayOfArray1[0], arrayOfArray1[1] from jsonTable"),
Row(Seq("1", "2", "3"), Seq("str1", "str2"))
)
// Access elements of an array of arrays.
checkAnswer(
sql("select arrayOfArray2[0], arrayOfArray2[1] from jsonTable"),
Row(Seq(1.0, 2.0, 3.0), Seq(1.1, 2.1, 3.1))
)
// Access elements of an array inside a filed with the type of ArrayType(ArrayType).
checkAnswer(
sql("select arrayOfArray1[1][1], arrayOfArray2[1][1] from jsonTable"),
Row("str2", 2.1)
)
// Access elements of an array of structs.
checkAnswer(
sql("select arrayOfStruct[0], arrayOfStruct[1], arrayOfStruct[2], arrayOfStruct[3] " +
"from jsonTable"),
Row(
Row(true, "str1", null),
Row(false, null, null),
Row(null, null, null),
null)
)
// Access a struct and fields inside of it.
checkAnswer(
sql("select struct, struct.field1, struct.field2 from jsonTable"),
Row(
Row(true, new java.math.BigDecimal("92233720368547758070")),
true,
new java.math.BigDecimal("92233720368547758070")) :: Nil
)
// Access an array field of a struct.
checkAnswer(
sql("select structWithArrayFields.field1, structWithArrayFields.field2 from jsonTable"),
Row(Seq(4, 5, 6), Seq("str1", "str2"))
)
// Access elements of an array field of a struct.
checkAnswer(
sql("select structWithArrayFields.field1[1], structWithArrayFields.field2[3] from " +
"jsonTable"),
Row(5, null)
)
}
}
test("GetField operation on complex data type") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(complexFieldAndType1)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select arrayOfStruct[0].field1, arrayOfStruct[0].field2 from jsonTable"),
Row(true, "str1")
)
// Getting all values of a specific field from an array of structs.
checkAnswer(
sql("select arrayOfStruct.field1, arrayOfStruct.field2 from jsonTable"),
Row(Seq(true, false, null), Seq("str1", null, null))
)
}
}
test("Type conflict in primitive field values") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(primitiveFieldValueTypeConflict)
val expectedSchema = StructType(
StructField("num_bool", StringType, true) ::
StructField("num_num_1", LongType, true) ::
StructField("num_num_2", DoubleType, true) ::
StructField("num_num_3", DoubleType, true) ::
StructField("num_str", StringType, true) ::
StructField("str_bool", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row("true", 11L, null, 1.1, "13.1", "str1") ::
Row("12", null, 21474836470.9, null, null, "true") ::
Row("false", 21474836470L, 92233720368547758070d, 100, "str1", "false") ::
Row(null, 21474836570L, 1.1, 21474836470L, "92233720368547758070", null) :: Nil
)
// Number and Boolean conflict: resolve the type as number in this query.
checkAnswer(
sql("select num_bool - 10 from jsonTable where num_bool > 11"),
Row(2)
)
// Widening to LongType
checkAnswer(
sql("select num_num_1 - 100 from jsonTable where num_num_1 > 11"),
Row(21474836370L) :: Row(21474836470L) :: Nil
)
checkAnswer(
sql("select num_num_1 - 100 from jsonTable where num_num_1 > 10"),
Row(-89) :: Row(21474836370L) :: Row(21474836470L) :: Nil
)
// Widening to DecimalType
checkAnswer(
sql("select num_num_2 + 1.3 from jsonTable where num_num_2 > 1.1"),
Row(21474836472.2) ::
Row(92233720368547758071.3) :: Nil
)
// Widening to Double
checkAnswer(
sql("select num_num_3 + 1.2 from jsonTable where num_num_3 > 1.1"),
Row(101.2) :: Row(21474836471.2) :: Nil
)
// Number and String conflict: resolve the type as number in this query.
checkAnswer(
sql("select num_str + 1.2 from jsonTable where num_str > 14d"),
Row(92233720368547758071.2)
)
// Number and String conflict: resolve the type as number in this query.
checkAnswer(
sql("select num_str + 1.2 from jsonTable where num_str >= 92233720368547758060"),
Row(new java.math.BigDecimal("92233720368547758071.2").doubleValue)
)
// String and Boolean conflict: resolve the type as string.
checkAnswer(
sql("select * from jsonTable where str_bool = 'str1'"),
Row("true", 11L, null, 1.1, "13.1", "str1")
)
}
}
test("Type conflict in complex field values") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(complexFieldValueTypeConflict)
val expectedSchema = StructType(
StructField("array", ArrayType(LongType, true), true) ::
StructField("num_struct", StringType, true) ::
StructField("str_array", StringType, true) ::
StructField("struct", StructType(
StructField("field", StringType, true) :: Nil), true) ::
StructField("struct_array", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row(Seq(), "11", "[1,2,3]", Row(null), "[]") ::
Row(null, """{"field":false}""", null, null, "{}") ::
Row(Seq(4, 5, 6), null, "str", Row(null), "[7,8,9]") ::
Row(Seq(7), "{}", """["str1","str2",33]""", Row("str"), """{"field":true}""") :: Nil
)
}
}
test("Type conflict in array elements") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(arrayElementTypeConflict)
val expectedSchema = StructType(
StructField("array1", ArrayType(StringType, true), true) ::
StructField("array2", ArrayType(StructType(
StructField("field", LongType, true) :: Nil), true), true) ::
StructField("array3", ArrayType(StringType, true), true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row(Seq("1", "1.1", "true", null, "[]", "{}", "[2,3,4]",
"""{"field":"str"}"""), Seq(Row(214748364700L), Row(1)), null) ::
Row(null, null, Seq("""{"field":"str"}""", """{"field":1}""")) ::
Row(null, null, Seq("1", "2", "3")) :: Nil
)
// Treat an element as a number.
checkAnswer(
sql("select array1[0] + 1 from jsonTable where array1 is not null"),
Row(2)
)
}
}
test("Handling missing fields") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(missingFields)
val expectedSchema = StructType(
StructField("a", BooleanType, true) ::
StructField("b", LongType, true) ::
StructField("c", ArrayType(LongType, true), true) ::
StructField("d", StructType(
StructField("field", BooleanType, true) :: Nil), true) ::
StructField("e", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
}
}
test("Loading a JSON dataset from a text file") {
withTempView("jsonTable") {
val dir = Utils.createTempDir()
dir.delete()
val path = dir.getCanonicalPath
primitiveFieldAndType.map(record => record.replaceAll("\n", " ")).write.text(path)
val jsonDF = spark.read.json(path)
val expectedSchema = StructType(
StructField("bigInteger", DecimalType(20, 0), true) ::
StructField("boolean", BooleanType, true) ::
StructField("double", DoubleType, true) ::
StructField("integer", LongType, true) ::
StructField("long", LongType, true) ::
StructField("null", StringType, true) ::
StructField("string", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row(new java.math.BigDecimal("92233720368547758070"),
true,
1.7976931348623157,
10,
21474836470L,
null,
"this is a simple string.")
)
}
}
test("Loading a JSON dataset primitivesAsString returns schema with primitive types as strings") {
withTempView("jsonTable") {
val dir = Utils.createTempDir()
dir.delete()
val path = dir.getCanonicalPath
primitiveFieldAndType.map(record => record.replaceAll("\n", " ")).write.text(path)
val jsonDF = spark.read.option("primitivesAsString", "true").json(path)
val expectedSchema = StructType(
StructField("bigInteger", StringType, true) ::
StructField("boolean", StringType, true) ::
StructField("double", StringType, true) ::
StructField("integer", StringType, true) ::
StructField("long", StringType, true) ::
StructField("null", StringType, true) ::
StructField("string", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row("92233720368547758070",
"true",
"1.7976931348623157",
"10",
"21474836470",
null,
"this is a simple string.")
)
}
}
test("Loading a JSON dataset primitivesAsString returns complex fields as strings") {
withTempView("jsonTable") {
val jsonDF = spark.read.option("primitivesAsString", "true").json(complexFieldAndType1)
val expectedSchema = StructType(
StructField("arrayOfArray1", ArrayType(ArrayType(StringType, true), true), true) ::
StructField("arrayOfArray2", ArrayType(ArrayType(StringType, true), true), true) ::
StructField("arrayOfBigInteger", ArrayType(StringType, true), true) ::
StructField("arrayOfBoolean", ArrayType(StringType, true), true) ::
StructField("arrayOfDouble", ArrayType(StringType, true), true) ::
StructField("arrayOfInteger", ArrayType(StringType, true), true) ::
StructField("arrayOfLong", ArrayType(StringType, true), true) ::
StructField("arrayOfNull", ArrayType(StringType, true), true) ::
StructField("arrayOfString", ArrayType(StringType, true), true) ::
StructField("arrayOfStruct", ArrayType(
StructType(
StructField("field1", StringType, true) ::
StructField("field2", StringType, true) ::
StructField("field3", StringType, true) :: Nil), true), true) ::
StructField("struct", StructType(
StructField("field1", StringType, true) ::
StructField("field2", StringType, true) :: Nil), true) ::
StructField("structWithArrayFields", StructType(
StructField("field1", ArrayType(StringType, true), true) ::
StructField("field2", ArrayType(StringType, true), true) :: Nil), true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
// Access elements of a primitive array.
checkAnswer(
sql("select arrayOfString[0], arrayOfString[1], arrayOfString[2] from jsonTable"),
Row("str1", "str2", null)
)
// Access an array of null values.
checkAnswer(
sql("select arrayOfNull from jsonTable"),
Row(Seq(null, null, null, null))
)
// Access elements of a BigInteger array (we use DecimalType internally).
checkAnswer(
sql("select arrayOfBigInteger[0], arrayOfBigInteger[1], arrayOfBigInteger[2] from " +
"jsonTable"),
Row("922337203685477580700", "-922337203685477580800", null)
)
// Access elements of an array of arrays.
checkAnswer(
sql("select arrayOfArray1[0], arrayOfArray1[1] from jsonTable"),
Row(Seq("1", "2", "3"), Seq("str1", "str2"))
)
// Access elements of an array of arrays.
checkAnswer(
sql("select arrayOfArray2[0], arrayOfArray2[1] from jsonTable"),
Row(Seq("1", "2", "3"), Seq("1.1", "2.1", "3.1"))
)
// Access elements of an array inside a filed with the type of ArrayType(ArrayType).
checkAnswer(
sql("select arrayOfArray1[1][1], arrayOfArray2[1][1] from jsonTable"),
Row("str2", "2.1")
)
// Access elements of an array of structs.
checkAnswer(
sql("select arrayOfStruct[0], arrayOfStruct[1], arrayOfStruct[2], arrayOfStruct[3] " +
"from jsonTable"),
Row(
Row("true", "str1", null),
Row("false", null, null),
Row(null, null, null),
null)
)
// Access a struct and fields inside of it.
checkAnswer(
sql("select struct, struct.field1, struct.field2 from jsonTable"),
Row(
Row("true", "92233720368547758070"),
"true",
"92233720368547758070") :: Nil
)
// Access an array field of a struct.
checkAnswer(
sql("select structWithArrayFields.field1, structWithArrayFields.field2 from jsonTable"),
Row(Seq("4", "5", "6"), Seq("str1", "str2"))
)
// Access elements of an array field of a struct.
checkAnswer(
sql("select structWithArrayFields.field1[1], structWithArrayFields.field2[3] from " +
"jsonTable"),
Row("5", null)
)
}
}
test("Loading a JSON dataset prefersDecimal returns schema with float types as BigDecimal") {
withTempView("jsonTable") {
val jsonDF = spark.read.option("prefersDecimal", "true").json(primitiveFieldAndType)
val expectedSchema = StructType(
StructField("bigInteger", DecimalType(20, 0), true) ::
StructField("boolean", BooleanType, true) ::
StructField("double", DecimalType(17, 16), true) ::
StructField("integer", LongType, true) ::
StructField("long", LongType, true) ::
StructField("null", StringType, true) ::
StructField("string", StringType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select * from jsonTable"),
Row(BigDecimal("92233720368547758070"),
true,
BigDecimal("1.7976931348623157"),
10,
21474836470L,
null,
"this is a simple string.")
)
}
}
test("Find compatible types even if inferred DecimalType is not capable of other IntegralType") {
val mixedIntegerAndDoubleRecords = Seq(
"""{"a": 3, "b": 1.1}""",
s"""{"a": 3.1, "b": 0.${"0" * 38}1}""").toDS()
val jsonDF = spark.read
.option("prefersDecimal", "true")
.json(mixedIntegerAndDoubleRecords)
// The values in `a` field will be decimals as they fit in decimal. For `b` field,
// they will be doubles as `1.0E-39D` does not fit.
val expectedSchema = StructType(
StructField("a", DecimalType(21, 1), true) ::
StructField("b", DoubleType, true) :: Nil)
assert(expectedSchema === jsonDF.schema)
checkAnswer(
jsonDF,
Row(BigDecimal("3"), 1.1D) ::
Row(BigDecimal("3.1"), 1.0E-39D) :: Nil
)
}
test("Infer big integers correctly even when it does not fit in decimal") {
val jsonDF = spark.read
.json(bigIntegerRecords)
// The value in `a` field will be a double as it does not fit in decimal. For `b` field,
// it will be a decimal as `92233720368547758070`.
val expectedSchema = StructType(
StructField("a", DoubleType, true) ::
StructField("b", DecimalType(20, 0), true) :: Nil)
assert(expectedSchema === jsonDF.schema)
checkAnswer(jsonDF, Row(1.0E38D, BigDecimal("92233720368547758070")))
}
test("Infer floating-point values correctly even when it does not fit in decimal") {
val jsonDF = spark.read
.option("prefersDecimal", "true")
.json(floatingValueRecords)
// The value in `a` field will be a double as it does not fit in decimal. For `b` field,
// it will be a decimal as `0.01` by having a precision equal to the scale.
val expectedSchema = StructType(
StructField("a", DoubleType, true) ::
StructField("b", DecimalType(2, 2), true):: Nil)
assert(expectedSchema === jsonDF.schema)
checkAnswer(jsonDF, Row(1.0E-39D, BigDecimal("0.01")))
val mergedJsonDF = spark.read
.option("prefersDecimal", "true")
.json(floatingValueRecords.union(bigIntegerRecords))
val expectedMergedSchema = StructType(
StructField("a", DoubleType, true) ::
StructField("b", DecimalType(22, 2), true):: Nil)
assert(expectedMergedSchema === mergedJsonDF.schema)
checkAnswer(
mergedJsonDF,
Row(1.0E-39D, BigDecimal("0.01")) ::
Row(1.0E38D, BigDecimal("92233720368547758070")) :: Nil
)
}
test("Loading a JSON dataset from a text file with SQL") {
val dir = Utils.createTempDir()
dir.delete()
val path = dir.toURI.toString
primitiveFieldAndType.map(record => record.replaceAll("\n", " ")).write.text(path)
sql(
s"""
|CREATE TEMPORARY VIEW jsonTableSQL
|USING org.apache.spark.sql.json
|OPTIONS (
| path '$path'
|)
""".stripMargin)
checkAnswer(
sql("select * from jsonTableSQL"),
Row(new java.math.BigDecimal("92233720368547758070"),
true,
1.7976931348623157,
10,
21474836470L,
null,
"this is a simple string.")
)
}
test("Applying schemas") {
withTempView("jsonTable1", "jsonTable2") {
val dir = Utils.createTempDir()
dir.delete()
val path = dir.getCanonicalPath
primitiveFieldAndType.map(record => record.replaceAll("\n", " ")).write.text(path)
val schema = StructType(
StructField("bigInteger", DecimalType.SYSTEM_DEFAULT, true) ::
StructField("boolean", BooleanType, true) ::
StructField("double", DoubleType, true) ::
StructField("integer", IntegerType, true) ::
StructField("long", LongType, true) ::
StructField("null", StringType, true) ::
StructField("string", StringType, true) :: Nil)
val jsonDF1 = spark.read.schema(schema).json(path)
assert(schema === jsonDF1.schema)
jsonDF1.createOrReplaceTempView("jsonTable1")
checkAnswer(
sql("select * from jsonTable1"),
Row(new java.math.BigDecimal("92233720368547758070"),
true,
1.7976931348623157,
10,
21474836470L,
null,
"this is a simple string.")
)
val jsonDF2 = spark.read.schema(schema).json(primitiveFieldAndType)
assert(schema === jsonDF2.schema)
jsonDF2.createOrReplaceTempView("jsonTable2")
checkAnswer(
sql("select * from jsonTable2"),
Row(new java.math.BigDecimal("92233720368547758070"),
true,
1.7976931348623157,
10,
21474836470L,
null,
"this is a simple string.")
)
}
}
test("Applying schemas with MapType") {
withTempView("jsonWithSimpleMap", "jsonWithComplexMap") {
val schemaWithSimpleMap = StructType(
StructField("map", MapType(StringType, IntegerType, true), false) :: Nil)
val jsonWithSimpleMap = spark.read.schema(schemaWithSimpleMap).json(mapType1)
jsonWithSimpleMap.createOrReplaceTempView("jsonWithSimpleMap")
checkAnswer(
sql("select `map` from jsonWithSimpleMap"),
Row(Map("a" -> 1)) ::
Row(Map("b" -> 2)) ::
Row(Map("c" -> 3)) ::
Row(Map("c" -> 1, "d" -> 4)) ::
Row(Map("e" -> null)) :: Nil
)
withSQLConf(SQLConf.SUPPORT_QUOTED_REGEX_COLUMN_NAME.key -> "false") {
checkAnswer(
sql("select `map`['c'] from jsonWithSimpleMap"),
Row(null) ::
Row(null) ::
Row(3) ::
Row(1) ::
Row(null) :: Nil
)
}
val innerStruct = StructType(
StructField("field1", ArrayType(IntegerType, true), true) ::
StructField("field2", IntegerType, true) :: Nil)
val schemaWithComplexMap = StructType(
StructField("map", MapType(StringType, innerStruct, true), false) :: Nil)
val jsonWithComplexMap = spark.read.schema(schemaWithComplexMap).json(mapType2)
jsonWithComplexMap.createOrReplaceTempView("jsonWithComplexMap")
checkAnswer(
sql("select `map` from jsonWithComplexMap"),
Row(Map("a" -> Row(Seq(1, 2, 3, null), null))) ::
Row(Map("b" -> Row(null, 2))) ::
Row(Map("c" -> Row(Seq(), 4))) ::
Row(Map("c" -> Row(null, 3), "d" -> Row(Seq(null), null))) ::
Row(Map("e" -> null)) ::
Row(Map("f" -> Row(null, null))) :: Nil
)
withSQLConf(SQLConf.SUPPORT_QUOTED_REGEX_COLUMN_NAME.key -> "false") {
checkAnswer(
sql("select `map`['a'].field1, `map`['c'].field2 from jsonWithComplexMap"),
Row(Seq(1, 2, 3, null), null) ::
Row(null, null) ::
Row(null, 4) ::
Row(null, 3) ::
Row(null, null) ::
Row(null, null) :: Nil
)
}
}
}
test("SPARK-2096 Correctly parse dot notations") {
withTempView("jsonTable") {
val jsonDF = spark.read.json(complexFieldAndType2)
jsonDF.createOrReplaceTempView("jsonTable")
checkAnswer(
sql("select arrayOfStruct[0].field1, arrayOfStruct[0].field2 from jsonTable"),
Row(true, "str1")
)
checkAnswer(
sql(
"""
|select complexArrayOfStruct[0].field1[1].inner2[0],
|complexArrayOfStruct[1].field2[0][1]
|from jsonTable