1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
|
/*
* 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.columnar
import org.apache.spark.SparkFunSuite
import org.apache.spark.sql.catalyst.expressions.Row
import org.apache.spark.sql.types._
class ColumnStatsSuite extends SparkFunSuite {
testColumnStats(classOf[ByteColumnStats], BYTE, Row(Byte.MaxValue, Byte.MinValue, 0))
testColumnStats(classOf[ShortColumnStats], SHORT, Row(Short.MaxValue, Short.MinValue, 0))
testColumnStats(classOf[IntColumnStats], INT, Row(Int.MaxValue, Int.MinValue, 0))
testColumnStats(classOf[LongColumnStats], LONG, Row(Long.MaxValue, Long.MinValue, 0))
testColumnStats(classOf[FloatColumnStats], FLOAT, Row(Float.MaxValue, Float.MinValue, 0))
testColumnStats(classOf[DoubleColumnStats], DOUBLE, Row(Double.MaxValue, Double.MinValue, 0))
testColumnStats(classOf[FixedDecimalColumnStats], FIXED_DECIMAL(15, 10), Row(null, null, 0))
testColumnStats(classOf[StringColumnStats], STRING, Row(null, null, 0))
testColumnStats(classOf[DateColumnStats], DATE, Row(Int.MaxValue, Int.MinValue, 0))
testColumnStats(classOf[TimestampColumnStats], TIMESTAMP, Row(null, null, 0))
def testColumnStats[T <: AtomicType, U <: ColumnStats](
columnStatsClass: Class[U],
columnType: NativeColumnType[T],
initialStatistics: Row): Unit = {
val columnStatsName = columnStatsClass.getSimpleName
test(s"$columnStatsName: empty") {
val columnStats = columnStatsClass.newInstance()
columnStats.collectedStatistics.toSeq.zip(initialStatistics.toSeq).foreach {
case (actual, expected) => assert(actual === expected)
}
}
test(s"$columnStatsName: non-empty") {
import ColumnarTestUtils._
val columnStats = columnStatsClass.newInstance()
val rows = Seq.fill(10)(makeRandomRow(columnType)) ++ Seq.fill(10)(makeNullRow(1))
rows.foreach(columnStats.gatherStats(_, 0))
val values = rows.take(10).map(_(0).asInstanceOf[T#InternalType])
val ordering = columnType.dataType.ordering.asInstanceOf[Ordering[T#InternalType]]
val stats = columnStats.collectedStatistics
assertResult(values.min(ordering), "Wrong lower bound")(stats(0))
assertResult(values.max(ordering), "Wrong upper bound")(stats(1))
assertResult(10, "Wrong null count")(stats(2))
assertResult(20, "Wrong row count")(stats(3))
assertResult(stats(4), "Wrong size in bytes") {
rows.map { row =>
if (row.isNullAt(0)) 4 else columnType.actualSize(row, 0)
}.sum
}
}
}
}
|
