Newer
Older
/*
* Copyright (C) 2024, UChicago Argonne, LLC
* Licensed under the 3-clause BSD license. See accompanying LICENSE.txt file
* in the top-level directory.
*/
package Octeres
Eric Pershey
committed
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql._
import org.apache.spark.sql.types._
import scala.collection.immutable.ArraySeq
import scala.collection.mutable.ListBuffer
Eric Pershey
committed
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
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
case class LiteBitmaskStruct(length: Int, bit_count: Int, intervals: List[List[Int]],
bit_idx_first: Int, bit_idx_last: Int)
val LiteBitmaskSchema: StructType = Encoders.product[LiteBitmaskStruct].schema
// val LiteBitmaskSchema: StructType = ScalaReflection.schemaFor[LiteBitmaskStruct].dataType.asInstanceOf[StructType]
val LiteBitmaskEncoder = Encoders.bean(LiteBitmaskStruct.getClass)
def getCombinedIntervalsUntilAllConsumed(alst: List[List[Int]], blst: List[List[Int]]): Seq[List[Int]] = {
var aidx = 0
var bidx = 0
val exit_list = List(-2, -2)
LazyList.continually {
val amin: Int = if (aidx < alst.length) alst(aidx)(0) else -2
val amax: Int = if (aidx < alst.length) alst(aidx)(1) else -2
val bmin: Int = if (bidx < blst.length) blst(bidx)(0) else -2
val bmax: Int = if (bidx < blst.length) blst(bidx)(1) else -2
(amin, bmin) match {
case (-2, -2) =>
exit_list
case (_, -2) =>
aidx += 1
List(amin, amax)
case (-2, _) =>
bidx += 1
List(bmin, bmax)
case (_, _) if (amin != -2 & amin <= bmin) =>
aidx += 1
List(amin, amax)
case _ =>
exit_list
}
}.takeWhile(_ != exit_list)
}
def intervals_or_v0(length: Int, abi: Row, bbi: Row): LiteBitmaskStruct = {
/* does a logical or of two bit intervals
* From Spark ([8,3,ArraySeq(ArraySeq(0, 2)),0,2],[8,3,ArraySeq(ArraySeq(0, 2)),0,2]) */
val bitmask_a = rowToLiteBitmaskStruct(abi)
val bitmask_b = rowToLiteBitmaskStruct(bbi)
val intervalGen: Seq[List[Int]] = getCombinedIntervalsUntilAllConsumed(
bitmask_a.intervals,
bitmask_b.intervals)
val intervals = ListBuffer.empty[List[Int]]
var bitCount = 0
var bitIdxFirst = -1
var bitIdxLast = -1
var prev_start = -1
var prev_end = -1
val itr = intervalGen.iterator
for (List(next_start, next_end) <- itr) {
(next_start, next_end) match {
case (-2, -2) => // case where there is nothing
bitCount = 0
bitIdxFirst = -1
bitIdxLast = -1
case _ if (prev_start == -1 & prev_end == -1) => // Initial variable, setting previous
prev_start = next_start
prev_end = next_end
intervals += List(prev_start, prev_end)
bitCount = prev_end - prev_start + 1
bitIdxFirst = intervals.head.head
bitIdxLast = intervals.last.last
case _ =>
if (next_start <= prev_end + 1) {
val new_end = Math.max(prev_end, next_end)
intervals(intervals.length - 1) = List(prev_start, new_end)
bitCount += new_end - prev_end
prev_end = new_end
} else {
intervals += List(next_start, next_end)
bitCount += next_end - next_start + 1
prev_start = next_start
prev_end = next_end
}
bitIdxFirst = intervals.head.head
bitIdxLast = intervals.last.last
}
}
LiteBitmaskStruct(length, bitCount, intervals.map(_.toList).toList, bitIdxFirst, bitIdxLast)
}
def rowToLiteBitmaskStruct(row: Row): LiteBitmaskStruct = {
/* convert a row to a LiteBitmaskStruct */
// might need this somehow: import sparkSession.implicits._
// row.asInstanceOf[LiteBitmaskStruct] // does not work
val bitmaskStruct: LiteBitmaskStruct = row match {
case Row(length: Int, bit_count: Int, intervals: List[List[Int]], bit_idx_first: Int, bit_idx_last: Int) =>
LiteBitmaskStruct(length, bit_count, intervals, bit_idx_first, bit_idx_last)
case Row(length: Int, bit_count: Int, intervals: ArraySeq[ArraySeq[Int]], bit_idx_first: Int, bit_idx_last: Int) =>
LiteBitmaskStruct(length, bit_count, intervals.toList.map(_.toList), bit_idx_first, bit_idx_last)
case _ =>
LiteBitmaskStruct(row.getInt(0), row.getInt(1), row.getAs[List[List[Int]]]("intervals"), row.getInt(3), row.getInt(4))
}
bitmaskStruct
}
val logical_or: (Row, Row) => LiteBitmaskStruct = (a_bitmask: Row, b_bitmask: Row) => (a_bitmask, b_bitmask) match {
case (null, null) => null
case (null, _) => rowToLiteBitmaskStruct(b_bitmask)
case (_, null) => rowToLiteBitmaskStruct(a_bitmask)
case (_, _) => intervals_or_v0(a_bitmask.getAs("length"), a_bitmask, b_bitmask)
}
def registerAll(sparkSession: SparkSession) {
sparkSession.udf.register("logical_or", logical_or(_: Row, _: Row), LiteBitmaskSchema)
}