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/*
* 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
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import Octeres.DataUDF.{LiteBitmaskSchema, intersection_any, intersection_any_v0, intersection_any_v1, liteBitmaskStructToRow, logical_or, validateLiteBitmaskSlotsLike}
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import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.{Encoders, Row, SparkSession}
import org.scalatest.funsuite.AnyFunSuite
import org.scalatest.prop.TableDrivenPropertyChecks._
import org.scalatest.matchers.should.Matchers._
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object ExampleUDF {
// very simple UDF function as an example.
case class SimpleAddStruct(a: Int, b: Int)
val SimpleAddSchema: StructType = Encoders.product[SimpleAddStruct].schema
def simpleAdd(a: Int, b: Int): Int = a + b
}
class DataUDFTest extends AnyFunSuite {
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test("test_add") {
val result = ExampleUDF.simpleAdd(1, 2)
assert(result == 3)
}
test("test_simple") {
val sparkSession = SparkSession.builder().appName("DataUDFTest").master("local").getOrCreate()
import sparkSession.implicits._
val deck = Seq(
Row(1, 2),
)
var df = sparkSession.createDataFrame(sparkSession.sparkContext.parallelize(deck), schema = ExampleUDF.SimpleAddSchema)
sparkSession.udf.register("SimpleAdd", ExampleUDF.simpleAdd(_: Int, _: Int), IntegerType)
df = df.withColumn("c", expr("SimpleAdd(a, b)"))
df.show()
}
test("test_logical_or_00") {
println("test_logical_or_00")
val bitmask_length = 8
val a_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, List(List(0, 2)), 0, 2), LiteBitmaskSchema)
val b_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, List(List(1, 3)), 1, 3), LiteBitmaskSchema)
println(s"a_bitmask=${a_bitmask}")
println(s"b_bitmask=${b_bitmask}")
println(DataUDF.logical_or(a_bitmask, b_bitmask))
println(DataUDF.logical_or(null, b_bitmask))
println(DataUDF.logical_or(a_bitmask, null))
}
test("test_logical_or_01") {
println("test_logical_or_01")
val bitmask_length = 8
val a_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, List(List(0, 2)), 0, 2), LiteBitmaskSchema)
val b_bitmask = new GenericRowWithSchema(Array(bitmask_length, 0, List(), -1, -1), LiteBitmaskSchema)
println(s"a_bitmask=${a_bitmask}")
println(s"b_bitmask=${b_bitmask}")
println(DataUDF.logical_or(a_bitmask, b_bitmask))
println(DataUDF.logical_or(null, b_bitmask))
println(DataUDF.logical_or(a_bitmask, null))
println(DataUDF.logical_or(null, null))
println(DataUDF.logical_or(a_bitmask, a_bitmask))
println(DataUDF.logical_or(b_bitmask, b_bitmask))
}
test("test_bitmask") {
println("test_bitmask")
val bitmask_length = 8
// val a_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, Array(Array(0, 2)), 0, 2), LiteBitmaskSchema)
// val b_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, Array(Array(1, 3)), 1, 3), LiteBitmaskSchema)
val a_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, List(List(0, 2)), 0, 2), LiteBitmaskSchema)
val b_bitmask = new GenericRowWithSchema(Array(bitmask_length, 3, List(List(1, 3)), 1, 3), LiteBitmaskSchema)
val c_bitmask = new GenericRowWithSchema(Array(bitmask_length, 5, List(List(0, 4)), 0, 4), LiteBitmaskSchema)
val d_bitmask = new GenericRowWithSchema(Array(bitmask_length, 0, List(), -1, -1), LiteBitmaskSchema)
val e_bitmask = new GenericRowWithSchema(Array(bitmask_length, 6, List(List(0, 5)), 0, 5), LiteBitmaskSchema)
val schema = StructType(List(
StructField("a", IntegerType, nullable = true),
StructField("b", IntegerType, nullable = true),
StructField("bitmask", LiteBitmaskSchema, nullable = true)
))
val deck = Seq(
Row(0, 1, null),
Row(1, 2, a_bitmask),
Row(2, 4, b_bitmask),
Row(3, 8, c_bitmask),
Row(4, 16, d_bitmask),
Row(5, 32, e_bitmask),
)
val sparkSession = SparkSession.builder().appName("DataUDFTest").master("local").getOrCreate()
val df = sparkSession.createDataFrame(sparkSession.sparkContext.parallelize(deck), schema = schema)
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DataUDF.registerAll(sparkSession)
df.createOrReplaceTempView("temp_view_a")
df.createOrReplaceTempView("temp_view_b")
df.show(32, truncate=false)
sparkSession.sql("select bitmask.intervals from temp_view_a").show(32, truncate=false)
var df2 = sparkSession.sql("Select * from temp_view_a")
// https://spark.apache.org/docs/latest/sql-ref-datatypes.html
df2.show(32, truncate=false)
df2 = df2.withColumn("r_bitmask", expr("logical_or(bitmask, bitmask)"))
df2.show(32, truncate=false)
var df3 = sparkSession.sql("select tva.a, tva.b, " +
"tva.bitmask as a_bitmask, " +
"tvb.bitmask as b_bitmask, " +
"logical_or(tva.bitmask, tvb.bitmask) as c_bitmask " +
// "intersection_any(tva.bitmask, tvb.bitmask) " +
"from temp_view_a tva join temp_view_b tvb"
)
// BROKEN |2 |4 |{8, 3, [[1, 3]], 1, 3}|{8, 6, [[0, 5]], 0, 5}|{8, 0, [], -1, -1} |
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df3.show(32, truncate=false)
df3.printSchema()
}
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test("test_bitmask_logical_or") {
val bitmaskTable = Table(
("bitmask0", "bitmask1", "bitmask_or"),
(
DataUDF.getLiteBitmaskRow(8, 3, List(List(0, 2)), 0, 2),
DataUDF.getLiteBitmaskRow(8, 3, List(List(1, 3)), 1, 3),
DataUDF.getLiteBitmaskRow(8, 4, List(List(0, 3)), 0, 3)
), (
DataUDF.getLiteBitmaskRow(8, 5, List(List(0, 4)), 0, 4),
DataUDF.getLiteBitmaskRow(8, 0, List(), -1, -1),
DataUDF.getLiteBitmaskRow(8, 5, List(List(0, 4)), 0, 4)
), (
DataUDF.getLiteBitmaskRow(16, 0, List(), -1, -1),
DataUDF.getLiteBitmaskRow(16, 0, List(), -1, -1),
DataUDF.getLiteBitmaskRow(16, 0, List(), -1, -1)
), (
DataUDF.getLiteBitmaskRow(8, 4, List(List(0, 1), List(3, 4)), 0, 4),
DataUDF.getLiteBitmaskRow(8, 2, List(List(1, 2)), 1, 2),
DataUDF.getLiteBitmaskRow(8, 5, List(List(0, 4)), 0, 4)
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// ), ( // this will be a problem 8 is the max.
// DataUDF.getLiteBitmaskRow(8, 4, List(List(1, 2), List(5, 6)), 1, 6),
// DataUDF.getLiteBitmaskRow(8, 4, List(List(3, 4), List(7, 8)), 3, 4),
// DataUDF.getLiteBitmaskRow(8, 8, List(List(1, 8)), 1, 8)
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DataUDF.getLiteBitmaskRow(16, 4, List(List(1, 2), List(5, 6)), 1, 6),
DataUDF.getLiteBitmaskRow(16, 4, List(List(3, 4), List(7, 8)), 3, 8),
DataUDF.getLiteBitmaskRow(16, 8, List(List(1, 8)), 1, 8)
)
)
forAll(bitmaskTable) { (bitmask0, bitmask1, bitmask_or: Row) => {
println(s"bitmask0: ${bitmask0}")
println(s"bitmask1: ${bitmask1}")
println(s"bitmask_or: ${bitmask_or}")
validateLiteBitmaskSlotsLike(bitmask0)
validateLiteBitmaskSlotsLike(bitmask1)
validateLiteBitmaskSlotsLike(bitmask_or)
val bitmask_r = logical_or(bitmask0, bitmask1)
val bitmask_rr = liteBitmaskStructToRow(bitmask_r)
println(s"bitmask_rr: ${bitmask_rr}")
validateLiteBitmaskSlotsLike(bitmask_rr)
bitmask_rr should equal(bitmask_or)
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println(intersection_any(bitmask0, bitmask1))
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}
test("test_getIntervalBitsGenerator") {
val list_gen = DataUDF.getIntervalBitsGenerator(List(List(1, 2), List(4, 5)), 0, -2)
// println(list_gen.take(1))
// println(list_gen.take(3))
// println(list_gen.take(20))
val bitmaskTable = Table(
("intervals", "bit_idx_first", "bit_idx_last"),
(List(List(1, 2), List(4, 5)), 0, -1),
(List(List(2, 4), List(8, 10)), 4, 9),
(List(List(1, 2), List(5, 6)), 3, 6),
(List(List(3, 4), List(7, 8)), 3, 6)
)
forAll(bitmaskTable) { (intervals, bit_idx_first, bit_idx_last) => {
{
println(intervals)
val ii = new DataUDF.IntervalIterator(intervals, bit_idx_first, bit_idx_last)
ii.printState()
while (!ii.isEmpty) {
println(s"i: ${ii.get()}")
}
}
}}
}
test("test_bitmask_intersection_any") {
val bitmaskTable = Table(
("bitmask0", "bitmask1", "logical_truth"),
(
DataUDF.getLiteBitmaskRow(8, 3, List(List(0, 2)), 0, 2),
DataUDF.getLiteBitmaskRow(8, 3, List(List(1, 3)), 1, 3),
true
), (
DataUDF.getLiteBitmaskRow(8, 5, List(List(0, 4)), 0, 4),
DataUDF.getLiteBitmaskRow(8, 0, List(), -1, -1),
false
), (
DataUDF.getLiteBitmaskRow(16, 0, List(), -1, -1),
DataUDF.getLiteBitmaskRow(16, 0, List(), -1, -1),
false
), (
DataUDF.getLiteBitmaskRow(8, 4, List(List(0, 1), List(3, 4)), 0, 4),
DataUDF.getLiteBitmaskRow(8, 2, List(List(1, 2)), 1, 2),
true
), (
DataUDF.getLiteBitmaskRow(16, 4, List(List(1, 2), List(5, 6)), 1, 6),
DataUDF.getLiteBitmaskRow(16, 4, List(List(3, 4), List(7, 8)), 3, 8),
false
)
)
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forAll(bitmaskTable) { (bitmask0, bitmask1, logical_truth: Boolean) => {
println(s"bitmask0: ${bitmask0}")
println(s"bitmask1: ${bitmask1}")
validateLiteBitmaskSlotsLike(bitmask0)
validateLiteBitmaskSlotsLike(bitmask1)
val truth = intersection_any(bitmask0, bitmask1)
println(s"truth: ${truth}")
truth should equal(logical_truth)
intersection_any_v0(bitmask0, bitmask1) should equal(intersection_any_v1(bitmask0, bitmask1))
}
}