8318306: java/util/Arrays/Sorting.java fails with "Array is not sorted at 8228-th position: 8251.0 and 8153.0"

Reviewed-by: thartmann, jbhateja
This commit is contained in:
vamsi-parasa 2023-10-24 18:31:33 +00:00 committed by Sandhya Viswanathan
parent 116503754c
commit 1f2a80b78a
2 changed files with 112 additions and 34 deletions

View file

@ -5367,8 +5367,6 @@ void LibraryCallKit::create_new_uncommon_trap(CallStaticJavaNode* uncommon_trap_
//------------------------------inline_array_partition----------------------- //------------------------------inline_array_partition-----------------------
bool LibraryCallKit::inline_array_partition() { bool LibraryCallKit::inline_array_partition() {
const char *stubName = "array_partition_stub";
Node* elementType = null_check(argument(0)); Node* elementType = null_check(argument(0));
Node* obj = argument(1); Node* obj = argument(1);
Node* offset = argument(2); Node* offset = argument(2);
@ -5377,6 +5375,13 @@ bool LibraryCallKit::inline_array_partition() {
Node* indexPivot1 = argument(6); Node* indexPivot1 = argument(6);
Node* indexPivot2 = argument(7); Node* indexPivot2 = argument(7);
Node* pivotIndices = nullptr;
// Set the original stack and the reexecute bit for the interpreter to reexecute
// the bytecode that invokes DualPivotQuicksort.partition() if deoptimization happens.
{ PreserveReexecuteState preexecs(this);
jvms()->set_should_reexecute(true);
const TypeInstPtr* elem_klass = gvn().type(elementType)->isa_instptr(); const TypeInstPtr* elem_klass = gvn().type(elementType)->isa_instptr();
ciType* elem_type = elem_klass->const_oop()->as_instance()->java_mirror_type(); ciType* elem_type = elem_klass->const_oop()->as_instance()->java_mirror_type();
BasicType bt = elem_type->basic_type(); BasicType bt = elem_type->basic_type();
@ -5396,7 +5401,7 @@ bool LibraryCallKit::inline_array_partition() {
// create the pivotIndices array of type int and size = 2 // create the pivotIndices array of type int and size = 2
Node* size = intcon(2); Node* size = intcon(2);
Node* klass_node = makecon(TypeKlassPtr::make(ciTypeArrayKlass::make(T_INT))); Node* klass_node = makecon(TypeKlassPtr::make(ciTypeArrayKlass::make(T_INT)));
Node* pivotIndices = new_array(klass_node, size, 0); // no arguments to push pivotIndices = new_array(klass_node, size, 0); // no arguments to push
AllocateArrayNode* alloc = tightly_coupled_allocation(pivotIndices); AllocateArrayNode* alloc = tightly_coupled_allocation(pivotIndices);
guarantee(alloc != nullptr, "created above"); guarantee(alloc != nullptr, "created above");
Node* pivotIndices_adr = basic_plus_adr(pivotIndices, arrayOopDesc::base_offset_in_bytes(T_INT)); Node* pivotIndices_adr = basic_plus_adr(pivotIndices, arrayOopDesc::base_offset_in_bytes(T_INT));
@ -5405,11 +5410,14 @@ bool LibraryCallKit::inline_array_partition() {
Node* elemType = intcon(bt); Node* elemType = intcon(bt);
// Call the stub // Call the stub
const char *stubName = "array_partition_stub";
make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_partition_Type(), make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_partition_Type(),
stubAddr, stubName, TypePtr::BOTTOM, stubAddr, stubName, TypePtr::BOTTOM,
obj_adr, elemType, fromIndex, toIndex, pivotIndices_adr, obj_adr, elemType, fromIndex, toIndex, pivotIndices_adr,
indexPivot1, indexPivot2); indexPivot1, indexPivot2);
} // original reexecute is set back here
if (!stopped()) { if (!stopped()) {
set_result(pivotIndices); set_result(pivotIndices);
} }
@ -5421,9 +5429,6 @@ bool LibraryCallKit::inline_array_partition() {
//------------------------------inline_array_sort----------------------- //------------------------------inline_array_sort-----------------------
bool LibraryCallKit::inline_array_sort() { bool LibraryCallKit::inline_array_sort() {
const char *stubName;
stubName = "arraysort_stub";
Node* elementType = null_check(argument(0)); Node* elementType = null_check(argument(0));
Node* obj = argument(1); Node* obj = argument(1);
Node* offset = argument(2); Node* offset = argument(2);
@ -5451,6 +5456,7 @@ bool LibraryCallKit::inline_array_sort() {
Node* elemType = intcon(bt); Node* elemType = intcon(bt);
// Call the stub. // Call the stub.
const char *stubName = "arraysort_stub";
make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_sort_Type(), make_runtime_call(RC_LEAF|RC_NO_FP, OptoRuntime::array_sort_Type(),
stubAddr, stubName, TypePtr::BOTTOM, stubAddr, stubName, TypePtr::BOTTOM,
obj_adr, elemType, fromIndex, toIndex); obj_adr, elemType, fromIndex, toIndex);

View file

@ -0,0 +1,72 @@
/*
* Copyright (c) 2023, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* @test
* @bug 8318306
* @run main/othervm/timeout=200 -XX:+IgnoreUnrecognizedVMOptions -Xcomp -ea -esa -XX:CompileThreshold=100 -XX:+UnlockExperimentalVMOptions -server -XX:-TieredCompilation -XX:+DeoptimizeALot SortingDeoptimizationTest 1e-2 100 50
* @summary Exercise Arrays.parallelSort when -XX:+DeoptimizeALot is enabled
*
*/
import java.io.PrintStream;
import java.util.Arrays;
import java.util.Random;
public class SortingDeoptimizationTest {
private static final PrintStream err = System.err;
private static final PrintStream out = System.out;
public static void main(String[] args) {
int MAX = 2147483647; // 2^32 - 1
float fraction = Float.parseFloat(args[0]);
int size = (int) (fraction * MAX); // size is a fraction of the MAX size
int iters = Integer.parseInt(args[1]); // number of iterations
int max = args.length > 2 ? Integer.parseInt(args[2]) : -1 ; // max value for the array elements
long seed = 0xC0FFEE;
Random rand = new Random(seed);
for (int i = 0; i < iters; i++) {
boolean isSorted = runSort(size, max, rand);
out.println("Iteration " + i + ": is sorted? -> "+ isSorted);
if (!isSorted) fail("Array is not correctly sorted.");
}
}
private static void fail(String message) {
err.format("\n*** TEST FAILED ***\n\n%s\n\n", message);
throw new RuntimeException("Test failed");
}
private static boolean runSort(int size, int max, Random rand) {
int[] a = new int[size];
for (int i = 0; i < a.length; i++) a[i] = max > 0 ? rand.nextInt(max) : rand.nextInt();
// call parallel sort
Arrays.parallelSort(a);
// check if sorted
boolean isSorted = true;
for (int i = 0; i < (a.length -1); i++) isSorted = isSorted && (a[i] <= a[i+1]);
return isSorted;
}
}