aboutsummaryrefslogtreecommitdiffstats
path: root/yql/essentials/minikql/comp_nodes/mkql_block_compress.cpp
blob: 16277608451a432b2bf43d5d56a5ef4512c0d181 (plain) (blame)
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
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
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
#include "mkql_block_compress.h"

#include <yql/essentials/minikql/computation/mkql_block_builder.h>
#include <yql/essentials/minikql/computation/mkql_block_impl.h>
#include <yql/essentials/minikql/computation/mkql_block_impl_codegen.h> // Y_IGNORE
#include <yql/essentials/minikql/arrow/arrow_util.h>
#include <yql/essentials/minikql/arrow/mkql_bit_utils.h>
#include <yql/essentials/minikql/mkql_type_builder.h>
#include <yql/essentials/minikql/computation/mkql_computation_node_holders.h>
#include <yql/essentials/minikql/computation/mkql_computation_node_codegen.h>  // Y_IGNORE
#include <yql/essentials/minikql/mkql_node_builder.h>
#include <yql/essentials/minikql/mkql_node_cast.h>

namespace NKikimr {
namespace NMiniKQL {

namespace {

class TCompressWithScalarBitmap : public TStatefulWideFlowCodegeneratorNode<TCompressWithScalarBitmap> {
using TBaseComputation = TStatefulWideFlowCodegeneratorNode<TCompressWithScalarBitmap>;
public:
    TCompressWithScalarBitmap(TComputationMutables& mutables, IComputationWideFlowNode* flow, ui32 bitmapIndex, ui32 width)
        : TBaseComputation(mutables, flow, EValueRepresentation::Embedded)
        , Flow_(flow)
        , BitmapIndex_(bitmapIndex)
        , Width_(width)
        , WideFieldsIndex_(mutables.IncrementWideFieldsIndex(Width_))
    {
    }

    EFetchResult DoCalculate(NUdf::TUnboxedValue& state, TComputationContext& ctx, NUdf::TUnboxedValue*const* output) const {
        if (state.IsFinish())
            return EFetchResult::Finish;

        const auto fields = ctx.WideFields.data() + WideFieldsIndex_;
        NUdf::TUnboxedValue bitmap;
        for (ui32 i = 0, outIndex = 0; i < Width_; ++i) {
            fields[i] = i == BitmapIndex_ ? &bitmap : output[outIndex++];
        }

        if (const auto result = Flow_->FetchValues(ctx, fields); EFetchResult::One != result)
            return result;

        const bool bitmapValue = GetBitmapScalarValue(bitmap) & 1;
        state = bitmapValue ? NUdf::TUnboxedValuePod() : NUdf::TUnboxedValuePod::MakeFinish();
        return bitmapValue ? EFetchResult::One : EFetchResult::Finish;
    }
#ifndef MKQL_DISABLE_CODEGEN
    ICodegeneratorInlineWideNode::TGenerateResult DoGenGetValues(const TCodegenContext& ctx, Value* statePtr, BasicBlock*& block) const {
        auto& context = ctx.Codegen.GetContext();

        const auto valueType = Type::getInt128Ty(context);
        const auto ptrValueType = PointerType::getUnqual(valueType);
        const auto statusType = Type::getInt32Ty(context);
        const auto bitmapType = Type::getInt8Ty(context);

        const auto name = "GetBitmapScalarValue";
        ctx.Codegen.AddGlobalMapping(name, reinterpret_cast<const void*>(&GetBitmapScalarValue));
        const auto getBitmapType = NYql::NCodegen::ETarget::Windows != ctx.Codegen.GetEffectiveTarget() ?
            FunctionType::get(bitmapType, { valueType }, false):
            FunctionType::get(bitmapType, { ptrValueType }, false);
        const auto getBitmap = ctx.Codegen.GetModule().getOrInsertFunction(name, getBitmapType);

        const auto work = BasicBlock::Create(context, "work", ctx.Func);
        const auto test = BasicBlock::Create(context, "test", ctx.Func);
        const auto over = BasicBlock::Create(context, "over", ctx.Func);

        const auto result = PHINode::Create(statusType, 3U, "result", over);
        result->addIncoming(ConstantInt::get(statusType, static_cast<i32>(EFetchResult::Finish)), block);

        BranchInst::Create(over, work, IsFinish(statePtr, block), block);

        block = work;

        const auto getres = GetNodeValues(Flow_, ctx, block);
        const auto special = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_SLE, getres.first, ConstantInt::get(getres.first->getType(), static_cast<i32>(EFetchResult::Yield)), "special", block);

        result->addIncoming(getres.first, block);

        BranchInst::Create(over, test, special, block);

        block = test;

        const auto bitmapValue = getres.second[BitmapIndex_](ctx, block);
        const auto bitmap = CallInst::Create(getBitmap, { WrapArgumentForWindows(bitmapValue, ctx, block) }, "bitmap", block);
        const auto one = ConstantInt::get(bitmapType, 1);
        const auto band = BinaryOperator::CreateAnd(bitmap, one, "band", block);
        const auto good = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_EQ, band, one, "good", block);

        const auto state = SelectInst::Create(good, GetEmpty(context), GetFinish(context), "state", block);
        new StoreInst(state, statePtr, block);

        const auto status = SelectInst::Create(good, ConstantInt::get(statusType, static_cast<i32>(EFetchResult::One)), ConstantInt::get(statusType, static_cast<i32>(EFetchResult::Finish)), "status", block);
        result->addIncoming(status, block);

        BranchInst::Create(over, block);

        block = over;

        ICodegeneratorInlineWideNode::TGettersList getters(getres.second.size() - 1U);
        for (ui32 i = 0, j = 0; i < getres.second.size(); ++i) {
            if (i != BitmapIndex_)
                getters[j++] = std::move(getres.second[i]);
        }
        return {result, std::move(getters)};
    }
#endif
private:
    void RegisterDependencies() const final {
        FlowDependsOn(Flow_);
    }

    IComputationWideFlowNode *const Flow_;
    const ui32 BitmapIndex_;
    const ui32 Width_;
    const ui32 WideFieldsIndex_;
};

class TCompressScalars : public TStatelessWideFlowCodegeneratorNode<TCompressScalars> {
using TBaseComputation = TStatelessWideFlowCodegeneratorNode<TCompressScalars>;
public:
    TCompressScalars(TComputationMutables& mutables, IComputationWideFlowNode* flow, ui32 bitmapIndex, ui32 width)
        : TBaseComputation(flow)
        , Flow_(flow)
        , BitmapIndex_(bitmapIndex)
        , Width_(width)
        , WideFieldsIndex_(mutables.IncrementWideFieldsIndex(Width_))
    {
    }

    EFetchResult DoCalculate(TComputationContext& ctx, NUdf::TUnboxedValue*const* output) const {
        const auto fields = ctx.WideFields.data() + WideFieldsIndex_;
        NUdf::TUnboxedValue bitmap;
        for (ui32 i = 0, outIndex = 0; i < Width_; ++i) {
            fields[i] = i == BitmapIndex_ ? &bitmap : output[outIndex++];
        }

        for (;;) {
            if (const auto result = Flow_->FetchValues(ctx, fields); EFetchResult::One != result)
                return result;

            if (const auto popCount = GetBitmapPopCountCount(bitmap)) {
                if (const auto out = output[Width_ - 2])
                    *out = ctx.HolderFactory.CreateArrowBlock(arrow::Datum(std::make_shared<arrow::UInt64Scalar>(popCount)));
                break;
            }
        }
        return EFetchResult::One;
    }
#ifndef MKQL_DISABLE_CODEGEN
    ICodegeneratorInlineWideNode::TGenerateResult DoGenGetValues(const TCodegenContext& ctx, BasicBlock*& block) const {
        auto& context = ctx.Codegen.GetContext();

        const auto valueType = Type::getInt128Ty(context);
        const auto ptrValueType = PointerType::getUnqual(valueType);
        const auto statusType = Type::getInt32Ty(context);
        const auto sizeType = Type::getInt64Ty(context);

        const auto atTop = &ctx.Func->getEntryBlock().back();

        const auto sizePtr = new AllocaInst(valueType, 0U, "size_ptr", atTop);
        new StoreInst(ConstantInt::get(valueType, 0), sizePtr, atTop);

        const auto name = "GetBitmapPopCountCount";
        ctx.Codegen.AddGlobalMapping(name, reinterpret_cast<const void*>(&GetBitmapPopCountCount));
        const auto getPopCountType = NYql::NCodegen::ETarget::Windows != ctx.Codegen.GetEffectiveTarget() ?
            FunctionType::get(sizeType, { valueType }, false):
            FunctionType::get(sizeType, { ptrValueType }, false);
        const auto getPopCount = ctx.Codegen.GetModule().getOrInsertFunction(name, getPopCountType);

        const auto loop = BasicBlock::Create(context, "loop", ctx.Func);
        const auto work = BasicBlock::Create(context, "work", ctx.Func);
        const auto fill = BasicBlock::Create(context, "fill", ctx.Func);
        const auto over = BasicBlock::Create(context, "over", ctx.Func);

        BranchInst::Create(loop, block);
        block = loop;

        const auto getres = GetNodeValues(Flow_, ctx, block);
        const auto special = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_SLE, getres.first, ConstantInt::get(getres.first->getType(), static_cast<i32>(EFetchResult::Yield)), "special", block);

        const auto result = PHINode::Create(statusType, 2U, "result", over);
        result->addIncoming(getres.first, block);

        BranchInst::Create(over, work, special, block);

        block = work;

        const auto bitmapValue = getres.second[BitmapIndex_](ctx, block);
        const auto pops = CallInst::Create(getPopCount, { WrapArgumentForWindows(bitmapValue, ctx, block) }, "pops", block);
        const auto good = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_UGT, pops, ConstantInt::get(sizeType, 0), "good", block);

        BranchInst::Create(fill, loop, good, block);

        block = fill;

        const auto makeCountFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&MakeBlockCount));
        const auto makeCountType = FunctionType::get(valueType, {ctx.GetFactory()->getType(), pops->getType()}, false);
        const auto makeCountPtr = CastInst::Create(Instruction::IntToPtr, makeCountFunc, PointerType::getUnqual(makeCountType), "make_count_func", block);
        const auto slice = CallInst::Create(makeCountType, makeCountPtr, {ctx.GetFactory(), pops}, "slice", block);
        new StoreInst(slice, sizePtr, block);

        result->addIncoming(ConstantInt::get(statusType, static_cast<i32>(EFetchResult::One)), block);

        BranchInst::Create(over, block);

        block = over;

        ICodegeneratorInlineWideNode::TGettersList getters(getres.second.size() - 1U);
        for (ui32 i = 0, j = 0; i < getters.size(); ++i) {
            if (i != BitmapIndex_)
                getters[j++] = std::move(getres.second[i]);
        }
        getters.back() = [sizePtr, valueType](const TCodegenContext&, BasicBlock*& block) {
            return new LoadInst(valueType, sizePtr, "count", block);
        };
        return {result, std::move(getters)};
    }
#endif
private:
    void RegisterDependencies() const final {
        FlowDependsOn(Flow_);
    }

    IComputationWideFlowNode *const Flow_;
    const ui32 BitmapIndex_;
    const ui32 Width_;
    const ui32 WideFieldsIndex_;
};

size_t GetBitmapPopCount(const std::shared_ptr<arrow::ArrayData>& arr) {
    size_t len = (size_t)arr->length;
    MKQL_ENSURE(arr->GetNullCount() == 0, "Bitmap block should not have nulls");
    const ui8* src = arr->GetValues<ui8>(1);
    return GetSparseBitmapPopCount(src, len);
}

class TCompressBlocks : public TStatefulWideFlowCodegeneratorNode<TCompressBlocks> {
using TBaseComputation = TStatefulWideFlowCodegeneratorNode<TCompressBlocks>;
public:
    TCompressBlocks(TComputationMutables& mutables, IComputationWideFlowNode* flow, ui32 bitmapIndex, TVector<TBlockType*>&& types)
        : TBaseComputation(mutables, flow, EValueRepresentation::Boxed)
        , Flow_(flow)
        , BitmapIndex_(bitmapIndex)
        , Types_(std::move(types))
        , WideFieldsIndex_(mutables.IncrementWideFieldsIndex(Types_.size() + 2U))
    {
    }

    EFetchResult DoCalculate(NUdf::TUnboxedValue& state, TComputationContext& ctx, NUdf::TUnboxedValue*const* output) const {
        auto& s = GetState(state, ctx);

        const auto fields = ctx.WideFields.data() + WideFieldsIndex_;
        for (auto i = 0U, j = 0U; i <= Types_.size() + 1U; ++i) {
            if (BitmapIndex_ !=  i)
                fields[i] =  &s.Values[j++];
        }

        NUdf::TUnboxedValue bitmap;
        fields[BitmapIndex_] = &bitmap;

        if (!s.Count) {
            do if (!s.InputSize_) {
                s.ClearValues();
                switch (Flow_->FetchValues(ctx, fields)) {
                    case EFetchResult::Yield:
                        return EFetchResult::Yield;
                    case EFetchResult::Finish:
                        s.IsFinished_ = true;
                        break;
                    case EFetchResult::One:
                        switch (s.Check(bitmap.Release())) {
                            case TState::EStep::Copy:
                                for (ui32 i = 0; i < s.Values.size(); ++i) {
                                    if (const auto out = output[i]) {
                                        *out = s.Values[i];
                                    }
                                }
                                return EFetchResult::One;
                            case TState::EStep::Skip:
                                continue;
                            case TState::EStep::Pass:
                                break;
                        }
                        break;
                }
            } while (!s.IsFinished_ && s.Sparse());

            if (s.OutputPos_)
                s.FlushBuffers(ctx.HolderFactory);
            else
                return EFetchResult::Finish;
        }

        const auto sliceSize = s.Slice();
        for (size_t i = 0; i <= Types_.size(); ++i) {
            if (const auto out = output[i]) {
                *out = s.Get(sliceSize, ctx.HolderFactory, i);
            }
        }

        return EFetchResult::One;
    }
#ifndef MKQL_DISABLE_CODEGEN
    ICodegeneratorInlineWideNode::TGenerateResult DoGenGetValues(const TCodegenContext& ctx, Value* statePtr, BasicBlock*& block) const {
        auto& context = ctx.Codegen.GetContext();

        const auto width = Types_.size() + 1U;

        const auto valueType = Type::getInt128Ty(context);
        const auto statusType = Type::getInt32Ty(context);
        const auto indexType = Type::getInt64Ty(context);
        const auto arrayType = ArrayType::get(valueType, width);
        const auto ptrValuesType = PointerType::getUnqual(arrayType);

        TLLVMFieldsStructureState stateFields(context, width);
        const auto stateType = StructType::get(context, stateFields.GetFieldsArray());
        const auto statePtrType = PointerType::getUnqual(stateType);

        const auto atTop = &ctx.Func->getEntryBlock().back();

        const auto getFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TState::Get));
        const auto getType = FunctionType::get(valueType, {statePtrType, indexType, ctx.GetFactory()->getType(), indexType}, false);
        const auto getPtr = CastInst::Create(Instruction::IntToPtr, getFunc, PointerType::getUnqual(getType), "get", atTop);

        const auto heightPtr = new AllocaInst(indexType, 0U, "height_ptr", atTop);
        const auto stateOnStack = new AllocaInst(statePtrType, 0U, "state_on_stack", atTop);

        new StoreInst(ConstantInt::get(indexType, 0), heightPtr, atTop);
        new StoreInst(ConstantPointerNull::get(statePtrType), stateOnStack, atTop);

        const auto make = BasicBlock::Create(context, "make", ctx.Func);
        const auto main = BasicBlock::Create(context, "main", ctx.Func);
        const auto loop = BasicBlock::Create(context, "loop", ctx.Func);
        const auto more = BasicBlock::Create(context, "more", ctx.Func);
        const auto read = BasicBlock::Create(context, "read", ctx.Func);
        const auto stop = BasicBlock::Create(context, "stop", ctx.Func);
        const auto good = BasicBlock::Create(context, "good", ctx.Func);
        const auto save = BasicBlock::Create(context, "save", ctx.Func);
        const auto work = BasicBlock::Create(context, "work", ctx.Func);
        const auto tail = BasicBlock::Create(context, "tail", ctx.Func);
        const auto done = BasicBlock::Create(context, "done", ctx.Func);
        const auto fill = BasicBlock::Create(context, "fill", ctx.Func);
        const auto over = BasicBlock::Create(context, "over", ctx.Func);

        BranchInst::Create(make, main, IsInvalid(statePtr, block), block);
        block = make;

        const auto ptrType = PointerType::getUnqual(StructType::get(context));
        const auto self = CastInst::Create(Instruction::IntToPtr, ConstantInt::get(Type::getInt64Ty(context), uintptr_t(this)), ptrType, "self", block);
        const auto makeFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TCompressBlocks::MakeState));
        const auto makeType = FunctionType::get(Type::getVoidTy(context), {self->getType(), ctx.Ctx->getType(), statePtr->getType()}, false);
        const auto makeFuncPtr = CastInst::Create(Instruction::IntToPtr, makeFunc, PointerType::getUnqual(makeType), "function", block);
        CallInst::Create(makeType, makeFuncPtr, {self, ctx.Ctx, statePtr}, "", block);
        BranchInst::Create(main, block);

        block = main;

        const auto state = new LoadInst(valueType, statePtr, "state", block);
        const auto half = CastInst::Create(Instruction::Trunc, state, Type::getInt64Ty(context), "half", block);
        const auto stateArg = CastInst::Create(Instruction::IntToPtr, half, statePtrType, "state_arg", block);

        const auto countPtr = GetElementPtrInst::CreateInBounds(stateType, stateArg, { stateFields.This(), stateFields.GetCount() }, "count_ptr", block);
        const auto inputSizePtr = GetElementPtrInst::CreateInBounds(stateType, stateArg, { stateFields.This(), stateFields.GetInputSize() }, "input_size_ptr", block);

        BranchInst::Create(loop, block);

        block = loop;

        const auto count = new LoadInst(indexType, countPtr, "count", block);

        const auto next = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_EQ, count, ConstantInt::get(indexType, 0), "next", block);

        BranchInst::Create(more, fill, next, block);

        block = more;

        const auto inputSize = new LoadInst(indexType, inputSizePtr, "input_size", block);
        const auto zero = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_EQ, inputSize, ConstantInt::get(indexType, 0), "zero", block);

        BranchInst::Create(read, work, zero, block);

        block = read;

        const auto clearFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TState::ClearValues));
        const auto clearType = FunctionType::get(Type::getVoidTy(context), {statePtrType}, false);
        const auto clearPtr = CastInst::Create(Instruction::IntToPtr, clearFunc, PointerType::getUnqual(clearType), "clear", block);
        CallInst::Create(clearType, clearPtr, {stateArg}, "", block);

        const auto getres = GetNodeValues(Flow_, ctx, block);

        new StoreInst(ConstantInt::get(indexType, 0), heightPtr, block);
        const auto result = PHINode::Create(statusType, 4U, "result", over);
        result->addIncoming(getres.first, block);

        const auto way = SwitchInst::Create(getres.first, good, 2U, block);
        way->addCase(ConstantInt::get(statusType, i32(EFetchResult::Finish)), stop);
        way->addCase(ConstantInt::get(statusType, i32(EFetchResult::Yield)), over);

        block = stop;

        const auto finishPtr = GetElementPtrInst::CreateInBounds(stateType, stateArg, { stateFields.This(), stateFields.GetIsFinished() }, "finish_ptr", block);
        new StoreInst(ConstantInt::getTrue(context), finishPtr, block);
        BranchInst::Create(tail, block);

        block = good;

        const auto bitmap = getres.second[BitmapIndex_](ctx, block);
        const auto bitmapArg = WrapArgumentForWindows(bitmap, ctx, block);

        const auto stepType = Type::getInt8Ty(context);
        const auto checkFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TState::Check));
        const auto checkType = FunctionType::get(stepType, {statePtrType, bitmapArg->getType()}, false);
        const auto checkPtr = CastInst::Create(Instruction::IntToPtr, checkFunc, PointerType::getUnqual(checkType), "check_func", block);
        const auto check = CallInst::Create(checkType, checkPtr, {stateArg, bitmapArg}, "check", block);

        result->addIncoming(ConstantInt::get(statusType, static_cast<i32>(EFetchResult::One)), block);

        const auto step = SwitchInst::Create(check, save, 2U, block);
        step->addCase(ConstantInt::get(stepType, i8(TState::EStep::Skip)), read);
        step->addCase(ConstantInt::get(stepType, i8(TState::EStep::Copy)), over);

        block = save;

        const auto valuesPtr = GetElementPtrInst::CreateInBounds(stateType, stateArg, { stateFields.This(), stateFields.GetPointer() }, "values_ptr", block);
        const auto values = new LoadInst(ptrValuesType, valuesPtr, "values", block);
        for (size_t idx = 0U; idx <= Types_.size(); ++idx) {
            const auto pointer = GetElementPtrInst::CreateInBounds(arrayType, values, {  ConstantInt::get(indexType, 0),  ConstantInt::get(indexType, idx) }, "pointer", block);
            const auto value = getres.second[idx < BitmapIndex_ ? idx : idx + 1U](ctx, block);
            new StoreInst(value, pointer, block);
            AddRefBoxed(value, ctx, block);
        }

        BranchInst::Create(work, block);

        block = work;

        const auto sparseFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TState::Sparse));
        const auto sparseType = FunctionType::get(Type::getInt1Ty(context), {statePtrType}, false);
        const auto sparsePtr = CastInst::Create(Instruction::IntToPtr, sparseFunc, PointerType::getUnqual(sparseType), "sparse_func", block);
        const auto sparse = CallInst::Create(sparseType, sparsePtr, {stateArg}, "sparse", block);

        BranchInst::Create(loop, tail, sparse, block);

        block = tail;

        const auto outputPosPtr = GetElementPtrInst::CreateInBounds(stateType, stateArg, { stateFields.This(), stateFields.GetOutputPos() }, "output_pos_ptr", block);
        const auto outputPos = new LoadInst(indexType, outputPosPtr, "output_pos", block);
        const auto empty = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_EQ, outputPos, ConstantInt::get(indexType, 0), "empty", block);

        result->addIncoming(ConstantInt::get(statusType, static_cast<i32>(EFetchResult::Finish)), block);

        BranchInst::Create(over, done, empty, block);

        block = done;

        const auto flushFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TState::FlushBuffers));
        const auto flushType = FunctionType::get(Type::getVoidTy(context), {statePtrType, ctx.GetFactory()->getType()}, false);
        const auto flushPtr = CastInst::Create(Instruction::IntToPtr, flushFunc, PointerType::getUnqual(flushType), "flush_func", block);
        CallInst::Create(flushType, flushPtr, {stateArg, ctx.GetFactory()}, "", block);

        BranchInst::Create(fill, block);

        block = fill;

        const auto sliceFunc = ConstantInt::get(Type::getInt64Ty(context), GetMethodPtr(&TState::Slice));
        const auto sliceType = FunctionType::get(indexType, {statePtrType}, false);
        const auto slicePtr = CastInst::Create(Instruction::IntToPtr, sliceFunc, PointerType::getUnqual(sliceType), "slice_func", block);
        const auto slice = CallInst::Create(sliceType, slicePtr, {stateArg}, "slice", block);
        new StoreInst(slice, heightPtr, block);
        new StoreInst(stateArg, stateOnStack, block);

        result->addIncoming(ConstantInt::get(statusType, static_cast<i32>(EFetchResult::One)), block);

        BranchInst::Create(over, block);

        block = over;

        ICodegeneratorInlineWideNode::TGettersList getters(width);
        for (size_t idx = 0U; idx < getters.size(); ++idx) {
            getters[idx] = [idx, getType, getPtr, heightPtr, indexType, valueType, statePtrType, stateOnStack, getter = getres.second[idx < BitmapIndex_ ? idx : idx + 1U]](const TCodegenContext& ctx, BasicBlock*& block) {
                auto& context = ctx.Codegen.GetContext();
                const auto pass = BasicBlock::Create(context, "pass", ctx.Func);
                const auto call = BasicBlock::Create(context, "call", ctx.Func);
                const auto done = BasicBlock::Create(context, "done", ctx.Func);

                const auto result = PHINode::Create(valueType, 2U, "result", done);

                const auto height = new LoadInst(indexType, heightPtr, "height", block);
                const auto zero = CmpInst::Create(Instruction::ICmp, ICmpInst::ICMP_EQ, height, ConstantInt::get(indexType, 0), "zero", block);

                BranchInst::Create(pass, call, zero, block);

                block = pass;

                const auto source = getter(ctx, block);
                result->addIncoming(source, block);
                BranchInst::Create(done, block);

                block = call;

                const auto stateArg = new LoadInst(statePtrType, stateOnStack, "state", block);
                const auto value = CallInst::Create(getType, getPtr, {stateArg, height, ctx.GetFactory(), ConstantInt::get(indexType, idx)}, "value", block);
                result->addIncoming(value, block);
                BranchInst::Create(done, block);

                block = done;
                return result;
            };
        }
        return {result, std::move(getters)};
    }
#endif
private:
    struct TState : public TBlockState {
        size_t InputSize_ = 0;
        size_t OutputPos_ = 0;
        bool IsFinished_ = false;

        const size_t MaxLength_;

        std::vector<std::shared_ptr<arrow::ArrayData>> Arrays_;
        std::vector<std::unique_ptr<IArrayBuilder>> Builders_;

        TState(TMemoryUsageInfo* memInfo, TComputationContext& ctx, const TVector<TBlockType*>& types)
            : TBlockState(memInfo, types.size() + 1U)
            , MaxLength_(CalcBlockLen(std::accumulate(types.cbegin(), types.cend(), 0ULL, [](size_t max, const TBlockType* type){ return std::max(max, CalcMaxBlockItemSize(type->GetItemType())); })))
            , Arrays_(types.size() + 1U)
            , Builders_(types.size())
        {
            for (ui32 i = 0; i < types.size(); ++i) {
                if (types[i]->GetShape() != TBlockType::EShape::Scalar) {
                    Builders_[i] = MakeArrayBuilder(TTypeInfoHelper(), types[i]->GetItemType(), ctx.ArrowMemoryPool, MaxLength_, &ctx.Builder->GetPgBuilder());
                }
            }
        }

        enum class EStep : i8 {
            Copy = -1,
            Skip = 0,
            Pass = 1
        };

        EStep Check(const NUdf::TUnboxedValuePod bitmapValue) {
            Y_ABORT_UNLESS(!IsFinished_);
            Y_ABORT_UNLESS(!InputSize_);
            const NUdf::TUnboxedValue b(std::move(bitmapValue));
            auto& bitmap = Arrays_.back();
            bitmap = TArrowBlock::From(b).GetDatum().array();

            if (!bitmap->length)
                return EStep::Skip;

            const auto popCount = GetBitmapPopCount(bitmap);
            if (!popCount)
                return EStep::Skip;

            if (!OutputPos_ && ui64(bitmap->length) == popCount)
                return EStep::Copy;

            return EStep::Pass;
        }

        bool Sparse() {
            auto& bitmap = Arrays_.back();
            if (!InputSize_) {
                InputSize_ = bitmap->length;
                for (size_t i = 0; i < Builders_.size(); ++i) {
                    if (Builders_[i]) {
                        Arrays_[i] = TArrowBlock::From(Values[i]).GetDatum().array();
                        Y_ABORT_UNLESS(ui64(Arrays_[i]->length) == InputSize_);
                    }
                }
            }

            size_t outputAvail = MaxLength_ - OutputPos_;
            size_t takeInputLen = 0;
            size_t takeInputPopcnt = 0;

            const auto bitmapData = bitmap->GetValues<ui8>(1);
            while (takeInputPopcnt < outputAvail && takeInputLen < InputSize_) {
                takeInputPopcnt += bitmapData[takeInputLen++];
            }
            Y_ABORT_UNLESS(takeInputLen > 0);
            for (size_t i = 0; i < Builders_.size(); ++i) {
                if (Builders_[i]) {
                    auto& arr = Arrays_[i];
                    auto& builder = Builders_[i];
                    auto slice = Chop(arr, takeInputLen);
                    builder->AddMany(*slice, takeInputPopcnt, bitmapData, takeInputLen);
                }
            }

            Chop(bitmap, takeInputLen);
            OutputPos_ += takeInputPopcnt;
            InputSize_ -= takeInputLen;
            return MaxLength_ > OutputPos_;
        }

        void FlushBuffers(const THolderFactory& holderFactory) {
            for (ui32 i = 0; i < Builders_.size(); ++i) {
                if (Builders_[i])
                    Values[i] = holderFactory.CreateArrowBlock(Builders_[i]->Build(IsFinished_));
            }

            Values.back() = MakeBlockCount(holderFactory, OutputPos_);
            OutputPos_ = 0;
            FillArrays();
        }
    };
#ifndef MKQL_DISABLE_CODEGEN
    class TLLVMFieldsStructureState: public TLLVMFieldsStructureBlockState {
    private:
        using TBase = TLLVMFieldsStructureBlockState;
        llvm::IntegerType*const InputSizeType;
        llvm::IntegerType*const OutputPosType;
        llvm::IntegerType*const IsFinishedType;
    protected:
        using TBase::Context;
    public:
        std::vector<llvm::Type*> GetFieldsArray() {
            std::vector<llvm::Type*> result = TBase::GetFieldsArray();
            result.emplace_back(InputSizeType);
            result.emplace_back(OutputPosType);
            result.emplace_back(IsFinishedType);
            return result;
        }

        llvm::Constant* GetInputSize() {
            return ConstantInt::get(Type::getInt32Ty(Context), TBase::GetFieldsCount() + BaseFields);
        }

        llvm::Constant* GetOutputPos() {
            return ConstantInt::get(Type::getInt32Ty(Context), TBase::GetFieldsCount() + BaseFields + 1);
        }

        llvm::Constant* GetIsFinished() {
            return ConstantInt::get(Type::getInt32Ty(Context), TBase::GetFieldsCount() + BaseFields + 2);
        }

        TLLVMFieldsStructureState(llvm::LLVMContext& context, size_t width)
            : TBase(context, width)
            , InputSizeType(Type::getInt64Ty(Context))
            , OutputPosType(Type::getInt64Ty(Context))
            , IsFinishedType(Type::getInt1Ty(Context))
        {}
    };
#endif
    void RegisterDependencies() const final {
        FlowDependsOn(Flow_);
    }

    void MakeState(TComputationContext& ctx, NUdf::TUnboxedValue& state) const {
        state = ctx.HolderFactory.Create<TState>(ctx, Types_);
    }

    TState& GetState(NUdf::TUnboxedValue& state, TComputationContext& ctx) const {
        if (state.IsInvalid())
            MakeState(ctx, state);
        return *static_cast<TState*>(state.AsBoxed().Get());
    }


    IComputationWideFlowNode* const Flow_;
    const ui32 BitmapIndex_;
    const TVector<TBlockType*> Types_;
    const size_t WideFieldsIndex_;
};

} // namespace

IComputationNode* WrapBlockCompress(TCallable& callable, const TComputationNodeFactoryContext& ctx) {
    MKQL_ENSURE(callable.GetInputsCount() == 2, "Expected 2 args, got " << callable.GetInputsCount());

    const auto flowType = AS_TYPE(TFlowType, callable.GetInput(0).GetStaticType());
    const auto wideComponents = GetWideComponents(flowType);
    const ui32 width = wideComponents.size();
    MKQL_ENSURE(width > 1, "Expected at least two columns");

    const auto indexData = AS_VALUE(TDataLiteral, callable.GetInput(1U));
    const auto index = indexData->AsValue().Get<ui32>();
    MKQL_ENSURE(index < width - 1, "Bad bitmap index");

    TVector<TBlockType*> types;
    types.reserve(width - 2U);
    bool bitmapIsScalar = false;
    bool allScalars = true;
    for (ui32 i = 0; i < width; ++i) {
        types.push_back(AS_TYPE(TBlockType, wideComponents[i]));
        const bool isScalar = types.back()->GetShape() == TBlockType::EShape::Scalar;
        if (i == width - 1) {
            MKQL_ENSURE(isScalar, "Expecting scalar block size as last column");
            bool isOptional;
            TDataType* unpacked = UnpackOptionalData(types.back()->GetItemType(), isOptional);
            auto slot = *unpacked->GetDataSlot();
            MKQL_ENSURE(!isOptional && slot == NUdf::EDataSlot::Uint64, "Expecting Uint64 as last column");
            types.pop_back();
        } else if (i == index) {
            bool isOptional;
            TDataType* unpacked = UnpackOptionalData(types.back()->GetItemType(), isOptional);
            auto slot = *unpacked->GetDataSlot();
            MKQL_ENSURE(!isOptional && slot == NUdf::EDataSlot::Bool, "Expecting Bool as bitmap column");
            bitmapIsScalar = isScalar;
            types.pop_back();
        } else {
            allScalars = allScalars && isScalar;
        }
    }

    const auto wideFlow = dynamic_cast<IComputationWideFlowNode*>(LocateNode(ctx.NodeLocator, callable, 0));
    MKQL_ENSURE(wideFlow != nullptr, "Expected wide flow node");

    if (bitmapIsScalar) {
        return new TCompressWithScalarBitmap(ctx.Mutables, wideFlow, index, width);
    } else if (allScalars) {
        return new TCompressScalars(ctx.Mutables, wideFlow, index, width);
    }

    return new TCompressBlocks(ctx.Mutables, wideFlow, index, std::move(types));
}

} // namespace NMiniKQL
} // namespace NKikimr