Previous algotirhm assumed that types and ids are in a single unified stream. For inputs that come from object files, this is the case. But if the input is already a PDB, or is the result of a previous merge, then the types and ids will already have been split up, in which case we need an algorithm that can accept operate on independent streams of types and ids that refer across stream boundaries to each other. Differential Revision: https://reviews.llvm.org/D33417 llvm-svn: 303577
153 lines
5.4 KiB
C++
153 lines
5.4 KiB
C++
//===- TpiStream.cpp - PDB Type Info (TPI) Stream 2 Access ----------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/DebugInfo/PDB/Native/TpiStream.h"
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#include "llvm/ADT/iterator_range.h"
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#include "llvm/DebugInfo/CodeView/LazyRandomTypeCollection.h"
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#include "llvm/DebugInfo/CodeView/TypeRecord.h"
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#include "llvm/DebugInfo/MSF/MappedBlockStream.h"
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#include "llvm/DebugInfo/PDB/Native/PDBFile.h"
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#include "llvm/DebugInfo/PDB/Native/PDBTypeServerHandler.h"
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#include "llvm/DebugInfo/PDB/Native/RawConstants.h"
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#include "llvm/DebugInfo/PDB/Native/RawError.h"
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#include "llvm/DebugInfo/PDB/Native/RawTypes.h"
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#include "llvm/DebugInfo/PDB/Native/TpiHashing.h"
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#include "llvm/Support/BinaryStreamReader.h"
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#include "llvm/Support/Endian.h"
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#include "llvm/Support/Error.h"
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#include <algorithm>
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#include <cstdint>
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#include <vector>
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using namespace llvm;
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using namespace llvm::codeview;
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using namespace llvm::support;
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using namespace llvm::msf;
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using namespace llvm::pdb;
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TpiStream::TpiStream(const PDBFile &File,
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std::unique_ptr<MappedBlockStream> Stream)
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: Pdb(File), Stream(std::move(Stream)) {}
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TpiStream::~TpiStream() = default;
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Error TpiStream::reload() {
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BinaryStreamReader Reader(*Stream);
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if (Reader.bytesRemaining() < sizeof(TpiStreamHeader))
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return make_error<RawError>(raw_error_code::corrupt_file,
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"TPI Stream does not contain a header.");
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if (Reader.readObject(Header))
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return make_error<RawError>(raw_error_code::corrupt_file,
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"TPI Stream does not contain a header.");
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if (Header->Version != PdbTpiV80)
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return make_error<RawError>(raw_error_code::corrupt_file,
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"Unsupported TPI Version.");
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if (Header->HeaderSize != sizeof(TpiStreamHeader))
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return make_error<RawError>(raw_error_code::corrupt_file,
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"Corrupt TPI Header size.");
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if (Header->HashKeySize != sizeof(ulittle32_t))
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return make_error<RawError>(raw_error_code::corrupt_file,
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"TPI Stream expected 4 byte hash key size.");
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if (Header->NumHashBuckets < MinTpiHashBuckets ||
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Header->NumHashBuckets > MaxTpiHashBuckets)
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return make_error<RawError>(raw_error_code::corrupt_file,
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"TPI Stream Invalid number of hash buckets.");
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// The actual type records themselves come from this stream
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if (auto EC = Reader.readArray(TypeRecords, Header->TypeRecordBytes))
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return EC;
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// Hash indices, hash values, etc come from the hash stream.
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if (Header->HashStreamIndex != kInvalidStreamIndex) {
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if (Header->HashStreamIndex >= Pdb.getNumStreams())
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return make_error<RawError>(raw_error_code::corrupt_file,
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"Invalid TPI hash stream index.");
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auto HS = MappedBlockStream::createIndexedStream(
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Pdb.getMsfLayout(), Pdb.getMsfBuffer(), Header->HashStreamIndex);
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BinaryStreamReader HSR(*HS);
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// There should be a hash value for every type record, or no hashes at all.
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uint32_t NumHashValues =
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Header->HashValueBuffer.Length / sizeof(ulittle32_t);
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if (NumHashValues != getNumTypeRecords() && NumHashValues != 0)
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return make_error<RawError>(
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raw_error_code::corrupt_file,
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"TPI hash count does not match with the number of type records.");
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HSR.setOffset(Header->HashValueBuffer.Off);
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if (auto EC = HSR.readArray(HashValues, NumHashValues))
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return EC;
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HSR.setOffset(Header->IndexOffsetBuffer.Off);
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uint32_t NumTypeIndexOffsets =
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Header->IndexOffsetBuffer.Length / sizeof(TypeIndexOffset);
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if (auto EC = HSR.readArray(TypeIndexOffsets, NumTypeIndexOffsets))
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return EC;
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if (Header->HashAdjBuffer.Length > 0) {
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HSR.setOffset(Header->HashAdjBuffer.Off);
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if (auto EC = HashAdjusters.load(HSR))
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return EC;
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}
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HashStream = std::move(HS);
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}
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Types = llvm::make_unique<LazyRandomTypeCollection>(
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TypeRecords, getNumTypeRecords(), getTypeIndexOffsets());
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return Error::success();
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}
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PdbRaw_TpiVer TpiStream::getTpiVersion() const {
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uint32_t Value = Header->Version;
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return static_cast<PdbRaw_TpiVer>(Value);
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}
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uint32_t TpiStream::TypeIndexBegin() const { return Header->TypeIndexBegin; }
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uint32_t TpiStream::TypeIndexEnd() const { return Header->TypeIndexEnd; }
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uint32_t TpiStream::getNumTypeRecords() const {
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return TypeIndexEnd() - TypeIndexBegin();
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}
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uint16_t TpiStream::getTypeHashStreamIndex() const {
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return Header->HashStreamIndex;
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}
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uint16_t TpiStream::getTypeHashStreamAuxIndex() const {
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return Header->HashAuxStreamIndex;
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}
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uint32_t TpiStream::getNumHashBuckets() const { return Header->NumHashBuckets; }
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uint32_t TpiStream::getHashKeySize() const { return Header->HashKeySize; }
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FixedStreamArray<support::ulittle32_t> TpiStream::getHashValues() const {
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return HashValues;
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}
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FixedStreamArray<TypeIndexOffset> TpiStream::getTypeIndexOffsets() const {
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return TypeIndexOffsets;
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}
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HashTable &TpiStream::getHashAdjusters() { return HashAdjusters; }
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CVTypeRange TpiStream::types(bool *HadError) const {
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return make_range(TypeRecords.begin(HadError), TypeRecords.end());
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}
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Error TpiStream::commit() { return Error::success(); }
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