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/**
* Copyright (C) 2021-present MongoDB, Inc.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the Server Side Public License, version 1,
* as published by MongoDB, Inc.
*
* This program 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
* Server Side Public License for more details.
*
* You should have received a copy of the Server Side Public License
* along with this program. If not, see
* <http://www.mongodb.com/licensing/server-side-public-license>.
*
* As a special exception, the copyright holders give permission to link the
* code of portions of this program with the OpenSSL library under certain
* conditions as described in each individual source file and distribute
* linked combinations including the program with the OpenSSL library. You
* must comply with the Server Side Public License in all respects for
* all of the code used other than as permitted herein. If you modify file(s)
* with this exception, you may extend this exception to your version of the
* file(s), but you are not obligated to do so. If you do not wish to do so,
* delete this exception statement from your version. If you delete this
* exception statement from all source files in the program, then also delete
* it in the license file.
*/
#include "mongo/db/timeseries/bucket_compression.h"
#include "mongo/bson/bsonobjbuilder.h"
#include "mongo/bson/util/bsoncolumn.h"
#include "mongo/bson/util/bsoncolumnbuilder.h"
#include "mongo/db/storage/storage_parameters_gen.h"
#include "mongo/db/timeseries/timeseries_constants.h"
#include "mongo/logv2/log.h"
#include "mongo/util/assert_util.h"
#include "mongo/util/fail_point.h"
#define MONGO_LOGV2_DEFAULT_COMPONENT ::mongo::logv2::LogComponent::kStorage
namespace mongo {
namespace timeseries {
namespace {
MONGO_FAIL_POINT_DEFINE(simulateBsonColumnCompressionDataLoss);
}
CompressionResult compressBucket(const BSONObj& bucketDoc,
StringData timeFieldName,
const NamespaceString& nss,
bool validateDecompression) try {
CompressionResult result;
// Helper for uncompressed measurements
struct Measurement {
BSONElement timeField;
std::vector<BSONElement> dataFields;
};
// Buffer to help manipulate data if simulateBsonColumnCompressionDataLoss is set.
// Contents must outlive `measurements` defined below.
std::unique_ptr<char[]> tamperedData;
BSONObjBuilder builder; // builder to build the compressed bucket
std::vector<Measurement> measurements; // Extracted measurements from uncompressed bucket
boost::optional<BSONObjIterator> time; // Iterator to read time fields from uncompressed bucket
std::vector<std::pair<StringData, BSONObjIterator>>
columns; // Iterators to read data fields from uncompressed bucket
BSONElement bucketId;
BSONElement controlElement;
std::vector<BSONElement> otherElements;
// Read everything from the uncompressed bucket
for (auto& elem : bucketDoc) {
// Record bucketId
if (elem.fieldNameStringData() == "_id"_sd) {
bucketId = elem;
continue;
}
// Record control element, we need to parse the uncompressed bucket before writing new
// control block.
if (elem.fieldNameStringData() == kBucketControlFieldName) {
controlElement = elem;
continue;
}
// Everything that's not under data or control is left as-is, record elements so we can
// write later (we want _id and control to be first).
if (elem.fieldNameStringData() != kBucketDataFieldName) {
otherElements.push_back(elem);
continue;
}
// Setup iterators to read all fields under data in lock-step
for (auto& columnObj : elem.Obj()) {
if (columnObj.fieldNameStringData() == timeFieldName) {
time.emplace(columnObj.Obj());
} else {
columns.emplace_back(columnObj.fieldNameStringData(), columnObj.Obj());
}
}
}
// If provided time field didn't exist then there is nothing to do
if (!time) {
return result;
}
// Read all measurements from bucket
while (time->more()) {
// Get and advance the time iterator
auto timeElement = time->next();
// Get BSONElement's to all data elements. Missing data fields are represented as EOO.
Measurement measurement;
measurement.timeField = timeElement;
measurement.dataFields.resize(columns.size());
// Read one element from each data field iterator
for (size_t i = 0; i < columns.size(); ++i) {
auto& column = columns[i].second;
// If we reach the end nothing more to do, all subsequent elements will be left as
// EOO/missing.
if (!column.more()) {
continue;
}
// Check that the field name match the name of the time field. Field names are
// strings of integer indexes, "0", "1" etc. Data fields may have missing entries
// where the time field may not. So we can use this fact and just do a simple string
// compare against the time field. If it does not match our data field is skipped
// and the iterator is positioned at an element with a higher index. We should then
// leave the data field as EOO and not advance the data iterator.
auto elem = *column;
if (timeElement.fieldNameStringData() == elem.fieldNameStringData()) {
// Extract the element and advance the iterator
measurement.dataFields[i] = elem;
column.advance(elem);
}
}
measurements.push_back(std::move(measurement));
}
// Verify that we are at end for all data iterators, if we are not then there is something
// funky with the bucket and we have not read everything. We cannot compress as that would
// lose user data.
// This can happen if the bucket contain unordered keys in its data fields {"0": ..., "2":
// ..., "1": ...}. Or if there are more data fields than time fields.
if (std::any_of(columns.begin(), columns.end(), [](const auto& entry) {
return entry.second.more();
})) {
LOGV2_DEBUG(5857801,
1,
"Failed to parse timeseries bucket during compression, leaving uncompressed");
return result;
}
// Sort all the measurements on time order.
std::sort(measurements.begin(),
measurements.end(),
[](const Measurement& lhs, const Measurement& rhs) {
return lhs.timeField.timestamp() < rhs.timeField.timestamp();
});
// Write _id unless EOO which it can be in some unittests
if (!bucketId.eoo()) {
builder.append(bucketId);
}
// Write control block
{
BSONObjBuilder control(builder.subobjStart(kBucketControlFieldName));
// Set the version to indicate that the bucket was compressed. Leave other control fields
// unchanged.
bool versionSet = false;
for (const auto& controlField : controlElement.Obj()) {
if (controlField.fieldNameStringData() == kBucketControlVersionFieldName) {
control.append(kBucketControlVersionFieldName, kTimeseriesControlCompressedVersion);
versionSet = true;
} else {
control.append(controlField);
}
}
// Set version if it was missing from uncompressed bucket
if (!versionSet) {
control.append(kBucketControlVersionFieldName, kTimeseriesControlCompressedVersion);
}
// Set count
control.append(kBucketControlCountFieldName, static_cast<int32_t>(measurements.size()));
}
// Write non control or data elements that are left as-is.
for (auto&& elem : otherElements) {
builder.append(elem);
}
// Last, compress elements and build compressed bucket
{
// Helper to validate compressed data by binary comparing decompressed with original.
auto validate = [&](BSONBinData binary, StringData fieldName, auto getField) {
if (!validateDecompression)
return true;
BSONColumn col(binary, ""_sd);
auto measurementEnd = measurements.end();
auto columnEnd = col.end();
auto res =
std::mismatch(measurements.begin(),
measurementEnd,
col.begin(),
columnEnd,
[&getField](const auto& measurement, BSONElement decompressed) {
return getField(measurement).binaryEqualValues(decompressed);
});
// If both are at end then there is no mismatch
if (res.first == measurementEnd && res.second == columnEnd) {
return true;
}
// If one is at end then we have a size mismatch
if (res.first == measurementEnd || res.second == columnEnd) {
LOGV2_ERROR(
6179302,
"Time-series bucket compression failed due to decompression size mismatch",
logAttrs(nss),
"bucketId"_attr = bucketId.wrap(),
"original"_attr = measurements.size(),
"decompressed"_attr = col.size(),
"bucket"_attr = redact(bucketDoc));
// invariant in debug builds to generate dump
dassert(simulateBsonColumnCompressionDataLoss.shouldFail());
return false;
}
// Otherwise the elements themselves don't match
auto index = std::distance(measurements.begin(), res.first);
LOGV2_ERROR(6179301,
"Time-series bucket compression failed due to decompression data loss",
logAttrs(nss),
"bucketId"_attr = bucketId.wrap(),
"index"_attr = index,
"type"_attr = getField(*res.first).type(),
"original"_attr = redact(getField(*res.first).wrap()),
"decompressed"_attr = redact(res.second->wrap()),
"bucket"_attr = redact(bucketDoc));
// invariant in debug builds to generate dump
dassert(simulateBsonColumnCompressionDataLoss.shouldFail());
return false;
};
BSONObjBuilder dataBuilder = builder.subobjStart(kBucketDataFieldName);
BufBuilder columnBuffer; // Reusable buffer to avoid extra allocs per column.
// Add compressed time field first
{
BSONColumnBuilder timeColumn(std::move(columnBuffer));
for (const auto& measurement : measurements) {
timeColumn.append(measurement.timeField);
}
BSONBinData timeBinary = timeColumn.finalize();
// Simulate compression data loss by tampering with original data when FailPoint is set.
// This should be detected in the validate call below.
if (MONGO_unlikely(simulateBsonColumnCompressionDataLoss.shouldFail() &&
!measurements.empty())) {
// We copy the entire BSONElement and modify the first value byte. The original
// BSONElement is not touched
BSONElement elem = measurements.front().timeField;
tamperedData.reset(new char[elem.size()]);
memcpy(tamperedData.get(), elem.rawdata(), elem.size());
BSONElement tampered(tamperedData.get());
++(*const_cast<char*>(tampered.value()));
measurements.front().timeField = tampered;
}
if (!validate(timeBinary, timeFieldName, [](const auto& measurement) {
return measurement.timeField;
})) {
result.decompressionFailed = true;
return result;
}
dataBuilder.append(timeFieldName, timeBinary);
columnBuffer = timeColumn.detach();
}
// Then add compressed data fields.
for (size_t i = 0; i < columns.size(); ++i) {
BSONColumnBuilder column(std::move(columnBuffer));
for (const auto& measurement : measurements) {
if (auto elem = measurement.dataFields[i]) {
column.append(elem);
} else {
column.skip();
}
}
BSONBinData dataBinary = column.finalize();
if (!validate(dataBinary, columns[i].first, [i](const auto& measurement) {
return measurement.dataFields[i];
})) {
result.decompressionFailed = true;
return result;
}
dataBuilder.append(columns[i].first, dataBinary);
// We only record when the interleaved mode has to re-start. i.e. when more than one
// interleaved start control byte was written in the binary
if (int interleavedStarts = column.numInterleavedStartWritten();
interleavedStarts > 1) {
result.numInterleavedRestarts += interleavedStarts - 1;
}
columnBuffer = column.detach();
}
}
result.compressedBucket = builder.obj();
return result;
} catch (...) {
// Skip compression if we encounter any exception
LOGV2_DEBUG(5857800,
1,
"Exception when compressing timeseries bucket, leaving it uncompressed",
"error"_attr = exceptionToStatus());
return {};
}
boost::optional<BSONObj> decompressBucket(const BSONObj& bucketDoc) {
BSONObjBuilder builder;
for (auto&& topLevel : bucketDoc) {
if (topLevel.fieldNameStringData() == kBucketControlFieldName) {
BSONObjBuilder controlBuilder{builder.subobjStart(kBucketControlFieldName)};
for (auto&& e : topLevel.Obj()) {
if (e.fieldNameStringData() == kBucketControlVersionFieldName) {
// Check that we have a compressed bucket, and rewrite the version to signal
// it's uncompressed now.
if (e.type() != BSONType::NumberInt ||
e.numberInt() != kTimeseriesControlCompressedVersion) {
// This bucket isn't compressed.
return boost::none;
}
builder.append(kBucketControlVersionFieldName,
kTimeseriesControlUncompressedVersion);
} else if (e.fieldNameStringData() == kBucketControlCountFieldName) {
// Omit the count field when decompressing.
continue;
} else {
// Just copy all the other fields.
builder.append(e);
}
}
} else if (topLevel.fieldNameStringData() == kBucketDataFieldName) {
BSONObjBuilder dataBuilder{builder.subobjStart(kBucketDataFieldName)};
// Iterate over the compressed data columns and decompress each one.
for (auto&& e : topLevel.Obj()) {
if (e.type() != BSONType::BinData) {
// This bucket isn't actually compressed.
return boost::none;
}
BSONObjBuilder columnBuilder{dataBuilder.subobjStart(e.fieldNameStringData())};
BSONColumn column{e};
DecimalCounter<uint32_t> count{0};
for (auto&& measurement : column) {
if (!measurement.eoo()) {
builder.appendAs(measurement, count);
}
count++;
}
}
} else {
// If it's not control or data, we can just copy it and continue.
builder.append(topLevel);
}
}
return builder.obj();
}
bool isCompressedBucket(const BSONObj& bucketDoc) {
auto&& controlField = bucketDoc[timeseries::kBucketControlFieldName];
uassert(6540600,
"Time-series bucket documents must have 'control' object present",
controlField && controlField.type() == BSONType::Object);
auto&& versionField = controlField.Obj()[timeseries::kBucketControlVersionFieldName];
uassert(6540601,
"Time-series bucket documents must have 'control.version' field present",
versionField && isNumericBSONType(versionField.type()));
auto version = versionField.Number();
if (version == 1) {
return false;
} else if (version == 2) {
return true;
} else {
uasserted(6540602, "Invalid bucket version");
}
}
} // namespace timeseries
} // namespace mongo
|