Files
scylladb/sstables/types.hh
Glauber Costa f5c32423b8 summary: don't go through all entries when computing memory size.
Summary has a function, memory_size(), that estimates the amount of
memory the summary takes. It is my understanding that this is called
to serve information to tooling.

First, this function is innacurate because it doesn't take into account
the tokens per each entry, just the keys. But more importantly, it has
to iterate over all keys which can be pretty expensive if the entries
list is long. We are now keeping that in a memory area, with just
pointers in the entry. So instead of iterating through the entries, we
can iterate through the memory areas, which is much cheaper.

Signed-off-by: Glauber Costa <glauber@scylladb.com>
Message-Id: <20180316120915.16809-1-glauber@scylladb.com>
2018-03-16 12:57:19 +00:00

464 lines
15 KiB
C++

/*
* Copyright (C) 2015 ScyllaDB
*/
/*
* This file is part of Scylla.
*
* Scylla is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Scylla 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 for more details.
*
* You should have received a copy of the GNU General Public License
* along with Scylla. If not, see <http://www.gnu.org/licenses/>.
*/
#pragma once
#include "disk_types.hh"
#include "core/enum.hh"
#include "bytes.hh"
#include "gc_clock.hh"
#include "tombstone.hh"
#include "utils/streaming_histogram.hh"
#include "utils/estimated_histogram.hh"
#include "column_name_helper.hh"
#include "sstables/key.hh"
#include "db/commitlog/replay_position.hh"
#include <vector>
#include <unordered_map>
#include <type_traits>
// While the sstable code works with char, bytes_view works with int8_t
// (signed char). Rather than change all the code, let's do a cast.
static inline bytes_view to_bytes_view(const temporary_buffer<char>& b) {
using byte = bytes_view::value_type;
return bytes_view(reinterpret_cast<const byte*>(b.get()), b.size());
}
namespace sstables {
struct deletion_time {
int32_t local_deletion_time;
int64_t marked_for_delete_at;
template <typename Describer>
auto describe_type(Describer f) { return f(local_deletion_time, marked_for_delete_at); }
bool live() const {
return (local_deletion_time == std::numeric_limits<int32_t>::max()) &&
(marked_for_delete_at == std::numeric_limits<int64_t>::min());
}
bool operator==(const deletion_time& d) {
return local_deletion_time == d.local_deletion_time &&
marked_for_delete_at == d.marked_for_delete_at;
}
bool operator!=(const deletion_time& d) {
return !(*this == d);
}
explicit operator tombstone() {
return !live() ? tombstone(marked_for_delete_at, gc_clock::time_point(gc_clock::duration(local_deletion_time))) : tombstone();
}
};
struct option {
disk_string<uint16_t> key;
disk_string<uint16_t> value;
template <typename Describer>
auto describe_type(Describer f) { return f(key, value); }
};
struct filter {
uint32_t hashes;
disk_array<uint32_t, uint64_t> buckets;
template <typename Describer>
auto describe_type(Describer f) { return f(hashes, buckets); }
// Create an always positive filter if nothing else is specified.
filter() : hashes(0), buckets({}) {}
explicit filter(int hashes, utils::chunked_vector<uint64_t> buckets) : hashes(hashes), buckets({std::move(buckets)}) {}
};
enum class indexable_element {
partition,
cell
};
class promoted_index_block {
public:
promoted_index_block(temporary_buffer<char>&& start, temporary_buffer<char>&& end,
uint64_t offset, uint64_t width)
: _start(std::move(start)), _end(std::move(end))
, _offset(offset), _width(width)
{}
promoted_index_block(const promoted_index_block& rhs)
: _start(rhs._start.get(), rhs._start.size()), _end(rhs._end.get(), rhs._end.size())
, _offset(rhs._offset), _width(rhs._width)
{}
promoted_index_block(promoted_index_block&&) noexcept = default;
promoted_index_block& operator=(const promoted_index_block& rhs) {
if (this != &rhs) {
_start = temporary_buffer<char>(rhs._start.get(), rhs._start.size());
_end = temporary_buffer<char>(rhs._end.get(), rhs._end.size());
_offset = rhs._offset;
_width = rhs._width;
}
return *this;
}
promoted_index_block& operator=(promoted_index_block&&) noexcept = default;
composite_view start(const schema& s) const { return composite_view(to_bytes_view(_start), s.is_compound());}
composite_view end(const schema& s) const { return composite_view(to_bytes_view(_end), s.is_compound());}
uint64_t offset() const { return _offset; }
uint64_t width() const { return _width; }
private:
temporary_buffer<char> _start;
temporary_buffer<char> _end;
uint64_t _offset;
uint64_t _width;
};
using promoted_index_blocks = seastar::circular_buffer<promoted_index_block>;
class summary_entry {
public:
dht::token_view token;
bytes_view key;
uint64_t position;
key_view get_key() const {
return key_view{key};
}
decorated_key_view get_decorated_key() const {
return decorated_key_view(token, get_key());
}
bool operator==(const summary_entry& x) const {
return position == x.position && key == x.key;
}
};
// Note: Sampling level is present in versions ka and higher. We ATM only support ka,
// so it's always there. But we need to make this conditional if we ever want to support
// other formats.
struct summary_ka {
struct header {
// The minimum possible amount of indexes per group (sampling level)
uint32_t min_index_interval;
// The number of entries in the Summary File
uint32_t size;
// The memory to be consumed to map the whole Summary into memory.
uint64_t memory_size;
// The actual sampling level.
uint32_t sampling_level;
// The number of entries the Summary *would* have if the sampling
// level would be equal to min_index_interval.
uint32_t size_at_full_sampling;
} header;
// The position in the Summary file for each of the indexes.
// NOTE1 that its actual size is determined by the "size" parameter, not
// by its preceding size_at_full_sampling
// NOTE2: They are laid out in *MEMORY* order, not BE.
// NOTE3: The sizes in this array represent positions in the memory stream,
// not the file. The memory stream effectively begins after the header,
// so every position here has to be added of sizeof(header).
utils::chunked_vector<uint32_t> positions; // can be large, so use a deque instead of a vector
utils::chunked_vector<summary_entry> entries;
disk_string<uint32_t> first_key;
disk_string<uint32_t> last_key;
// NOTE4: There is a structure written by Cassandra into the end of the Summary
// file, after the field last_key, that we haven't understand yet, but we know
// that its content isn't related to the summary itself.
// The structure is basically as follow:
// struct { disk_string<uint16_t>; uint32_t; uint64_t; disk_string<uint16_t>; }
// Another interesting fact about this structure is that it is apparently always
// filled with the same data. It's too early to judge that the data is useless.
// However, it was tested that Cassandra loads successfully a Summary file with
// this structure removed from it. Anyway, let's pay attention to it.
/*
* Returns total amount of memory used by the summary
* Similar to origin off heap size
*/
uint64_t memory_footprint() const {
auto sz = sizeof(summary_entry) * entries.size() + sizeof(uint32_t) * positions.size() + sizeof(*this);
sz += first_key.value.size() + last_key.value.size();
for (auto& sd : _summary_data) {
sz += sd.size();
}
return sz;
}
explicit operator bool() const {
return entries.size();
}
bytes_view add_summary_data(bytes_view data) {
if (_summary_data.empty() || (_summary_index_pos + data.size() > _buffer_size)) {
_buffer_size = std::min(_buffer_size << 1, 128u << 10);
// Keys are 64kB max, so it might be one key may not fit in a buffer
_buffer_size = std::max(_buffer_size, unsigned(data.size()));
_summary_data.emplace_back(_buffer_size);
_summary_index_pos = 0;
}
auto ret = _summary_data.back().store_at(_summary_index_pos, data);
_summary_index_pos += data.size();
return ret;
}
private:
class summary_data_memory {
unsigned _size;
std::unique_ptr<bytes::value_type[]> _data;
public:
summary_data_memory(unsigned size) : _size(size), _data(std::make_unique<bytes::value_type[]>(size)) {}
bytes_view store_at(unsigned pos, bytes_view src) {
auto addr = _data.get() + pos;
std::copy_n(src.data(), src.size(), addr);
return bytes_view(addr, src.size());
}
unsigned size() const {
return _size;
}
};
unsigned _buffer_size = 1 << 10;
std::vector<summary_data_memory> _summary_data = {};
unsigned _summary_index_pos = 0;
};
using summary = summary_ka;
class file_writer;
struct metadata {
virtual ~metadata() {}
virtual uint64_t serialized_size() const = 0;
virtual void write(file_writer& write) const = 0;
};
template <typename T>
uint64_t serialized_size(const T& object);
template <class T>
typename std::enable_if_t<!std::is_integral<T>::value && !std::is_enum<T>::value, void>
write(file_writer& out, const T& t);
// serialized_size() implementation for metadata class
template <typename Component>
class metadata_base : public metadata {
public:
virtual uint64_t serialized_size() const override {
return sstables::serialized_size(static_cast<const Component&>(*this));
}
virtual void write(file_writer& writer) const override {
return sstables::write(writer, static_cast<const Component&>(*this));
}
};
struct validation_metadata : public metadata_base<validation_metadata> {
disk_string<uint16_t> partitioner;
double filter_chance;
template <typename Describer>
auto describe_type(Describer f) { return f(partitioner, filter_chance); }
};
struct compaction_metadata : public metadata_base<compaction_metadata> {
disk_array<uint32_t, uint32_t> ancestors;
disk_array<uint32_t, uint8_t> cardinality;
template <typename Describer>
auto describe_type(Describer f) { return f(ancestors, cardinality); }
};
struct ka_stats_metadata : public metadata_base<ka_stats_metadata> {
utils::estimated_histogram estimated_row_size;
utils::estimated_histogram estimated_column_count;
db::replay_position position;
int64_t min_timestamp;
int64_t max_timestamp;
int32_t max_local_deletion_time;
double compression_ratio;
utils::streaming_histogram estimated_tombstone_drop_time;
uint32_t sstable_level;
uint64_t repaired_at;
disk_array<uint32_t, disk_string<uint16_t>> min_column_names;
disk_array<uint32_t, disk_string<uint16_t>> max_column_names;
bool has_legacy_counter_shards;
template <typename Describer>
auto describe_type(Describer f) {
return f(
estimated_row_size,
estimated_column_count,
position,
min_timestamp,
max_timestamp,
max_local_deletion_time,
compression_ratio,
estimated_tombstone_drop_time,
sstable_level,
repaired_at,
min_column_names,
max_column_names,
has_legacy_counter_shards
);
}
};
using stats_metadata = ka_stats_metadata;
struct disk_token_bound {
uint8_t exclusive; // really a boolean
disk_string<uint16_t> token;
template <typename Describer>
auto describe_type(Describer f) { return f(exclusive, token); }
};
struct disk_token_range {
disk_token_bound left;
disk_token_bound right;
template <typename Describer>
auto describe_type(Describer f) { return f(left, right); }
};
// Scylla-specific sharding information. This is a set of token
// ranges that are spanned by this sstable. When loading the
// sstable, we can see which shards own data in the sstable by
// checking each such range.
struct sharding_metadata {
disk_array<uint32_t, disk_token_range> token_ranges;
template <typename Describer>
auto describe_type(Describer f) { return f(token_ranges); }
};
// Scylla-specific list of features an sstable supports.
enum sstable_feature : uint8_t {
NonCompoundPIEntries = 0, // See #2993
NonCompoundRangeTombstones = 1, // See #2986
End = 2
};
// Scylla-specific features enabled for a particular sstable.
struct sstable_enabled_features {
uint64_t enabled_features;
bool is_enabled(sstable_feature f) const {
return enabled_features & (1 << f);
}
void disable(sstable_feature f) {
enabled_features &= ~(1<< f);
}
template <typename Describer>
auto describe_type(Describer f) { return f(enabled_features); }
};
// Numbers are found on disk, so they do matter. Also, setting their sizes of
// that of an uint32_t is a bit wasteful, but it simplifies the code a lot
// since we can now still use a strongly typed enum without introducing a
// notion of "disk-size" vs "memory-size".
enum class metadata_type : uint32_t {
Validation = 0,
Compaction = 1,
Stats = 2,
};
enum class scylla_metadata_type : uint32_t {
Sharding = 1,
Features = 2,
ExtensionAttributes = 3,
};
struct scylla_metadata {
using extension_attributes = disk_hash<uint32_t, disk_string<uint32_t>, disk_string<uint32_t>>;
disk_set_of_tagged_union<scylla_metadata_type,
disk_tagged_union_member<scylla_metadata_type, scylla_metadata_type::Sharding, sharding_metadata>,
disk_tagged_union_member<scylla_metadata_type, scylla_metadata_type::Features, sstable_enabled_features>,
disk_tagged_union_member<scylla_metadata_type, scylla_metadata_type::ExtensionAttributes, extension_attributes>
> data;
bool has_feature(sstable_feature f) const {
auto features = data.get<scylla_metadata_type::Features, sstable_enabled_features>();
return features && features->is_enabled(f);
}
const extension_attributes* get_extension_attributes() const {
return data.get<scylla_metadata_type::ExtensionAttributes, extension_attributes>();
}
extension_attributes& get_or_create_extension_attributes() {
auto* ext = data.get<scylla_metadata_type::ExtensionAttributes, extension_attributes>();
if (ext == nullptr) {
data.set<scylla_metadata_type::ExtensionAttributes>(extension_attributes{});
ext = data.get<scylla_metadata_type::ExtensionAttributes, extension_attributes>();
}
return *ext;
}
template <typename Describer>
auto describe_type(Describer f) { return f(data); }
};
static constexpr int DEFAULT_CHUNK_SIZE = 65536;
// checksums are generated using adler32 algorithm.
struct checksum {
uint32_t chunk_size;
utils::chunked_vector<uint32_t> checksums;
template <typename Describer>
auto describe_type(Describer f) { return f(chunk_size, checksums); }
};
}
namespace std {
template <>
struct hash<sstables::metadata_type> : enum_hash<sstables::metadata_type> {};
}
namespace sstables {
struct statistics {
disk_hash<uint32_t, metadata_type, uint32_t> hash;
std::unordered_map<metadata_type, std::unique_ptr<metadata>> contents;
};
enum class column_mask : uint8_t {
none = 0x0,
deletion = 0x01,
expiration = 0x02,
counter = 0x04,
counter_update = 0x08,
range_tombstone = 0x10,
shadowable = 0x40
};
inline column_mask operator&(column_mask m1, column_mask m2) {
return column_mask(static_cast<uint8_t>(m1) & static_cast<uint8_t>(m2));
}
inline column_mask operator|(column_mask m1, column_mask m2) {
return column_mask(static_cast<uint8_t>(m1) | static_cast<uint8_t>(m2));
}
}