Files
scylladb/sstables/partition.cc
Avi Kivity 98ec451d6a Extract range<> into its own header
It's not just for queries any more.
2015-08-02 16:07:42 +03:00

611 lines
24 KiB
C++

/*
* Copyright 2015 Cloudius Systems
*/
#include "mutation.hh"
#include "sstables.hh"
#include "types.hh"
#include "core/future-util.hh"
#include "key.hh"
#include "keys.hh"
#include "core/do_with.hh"
#include "unimplemented.hh"
#include "dht/i_partitioner.hh"
namespace sstables {
/**
* @returns: >= 0, if key is found. That is the index where the key is found.
* -1, if key is not found, and is smaller than the first key in the list.
* <= -2, if key is not found, but is greater than one of the keys. By adding 2 and
* negating, one can determine the index before which the key would have to
* be inserted.
*
* Origin uses this slightly modified binary search for the Summary, that will
* indicate in which bucket the element would be in case it is not a match.
*
* For the Index entries, it uses a "normal", java.lang binary search. Because
* we have made the explicit decision to open code the comparator for
* efficiency, using a separate binary search would be possible, but very
* messy.
*
* It's easier to reuse the same code for both binary searches, and just ignore
* the extra information when not needed.
*
* This code should work in all kinds of vectors in whose's elements is possible to aquire
* a key view via get_key().
*/
template <typename T>
int sstable::binary_search(const T& entries, const key& sk, const dht::token& token) {
int low = 0, mid = entries.size(), high = mid - 1, result = -1;
auto& partitioner = dht::global_partitioner();
while (low <= high) {
// The token comparison should yield the right result most of the time.
// So we avoid expensive copying operations that happens at key
// creation by keeping only a key view, and then manually carrying out
// both parts of the comparison ourselves.
mid = low + ((high - low) >> 1);
key_view mid_key = entries[mid].get_key();
auto mid_token = partitioner.get_token(mid_key);
if (token == mid_token) {
result = sk.tri_compare(mid_key);
} else {
result = token < mid_token ? -1 : 1;
}
if (result > 0) {
low = mid + 1;
} else if (result < 0) {
high = mid - 1;
} else {
return mid;
}
}
return -mid - (result < 0 ? 1 : 2);
}
// Force generation, so we make it available outside this compilation unit without moving that
// much code to .hh
template int sstable::binary_search<>(const std::vector<summary_entry>& entries, const key& sk);
template int sstable::binary_search<>(const std::vector<index_entry>& entries, const key& sk);
static inline bytes pop_back(std::vector<bytes>& vec) {
auto b = std::move(vec.back());
vec.pop_back();
return std::move(b);
}
class mp_row_consumer : public row_consumer {
schema_ptr _schema;
key_view _key;
std::function<future<> (mutation&& m)> _mutation_to_subscription;
struct column {
bool is_static;
bytes_view col_name;
std::vector<bytes> clustering;
// see is_collection. collections have an extra element aside from the name.
// This will be non-zero size if this is a collection, and zero size othersize.
bytes collection_extra_data;
bytes cell;
const column_definition *cdef;
static constexpr size_t static_size = 2;
// For every normal column, we expect the clustering key, followed by the
// extra element for the column name.
//
// For a collection, some auxiliary data will be embedded into the
// column_name as seen by the row consumer. This means that if our
// exploded clustering keys has more rows than expected, we are dealing
// with a collection.
bool is_collection(const schema& s) {
auto expected_normal = s.clustering_key_size() + 1;
// Note that we can have less than the expected. That is the case for
// incomplete prefixes, for instance.
if (clustering.size() <= expected_normal) {
return false;
} else if (clustering.size() == (expected_normal + 1)) {
return true;
}
throw malformed_sstable_exception(sprint("Found %d clustering elements in column name. Was not expecting that!", clustering.size()));
}
static bool check_static(bytes_view col) {
static bytes static_row(static_size, 0xff);
return col.compare(0, static_size, static_row) == 0;
}
static bytes_view fix_static_name(bytes_view col) {
if (check_static(col)) {
col.remove_prefix(static_size);
}
return col;
}
std::vector<bytes> extract_clustering_key(const schema& schema) {
if (!schema.is_compound()) {
return { to_bytes(col_name) };
} else {
return composite_view(col_name).explode();
}
}
column(const schema& schema, bytes_view col)
: is_static(check_static(col))
, col_name(fix_static_name(col))
, clustering(extract_clustering_key(schema))
, collection_extra_data(is_collection(schema) ? pop_back(clustering) : bytes()) // collections are not supported with COMPACT STORAGE, so this is fine
, cell(!schema.is_dense() ? pop_back(clustering) : (*(schema.regular_begin())).name()) // dense: cell name is not provided. It is the only regular column
, cdef(schema.get_column_definition(cell))
{
if (is_static) {
for (auto& e: clustering) {
if (e.size() != 0) {
throw malformed_sstable_exception("Static row has clustering key information. I didn't expect that!");
}
}
}
if (cell.size() && !cdef) {
throw malformed_sstable_exception(sprint("schema does not contain column: %s", cell.c_str()));
}
}
};
// Notes for collection mutation:
//
// While we could in theory generate the mutation for the elements as they
// appear, that would be costly. We would need to keep deserializing and
// serializing them, either explicitly or through a merge.
//
// The best way forward is to accumulate the collection data into a data
// structure, and later on serialize it fully when this (sstable) row ends.
class collection_mutation {
const column_definition *_cdef;
exploded_clustering_prefix _clustering_prefix;
public:
collection_type_impl::mutation cm;
// We need to get a copy of the prefix here, because the outer object may be short lived.
collection_mutation(exploded_clustering_prefix prefix, const column_definition *cdef)
: _cdef(cdef)
, _clustering_prefix(std::move(prefix)) { }
collection_mutation() : _cdef(nullptr) {}
bool is_new_collection(const exploded_clustering_prefix& prefix, const column_definition *c) {
if (prefix.components() != _clustering_prefix.components()) {
return true;
}
if (!_cdef || ((_cdef->id != c->id) || (_cdef->kind != c->kind))) {
return true;
}
return false;
};
void flush(const schema& s, mutation& mut) {
if (!_cdef) {
return;
}
auto ctype = static_pointer_cast<const collection_type_impl>(_cdef->type);
auto ac = atomic_cell_or_collection::from_collection_mutation(ctype->serialize_mutation_form(cm));
if (_cdef->is_static()) {
mut.set_static_cell(*_cdef, std::move(ac));
} else {
auto ckey = clustering_key::from_clustering_prefix(s, _clustering_prefix);
mut.set_clustered_cell(ckey, *_cdef, std::move(ac));
}
}
};
collection_mutation _pending_collection;
collection_mutation& pending_collection(const exploded_clustering_prefix& clustering_prefix, const column_definition *cdef) {
if (_pending_collection.is_new_collection(clustering_prefix, cdef)) {
_pending_collection.flush(*_schema, *mut);
if (!cdef->type->is_multi_cell()) {
throw malformed_sstable_exception("frozen set should behave like a cell\n");
}
_pending_collection = collection_mutation(clustering_prefix, cdef);
}
return _pending_collection;
}
void update_pending_collection(const exploded_clustering_prefix& clustering_prefix, const column_definition *cdef,
bytes&& col, atomic_cell&& ac) {
pending_collection(clustering_prefix, cdef).cm.cells.emplace_back(std::move(col), std::move(ac));
}
void update_pending_collection(const exploded_clustering_prefix& clustering_prefix, const column_definition *cdef, tombstone&& t) {
pending_collection(clustering_prefix, cdef).cm.tomb = std::move(t);
}
public:
mutation_opt mut;
mp_row_consumer(const key& key, const schema_ptr _schema)
: _schema(_schema)
, _key(key_view(key))
, mut(mutation(partition_key::from_exploded(*_schema, key.explode(*_schema)), _schema))
{ }
mp_row_consumer(const schema_ptr _schema)
: _schema(_schema)
{ }
mp_row_consumer(const schema_ptr _schema, std::function<future<> (mutation&& m)> sub_fn)
: _schema(_schema)
, _mutation_to_subscription(sub_fn)
{ }
virtual void consume_row_start(sstables::key_view key, sstables::deletion_time deltime) override {
if (_key.empty()) {
mut = mutation(partition_key::from_exploded(*_schema, key.explode(*_schema)), _schema);
} else if (key != _key) {
throw malformed_sstable_exception(sprint("Key mismatch. Got %s while processing %s", to_hex(bytes_view(key)).c_str(), to_hex(bytes_view(_key)).c_str()));
}
if (!deltime.live()) {
mut->partition().apply(tombstone(deltime));
}
}
atomic_cell make_atomic_cell(uint64_t timestamp, bytes_view value, uint32_t ttl, uint32_t expiration) {
if (ttl) {
return atomic_cell::make_live(timestamp, value,
gc_clock::time_point(gc_clock::duration(expiration)), gc_clock::duration(ttl));
} else {
return atomic_cell::make_live(timestamp, value);
}
}
virtual void consume_cell(bytes_view col_name, bytes_view value, int64_t timestamp, int32_t ttl, int32_t expiration) override {
struct column col(*_schema, col_name);
auto ac = make_atomic_cell(timestamp, value, ttl, expiration);
auto clustering_prefix = exploded_clustering_prefix(std::move(col.clustering));
if (col.collection_extra_data.size()) {
update_pending_collection(clustering_prefix, col.cdef, std::move(col.collection_extra_data), std::move(ac));
return;
}
if (col.is_static) {
mut->set_static_cell(*(col.cdef), std::move(ac));
return;
}
if (col.cell.size() == 0) {
auto clustering_key = clustering_key::from_clustering_prefix(*_schema, clustering_prefix);
auto& dr = mut->partition().clustered_row(clustering_key);
row_marker rm(timestamp, gc_clock::duration(ttl), gc_clock::time_point(gc_clock::duration(expiration)));
dr.apply(rm);
return;
}
mut->set_cell(clustering_prefix, *(col.cdef), atomic_cell_or_collection(std::move(ac)));
}
virtual void consume_deleted_cell(bytes_view col_name, sstables::deletion_time deltime) override {
struct column col(*_schema, col_name);
gc_clock::duration secs(deltime.local_deletion_time);
consume_deleted_cell(col, deltime.marked_for_delete_at, gc_clock::time_point(secs));
}
void consume_deleted_cell(column &col, int64_t timestamp, gc_clock::time_point ttl) {
auto ac = atomic_cell::make_dead(timestamp, ttl);
auto clustering_prefix = exploded_clustering_prefix(std::move(col.clustering));
if (col.collection_extra_data.size()) {
update_pending_collection(clustering_prefix, col.cdef, std::move(col.collection_extra_data), std::move(ac));
} else if (col.is_static) {
mut->set_static_cell(*(col.cdef), atomic_cell_or_collection(std::move(ac)));
} else if (col.cell.size() == 0) {
auto clustering_key = clustering_key::from_clustering_prefix(*_schema, clustering_prefix);
auto& dr = mut->partition().clustered_row(clustering_key);
row_marker rm(tombstone(timestamp, ttl));
dr.apply(rm);
} else {
mut->set_cell(clustering_prefix, *(col.cdef), atomic_cell_or_collection(std::move(ac)));
}
}
virtual proceed consume_row_end() override {
if (mut) {
_pending_collection.flush(*_schema, *mut);
}
return proceed::no;
}
virtual void consume_range_tombstone(
bytes_view start_col, bytes_view end_col,
sstables::deletion_time deltime) override {
check_marker(end_col, composite_marker::end_range);
// Some versions of Cassandra will write a 0 to mark the start of the range.
// CASSANDRA-7593 discusses that.
check_marker(start_col, composite_marker::start_range, composite_marker::none);
// FIXME: CASSANDRA-6237 says support will be added to things like this.
//
// The check below represents a range with a different start and end
// clustering key. Cassandra-generated files (to the moment) will
// generate multi-row deletes, but they always have the same clustering
// key. This is basically because one can't (yet) write delete
// statements in which the WHERE clause looks like WHERE clustering_key >= x.
//
// We don't really have it in our model ATM, so let's just mark this unimplemented.
//
// The only expected difference between them, is the final marker. We
// will remove it from end_col to ease the comparison, but will leave
// start_col untouched to make sure explode() still works.
end_col.remove_suffix(1);
if (start_col.compare(0, end_col.size(), end_col)) {
fail(unimplemented::cause::RANGE_DELETES);
}
auto start = composite_view(column::fix_static_name(start_col)).explode();
// Note how this is slightly different from the check in is_collection. Collection tombstones
// do not have extra data.
//
// Still, it is enough to check if we're dealing with a collection, since any other tombstone
// won't have a full clustering prefix (otherwise it isn't a range)
if (start.size() <= _schema->clustering_key_size()) {
mut->partition().apply_delete(*_schema, exploded_clustering_prefix(std::move(start)), tombstone(deltime));
} else {
auto&& column = pop_back(start);
auto clustering_prefix = exploded_clustering_prefix(std::move(start));
update_pending_collection(clustering_prefix, _schema->get_column_definition(column), tombstone(deltime));
}
}
};
static int adjust_binary_search_index(int idx) {
if (idx < 0) {
// binary search gives us the first index _greater_ than the key searched for,
// i.e., its insertion position
auto gt = (idx + 1) * -1;
idx = gt - 1;
}
return idx;
}
future<uint64_t> sstables::sstable::data_end_position(uint64_t summary_idx, uint64_t index_idx, const index_list& il) {
if (uint64_t(index_idx + 1) < il.size()) {
return make_ready_future<uint64_t>(il[index_idx + 1].position);
}
return data_end_position(summary_idx);
}
future<uint64_t> sstables::sstable::data_end_position(uint64_t summary_idx) {
// We should only go to the end of the file if we are in the last summary group.
// Otherwise, we will determine the end position of the current data read by looking
// at the first index in the next summary group.
if (size_t(summary_idx + 1) >= _summary.entries.size()) {
return make_ready_future<uint64_t>(data_size());
}
return read_indexes(_summary.entries[summary_idx + 1].position, 128).then([] (auto next_il) {
return next_il.front().position;
});
}
future<mutation_opt>
sstables::sstable::read_row(schema_ptr schema, const sstables::key& key) {
assert(schema);
if (!filter_has_key(key)) {
return make_ready_future<mutation_opt>();
}
auto& partitioner = dht::global_partitioner();
auto token = partitioner.get_token(key_view(key));
auto& summary = _summary;
auto summary_idx = adjust_binary_search_index(binary_search(summary.entries, key, token));
if (summary_idx < 0) {
_filter_tracker->local().add_false_positive();
return make_ready_future<mutation_opt>();
}
auto position = _summary.entries[summary_idx].position;
return read_indexes(position).then([this, schema, &key, token, summary_idx] (auto index_list) {
auto index_idx = this->binary_search(index_list, key, token);
if (index_idx < 0) {
_filter_tracker->local().add_false_positive();
return make_ready_future<mutation_opt>();
}
_filter_tracker->local().add_true_positive();
auto position = index_list[index_idx].position;
return this->data_end_position(summary_idx, index_idx, index_list).then([&key, schema, this, position] (uint64_t end) {
return do_with(mp_row_consumer(key, schema), [this, position, end] (auto& c) {
return this->data_consume_rows_at_once(c, position, end).then([&c] {
return make_ready_future<mutation_opt>(std::move(c.mut));
});
});
});
});
}
class mutation_reader::impl {
private:
mp_row_consumer _consumer;
std::experimental::optional<data_consume_context> _context;
std::experimental::optional<future<data_consume_context>> _context_future;
public:
impl(sstable& sst, schema_ptr schema, uint64_t start, uint64_t end)
: _consumer(schema)
, _context(sst.data_consume_rows(_consumer, start, end)) { }
impl(sstable& sst, schema_ptr schema)
: _consumer(schema)
, _context(sst.data_consume_rows(_consumer)) { }
impl(sstable& sst, schema_ptr schema, future<uint64_t> start, future<uint64_t> end)
: _consumer(schema)
, _context_future(start.then([this, &sst, end = std::move(end)] (uint64_t start) mutable {
return end.then([this, &sst, start] (uint64_t end) mutable {
return sst.data_consume_rows(_consumer, start, end);
});
})) { }
impl() : _consumer({}) { }
// Reference to _consumer is passed to data_consume_rows() in the constructor so we must not allow move/copy
impl(impl&&) = delete;
impl(const impl&) = delete;
future<mutation_opt> read() {
if (_context) {
return _context->read().then([this] {
// We want after returning a mutation that _consumer.mut()
// will be left in unengaged state (so on EOF we return an
// unengaged optional). Moving _consumer.mut is *not* enough.
auto ret = std::move(_consumer.mut);
_consumer.mut = {};
return std::move(ret);
});
} else if (_context_future) {
return _context_future->then([this] (auto context) {
_context = std::move(context);
return _context->read().then([this] {
auto ret = std::move(_consumer.mut);
_consumer.mut = {};
return std::move(ret);
});
});
} else {
// empty mutation reader returns EOF immediately
return make_ready_future<mutation_opt>();
}
}
};
mutation_reader::~mutation_reader() = default;
mutation_reader::mutation_reader(mutation_reader&&) = default;
mutation_reader& mutation_reader::operator=(mutation_reader&&) = default;
mutation_reader::mutation_reader(std::unique_ptr<impl> p)
: _pimpl(std::move(p)) { }
future<mutation_opt> mutation_reader::read() {
return _pimpl->read();
}
mutation_reader sstable::read_rows(schema_ptr schema) {
return std::make_unique<mutation_reader::impl>(*this, schema);
}
// Less-comparator for lookups in the partition index.
class index_comparator {
const schema& _s;
public:
index_comparator(const schema& s) : _s(s) {}
int tri_cmp(key_view k2, const dht::ring_position& pos) const {
auto k2_token = dht::global_partitioner().get_token(k2);
if (k2_token == pos.token()) {
if (pos.has_key()) {
return k2.tri_compare(_s, *pos.key());
} else {
return -pos.relation_to_keys();
}
} else {
return k2_token < pos.token() ? -1 : 1;
}
}
bool operator()(const summary_entry& e, const dht::ring_position& rp) const {
return tri_cmp(e.get_key(), rp) < 0;
}
bool operator()(const index_entry& e, const dht::ring_position& rp) const {
return tri_cmp(e.get_key(), rp) < 0;
}
bool operator()(const dht::ring_position& rp, const summary_entry& e) const {
return tri_cmp(e.get_key(), rp) > 0;
}
bool operator()(const dht::ring_position& rp, const index_entry& e) const {
return tri_cmp(e.get_key(), rp) > 0;
}
};
future<uint64_t> sstable::lower_bound(schema_ptr s, const dht::ring_position& pos) {
uint64_t summary_idx = std::distance(std::begin(_summary.entries),
std::lower_bound(_summary.entries.begin(), _summary.entries.end(), pos, index_comparator(*s)));
if (summary_idx == 0) {
return make_ready_future<uint64_t>(0);
}
--summary_idx;
return read_indexes(_summary.entries[summary_idx].position).then([this, s, pos, summary_idx] (index_list il) {
auto i = std::lower_bound(il.begin(), il.end(), pos, index_comparator(*s));
if (i == il.end()) {
return this->data_end_position(summary_idx);
}
return make_ready_future<uint64_t>(i->position);
});
}
future<uint64_t> sstable::upper_bound(schema_ptr s, const dht::ring_position& pos) {
uint64_t summary_idx = std::distance(std::begin(_summary.entries),
std::upper_bound(_summary.entries.begin(), _summary.entries.end(), pos, index_comparator(*s)));
if (summary_idx == 0) {
return make_ready_future<uint64_t>(0);
}
--summary_idx;
return read_indexes(_summary.entries[summary_idx].position).then([this, s, pos, summary_idx] (index_list il) {
auto i = std::upper_bound(il.begin(), il.end(), pos, index_comparator(*s));
if (i == il.end()) {
return this->data_end_position(summary_idx);
}
return make_ready_future<uint64_t>(i->position);
});
}
mutation_reader sstable::read_range_rows(schema_ptr schema,
const dht::token& min_token, const dht::token& max_token) {
if (max_token < min_token) {
return std::make_unique<mutation_reader::impl>();
}
return read_range_rows(std::move(schema),
query::range<dht::ring_position>::make(
dht::ring_position::starting_at(min_token),
dht::ring_position::ending_at(max_token)));
}
mutation_reader
sstable::read_range_rows(schema_ptr schema, const query::partition_range& range) {
if (query::is_wrap_around(range, *schema)) {
fail(unimplemented::cause::WRAP_AROUND);
}
future<uint64_t> start = range.start()
? (range.start()->is_inclusive()
? lower_bound(schema, range.start()->value())
: upper_bound(schema, range.start()->value()))
: make_ready_future<uint64_t>(0);
future<uint64_t> end = range.end()
? (range.end()->is_inclusive()
? upper_bound(schema, range.end()->value())
: lower_bound(schema, range.end()->value()))
: make_ready_future<uint64_t>(data_size());
return std::make_unique<mutation_reader::impl>(
*this, std::move(schema), std::move(start), std::move(end));
}
}