mirror of
https://github.com/scylladb/scylladb.git
synced 2026-06-03 13:37:04 +00:00
This will allow expressing lack of information about certain ranges of
rows (including the static row), which will be used in cache to
determine if information in cache is complete or not.
Continuity is represented internally using flags on row entries. The
key range between two consecutive entries is continuous iff
rows_entry::continuous() is true for the later entry. The range
starting after the last entry is assumed to be continuous. The range
corresponding to the key of the entry is continuous iff
rows_entry::dummy() is false.
[tgrabiec:
- based on the following commits:
4a5bf75 - Piotr Jastrzebski : mutation_partition: introduce dummy rows_entry
773070e - Piotr Jastrzebski : mutation_partition: add continuity flag to rows_entry
- documented that partition tombstone is always complete
- require specifying the partition tombstone when creating an incomplete entry
- replaced rows_entry(dummy_tag, ...) constructor with more general
rows_entry(position_in_partition, ...)
- documented continuity semantics on mutation_partition
- fixed _static_row_cached being lost by mutation_partition copy constructors
- fixed conversion to streamed_mutation to ignore dummy entries
- fixed mutation_partition serializer to drop dummy entries
- documented semantics of continuity on mutation_partition level
- dropped assumptions that dummy entries can be only at the last position
- changed equality to ignore continuity completely, rather than
partially (it was not ignoring dummy entries, but ignoring
continuity flag)
- added printout of continuity information in mutation_partition
- fixed handling of empty entries in apply_reversibly() with regards
to continuity; we no longer can remove empty entries before
merging, since that may affect continuity of the right-hand
mutation. Added _erased flag.
- fixed mutation_partition::clustered_row() with dummy==true to not ignore the key
- fixed partition_builder to not ignore continuity
- renamed dummy_tag_t to dummy_tag. _t suffix is reserved.
- standardized all APIs on is_dummy and is_continuous bool_class:es
- replaced add_dummy_entry() with ensure_last_dummy() with safer semantics
- dropped unused remove_dummy_entry()
- simplified and inlined cache_entry::add_dummy_entry()
- fixed mutation_partition(incomplete_tag) constructor to mark all row ranges as discontinuous
]
541 lines
21 KiB
C++
541 lines
21 KiB
C++
/*
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* Copyright (C) 2016 ScyllaDB
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*/
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/*
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* This file is part of Scylla.
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*
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* Scylla is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* Scylla is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with Scylla. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include <seastar/core/thread.hh>
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#include <seastar/tests/test-utils.hh>
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#include "mutation_source_test.hh"
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#include "streamed_mutation.hh"
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#include "frozen_mutation.hh"
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#include "tests/test_services.hh"
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#include "schema_builder.hh"
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#include "total_order_check.hh"
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#include "disk-error-handler.hh"
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thread_local disk_error_signal_type commit_error;
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thread_local disk_error_signal_type general_disk_error;
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void check_order_of_fragments(streamed_mutation sm)
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{
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stdx::optional<position_in_partition> previous;
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position_in_partition::less_compare cmp(*sm.schema());
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auto mf = sm().get0();
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while (mf) {
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if (previous) {
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BOOST_REQUIRE(cmp(*previous, mf->position()));
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}
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previous = position_in_partition(mf->position());
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mf = sm().get0();
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}
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}
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SEASTAR_TEST_CASE(test_mutation_from_streamed_mutation_from_mutation) {
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return seastar::async([] {
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for_each_mutation([&] (const mutation& m) {
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auto get_sm = [&] {
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return streamed_mutation_from_mutation(mutation(m));
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};
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check_order_of_fragments(get_sm());
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auto mopt = mutation_from_streamed_mutation(get_sm()).get0();
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BOOST_REQUIRE(mopt);
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BOOST_REQUIRE_EQUAL(m, *mopt);
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});
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});
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}
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SEASTAR_TEST_CASE(test_abandoned_streamed_mutation_from_mutation) {
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return seastar::async([] {
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for_each_mutation([&] (const mutation& m) {
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auto sm = streamed_mutation_from_mutation(mutation(m));
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sm().get();
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sm().get();
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// We rely on AddressSanitizer telling us if nothing was leaked.
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});
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});
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}
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SEASTAR_TEST_CASE(test_mutation_merger) {
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return seastar::async([] {
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for_each_mutation_pair([&] (const mutation& m1, const mutation& m2, are_equal) {
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if (m1.schema()->version() != m2.schema()->version()) {
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return;
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}
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auto m12 = m1;
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m12.apply(m2);
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auto get_sm = [&] {
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std::vector<streamed_mutation> sms;
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sms.emplace_back(streamed_mutation_from_mutation(mutation(m1)));
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sms.emplace_back(streamed_mutation_from_mutation(mutation(m2.schema(), m1.decorated_key(), m2.partition())));
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return merge_mutations(std::move(sms));
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};
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check_order_of_fragments(get_sm());
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auto mopt = mutation_from_streamed_mutation(get_sm()).get0();
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BOOST_REQUIRE(mopt);
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BOOST_REQUIRE(m12.partition().difference(m1.schema(), mopt->partition()).empty());
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BOOST_REQUIRE(mopt->partition().difference(m1.schema(), m12.partition()).empty());
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});
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});
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}
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// A StreamedMutationConsumer which distributes fragments randomly into several mutations.
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class fragment_scatterer {
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std::vector<mutation>& _mutations;
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size_t _next = 0;
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private:
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template<typename Func>
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void for_each_target(Func&& func) {
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// round-robin
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func(_mutations[_next % _mutations.size()]);
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++_next;
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}
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public:
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fragment_scatterer(std::vector<mutation>& muts)
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: _mutations(muts)
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{ }
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stop_iteration consume(tombstone t) {
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for_each_target([&] (mutation& m) {
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m.partition().apply(t);
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});
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return stop_iteration::no;
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}
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stop_iteration consume(range_tombstone&& rt) {
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for_each_target([&] (mutation& m) {
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m.partition().apply_row_tombstone(*m.schema(), std::move(rt));
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});
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return stop_iteration::no;
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}
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stop_iteration consume(static_row&& sr) {
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for_each_target([&] (mutation& m) {
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m.partition().static_row().apply(*m.schema(), column_kind::static_column, std::move(sr.cells()));
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});
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return stop_iteration::no;
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}
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stop_iteration consume(clustering_row&& cr) {
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for_each_target([&] (mutation& m) {
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auto& dr = m.partition().clustered_row(*m.schema(), std::move(cr.key()));
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dr.apply(cr.tomb());
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dr.apply(cr.marker());
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dr.cells().apply(*m.schema(), column_kind::regular_column, std::move(cr.cells()));
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});
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return stop_iteration::no;
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}
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stop_iteration consume_end_of_partition() {
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return stop_iteration::no;
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}
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};
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SEASTAR_TEST_CASE(test_mutation_merger_conforms_to_mutation_source) {
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return seastar::async([] {
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run_mutation_source_tests([](schema_ptr s, const std::vector<mutation>& partitions) -> mutation_source {
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// We create a mutation source which combines N memtables.
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// The input fragments are spread among the memtables according to some selection logic,
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const int n = 5;
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std::vector<lw_shared_ptr<memtable>> memtables;
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for (int i = 0; i < n; ++i) {
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memtables.push_back(make_lw_shared<memtable>(s));
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}
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for (auto&& m : partitions) {
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std::vector<mutation> muts;
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for (int i = 0; i < n; ++i) {
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muts.push_back(mutation(m.decorated_key(), m.schema()));
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}
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fragment_scatterer c{muts};
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auto sm = streamed_mutation_from_mutation(m);
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do_consume_streamed_mutation_flattened(sm, c).get();
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for (int i = 0; i < n; ++i) {
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memtables[i]->apply(std::move(muts[i]));
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}
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}
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return mutation_source([memtables] (schema_ptr s,
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const dht::partition_range& range,
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const query::partition_slice& slice,
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const io_priority_class& pc,
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tracing::trace_state_ptr trace_state,
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streamed_mutation::forwarding fwd,
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mutation_reader::forwarding fwd_mr)
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{
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std::vector<mutation_reader> readers;
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for (int i = 0; i < n; ++i) {
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readers.push_back(memtables[i]->make_reader(s, range, slice, pc, trace_state, fwd, fwd_mr));
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}
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return make_combined_reader(std::move(readers));
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});
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});
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});
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}
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SEASTAR_TEST_CASE(test_freezing_streamed_mutations) {
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return seastar::async([] {
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storage_service_for_tests ssft;
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for_each_mutation([&] (const mutation& m) {
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auto fm = freeze(streamed_mutation_from_mutation(mutation(m))).get0();
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auto m1 = fm.unfreeze(m.schema());
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BOOST_REQUIRE_EQUAL(m, m1);
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auto fm1 = freeze(m);
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BOOST_REQUIRE(fm.representation() == fm1.representation());
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});
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});
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}
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SEASTAR_TEST_CASE(test_fragmenting_and_freezing_streamed_mutations) {
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return seastar::async([] {
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storage_service_for_tests ssft;
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for_each_mutation([&] (const mutation& m) {
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std::vector<frozen_mutation> fms;
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fragment_and_freeze(streamed_mutation_from_mutation(mutation(m)), [&] (auto fm, bool frag) {
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BOOST_REQUIRE(!frag);
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fms.emplace_back(std::move(fm));
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return make_ready_future<>();
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}, std::numeric_limits<size_t>::max()).get0();
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BOOST_REQUIRE_EQUAL(fms.size(), 1);
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auto m1 = fms.back().unfreeze(m.schema());
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BOOST_REQUIRE_EQUAL(m, m1);
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fms.clear();
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stdx::optional<bool> fragmented;
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fragment_and_freeze(streamed_mutation_from_mutation(mutation(m)), [&] (auto fm, bool frag) {
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BOOST_REQUIRE(!fragmented || *fragmented == frag);
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*fragmented = frag;
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fms.emplace_back(std::move(fm));
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return make_ready_future<>();
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}, 1).get0();
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auto expected_fragments = boost::size(m.partition().non_dummy_rows())
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+ m.partition().row_tombstones().size()
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+ !m.partition().static_row().empty();
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BOOST_REQUIRE_EQUAL(fms.size(), std::max(expected_fragments, size_t(1)));
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BOOST_REQUIRE(expected_fragments < 2 || *fragmented);
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auto m2 = fms.back().unfreeze(m.schema());
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fms.pop_back();
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while (!fms.empty()) {
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m2.partition().apply(*m.schema(), fms.back().partition(), *m.schema());
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fms.pop_back();
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}
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BOOST_REQUIRE_EQUAL(m, m2);
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});
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});
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}
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SEASTAR_TEST_CASE(test_range_tombstones_stream) {
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return seastar::async([] {
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auto s = schema_builder("ks", "cf")
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.with_column("pk", int32_type, column_kind::partition_key)
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.with_column("ck1", int32_type, column_kind::clustering_key)
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.with_column("ck2", int32_type, column_kind::clustering_key)
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.with_column("r", int32_type)
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.build();
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auto pk = partition_key::from_single_value(*s, int32_type->decompose(0));
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auto create_ck = [&] (std::vector<int> v) {
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std::vector<bytes> vs;
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boost::transform(v, std::back_inserter(vs), [] (int x) { return int32_type->decompose(x); });
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return clustering_key_prefix::from_exploded(*s, std::move(vs));
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};
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tombstone t0(0, { });
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tombstone t1(1, { });
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auto rt1 = range_tombstone(create_ck({ 1 }), t0, bound_kind::incl_start, create_ck({ 1, 3 }), bound_kind::incl_end);
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auto rt2 = range_tombstone(create_ck({ 1, 1 }), t1, bound_kind::incl_start, create_ck({ 1, 3 }), bound_kind::excl_end);
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auto rt3 = range_tombstone(create_ck({ 1, 1 }), t0, bound_kind::incl_start, create_ck({ 2 }), bound_kind::incl_end);
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auto rt4 = range_tombstone(create_ck({ 2 }), t0, bound_kind::excl_start, create_ck({ 2, 2 }), bound_kind::incl_end);
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mutation_fragment cr1 = clustering_row(create_ck({ 0, 0 }));
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mutation_fragment cr2 = clustering_row(create_ck({ 1, 0 }));
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mutation_fragment cr3 = clustering_row(create_ck({ 1, 1 }));
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auto cr4 = rows_entry(create_ck({ 1, 2 }));
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auto cr5 = rows_entry(create_ck({ 1, 3 }));
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range_tombstone_stream rts(*s);
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rts.apply(range_tombstone(rt1));
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rts.apply(range_tombstone(rt2));
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rts.apply(range_tombstone(rt4));
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mutation_fragment_opt mf = rts.get_next(cr1);
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BOOST_REQUIRE(!mf);
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mf = rts.get_next(cr2);
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BOOST_REQUIRE(mf && mf->is_range_tombstone());
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auto expected1 = range_tombstone(create_ck({ 1 }), t0, bound_kind::incl_start, create_ck({ 1, 1 }), bound_kind::excl_end);
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BOOST_REQUIRE(mf->as_range_tombstone().equal(*s, expected1));
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mf = rts.get_next(cr2);
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BOOST_REQUIRE(!mf);
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mf = rts.get_next(mutation_fragment(range_tombstone(rt3)));
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BOOST_REQUIRE(mf && mf->is_range_tombstone());
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BOOST_REQUIRE(mf->as_range_tombstone().equal(*s, rt2));
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mf = rts.get_next(cr3);
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BOOST_REQUIRE(!mf);
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mf = rts.get_next(cr4);
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BOOST_REQUIRE(!mf);
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mf = rts.get_next(cr5);
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BOOST_REQUIRE(mf && mf->is_range_tombstone());
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auto expected2 = range_tombstone(create_ck({ 1, 3 }), t0, bound_kind::incl_start, create_ck({ 1, 3 }), bound_kind::incl_end);
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BOOST_REQUIRE(mf->as_range_tombstone().equal(*s, expected2));
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mf = rts.get_next();
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BOOST_REQUIRE(mf && mf->is_range_tombstone());
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BOOST_REQUIRE(mf->as_range_tombstone().equal(*s, rt4));
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mf = rts.get_next();
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BOOST_REQUIRE(!mf);
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});
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}
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SEASTAR_TEST_CASE(test_mutation_hash) {
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return seastar::async([] {
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for_each_mutation_pair([] (auto&& m1, auto&& m2, are_equal eq) {
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auto get_hash = [] (streamed_mutation m) {
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md5_hasher h;
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m.key().feed_hash(h, *m.schema());
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mutation_hasher<md5_hasher> mh(*m.schema(), h);
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consume(m, std::move(mh)).get0();
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return h.finalize();
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};
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auto h1 = get_hash(streamed_mutation_from_mutation(mutation(m1)));
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auto h2 = get_hash(streamed_mutation_from_mutation(mutation(m2)));
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if (eq) {
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if (h1 != h2) {
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BOOST_FAIL(sprint("Hash should be equal for %s and %s", m1, m2));
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}
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} else {
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// We're using a strong hasher, collision should be unlikely
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if (h1 == h2) {
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BOOST_FAIL(sprint("Hash should be different for %s and %s", m1, m2));
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}
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}
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});
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});
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}
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static
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composite cell_name(const schema& s, const clustering_key& ck, const column_definition& col) {
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if (s.is_dense()) {
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return composite::serialize_value(ck.components(s), s.is_compound());
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} else {
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const bytes_view column_name = col.name();
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return composite::serialize_value(boost::range::join(
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boost::make_iterator_range(ck.begin(s), ck.end(s)),
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boost::make_iterator_range(&column_name, &column_name + 1)),
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s.is_compound());
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}
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}
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static
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composite cell_name_for_static_column(const schema& s, const column_definition& cdef) {
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const bytes_view column_name = cdef.name();
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return composite::serialize_static(s, boost::make_iterator_range(&column_name, &column_name + 1));
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}
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inline
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composite composite_for_key(const schema& s, const clustering_key& ck) {
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return composite::serialize_value(ck.components(s), s.is_compound());
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}
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inline
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composite composite_before_key(const schema& s, const clustering_key& ck) {
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return composite::serialize_value(ck.components(s), s.is_compound(), composite::eoc::start);
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}
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inline
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composite composite_after_prefixed(const schema& s, const clustering_key& ck) {
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return composite::serialize_value(ck.components(s), s.is_compound(), composite::eoc::end);
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}
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|
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inline
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position_in_partition position_for_row(const clustering_key& ck) {
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return position_in_partition(position_in_partition::clustering_row_tag_t(), ck);
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}
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|
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inline
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position_in_partition position_before(const clustering_key& ck) {
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return position_in_partition(position_in_partition::range_tag_t(), bound_view(ck, bound_kind::incl_start));
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}
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|
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inline
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position_in_partition position_after_prefixed(const clustering_key& ck) {
|
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return position_in_partition(position_in_partition::range_tag_t(), bound_view(ck, bound_kind::incl_end));
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}
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|
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SEASTAR_TEST_CASE(test_ordering_of_position_in_partition_and_composite_view) {
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return seastar::async([] {
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auto s = schema_builder("ks", "cf")
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.with_column("pk", int32_type, column_kind::partition_key)
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.with_column("ck1", int32_type, column_kind::clustering_key)
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.with_column("ck2", int32_type, column_kind::clustering_key)
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.with_column("s1", int32_type, column_kind::static_column)
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.with_column("v", int32_type)
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.build();
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const column_definition& v_def = *s->get_column_definition("v");
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const column_definition& s_def = *s->get_column_definition("s1");
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|
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auto make_ck = [&] (int ck1, int ck2) {
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std::vector<data_value> cells;
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cells.push_back(data_value(ck1));
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|
cells.push_back(data_value(ck2));
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return clustering_key::from_deeply_exploded(*s, cells);
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|
};
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|
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auto ck1 = make_ck(1, 2);
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auto ck2 = make_ck(2, 1);
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auto ck3 = make_ck(2, 3);
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auto ck4 = make_ck(3, 1);
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|
|
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using cmp = position_in_partition::composite_tri_compare;
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|
total_order_check<cmp, position_in_partition, composite>(cmp(*s))
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|
.next(cell_name_for_static_column(*s, s_def))
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|
.equal_to(position_range::full().start())
|
|
.next(position_before(ck1))
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|
.equal_to(composite_before_key(*s, ck1))
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|
.equal_to(composite_for_key(*s, ck1))
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|
.equal_to(position_for_row(ck1))
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|
.next(cell_name(*s, ck1, v_def))
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|
.next(position_after_prefixed(ck1))
|
|
.equal_to(composite_after_prefixed(*s, ck1))
|
|
.next(position_before(ck2))
|
|
.equal_to(composite_before_key(*s, ck2))
|
|
.equal_to(composite_for_key(*s, ck2))
|
|
.equal_to(position_for_row(ck2))
|
|
.next(cell_name(*s, ck2, v_def))
|
|
.next(position_after_prefixed(ck2))
|
|
.equal_to(composite_after_prefixed(*s, ck2))
|
|
.next(position_before(ck3))
|
|
.equal_to(composite_before_key(*s, ck3))
|
|
.equal_to(composite_for_key(*s, ck3))
|
|
.equal_to(position_for_row(ck3))
|
|
.next(cell_name(*s, ck3, v_def))
|
|
.next(position_after_prefixed(ck3))
|
|
.equal_to(composite_after_prefixed(*s, ck3))
|
|
.next(position_before(ck4))
|
|
.equal_to(composite_before_key(*s, ck4))
|
|
.equal_to(composite_for_key(*s, ck4))
|
|
.equal_to(position_for_row(ck4))
|
|
.next(cell_name(*s, ck4, v_def))
|
|
.next(position_after_prefixed(ck4))
|
|
.equal_to(composite_after_prefixed(*s, ck4))
|
|
.next(position_range::full().end())
|
|
.check();
|
|
});
|
|
}
|
|
|
|
SEASTAR_TEST_CASE(test_ordering_of_position_in_partition_and_composite_view_in_a_dense_table) {
|
|
return seastar::async([] {
|
|
auto s = schema_builder("ks", "cf")
|
|
.with_column("pk", int32_type, column_kind::partition_key)
|
|
.with_column("ck1", int32_type, column_kind::clustering_key)
|
|
.with_column("ck2", int32_type, column_kind::clustering_key)
|
|
.with_column("v", int32_type)
|
|
.set_is_dense(true)
|
|
.build();
|
|
|
|
auto make_ck = [&] (int ck1, stdx::optional<int> ck2 = stdx::nullopt) {
|
|
std::vector<data_value> cells;
|
|
cells.push_back(data_value(ck1));
|
|
if (ck2) {
|
|
cells.push_back(data_value(ck2));
|
|
}
|
|
return clustering_key::from_deeply_exploded(*s, cells);
|
|
};
|
|
|
|
auto ck1 = make_ck(1);
|
|
auto ck2 = make_ck(1, 2);
|
|
auto ck3 = make_ck(2);
|
|
auto ck4 = make_ck(2, 3);
|
|
auto ck5 = make_ck(2, 4);
|
|
auto ck6 = make_ck(3);
|
|
|
|
using cmp = position_in_partition::composite_tri_compare;
|
|
total_order_check<cmp, position_in_partition, composite>(cmp(*s))
|
|
.next(composite())
|
|
.next(position_range::full().start())
|
|
.next(position_before(ck1))
|
|
.equal_to(composite_before_key(*s, ck1))
|
|
.equal_to(composite_for_key(*s, ck1))
|
|
.equal_to(position_for_row(ck1))
|
|
// .next(position_after(ck1)) // FIXME: #1446
|
|
.next(position_before(ck2))
|
|
.equal_to(composite_before_key(*s, ck2))
|
|
.equal_to(composite_for_key(*s, ck2))
|
|
.equal_to(position_for_row(ck2))
|
|
.next(position_after_prefixed(ck2))
|
|
.equal_to(composite_after_prefixed(*s, ck2))
|
|
.next(position_after_prefixed(ck1)) // prefix of ck2
|
|
.equal_to(composite_after_prefixed(*s, ck1))
|
|
.next(position_before(ck3))
|
|
.equal_to(composite_before_key(*s, ck3))
|
|
.equal_to(composite_for_key(*s, ck3))
|
|
.equal_to(position_for_row(ck3))
|
|
// .next(position_after(ck3)) // FIXME: #1446
|
|
.next(position_before(ck4))
|
|
.equal_to(composite_before_key(*s, ck4))
|
|
.equal_to(composite_for_key(*s, ck4))
|
|
.equal_to(position_for_row(ck4))
|
|
.next(position_after_prefixed(ck4))
|
|
.equal_to(composite_after_prefixed(*s, ck4))
|
|
.next(position_before(ck5))
|
|
.equal_to(composite_before_key(*s, ck5))
|
|
.equal_to(composite_for_key(*s, ck5))
|
|
.equal_to(position_for_row(ck5))
|
|
.next(position_after_prefixed(ck5))
|
|
.equal_to(composite_after_prefixed(*s, ck5))
|
|
.next(position_after_prefixed(ck3)) // prefix of ck4-ck5
|
|
.equal_to(composite_after_prefixed(*s, ck3))
|
|
.next(position_before(ck6))
|
|
.equal_to(composite_before_key(*s, ck6))
|
|
.equal_to(composite_for_key(*s, ck6))
|
|
.equal_to(position_for_row(ck6))
|
|
.next(position_after_prefixed(ck6))
|
|
.equal_to(composite_after_prefixed(*s, ck6))
|
|
.next(position_range::full().end())
|
|
.check();
|
|
});
|
|
}
|