We use bytes for many different things, and it is easy to get confused as to what format the data is actually in. Fix that for atomic_cell by proving wrappers. atomic_cell::one corresponds to a bytes object holding exactly one atomic cell, and atomic_cell::view is a bytes_view to an atomic_cell. The static functions of atomic_cell itself are privatized to prevent the unwashed masses from using them on the wrong objects. Since a row entry can hold either a an atomic cell, or a collection, depending on the schema, also introduce a variant type atomic_cell_or_collection and allow the user to pick the type explicitly. Internally both are stored as bytes object.
122 lines
4.3 KiB
C++
122 lines
4.3 KiB
C++
/*
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*
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* Copyright 2015 Cloudius Systems
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*
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* Modified by Cloudius Systems
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*/
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#ifndef CQL3_UPDATE_PARAMETERS_HH
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#define CQL3_UPDATE_PARAMETERS_HH
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#include "database.hh"
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#include "exceptions/exceptions.hh"
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namespace cql3 {
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/**
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* A simple container that simplify passing parameters for collections methods.
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*/
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class update_parameters final {
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public:
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using prefetched_rows_type = std::experimental::optional<
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std::unordered_map<partition_key, row, serialized_hash, serialized_equal>>;
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private:
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const gc_clock::duration _ttl;
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const prefetched_rows_type _prefetched; // For operation that require a read-before-write
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public:
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const api::timestamp_type _timestamp;
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const gc_clock::time_point _local_deletion_time;
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const schema_ptr _schema;
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const query_options& _options;
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update_parameters(const schema_ptr schema_, const query_options& options,
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api::timestamp_type timestamp, gc_clock::duration ttl, prefetched_rows_type prefetched)
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: _ttl(ttl)
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, _prefetched(std::move(prefetched))
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, _timestamp(timestamp)
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, _local_deletion_time(gc_clock::now())
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, _schema(std::move(schema_))
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, _options(options)
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{
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// We use MIN_VALUE internally to mean the absence of of timestamp (in Selection, in sstable stats, ...), so exclude
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// it to avoid potential confusion.
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if (timestamp < api::min_timestamp || timestamp > api::max_timestamp) {
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throw exceptions::invalid_request_exception(sprint("Out of bound timestamp, must be in [%d, %d]",
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api::min_timestamp, api::max_timestamp));
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}
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}
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atomic_cell::one make_dead_cell() const {
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return atomic_cell::one::make_dead(_timestamp, _local_deletion_time);
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}
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atomic_cell::one make_cell(bytes_view value) const {
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auto ttl = _ttl;
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if (ttl.count() <= 0) {
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ttl = _schema->default_time_to_live;
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}
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return atomic_cell::one::make_live(_timestamp,
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ttl.count() > 0 ? ttl_opt{_local_deletion_time + ttl} : ttl_opt{}, value);
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};
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#if 0
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public Cell makeCounter(CellName name, long delta) throws InvalidRequestException
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{
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QueryProcessor.validateCellName(name, metadata.comparator);
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return new BufferCounterUpdateCell(name, delta, FBUtilities.timestampMicros());
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}
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#endif
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tombstone make_tombstone() const {
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return {_timestamp, _local_deletion_time};
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}
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#if 0
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public RangeTombstone makeRangeTombstone(ColumnSlice slice) throws InvalidRequestException
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{
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QueryProcessor.validateComposite(slice.start, metadata.comparator);
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QueryProcessor.validateComposite(slice.finish, metadata.comparator);
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return new RangeTombstone(slice.start, slice.finish, timestamp, localDeletionTime);
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}
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public RangeTombstone makeTombstoneForOverwrite(ColumnSlice slice) throws InvalidRequestException
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{
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QueryProcessor.validateComposite(slice.start, metadata.comparator);
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QueryProcessor.validateComposite(slice.finish, metadata.comparator);
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return new RangeTombstone(slice.start, slice.finish, timestamp - 1, localDeletionTime);
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}
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public List<Cell> getPrefetchedList(ByteBuffer rowKey, ColumnIdentifier cql3ColumnName)
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{
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if (prefetchedLists == null)
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return Collections.emptyList();
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CQL3Row row = prefetchedLists.get(rowKey);
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return row == null ? Collections.<Cell>emptyList() : row.getMultiCellColumn(cql3ColumnName);
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}
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#endif
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};
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}
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#endif
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