ClickHouse/src/Interpreters/GraceHashJoin.h

#pragma once

#include <Interpreters/Context_fwd.h>
#include <Interpreters/IJoin.h>
#include <Interpreters/TemporaryDataOnDisk.h>

#include <Core/Block.h>

#include <Common/MultiVersion.h>
#include <Common/SharedMutex.h>

#include <mutex>

namespace DB
{
class TableJoin;
class HashJoin;

/**
 * Efficient and highly parallel implementation of external memory JOIN based on HashJoin.
 * Supports most of the JOIN modes, except CROSS and ASOF.
 *
 * The joining algorithm consists of three stages:
 *
 * 1) During the first stage we accumulate blocks of the right table via @addJoinedBlock.
 * Each input block is split into multiple buckets based on the hash of the row join keys.
 * The first bucket is added to the in-memory HashJoin, and the remaining buckets are written to disk for further processing.
 * When the size of HashJoin exceeds the limits, we double the number of buckets.
 * There can be multiple threads calling addJoinedBlock, just like @ConcurrentHashJoin.
 *
 * 2) At the second stage we process left table blocks via @joinBlock.
 * Again, each input block is split into multiple buckets by hash.
 * The first bucket is joined in-memory via HashJoin::joinBlock, and the remaining buckets are written to the disk.
 *
 * 3) When the last thread reading left table block finishes, the last stage begins.
 * Each @DelayedJoinedBlocksTransform calls repeatedly @getDelayedBlocks until there are no more unfinished buckets left.
 * Inside @getDelayedBlocks we select the next unprocessed bucket, load right table blocks from disk into in-memory HashJoin,
 * And then join them with left table blocks.
 *
 * After joining the left table blocks, we can load non-joined rows from the right table for RIGHT/FULL JOINs.
 * Note that non-joined rows are processed in multiple threads, unlike HashJoin/ConcurrentHashJoin/MergeJoin.
 */
class GraceHashJoin final : public IJoin
{
    class FileBucket;
    class DelayedBlocks;
    using InMemoryJoin = HashJoin;

    using InMemoryJoinPtr = std::shared_ptr<InMemoryJoin>;

public:
    using BucketPtr = std::shared_ptr<FileBucket>;
    using Buckets = std::vector<BucketPtr>;

    GraceHashJoin(
        ContextPtr context_, std::shared_ptr<TableJoin> table_join_,
        const Block & left_sample_block_, const Block & right_sample_block_,
        TemporaryDataOnDiskScopePtr tmp_data_,
        bool any_take_last_row_ = false);

    ~GraceHashJoin() override;

    const TableJoin & getTableJoin() const override { return *table_join; }

    void initialize(const Block & sample_block) override;

    bool addJoinedBlock(const Block & block, bool check_limits) override;
    void checkTypesOfKeys(const Block & block) const override;
    void joinBlock(Block & block, std::shared_ptr<ExtraBlock> & not_processed) override;

    void setTotals(const Block & block) override;

    size_t getTotalRowCount() const override;
    size_t getTotalByteCount() const override;
    bool alwaysReturnsEmptySet() const override;

    bool supportParallelJoin() const override { return true; }
    bool supportTotals() const override { return false; }

    IBlocksStreamPtr
    getNonJoinedBlocks(const Block & left_sample_block_, const Block & result_sample_block_, UInt64 max_block_size) const override;

    /// Open iterator over joined blocks.
    /// Must be called after all @joinBlock calls.
    IBlocksStreamPtr getDelayedBlocks() override;
    bool hasDelayedBlocks() const override { return true; }

    static bool isSupported(const std::shared_ptr<TableJoin> & table_join);

private:
    void initBuckets();
    /// Create empty join for in-memory processing.
    /// reserve_num for reserving space in hash table.
    InMemoryJoinPtr makeInMemoryJoin(size_t reserve_num = 0);

    /// Add right table block to the @join. Calls @rehash on overflow.
    void addJoinedBlockImpl(Block block);

    /// Check that join satisfies limits on rows/bytes in table_join.
    bool hasMemoryOverflow(size_t total_rows, size_t total_bytes) const;
    bool hasMemoryOverflow(const InMemoryJoinPtr & hash_join_) const;
    bool hasMemoryOverflow(const BlocksList & blocks) const;

    /// Create new bucket at the end of @destination.
    void addBucket(Buckets & destination);

    /// Increase number of buckets to match desired_size.
    /// Called when HashJoin in-memory table for one bucket exceeds the limits.
    ///
    /// NB: after @rehashBuckets there may be rows that are written to the buckets that they do not belong to.
    /// It is fine; these rows will be written to the corresponding buckets during the third stage.
    Buckets rehashBuckets(size_t to_size);

    /// Perform some bookkeeping after all calls to @joinBlock.
    void startReadingDelayedBlocks();

    size_t getNumBuckets() const;
    Buckets getCurrentBuckets() const;

    /// Structure block to store in the HashJoin according to sample_block.
    Block prepareRightBlock(const Block & block);

    Poco::Logger * log;
    ContextPtr context;
    std::shared_ptr<TableJoin> table_join;
    Block left_sample_block;
    Block right_sample_block;
    Block output_sample_block;
    bool any_take_last_row;
    const size_t max_num_buckets;
    size_t max_block_size;

    Names left_key_names;
    Names right_key_names;

    TemporaryDataOnDiskPtr tmp_data;

    Buckets buckets;
    mutable SharedMutex rehash_mutex;

    FileBucket * current_bucket = nullptr;

    mutable std::mutex current_bucket_mutex;

    InMemoryJoinPtr hash_join;
    Block hash_join_sample_block;
    mutable std::mutex hash_join_mutex;
};

}