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This makes it easier to compare different costs and also allows the optimizer to optimizer different storage engines more reliably. - Added tests/check_costs.pl, a tool to verify optimizer cost calculations. - Most engine costs has been found with this program. All steps to calculate the new costs are documented in Docs/optimizer_costs.txt - User optimizer_cost variables are given in microseconds (as individual costs can be very small). Internally they are stored in ms. - Changed DISK_READ_COST (was DISK_SEEK_BASE_COST) from a hard disk cost (9 ms) to common SSD cost (400MB/sec). - Removed cost calculations for hard disks (rotation etc). - Changed the following handler functions to return IO_AND_CPU_COST. This makes it easy to apply different cost modifiers in ha_..time() functions for io and cpu costs. - scan_time() - rnd_pos_time() & rnd_pos_call_time() - keyread_time() - Enhanched keyread_time() to calculate the full cost of reading of a set of keys with a given number of ranges and optional number of blocks that need to be accessed. - Removed read_time() as keyread_time() + rnd_pos_time() can do the same thing and more. - Tuned cost for: heap, myisam, Aria, InnoDB, archive and MyRocks. Used heap table costs for json_table. The rest are using default engine costs. - Added the following new optimizer variables: - optimizer_disk_read_ratio - optimizer_disk_read_cost - optimizer_key_lookup_cost - optimizer_row_lookup_cost - optimizer_row_next_find_cost - optimizer_scan_cost - Moved all engine specific cost to OPTIMIZER_COSTS structure. - Changed costs to use 'records_out' instead of 'records_read' when recalculating costs. - Split optimizer_costs.h to optimizer_costs.h and optimizer_defaults.h. This allows one to change costs without having to compile a lot of files. - Updated costs for filter lookup. - Use a better cost estimate in best_extension_by_limited_search() for the sorting cost. - Fixed previous issues with 'filtered' explain column as we are now using 'records_out' (min rows seen for table) to calculate filtering. This greatly simplifies the filtering code in JOIN_TAB::save_explain_data(). This change caused a lot of queries to be optimized differently than before, which exposed different issues in the optimizer that needs to be fixed. These fixes are in the following commits. To not have to change the same test case over and over again, the changes in the test cases are done in a single commit after all the critical change sets are done. InnoDB changes: - Updated InnoDB to not divide big range cost with 2. - Added cost for InnoDB (innobase_update_optimizer_costs()). - Don't mark clustered primary key with HA_KEYREAD_ONLY. This will prevent that the optimizer is trying to use index-only scans on the clustered key. - Disabled ha_innobase::scan_time() and ha_innobase::read_time() and ha_innobase::rnd_pos_time() as the default engine cost functions now works good for InnoDB. Other things: - Added --show-query-costs (\Q) option to mysql.cc to show the query cost after each query (good when working with query costs). - Extended my_getopt with GET_ADJUSTED_VALUE which allows one to adjust the value that user is given. This is used to change cost from microseconds (user input) to milliseconds (what the server is internally using). - Added include/my_tracker.h ; Useful include file to quickly test costs of a function. - Use handler::set_table() in all places instead of 'table= arg'. - Added SHOW_OPTIMIZER_COSTS to sys variables. These are input and shown in microseconds for the user but stored as milliseconds. This is to make the numbers easier to read for the user (less pre-zeros). Implemented in 'Sys_var_optimizer_cost' class. - In test_quick_select() do not use index scans if 'no_keyread' is set for the table. This is what we do in other places of the server. - Added THD parameter to Unique::get_use_cost() and check_index_intersect_extension() and similar functions to be able to provide costs to called functions. - Changed 'records' to 'rows' in optimizer_trace. - Write more information to optimizer_trace. - Added INDEX_BLOCK_FILL_FACTOR_MUL (4) and INDEX_BLOCK_FILL_FACTOR_DIV (3) to calculate usage space of keys in b-trees. (Before we used numeric constants). - Removed code that assumed that b-trees has similar costs as binary trees. Replaced with engine calls that returns the cost. - Added Bitmap::find_first_bit() - Added timings to join_cache for ANALYZE table (patch by Sergei Petrunia). - Added records_init and records_after_filter to POSITION to remember more of what best_access_patch() calculates. - table_after_join_selectivity() changed to recalculate 'records_out' based on the new fields from best_access_patch() Bug fixes: - Some queries did not update last_query_cost (was 0). Fixed by moving setting thd->...last_query_cost in JOIN::optimize(). - Write '0' as number of rows for const tables with a matching row. Some internals: - Engine cost are stored in OPTIMIZER_COSTS structure. When a handlerton is created, we also created a new cost variable for the handlerton. We also create a new variable if the user changes a optimizer cost for a not yet loaded handlerton either with command line arguments or with SET @@global.engine.optimizer_cost_variable=xx. - There are 3 global OPTIMIZER_COSTS variables: default_optimizer_costs The default costs + changes from the command line without an engine specifier. heap_optimizer_costs Heap table costs, used for temporary tables tmp_table_optimizer_costs The cost for the default on disk internal temporary table (MyISAM or Aria) - The engine cost for a table is stored in table_share. To speed up accesses the handler has a pointer to this. The cost is copied to the table on first access. If one wants to change the cost one must first update the global engine cost and then do a FLUSH TABLES. This was done to be able to access the costs for an open table without any locks. - When a handlerton is created, the cost are updated the following way: See sql/keycaches.cc for details: - Use 'default_optimizer_costs' as a base - Call hton->update_optimizer_costs() to override with the engines default costs. - Override the costs that the user has specified for the engine. - One handler open, copy the engine cost from handlerton to TABLE_SHARE. - Call handler::update_optimizer_costs() to allow the engine to update cost for this particular table. - There are two costs stored in THD. These are copied to the handler when the table is used in a query: - optimizer_where_cost - optimizer_scan_setup_cost - Simply code in best_access_path() by storing all cost result in a structure. (Idea/Suggestion by Igor)
474 lines
15 KiB
C++
474 lines
15 KiB
C++
/* Copyright (c) 2010, Oracle and/or its affiliates. All rights reserved.
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Copyright (c) 2012, 2020, MariaDB
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; version 2 of the License.
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This program 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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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1335 USA */
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#include "mariadb.h"
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#include "filesort_utils.h"
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#include "sql_const.h"
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#include "sql_sort.h"
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#include "table.h"
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#include "optimizer_defaults.h"
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PSI_memory_key key_memory_Filesort_buffer_sort_keys;
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const LEX_CSTRING filesort_names[]=
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{
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{ STRING_WITH_LEN("priority_queue with addon fields")},
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{ STRING_WITH_LEN("priority_queue with row lookup")},
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{ STRING_WITH_LEN("merge_sort with addon fields")},
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{ STRING_WITH_LEN("merge_sort with row lookup)")},
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{ STRING_WITH_LEN("Error while computing filesort cost")}
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};
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/*
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Different ways to do sorting:
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Merge Sort -> Without addon Fields, with fixed length
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Merge Sort -> Without addon Fields, with dynamic length
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Merge Sort -> With addon Fields, with fixed length
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Merge Sort -> With addon Fields, with dynamic length
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Priority queue -> Without addon fields
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Priority queue -> With addon fields
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With PQ (Priority queue) we could have a simple key (memcmp) or a
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complex key (double & varchar for example). This cost difference
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is currently not considered.
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*/
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/**
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Compute the cost of running qsort over a set of rows.
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@param num_rows How many rows will be sorted.
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@param with_addon_fields Set to true if the sorted rows include the whole
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row (with addon fields) or just the keys themselves.
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@retval
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Cost of the operation.
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*/
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double get_qsort_sort_cost(ha_rows num_rows, bool with_addon_fields)
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{
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const double row_copy_cost= with_addon_fields ? DEFAULT_ROW_COPY_COST :
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DEFAULT_KEY_COPY_COST;
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const double key_cmp_cost= DEFAULT_KEY_COMPARE_COST;
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const double qsort_constant_factor= QSORT_SORT_SLOWNESS_CORRECTION_FACTOR *
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(row_copy_cost + key_cmp_cost);
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return qsort_constant_factor * num_rows * log2(1.0 + num_rows);
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}
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/**
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Compute the cost of sorting num_rows and only retrieving queue_size rows.
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@param num_rows How many rows will be sorted.
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@param queue_size How many rows will be returned by the priority
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queue.
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@param with_addon_fields Set to true if the sorted rows include the whole
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row (with addon fields) or just the keys themselves.
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@retval
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Cost of the operation.
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*/
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double get_pq_sort_cost(size_t num_rows, size_t queue_size,
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bool with_addon_fields)
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{
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const double row_copy_cost= with_addon_fields ? DEFAULT_ROW_COPY_COST :
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DEFAULT_KEY_COPY_COST;
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const double key_cmp_cost= DEFAULT_KEY_COMPARE_COST;
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/* 2 -> 1 insert, 1 pop from the queue*/
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const double pq_sort_constant_factor= PQ_SORT_SLOWNESS_CORRECTION_FACTOR *
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2.0 * (row_copy_cost + key_cmp_cost);
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return pq_sort_constant_factor * num_rows * log2(1.0 + queue_size);
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}
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/**
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Compute the cost of merging "num_buffers" sorted buffers using a priority
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queue.
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See comments for get_merge_buffers_cost().
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*/
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static
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double get_merge_cost(ha_rows num_elements, ha_rows num_buffers,
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size_t elem_size, double compare_cost,
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double disk_read_cost)
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{
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/* 2 -> 1 read + 1 write */
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const double io_cost= (2.0 * (num_elements * elem_size +
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DISK_CHUNK_SIZE - 1) /
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DISK_CHUNK_SIZE) * disk_read_cost;
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/* 2 -> 1 insert, 1 pop for the priority queue used to merge the buffers. */
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const double cpu_cost= (2.0 * num_elements * log2(1.0 + num_buffers) *
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compare_cost) * PQ_SORT_SLOWNESS_CORRECTION_FACTOR;
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return io_cost + cpu_cost;
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}
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/**
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This is a simplified, and faster version of @see get_merge_many_buffs_cost().
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We calculate the cost of merging buffers, by simulating the actions
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of @see merge_many_buff. For explanations of formulas below,
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see comments for get_merge_buffers_cost().
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TODO: Use this function for Unique::get_use_cost().
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*/
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double get_merge_many_buffs_cost_fast(ha_rows num_rows,
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ha_rows num_keys_per_buffer,
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size_t elem_size,
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double key_compare_cost,
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double disk_read_cost,
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bool with_addon_fields)
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{
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DBUG_ASSERT(num_keys_per_buffer != 0);
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ha_rows num_buffers= num_rows / num_keys_per_buffer;
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ha_rows last_n_elems= num_rows % num_keys_per_buffer;
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double total_cost;
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double full_buffer_sort_cost;
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/* Calculate cost for sorting all merge buffers + the last one. */
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full_buffer_sort_cost= get_qsort_sort_cost(num_keys_per_buffer,
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with_addon_fields);
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total_cost= (num_buffers * full_buffer_sort_cost +
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get_qsort_sort_cost(last_n_elems, with_addon_fields));
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if (num_buffers >= MERGEBUFF2)
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total_cost+= TMPFILE_CREATE_COST * 2; // We are creating 2 files.
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/* Simulate behavior of merge_many_buff(). */
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while (num_buffers >= MERGEBUFF2)
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{
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/* Calculate # of calls to merge_buffers(). */
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const ha_rows loop_limit= num_buffers - MERGEBUFF * 3 / 2;
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const ha_rows num_merge_calls= 1 + loop_limit / MERGEBUFF;
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const ha_rows num_remaining_buffs=
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num_buffers - num_merge_calls * MERGEBUFF;
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/* Cost of merge sort 'num_merge_calls'. */
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total_cost+=
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num_merge_calls *
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get_merge_cost(num_keys_per_buffer * MERGEBUFF, MERGEBUFF, elem_size,
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key_compare_cost, disk_read_cost);
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// # of records in remaining buffers.
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last_n_elems+= num_remaining_buffs * num_keys_per_buffer;
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// Cost of merge sort of remaining buffers.
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total_cost+=
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get_merge_cost(last_n_elems, 1 + num_remaining_buffs, elem_size,
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key_compare_cost, disk_read_cost);
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num_buffers= num_merge_calls;
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num_keys_per_buffer*= MERGEBUFF;
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}
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// Simulate final merge_buff call.
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last_n_elems+= num_keys_per_buffer * num_buffers;
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total_cost+= get_merge_cost(last_n_elems, 1 + num_buffers, elem_size,
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key_compare_cost, disk_read_cost);
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return total_cost;
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}
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void Sort_costs::compute_fastest_sort()
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{
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lowest_cost= DBL_MAX;
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uint min_idx= NO_SORT_POSSIBLE_OUT_OF_MEM;
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for (uint i= 0; i < FINAL_SORT_TYPE; i++)
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{
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if (lowest_cost > costs[i])
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{
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min_idx= i;
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lowest_cost= costs[i];
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}
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}
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fastest_sort= static_cast<enum sort_type>(min_idx);
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}
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/*
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Calculate cost of using priority queue for filesort.
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There are two options: using addon fields or not
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*/
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void Sort_costs::compute_pq_sort_costs(Sort_param *param, ha_rows num_rows,
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size_t memory_available,
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bool with_addon_fields)
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{
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/*
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Implementation detail of PQ. To be able to keep a PQ of size N we need
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N+1 elements allocated so we can use the last element as "swap" space
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for the "insert" operation.
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TODO(cvicentiu): This should be left as an implementation detail inside
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the PQ, not have the optimizer take it into account.
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*/
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size_t queue_size= param->limit_rows + 1;
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size_t row_length, num_available_keys;
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costs[PQ_SORT_ALL_FIELDS]= DBL_MAX;
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costs[PQ_SORT_ORDER_BY_FIELDS]= DBL_MAX;
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/*
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We can't use priority queue if there's no limit or the limit is
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too big.
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*/
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if (param->limit_rows == HA_POS_ERROR ||
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param->limit_rows >= UINT_MAX - 2)
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return;
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/* Calculate cost without addon keys (probably using less memory) */
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row_length= param->sort_length + param->ref_length + sizeof(char*);
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num_available_keys= memory_available / row_length;
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if (queue_size < num_available_keys)
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{
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costs[PQ_SORT_ORDER_BY_FIELDS]=
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get_pq_sort_cost(num_rows, queue_size, false) +
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param->sort_form->file->ha_rnd_pos_call_time(MY_MIN(queue_size - 1, num_rows));
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}
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/* Calculate cost with addon fields */
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if (with_addon_fields)
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{
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row_length= param->rec_length + sizeof(char *);
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num_available_keys= memory_available / row_length;
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if (queue_size < num_available_keys)
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costs[PQ_SORT_ALL_FIELDS]= get_pq_sort_cost(num_rows, queue_size, true);
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}
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}
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/*
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Calculate cost of using qsort optional merge sort for resolving filesort.
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There are two options: using addon fields or not
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*/
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void Sort_costs::compute_merge_sort_costs(Sort_param *param,
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ha_rows num_rows,
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size_t memory_available,
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bool with_addon_fields)
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{
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size_t row_length= param->sort_length + param->ref_length + sizeof(char *);
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size_t num_available_keys= memory_available / row_length;
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costs[MERGE_SORT_ALL_FIELDS]= DBL_MAX;
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costs[MERGE_SORT_ORDER_BY_FIELDS]= DBL_MAX;
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if (num_available_keys)
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costs[MERGE_SORT_ORDER_BY_FIELDS]=
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get_merge_many_buffs_cost_fast(num_rows, num_available_keys,
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row_length, DEFAULT_KEY_COMPARE_COST,
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default_optimizer_costs.disk_read_cost,
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false) +
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param->sort_form->file->ha_rnd_pos_call_time(MY_MIN(param->limit_rows,
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num_rows));
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if (with_addon_fields)
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{
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/* Compute cost of merge sort *if* we strip addon fields. */
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row_length= param->rec_length + sizeof(char *);
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num_available_keys= memory_available / row_length;
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if (num_available_keys)
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costs[MERGE_SORT_ALL_FIELDS]=
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get_merge_many_buffs_cost_fast(num_rows, num_available_keys,
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row_length, DEFAULT_KEY_COMPARE_COST,
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DISK_READ_COST_THD(thd),
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true);
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}
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/*
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TODO(cvicentiu) we do not handle dynamic length fields yet.
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The code should decide here if the format is FIXED length or DYNAMIC
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and fill in the appropriate costs.
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*/
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}
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void Sort_costs::compute_sort_costs(Sort_param *param, ha_rows num_rows,
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size_t memory_available,
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bool with_addon_fields)
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{
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compute_pq_sort_costs(param, num_rows, memory_available,
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with_addon_fields);
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compute_merge_sort_costs(param, num_rows, memory_available,
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with_addon_fields);
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compute_fastest_sort();
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}
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/*
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alloc_sort_buffer()
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Allocate buffer for sorting keys.
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Try to reuse old buffer if possible.
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@return
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0 Error
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# Pointer to allocated buffer
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*/
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uchar *Filesort_buffer::alloc_sort_buffer(uint num_records,
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uint record_length)
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{
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size_t buff_size;
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DBUG_ENTER("alloc_sort_buffer");
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DBUG_EXECUTE_IF("alloc_sort_buffer_fail",
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DBUG_SET("+d,simulate_out_of_memory"););
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buff_size= ALIGN_SIZE(num_records * (record_length + sizeof(uchar*)));
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if (m_rawmem)
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{
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/*
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Reuse old buffer if exists and is large enough
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Note that we don't make the buffer smaller, as we want to be
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prepared for next subquery iteration.
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*/
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if (buff_size > m_size_in_bytes)
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{
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/*
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Better to free and alloc than realloc as we don't have to remember
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the old values
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*/
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my_free(m_rawmem);
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if (!(m_rawmem= (uchar*) my_malloc(key_memory_Filesort_buffer_sort_keys,
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buff_size, MYF(MY_THREAD_SPECIFIC))))
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{
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m_size_in_bytes= 0;
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DBUG_RETURN(0);
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}
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}
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}
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else
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{
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if (!(m_rawmem= (uchar*) my_malloc(key_memory_Filesort_buffer_sort_keys,
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buff_size, MYF(MY_THREAD_SPECIFIC))))
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{
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m_size_in_bytes= 0;
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DBUG_RETURN(0);
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}
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}
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m_size_in_bytes= buff_size;
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m_record_pointers= reinterpret_cast<uchar**>(m_rawmem) +
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((m_size_in_bytes / sizeof(uchar*)) - 1);
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m_num_records= num_records;
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m_record_length= record_length;
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m_idx= 0;
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DBUG_RETURN(m_rawmem);
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}
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void Filesort_buffer::free_sort_buffer()
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{
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my_free(m_rawmem);
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*this= Filesort_buffer();
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}
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void Filesort_buffer::sort_buffer(const Sort_param *param, uint count)
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{
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size_t size= param->sort_length;
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m_sort_keys= get_sort_keys();
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if (count <= 1 || size == 0)
|
|
return;
|
|
|
|
// don't reverse for PQ, it is already done
|
|
if (!param->using_pq)
|
|
reverse_record_pointers();
|
|
|
|
uchar **buffer= NULL;
|
|
if (!param->using_packed_sortkeys() &&
|
|
radixsort_is_applicable(count, param->sort_length) &&
|
|
(buffer= (uchar**) my_malloc(PSI_INSTRUMENT_ME, count*sizeof(char*),
|
|
MYF(MY_THREAD_SPECIFIC))))
|
|
{
|
|
radixsort_for_str_ptr(m_sort_keys, count, param->sort_length, buffer);
|
|
my_free(buffer);
|
|
return;
|
|
}
|
|
|
|
my_qsort2(m_sort_keys, count, sizeof(uchar*),
|
|
param->get_compare_function(),
|
|
param->get_compare_argument(&size));
|
|
}
|
|
|
|
|
|
static
|
|
size_t get_sort_length(THD *thd, Item_field *item)
|
|
{
|
|
SORT_FIELD_ATTR sort_attr;
|
|
sort_attr.type= ((item->field)->is_packable() ?
|
|
SORT_FIELD_ATTR::VARIABLE_SIZE :
|
|
SORT_FIELD_ATTR::FIXED_SIZE);
|
|
item->type_handler()->sort_length(thd, item, &sort_attr);
|
|
|
|
return sort_attr.length + (item->maybe_null() ? 1 : 0);
|
|
}
|
|
|
|
|
|
/**
|
|
Calculate the cost of doing a filesort
|
|
|
|
@param table Table to sort
|
|
@param Order_by Fields to sort
|
|
@param rows_to_read Number of rows to be sorted
|
|
@param limit_rows Number of rows in result (when using limit)
|
|
@param used_sort_type Set to the sort algorithm used
|
|
|
|
@result cost of sorting
|
|
*/
|
|
|
|
|
|
double cost_of_filesort(TABLE *table, ORDER *order_by, ha_rows rows_to_read,
|
|
ha_rows limit_rows, enum sort_type *used_sort_type)
|
|
{
|
|
THD *thd= table->in_use;
|
|
Sort_costs costs;
|
|
Sort_param param;
|
|
size_t memory_available= (size_t) thd->variables.sortbuff_size;
|
|
uint sort_len= 0;
|
|
uint addon_field_length, num_addon_fields, num_nullable_fields;
|
|
uint packable_length;
|
|
bool with_addon_fields;
|
|
|
|
for (ORDER *ptr= order_by; ptr ; ptr= ptr->next)
|
|
{
|
|
Item_field *field= (Item_field*) (*ptr->item)->real_item();
|
|
size_t length= get_sort_length(thd, field);
|
|
set_if_smaller(length, thd->variables.max_sort_length);
|
|
sort_len+= (uint) length;
|
|
}
|
|
|
|
with_addon_fields=
|
|
filesort_use_addons(table, sort_len, &addon_field_length,
|
|
&num_addon_fields, &num_nullable_fields,
|
|
&packable_length);
|
|
|
|
/* Fill in the Sort_param structure so we can compute the sort costs */
|
|
param.setup_lengths_and_limit(table, sort_len, addon_field_length,
|
|
limit_rows);
|
|
|
|
costs.compute_sort_costs(¶m, rows_to_read, memory_available,
|
|
with_addon_fields);
|
|
|
|
*used_sort_type= costs.fastest_sort;
|
|
return costs.lowest_cost;
|
|
}
|