# The block size influence cost estimates in JSON EXPLAIN.
# To produce the same cost estimates this test can only run with 16K pages.

#
# Default values for cost constants (from the source code)
#
let $row_evaluate_cost= 0.1;
let $key_compare_cost= 0.05;
let $memory_temptable_create_cost= 1.0;
let $memory_temptable_row_cost= 0.1;
let $disk_temptable_create_cost= 20;
let $disk_temptable_row_cost= 0.5;
let $memory_block_read_cost= 0.25;
let $io_block_read_cost= 1.0;

--echo #
--echo # Bug#20443863 USE OF WORST_SEEKS IN FIND_BEST_REF() CAN LEAD TO
--echo #              WRONG QUERY PLAN
--echo #


CREATE TABLE t1 (
  i1 INTEGER,
  i2 INTEGER,
  i3 INTEGER,
  KEY(i1,i2)
) ENGINE=XENGINE;

INSERT INTO t1 VALUES (1, 1, 1), (1, 1, 1),(1, 1, 1),(1, 1, 1),
                      (2, 2, 1), (2, 2, 1),(2, 2, 1),(2, 2, 1),
                      (3, 3, 1), (3, 3, 1),(3, 3, 1),(3, 3, 1);

--disable_query_log
--disable_result_log
ANALYZE TABLE t1;
--enable_result_log
--enable_query_log

# worst_seeks is used for two cases: when the entire index is used and 
# when only a prefix of the index is used. Two get coverage for both cases,
# two almost identical queries are needed.

# Test query for case 1: the entire index is used
let query_1= SELECT i3 FROM t1 WHERE i1 = 1 AND i2 = 1;

# Test query for case 2: only a prefix of the index is used
let query_2= SELECT i3 FROM t1 WHERE i1 = 1 AND i3 = 1;

# Run the queries with default cost constants

# Create a user connection
connect (con1,localhost,root,,);

# Get cost estimates with default values
eval EXPLAIN FORMAT=JSON $query_1;
eval EXPLAIN FORMAT=JSON $query_2;

disconnect con1;
--source include/wait_until_disconnected.inc
connection default;

# Double the value that the cost constants have:
# 1. Replace the NULL in the cost_value column with actual value

# Update server_cost:
eval UPDATE mysql.server_cost
     SET cost_value=$row_evaluate_cost
     WHERE cost_name="row_evaluate_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$key_compare_cost
     WHERE cost_name="key_compare_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$memory_temptable_create_cost
     WHERE cost_name="memory_temptable_create_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$memory_temptable_row_cost
     WHERE cost_name="memory_temptable_row_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$disk_temptable_create_cost
     WHERE cost_name="disk_temptable_create_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$disk_temptable_row_cost
     WHERE cost_name="disk_temptable_row_cost";

# Update engine_cost:
eval UPDATE mysql.engine_cost
     SET cost_value=$memory_block_read_cost
     WHERE cost_name="memory_block_read_cost";

eval UPDATE mysql.engine_cost
     SET cost_value=$io_block_read_cost
     WHERE cost_name="io_block_read_cost";

# 2. Multiply all cost constants by two
UPDATE mysql.server_cost
SET cost_value = 2 * cost_value;

UPDATE mysql.engine_cost
SET cost_value = 2 * cost_value;

# Validate cost constants
SELECT cost_name, cost_value FROM mysql.server_cost;
SELECT cost_name, cost_value FROM mysql.engine_cost;

FLUSH OPTIMIZER_COSTS;

# Re-run the queries with the new cost constants

# Create a user connection
connect (con1,localhost,root,,);

# The new cost estimates should be approximately the double compared to the
# first run
eval EXPLAIN FORMAT=JSON $query_1;
eval EXPLAIN FORMAT=JSON $query_2;

disconnect con1;
--source include/wait_until_disconnected.inc
connection default;

# Reset cost constants
UPDATE mysql.server_cost
SET cost_value=DEFAULT;

UPDATE mysql.engine_cost
SET cost_value=DEFAULT;

FLUSH OPTIMIZER_COSTS;

DROP TABLE t1;

--echo #
--echo # Bug#20947871 INDEX SCAN COST IN TEST_IF_CHEAPER_ORDERING() DOES
--echo #              NOT USE COST CONSTANTS
--echo #

CREATE TABLE t1 (
  pk INTEGER PRIMARY KEY,
  a INTEGER,
  b INTEGER,
  c CHAR(255),
  UNIQUE KEY k1 (a)
);

INSERT INTO t1 VALUES (1, 1, NULL, "Abc"), (2, 2, NULL, "Abc"),
                      (3, 3, NULL, "Abc"), (4, 4, NULL, "Abc");
INSERT INTO t1 SELECT a + 4, a + 4, b, c FROM t1;
INSERT INTO t1 SELECT a + 8, a + 8, b, c FROM t1;
INSERT INTO t1 SELECT a + 16, a + 16, b, c FROM t1;
INSERT INTO t1 SELECT a + 32, a + 32, b, c FROM t1;
INSERT INTO t1 SELECT a + 64, a + 64, b, c FROM t1;
INSERT INTO t1 SELECT a + 128, a + 128, b, c FROM t1;

CREATE TABLE t2 (
  d INTEGER PRIMARY KEY,
  e INTEGER
);

INSERT INTO t2 SELECT a, b FROM t1;

--disable_query_log
--disable_result_log
ANALYZE TABLE t1, t2;
--enable_result_log
--enable_query_log

# Test query: This should do limit optimization and use index without filesort
let query= SELECT * FROM t1 JOIN t2 ON b=d ORDER BY a LIMIT 4;

# Run the query with default cost constants

# Create a user connection
connect (con1,localhost,root,,);

# Get cost estimates with default values
--echo # Query should be optimized for the LIMIT. Query plan should
--echo # use index without filesort
eval EXPLAIN FORMAT=JSON $query;

disconnect con1;
--source include/wait_until_disconnected.inc
connection default;

# Halve the value of the cost constants:
# 1. Replace the NULL in the cost_value column with actual value

# Update server_cost:
eval UPDATE mysql.server_cost
     SET cost_value=$row_evaluate_cost
     WHERE cost_name="row_evaluate_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$key_compare_cost
     WHERE cost_name="key_compare_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$memory_temptable_create_cost
     WHERE cost_name="memory_temptable_create_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$memory_temptable_row_cost
     WHERE cost_name="memory_temptable_row_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$disk_temptable_create_cost
     WHERE cost_name="disk_temptable_create_cost";

eval UPDATE mysql.server_cost
     SET cost_value=$disk_temptable_row_cost
     WHERE cost_name="disk_temptable_row_cost";

# Update engine_cost:
eval UPDATE mysql.engine_cost
     SET cost_value=$memory_block_read_cost
     WHERE cost_name="memory_block_read_cost";

eval UPDATE mysql.engine_cost
     SET cost_value=$io_block_read_cost
     WHERE cost_name="io_block_read_cost";

# 2. Divide all cost constants by two
UPDATE mysql.server_cost
SET cost_value = 0.5 * cost_value;

UPDATE mysql.engine_cost
SET cost_value = 0.5 * cost_value;

# Validate cost constants
SELECT cost_name, cost_value FROM mysql.server_cost;
SELECT cost_name, cost_value FROM mysql.engine_cost;

FLUSH OPTIMIZER_COSTS;

# Re-run the queries with the new cost constants

# Create a user connection
connect (con1,localhost,root,,);

# The new cost estimates should be approximately half compared to the
# first run. The query plan should still be the same.
--echo # This should be optimized for the LIMIT. Query plan should
--echo # use index without filesort
eval EXPLAIN FORMAT=JSON $query;

disconnect con1;
--source include/wait_until_disconnected.inc
connection default;

# Reset cost constants
UPDATE mysql.server_cost
SET cost_value=DEFAULT;

UPDATE mysql.engine_cost
SET cost_value=DEFAULT;

FLUSH OPTIMIZER_COSTS;

DROP TABLE t1, t2;

--echo #
--echo # Bug#23508576 FILL_INDEXES_FROM_DD() DOES NOT INITIALIZE
--echo #              ST_KEY::M_IN_MEMORY_ESTIMATE
--echo #

# Adjust cost constants to be different for reading pages from a memory
# buffer compared to reading from disk.
# Cost for reading pages from memory to 0.5
UPDATE mysql.engine_cost
SET cost_value=0.5
WHERE cost_name="memory_block_read_cost";

# Cost for reading pages from disk to 2.0
UPDATE mysql.engine_cost
SET cost_value=2
WHERE cost_name="io_block_read_cost";

FLUSH OPTIMIZER_COSTS;

# Validate that the cost constants have been updated
SELECT engine_name, device_type, cost_name, cost_value
FROM mysql.engine_cost
WHERE cost_name="memory_block_read_cost"
   OR cost_name="io_block_read_cost";

# Table must be stored in a storage engine that does not provide
# estimates for how much of the index pages that are in a buffer
CREATE TABLE t1 (
  i1 INTEGER,
  c1 CHAR(200),
  INDEX idx (i1)
) ENGINE=MyISAM;

INSERT INTO t1 VALUES (1, "Ullensvang"), (2, "Odda"), (3, "Jondal");

# Create a user connection
connect (con1,localhost,root,,);

--echo # Pass criteria for the query plan:
--echo # 1. Should be executed as an index-only range scan
--echo # 2. Cost estimate: "read_cost" - "eval_cost" should be approximately
--echo #    the cost of reading one page from memory, ie. about 0.5.
EXPLAIN FORMAT=JSON
SELECT i1 FROM t1 WHERE i1 > 1;

disconnect con1;
--source include/wait_until_disconnected.inc
connection default;

DROP TABLE t1;

# Reset cost constants for storage engines to default values
UPDATE mysql.engine_cost
SET cost_value=DEFAULT;

FLUSH OPTIMIZER_COSTS;

--source suite/xengine/include/check_xengine_log_error.inc