select * from information_schema.engines where engine = 'rocksdb';
ENGINE SUPPORT COMMENT TRANSACTIONS XA SAVEPOINTS
ROCKSDB DEFAULT RocksDB storage engine YES YES YES
drop table if exists t0,t1,t2,t3;
create table t0 (a int) engine=myisam;
insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1(a int) engine=myisam;
insert into t1 select A.a + B.a* 10 + C.a * 100 from t0 A, t0 B, t0 C;
create table t2 (
pk int primary key,
kp1 int,
kp2 int,
col1 int,
key (kp1,kp2) comment 'cf1'
) engine=rocksdb;
insert into t2 select a,a,a,a from t1;
# Try a basic case:
explain
select * from t2 where kp1 between 1and10and mod(kp2,2)=0;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 range kp1 kp1 5 NULL # Using index condition
select * from t2 where kp1 between 1and10and mod(kp2,2)=0;
pk kp1 kp2 col1 2222 4444 6666 8888 10101010
# Check that ICP doesnt work for columns where column value
# cant be restored from mem-comparable form:
create table t3 (
pk int primary key,
kp1 int,
kp2 varchar(10) collate utf8_general_ci,
col1 int,
key (kp1,kp2) comment 'cf1'
) engine=rocksdb;
insert into t3 select a,a/10,a,a from t1;
# This must not use ICP:
explain
select * from t3 where kp1=3and kp2 like '%foo%';
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t3 ref kp1 kp1 5 const # Using where
explain format=json
select * from t3 where kp1 between 2and4and mod(kp1,3)=0and kp2 like '%foo%';
EXPLAIN
{ "query_block": { "select_id": 1, "cost": "COST_REPLACED", "nested_loop": [
{ "table": { "table_name": "t3", "access_type": "range", "possible_keys": ["kp1"], "key": "kp1", "key_length": "5", "used_key_parts": ["kp1"], "loops": 1, "rows": 1000, "cost": "COST_REPLACED", "filtered": 100, "index_condition": "t3.kp1 between 2 and 4 and t3.kp1 MOD 3 = 0", "attached_condition": "t3.kp2 like '%foo%'"
}
}
]
}
}
# Check that we handle the case where out-of-range is encountered sooner
# than matched index condition
explain
select * from t2 where kp1< 3and kp2+1>50000;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 range kp1 kp1 5 NULL # Using index condition
select * from t2 where kp1< 3and kp2+1>50000;
pk kp1 kp2 col1
explain
select * from t2 where kp1< 3and kp2+1>50000;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 range kp1 kp1 5 NULL # Using index condition
select * from t2 where kp1< 3and kp2+1>50000;
pk kp1 kp2 col1
# Try doing backwards scans
# MariaDB: ICP is not supported for reverse scans.
explain
select * from t2 where kp1 between 1and10and mod(kp2,2)=0 order by kp1 desc;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 range kp1 kp1 5 NULL # Using index condition
select * from t2 where kp1 between 1and10and mod(kp2,2)=0 order by kp1 desc;
pk kp1 kp2 col1 10101010 8888 6666 4444 2222
explain
select * from t2 where kp1 >990and mod(kp2,2)=0 order by kp1 desc;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 range kp1 kp1 5 NULL # Using index condition
select * from t2 where kp1 >990and mod(kp2,2)=0 order by kp1 desc;
pk kp1 kp2 col1 998998998998 996996996996 994994994994 992992992992
explain
select * from t2 where kp1< 3and kp2+1>50000 order by kp1 desc;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t2 range kp1 kp1 5 NULL # Using index condition
select * from t2 where kp1< 3and kp2+1>50000 order by kp1 desc;
pk kp1 kp2 col1
drop table t0,t1,t2,t3;
#
# Check how ICP affects counters
#
# First, some preparations
#
# in facebook/mysql-5.6, it was:
# select ROWS_READ, ROWS_REQUESTED, ROWS_INDEX_FIRST, ROWS_INDEX_NEXT
#
# In MariaDB, we do:
create procedure save_read_stats()
begin set @rr=(select ROWS_READ
from information_schema.table_statistics
where table_name='t4'and table_schema=database()); set @rif= (select VARIABLE_VALUE
from information_schema.session_status
where VARIABLE_NAME='Handler_read_first'); set @rin=(select VARIABLE_VALUE
from information_schema.session_status
where VARIABLE_NAME='Handler_read_next'); set @icp_attempts=(select VARIABLE_VALUE
from information_schema.session_status
where VARIABLE_NAME='Handler_icp_attempts'); set @icp_matches=(select VARIABLE_VALUE
from information_schema.session_status
where VARIABLE_NAME='Handler_icp_match');
end|
create procedure get_read_stats()
begin
select
(select ROWS_READ
from information_schema.table_statistics
where table_name='t4'and table_schema=database()
) - @rr as ROWS_READ_DIFF,
(select VARIABLE_VALUE - @rif
from information_schema.session_status
where VARIABLE_NAME='Handler_read_first') as ROWS_INDEX_FIRST,
(select VARIABLE_VALUE - @rin
from information_schema.session_status
where VARIABLE_NAME='Handler_read_next') as ROWS_INDEX_NEXT,
(select VARIABLE_VALUE - @icp_attempts
from information_schema.session_status
where VARIABLE_NAME='Handler_icp_attempts') as ICP_ATTEMPTS,
(select VARIABLE_VALUE - @icp_matches
from information_schema.session_status
where VARIABLE_NAME='Handler_icp_match') as ICP_MATCHES;
end|
create table t4 (
id int,
id1 int,
id2 int,
value int,
value2 varchar(100),
primary key (id),
key id1_id2 (id1, id2) comment 'cf1'
) engine=rocksdb charset=latin1 collate latin1_bin;
insert into t4 values
(1,1,1,1,1), (2,1,2,2,2), (3,1,3,3,3),(4,1,4,4,4),(5,1,5,5,5),
(6,1,6,6,6), (7,1,7,7,7), (8,1,8,8,8),(9,1,9,9,9),(10,1,10,10,10);
#
# Now, the test itself
#
call save_read_stats();
call get_read_stats();
ROWS_READ_DIFF ROWS_INDEX_FIRST ROWS_INDEX_NEXT ICP_ATTEMPTS ICP_MATCHES 00000
# ============== index-only query ==============
explain
select id1,id2 from t4 force index (id1_id2) where id1=1and id2 % 10 = 1;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t4 ref id1_id2 id1_id2 5 const # Using where; Using index
call save_read_stats();
select id1,id2 from t4 force index (id1_id2) where id1=1and id2 % 10 = 1;
id1 id2 11
call get_read_stats();
ROWS_READ_DIFF 10
ROWS_INDEX_FIRST 0
ROWS_INDEX_NEXT 10
ICP_ATTEMPTS 0
ICP_MATCHES 0
# ============== Query without ICP ============== set optimizer_switch='index_condition_pushdown=off';
explain
select * from t4 force index (id1_id2) where id1=1and id2 % 10 = 1;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t4 ref id1_id2 id1_id2 5 const # Using where
call save_read_stats();
select * from t4 force index (id1_id2) where id1=1and id2 % 10 = 1;
id id1 id2 value value2 11111
call get_read_stats();
ROWS_READ_DIFF 10
ROWS_INDEX_FIRST 0
ROWS_INDEX_NEXT 10
ICP_ATTEMPTS 0
ICP_MATCHES 0
# ============== Query with ICP ============== set optimizer_switch='index_condition_pushdown=on';
explain
select * from t4 force index (id1_id2) where id1=1and id2 % 10 = 1;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t4 ref id1_id2 id1_id2 5 const # Using index condition
call save_read_stats();
select * from t4 force index (id1_id2) where id1=1and id2 % 10 = 1;
id id1 id2 value value2 11111
call get_read_stats();
ROWS_READ_DIFF 1
ROWS_INDEX_FIRST 0
ROWS_INDEX_NEXT 1
ICP_ATTEMPTS 10
ICP_MATCHES 1
drop table t4;
drop procedure save_read_stats;
drop procedure get_read_stats;
#
# Issue #67: Inefficient index condition pushdown
#
create table t0 (a int) engine=myisam;
insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1 (
pk int not null primary key,
key1 bigint(20) unsigned,
col1 int,
key (key1)
) engine=rocksdb;
insert into t1
select
A.a+10*B.a+100*C.a,
A.a+10*B.a+100*C.a, 1234
from t0 A, t0 B, t0 C; set @count=0;
explain
select * from t1 force index(key1) where key1=1;
id select_type table type possible_keys key key_len ref rows Extra 1 SIMPLE t1 ref key1 key1 9 const # set @count_diff =(select (value - @count) from information_schema.rocksdb_perf_context
where table_schema=database() and table_name='t1'and stat_type='INTERNAL_KEY_SKIPPED_COUNT');
select * from t1 force index(key1) where key1=1;
pk key1 col1 111234 set @count_diff =(select (value - @count) from information_schema.rocksdb_perf_context
where table_schema=database() and table_name='t1'and stat_type='INTERNAL_KEY_SKIPPED_COUNT');
# The following must be =1, or in any casenot999:
select @count_diff as "INTERNAL_KEY_SKIPPED_COUNT increment";
INTERNAL_KEY_SKIPPED_COUNT increment 1
drop table t0,t1;
Messung V0.5 in Prozent
¤ Dauer der Verarbeitung: 0.10 Sekunden
(vorverarbeitet am 2026-10-08)
¤
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