个人理解(就是目录,就是每页的关键字 + 加关键字所在位置
index(第n个索引,关键字) ,
mrk(偏移,偏移对应的位置offset)
index->mrk->bin)
关键字 | 说明 |
---|---|
index name | 索引别名 |
Index expression | 索引源字段 |
Type | minmax, set, bloom filter,map |
GRANULARITY | 索引粒度 ,如ClickHouse 默认稀疏索引默认是8192 ,我理解 8192*GRANULARITY就是 skip_index.mrk 的block 大小 |
skpidx{index_name}.idx | which contains the ordered expression values) |
skpidx{index_name}.mrk2 | which contains the corresponding offsets into the associated data column files. |
ALTER TABLE [db].table_name [ON CLUSTER cluster] ADD INDEX name expression TYPE type GRANULARITY value [FIRST|AFTER name]
- Adds index description to tables metadata.ALTER TABLE [db].table_name [ON CLUSTER cluster] DROP INDEX name
- Removes index description from tables metadata and deletes index files from disk.ALTER TABLE [db.]table_name [ON CLUSTER cluster] MATERIALIZE INDEX name [IN PARTITION partition_name]
- Rebuilds the secondary index name
for the specified partition_name
. Implemented as a mutation. If IN PARTITION
part is omitted then it rebuilds the index for the whole table data.CREATE TABLE table_name
(
u64 UInt64,
i32 Int32,
s String,
...
INDEX a (u64 * i32, s) TYPE minmax GRANULARITY 3,
INDEX b (u64 * length(s)) TYPE set(1000) GRANULARITY 4
) ENGINE = MergeTree()
SELECT count() FROM table WHERE s < 'z'
SELECT count() FROM table WHERE u64 * i32 == 10 AND u64 * length(s) >= 1234
CREATE TABLE data
(
key Int,
d1 Int,
d1_null Nullable(Int),
INDEX d1_idx d1 TYPE minmax GRANULARITY 1,
INDEX d1_null_idx assumeNotNull(d1_null) TYPE minmax GRANULARITY 1
)
Engine=MergeTree()
ORDER BY key;
SELECT * FROM data_01515;
SELECT * FROM data_01515 SETTINGS force_data_skipping_indices=''; -- query will produce CANNOT_PARSE_TEXT error.
SELECT * FROM data_01515 SETTINGS force_data_skipping_indices='d1_idx'; -- query will produce INDEX_NOT_USED error.
SELECT * FROM data_01515 WHERE d1 = 0 SETTINGS force_data_skipping_indices='d1_idx'; -- Ok.
SELECT * FROM data_01515 WHERE d1 = 0 SETTINGS force_data_skipping_indices='`d1_idx`'; -- Ok (example of full featured parser).
SELECT * FROM data_01515 WHERE d1 = 0 SETTINGS force_data_skipping_indices='`d1_idx`, d1_null_idx'; -- query will produce INDEX_NOT_USED error, since d1_null_idx is not used.
SELECT * FROM data_01515 WHERE d1 = 0 AND assumeNotNull(d1_null) = 0 SETTINGS force_data_skipping_indices='`d1_idx`, d1_null_idx'; -- Ok.
7 支持哪些函数
Function (operator) / Index | primary key | minmax | ngrambf_v1 | tokenbf_v1 | bloom_filter |
---|---|---|---|---|---|
equals (=, ==) | ✔ | ✔ | ✔ | ✔ | ✔ |
notEquals(!=, <>) | ✔ | ✔ | ✔ | ✔ | ✔ |
like | ✔ | ✔ | ✔ | ✔ | ✗ |
notLike | ✔ | ✔ | ✔ | ✔ | ✗ |
startsWith | ✔ | ✔ | ✔ | ✔ | ✗ |
endsWith | ✗ | ✗ | ✔ | ✔ | ✗ |
multiSearchAny | ✗ | ✗ | ✔ | ✗ | ✗ |
in | ✔ | ✔ | ✔ | ✔ | ✔ |
notIn | ✔ | ✔ | ✔ | ✔ | ✔ |
less (<) | ✔ | ✔ | ✗ | ✗ | ✗ |
greater (>) | ✔ | ✔ | ✗ | ✗ | ✗ |
lessOrEquals (<=) | ✔ | ✔ | ✗ | ✗ | ✗ |
greaterOrEquals (>=) | ✔ | ✔ | ✗ | ✗ | ✗ |
empty | ✔ | ✔ | ✗ | ✗ | ✗ |
notEmpty | ✔ | ✔ | ✗ | ✗ | ✗ |
hasToken | ✗ | ✗ | ✗ | ✔ | ✗ |
https://clickhouse.com/docs/en/guides/improving-query-performance/skipping-indexes#skip-best-practices
CREATE TABLE skip_table
(
my_key UInt64,
my_value UInt64
)
ENGINE MergeTree primary key my_key
SETTINGS index_granularity=8192;
INSERT INTO skip_table SELECT number, intDiv(number,4096) FROM numbers(100000000);
SELECT * FROM skip_table WHERE my_value IN (125, 700)
┌─my_key─┬─my_value─┐
│ 512000 │ 125 │
│ 512001 │ 125 │
│ ... | ... |
└────────┴──────────┘
ALTER TABLE skip_table ADD INDEX vix my_value TYPE set(100) GRANULARITY 2;
/*ALTER TABLE xx ADD INDEX game_id_index game_id TYPE bloom_filter(0.01) GRANULARITY 1;*/
ALTER TABLE skip_table MATERIALIZE INDEX vix;
SELECT * FROM skip_table WHERE my_value IN (125, 700)
┌─my_key─┬─my_value─┐
│ 512000 │ 125 │
│ 512001 │ 125 │
│ ... | ... |
└────────┴──────────┘
8192 rows in set. Elapsed: 0.051 sec. Processed 32.77 thousand rows, 360.45 KB (643.75 thousand rows/s., 7.08 MB/s.)
see detail
SET send_logs_level='trace';
<Debug> default.skip_table (933d4b2c-8cea-4bf9-8c93-c56e900eefd1) (SelectExecutor): Index `vix` has dropped 6102/6104 granules.
下方为图形解释,每个稀疏索引为 8192*2 ,索引每2两个Granule为一个Skip Index ,1 Block
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。