Manticore Search has a single level of hierarchy of indexes.
There is no concept of grouping tables in databases like in other DBMS. Still, Manticore accepts SHOW DATABASES
statements for interoperability with SQL dialect, but the statement doesn't return anything.
While the data collections in Manticore are called indexes, the statement that displays them is SHOW TABLES
for compatibility with miscellaneous SQL clients.
General syntax:
SHOW TABLES [ LIKE pattern ]
SHOW TABLES
statement enumerates all currently active indexes along with their types. Existing index types are local
, distributed
, rt
and template
.
$client->nodes()->table();
utilsApi.sql('mode=raw&query=SHOW TABLES')
res = await utilsApi.sql('mode=raw&query=SHOW TABLES');
utilsApi.sql("mode=raw&query=SHOW TABLES")
+----------+-------------+
| Index | Type |
+----------+-------------+
| dist1 | distributed |
| rt | rt |
| products | rt |
+----------+-------------+
4 rows in set (0.00 sec)
Array
(
[dist1] => distributed
[rt] => rt
[products] => rt
)
{u'columns': [{u'Index': {u'type': u'string'}},
{u'Type': {u'type': u'string'}}],
u'data': [{u'Index': u'dist1', u'Type': u'distributed'},
{u'Index': u'rt', u'Type': u'rt'},
{u'Index': u'products', u'Type': u'rt'}],
u'error': u'',
u'total': 0,
u'warning': u''}
{"columns":[{"Index":{"type":"string"}},{"Type":{"type":"string"}}],"data":[{"Index":"products","Type":"rt"}],"total":0,"error":"","warning":""}
{columns=[{Index={type=string}}, {Type={type=string}}], data=[{Index=products, Type=rt}], total=0, error=, warning=}
Optional LIKE clause is supported for filtering indexes by name.
$client->nodes()->table(['body'=>['pattern'=>'pro%']]);
res = await utilsApi.sql('mode=raw&query=SHOW TABLES LIKE \'pro%\'');
utilsApi.sql('mode=raw&query=SHOW TABLES LIKE \'pro%\'')
utilsApi.sql("mode=raw&query=SHOW TABLES LIKE 'pro%'")
+----------+-------------+
| Index | Type |
+----------+-------------+
| products | distributed |
+----------+-------------+
1 row in set (0.00 sec)
Array
(
[products] => distributed
)
{u'columns': [{u'Index': {u'type': u'string'}},
{u'Type': {u'type': u'string'}}],
u'data': [{u'Index': u'products', u'Type': u'rt'}],
u'error': u'',
u'total': 0,
u'warning': u''}
{"columns":[{"Index":{"type":"string"}},{"Type":{"type":"string"}}],"data":[{"Index":"products","Type":"rt"}],"total":0,"error":"","warning":""}
{columns=[{Index={type=string}}, {Type={type=string}}], data=[{Index=products, Type=rt}], total=0, error=, warning=}
{DESC | DESCRIBE} index [ LIKE pattern ]
DESCRIBE
statement lists index columns and their associated types. Columns are document ID, full-text fields, and attributes. The order matches that in which fields and attributes are expected by INSERT
and REPLACE
statements. Column types are field
, integer
, timestamp
, ordinal
, bool
, float
, bigint
, string
, and mva
. ID column will be typed as bigint
. Example:
mysql> DESC rt;
+---------+---------+
| Field | Type |
+---------+---------+
| id | bigint |
| title | field |
| content | field |
| gid | integer |
+---------+---------+
4 rows in set (0.00 sec)
An optional LIKE clause is supported. Refer to
SHOW META for its syntax details.
SHOW CREATE TABLE name
Prints the CREATE TABLE
statement that creates the named table.
Table: idx
Create Table: CREATE TABLE idx (
f text indexed stored
) charset_table='non_cjk,cjk' morphology='icu_chinese'
1 row in set (0.00 sec)
If you apply DESC
statement to a percolate index it will show the outer index schema, i.e. the schema of stored queries. It's static and the same for all local pq indexes:
mysql> DESC pq;
+---------+--------+
| Field | Type |
+---------+--------+
| id | bigint |
| query | string |
| tags | string |
| filters | string |
+---------+--------+
4 rows in set (0.00 sec)
If you're looking for an expected document schema use
DESC <pq index name> table
:
mysql> DESC pq TABLE;
+-------+--------+
| Field | Type |
+-------+--------+
| id | bigint |
| title | text |
| gid | uint |
+-------+--------+
3 rows in set (0.00 sec)
Also desc pq table like ...
is supported and works as follows:
mysql> desc pq table like '%title%';
+-------+------+----------------+
| Field | Type | Properties |
+-------+------+----------------+
| title | text | indexed stored |
+-------+------+----------------+
1 row in set (0.00 sec)