Listing tables
Manticore Search has a single level of hierarchy of tables.
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.
SHOW TABLES
General syntax:
SHOW TABLES [ LIKE pattern ]
SHOW TABLES
statement enumerates all currently active tables along with their types. Existing table types are local
, distributed
, rt
, percolate
and template
.
- SQL
- PHP
- Python
- javascript
- Java
SQL PHP Python javascript Java
SHOW TABLES;
$client->nodes()->table();
utilsApi.sql('SHOW TABLES')
res = await utilsApi.sql('SHOW TABLES');
utilsApi.sql("SHOW TABLES")
Response
+----------+-------------+
| Index | Type |
+----------+-------------+
| dist | distributed |
| plain | local |
| pq | percolate |
| rt | rt |
| template | template |
+----------+-------------+
5 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 tables by name.
- SQL
- PHP
- Python
- javascript
- Java
SQL PHP Python javascript Java
SHOW TABLES LIKE 'pro%';
$client->nodes()->table(['body'=>['pattern'=>'pro%']]);
res = await utilsApi.sql('SHOW TABLES LIKE \'pro%\'');
utilsApi.sql('SHOW TABLES LIKE \'pro%\'')
utilsApi.sql("SHOW TABLES LIKE 'pro%'")
Response
+----------+-------------+
| 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=}
DESCRIBE
{DESC | DESCRIBE} table [ LIKE pattern ]
DESCRIBE
statement lists table 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.
SELECT FROM name.table
You can also see table schema by executing the query select * from <table_name>.table
. The benefit of this method is that you can use WHERE
for filtering:
- SQL
SQL
select * from tbl.table where type='text';
Response
+------+-------+------+----------------+
| id | field | type | properties |
+------+-------+------+----------------+
| 2 | title | text | indexed stored |
+------+-------+------+----------------+
1 row in set (0.00 sec)
You can also do many other things, consider <your_table_name>.table
just a regular Manticore table where the columns are integer and string attributes.
- SQL
SQL
select field from tbl.table;
select field, properties from tbl.table where type in ('text', 'uint');
select * from tbl.table where properties any ('stored');
SHOW CREATE TABLE
SHOW CREATE TABLE name
Prints the CREATE TABLE
statement that creates the named table.
- SQL
SQL
SHOW CREATE TABLE tbl\G
Response
Table: tbl
Create Table: CREATE TABLE tbl (
f text indexed stored
) charset_table='non_cjk,cjk' morphology='icu_chinese'
1 row in set (0.00 sec)
Percolate table schemas
If you apply DESC
statement to a percolate table it will show the outer table schema, i.e. the schema of stored queries. It’s static and the same for all local percolate tables:
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 table 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)
Deleting a table
Deleting a table is performed in 2 steps internally:
- Table is cleared (similar to TRUNCATE)
- All table files are removed from the table folder. All the external table files that were used by the table (such as wordforms, extensions or stopwords) are also deleted. Note that these external files are copied to the table folder when
CREATE TABLE
is used, so the original files specified inCREATE TABLE
will not be deleted.
Deleting a table is possible only when the server is running in the RT mode. It is possible to delete RT tables, PQ tables and distributed tables.
- SQL
- JSON
- PHP
- Python
- javascript
- Java
SQL JSON PHP Python javascript Java
DROP TABLE products;
POST /cli -d "DROP TABLE products"
$params = [ 'index' => 'products' ];
$response = $client->indices()->drop($params);
utilsApi.sql('DROP TABLE products')
res = await utilsApi.sql('DROP TABLE products');
sqlresult = utilsApi.sql("DROP TABLE products");
Response
Query OK, 0 rows affected (0.02 sec)
{
"total":0,
"error":"",
"warning":""
}
Array
(
[total] => 0
[error] =>
[warning] =>
)
{u'error': u'', u'total': 0, u'warning': u''}
{"total":0,"error":"","warning":""}
{total=0, error=, warning=}
Here is the syntax of the DROP TABLE
statement in SQL:
DROP TABLE [IF EXISTS] index_name
When deleting a table via SQL, adding IF EXISTS
can be used to delete the table only if it exists. If you try to delete a non-existing table with the IF EXISTS
option, nothing happens.
When deleting a table via PHP, you can add an optional silent
parameter which works the same as IF EXISTS
.
- SQL
- JSON
- PHP
- Python
- javascript
- Java
SQL JSON PHP Python javascript Java
DROP TABLE IF EXISTS products;
POST /cli -d "DROP TABLE IF EXISTS products"
$params =
[
'index' => 'products',
'body' => ['silent' => true]
];
$client->indices()->drop($params);
utilsApi.sql('DROP TABLE IF EXISTS products')
res = await utilsApi.sql('DROP TABLE IF EXISTS products');
sqlresult = utilsApi.sql("DROP TABLE IF EXISTS products");
Response
{u'error': u'', u'total': 0, u'warning': u''}
{"total":0,"error":"","warning":""}
{total=0, error=, warning=}
Emptying a table
The table can be emptied with a TRUNCATE TABLE
SQL statement or with a truncate()
PHP client function.
Here is the syntax for the SQL statement:
TRUNCATE TABLE index_name [WITH RECONFIGURE]
When this statement is executed, it clears the RT table completely. It disposes the in-memory data, unlinks all the table data files, and releases the associated binary logs.
A table can also be emptied with DELETE FROM index WHERE id>0
, but it’s not recommended as it’s much slower than TRUNCATE
.
- SQL
- JSON
- PHP
- Python
- javascript
- Java
SQL JSON PHP Python javascript Java
TRUNCATE TABLE products;
POST /cli -d "TRUNCATE TABLE products"
$params = [ 'index' => 'products' ];
$response = $client->indices()->truncate($params);
utilsApi.sql('TRUNCATE TABLE products')
res = await utilsApi.sql('TRUNCATE TABLE products');
utilsApi.sql("TRUNCATE TABLE products");
Response
Query OK, 0 rows affected (0.02 sec)
{
"total":0,
"error":"",
"warning":""
}
Array(
[total] => 0
[error] =>
[warning] =>
)
{u'error': u'', u'total': 0, u'warning': u''}
{"total":0,"error":"","warning":""}
{total=0, error=, warning=}
One of the possible uses of this command is before attaching a table.
When RECONFIGURE
option is used new tokenization, morphology, and other text processing settings specified in the config take effect after the table gets cleared. In case the schema declaration in config is different from the table schema the new schema from config got applied after table get cleared.
With this option clearing and reconfiguring a table becomes one atomic operation.
- SQL
- HTTP
- PHP
- Python
- javascript
- Java
SQL HTTP PHP Python javascript Java
TRUNCATE TABLE products with reconfigure;
POST /cli -d "TRUNCATE TABLE products with reconfigure"
$params = [ 'index' => 'products', 'with' => 'reconfigure' ];
$response = $client->indices()->truncate($params);
utilsApi.sql('TRUNCATE TABLE products WITH RECONFIGURE')
res = await utilsApi.sql('TRUNCATE TABLE products WITH RECONFIGURE');
utilsApi.sql("TRUNCATE TABLE products WITH RECONFIGURE");
Response
Query OK, 0 rows affected (0.02 sec)
{
"total":0,
"error":"",
"warning":""
}
Array(
[total] => 0
[error] =>
[warning] =>
)
{u'error': u'', u'total': 0, u'warning': u''}
{"total":0,"error":"","warning":""}
{total=0, error=, warning=}