CREATE TABLE products(title text, price float) morphology='stem_en';

POST /cli -d "CREATE TABLE products(title text, price float)  morphology='stem_en'"

$index = new \Manticoresearch\Index($client);
$index->setName('products');
$index->create([
    'title'=>['type'=>'text'],
    'price'=>['type'=>'float'],
]);

utilsApi.sql('CREATE TABLE forum(title text, price float)')

res = await utilsApi.sql('CREATE TABLE forum(title text, price float)');

utilsApi.sql("CREATE TABLE forum(title text, price float)");

table products {
  type = rt
  path = tbl
  rt_field = title
  rt_attr_uint = price
  stored_fields = title
}

Query OK, 0 rows affected (0.00 sec)

{
"total":0,
"error":"",
"warning":""
}

• Add documents
• Update attributes and full-text fields
• Delete documents
• Truncate table
• Change schema online with help of the command ALTER
• Define table in a configuration file
• Use UUID for automatic ID provisioning

• Index data with help of indexer
• Link it with sources for easy indexing from external storages
• Update it's killlist_target, it's just not needed as the real-time table takes controls of it automatically

source source {
  type             = mysql
  sql_host         = localhost
  sql_user         = myuser
  sql_pass         = mypass
  sql_db           = mydb
  sql_query        = SELECT id, title, description, category_id  from mytable
  sql_attr_uint    = category_id
  sql_field_string = title
 }

table tbl {
  type   = plain
  source = source
  path   = /path/to/table
 }

Speed of plain indexing depends on several factors:

• how fast the source can be providing the data
• tokenization settings
• your hardware (CPU, amount of RAM, disk performance)

In the simplest usage scenario, we would use a single plain table which we just fully rebuild from time to time. It works fine for smaller data sets and if you are ready that:

• the table will be not as fresh as data in the source
• indexing duration grows with the data, the more data you have in the source the longer it will take to build the table

If you have a bigger data set and still want to use a plain table rather than Real-Time what you can do is:

• make another smaller table for incremental indexing
• combine the both using a distributed table

What it can give is you can rebuild the bigger table seldom (say once per week), save the position of the freshest indexed document and after that use the smaller table to process anything new or updated from your source. Since you will only need to fetch the updates from your storage you can do it much more frequently (say once per minute or even each few seconds).

But after a while the smaller indexing duration will become too high and that will be the moment when you need to rebuild the bigger table and empty the smaller one.

This is called main+delta schema and you can learn more about it in this interactive course.

When you build a smaller "delta" table it can get documents that are already in the "main" table. To let Manticore know that documents from the current table should take precedence there's a mechanism called kill list and corresponding directive killlist_target.

More information on this topic can be found here.