Manticore supports basic transactions when performing deleting and insertion into real-time and percolate indexes. That is: each change to an index is first saved into an internal changeset, and then is actually committed to the index. By default each command is wrapped into an individual automatic transaction, making it transparent: you just 'insert' something, and can see the inserted result after it completes, having no care about transactions. However that behaviour can be explicitly managed by starting and committing transactions manually.

Transactions are supported for the following commands:

• INSERT
• REPLACE
• DELETE

Transactions are not supported for:

• UPDATE (which is different from the REPLACE in that it does in-place attribute update).
• ALTER - for updating index schema
• TRUNCATE - for emptying a real-time index
• ATTACH - for attaching a plain index to a real-time index
• CREATE - for creating an index
• DROP - for deleting an index

Please also note, that transactions in Manticore do not aim to provide isolation. The idea of transactions in Manticore is to let you accumulate a number of writes and run them at once at commit or rollback them all if needed. Transactions are integrated with binary log which gives durability and consistency.

SET AUTOCOMMIT = {0 | 1}

SET AUTOCOMMIT controls the autocommit mode in the active session. AUTOCOMMIT is set to 1 by default. With default you have not to care about transactions, since every statement that performs any changes on any index is implicitly wrapped into separate transaction. Setting it to 0 allows you to manage transactions manually. I.e., they will not be visible until you explicitly commit them.

Transactions are limited to a single RT or percolate index, and also limited in size. They are atomic, consistent, overly isolated, and durable. Overly isolated means that the changes are not only invisible to the concurrent transactions but even to the current session itself.

START TRANSACTION | BEGIN
COMMIT
ROLLBACK

BEGIN statement (or its START TRANSACTION alias) forcibly commits pending transaction, if any, and begins a new one.

COMMIT statement commits the current transaction, making all its changes permanent.

ROLLBACK statement rolls back the current transaction, canceling all its changes.

insert into indexrt (id, content, title, channel_id, published) values (1, 'aa', 'blabla', 1, 10);
Query OK, 1 rows affected (0.00 sec)

select * from indexrt where id=1;
+------+------------+-----------+--------+
| id   | channel_id | published | title  |
+------+------------+-----------+--------+
|    1 |          1 |        10 | blabla |
+------+------------+-----------+--------+
1 row in set (0.00 sec)

Inserted value immediately visible by following 'select' statement.

set autocommit=0;
Query OK, 0 rows affected (0.00 sec)

insert into indexrt (id, content, title, channel_id, published) values (3, 'aa', 'bb', 1, 1);
Query OK, 1 row affected (0.00 sec)

insert into indexrt (id, content, title, channel_id, published) values (4, 'aa', 'bb', 1, 1);
Query OK, 1 row affected (0.00 sec)

select * from indexrt where id=3;
Empty set (0.01 sec)

select * from indexrt where id=4;
Empty set (0.00 sec)

Here changes is NOT automatically committed. So, insertion is not visible even in the same session, since they're not committed. Also, despite absent BEGIN statement, transaction is implicitly started.

So, let's finally commit it:

commit;
Query OK, 0 rows affected (0.00 sec)

select * from indexrt where id=4;
+------+------------+-----------+-------+
| id   | channel_id | published | title |
+------+------------+-----------+-------+
|    4 |          1 |         1 | bb    |
+------+------------+-----------+-------+
1 row in set (0.00 sec)

select * from indexrt where id=3;
+------+------------+-----------+-------+
| id   | channel_id | published | title |
+------+------------+-----------+-------+
|    3 |          1 |         1 | bb    |
+------+------------+-----------+-------+
1 row in set (0.00 sec)

Now it is finished and visible.

Using BEGIN and COMMIT you can define bounds of transaction explicitly, so no need to care about autocommit in this case.

begin;
Query OK, 0 rows affected (0.00 sec)

insert into indexrt (id, content, title, channel_id, published) values (2, 'aa', 'bb', 1, 1);
Query OK, 1 row affected (0.00 sec)

select * from indexrt where id=2;
Empty set (0.01 sec)

commit;
Query OK, 0 rows affected (0.01 sec)

select * from indexrt where id=2;
+------+------------+-----------+-------+
| id   | channel_id | published | title |
+------+------------+-----------+-------+
|    2 |          1 |         1 | bb    |
+------+------------+-----------+-------+
1 row in set (0.01 sec)

SET TRANSACTION ISOLATION LEVEL { READ UNCOMMITTED
    | READ COMMITTED
    | REPEATABLE READ
    | SERIALIZABLE }

SET TRANSACTION statement does nothing. It was implemented to maintain compatibility with 3rd party MySQL client libraries, connectors, and frameworks that may need to run this statement when connecting. They just goes across syntax parser and then returns 'ok'. Nothing usable for your own programs, just a stubs to make third-party clients happy.

mysql> SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED;
Query OK, 0 rows affected (0.00 sec)

The MATCH clause allows to perform full-text searches in text fields. The query string at input is tokenized using same settings applied to the text during indexing. In addition to tokenization of input text, the query string supports a number of full-text operators that allow enforcing different rules on how keywords should provide a valid match.

The full-text match clauses can be combined with attribute filters as an AND boolean. OR relation between full-text matches and attribute filters are not supported.

The match query is always executed first in the filtering process, followed by the attribute filters. The attribute filters are applied on the result set of the match query. A query without a match clause is called a fullscan.

There must be at most one MATCH() in the SELECT clause.

Using the full-text query syntax matching is performed over all indexed text fields of a document, unless the expression requires to be match within a field (like phrase search) or limited by field operators.

SELECT * FROM index WHERE MATCH('cats|birds');

SELECT * FROM myindex WHERE MATCH('"find me fast"/2');

+------+------+----------------+
| id   | gid  | title          |
+------+------+----------------+
|    1 |   11 | first find me  |
|    2 |   12 | second find me |
+------+------+----------------+
2 rows in set (0.00 sec)

"query":
{
  "match": { "field": "keyword" }
}

"match":
{
  "field1,field2": "keyword"
}

"match":
{
  "!field1": "keyword"
}

"query":
{
  "match":
  {
    "content,title":
    {
      "query":"keyword",
      "operator":"or"
    }
  }
}

"query":
{
  "match_phrase": { "_all" : "had grown quite" }
}

"query":
{
  "query_string": "Church NOTNEAR/3 street"
}

POST /search
-d
'{   "index" : "myindex",
    "query":
    {
        "match":
        {
            "*" : "find me"
        }
    }
}'

POST /search
-d
'{   "index" : "myindex",
    "query":
    {
        "match_phrase":
        {
            "*" : "find me"
        }
    }
}'

POST /search
-d
'{   "index" : "myindex",
    "query":
    {
        "query_string": "@title \"find me fast \"/2"
    }
}'

$search = new Search(new Client());
$result = $search->('@title find me fast');
foreach($result as $doc)
{
    echo 'Document: '.$doc->getId();
    foreach($doc->getData() as $field=>$value)
    {
        echo $field.': '.$value;
    }
}

searchApi.search({"index":"myindex","query":{"query_string":"@title \"find me fast \"/2"}})

res = await searchApi.search({"index":"myindex","query":{"query_string":"@title \"find me fast \"/2"}});

query = new HashMap<String,Object>();
query.put("query_string","@title \"find me fast \"/2");
searchRequest = new SearchRequest();
searchRequest.setIndex("forum");
searchRequest.setQuery(query);
searchResponse = searchApi.search(searchRequest);

{
  "took":10,
  "timed_out": false,
  "hits":
  {
    "total": 2,
    "hits":
    [
      {
        "_id": "1",
        "_score": 1,
        "_source": {"title":"first find me fast", "gid": 11 }
      },
      {
        "_id": "2",
        "_score": 1,
        "_source": { "title":"second find me fast", "gid": 12 }
      }
    ]
  }
}

{
  "took":10,
  "timed_out": false,
  "hits":
  {
    "total": 2,
    "hits":
    [
      {
        "_id": "1",
        "_score": 1,
        "_source": {"title":"first find me fast", "gid": 11 }
      },
      {
        "_id": "2",
        "_score": 1,
        "_source": { "title":"second find me fast", "gid": 12 }
      }
    ]
  }
}

{
  "took":10,
  "timed_out": false,
  "hits":
  {
    "total": 2,
    "hits":
    [
      {
        "_id": "1",
        "_score": 1,
        "_source": {"title":"first find me fast", "gid": 11 }
      },
      {
        "_id": "2",
        "_score": 1,
        "_source": { "title":"second find me fast", "gid": 12 }
      }
    ]
  }
}

Document: 1
title: first find me fast
gid: 11
Document: 2
title: second find me fast
gid: 12

{'hits': {'hits': [{u'_id': u'1',
                    u'_score': 1,
                    u'_source': {u'title': u'first find me fast', u'gid':11}},
                    {u'_id': u'2',
                    u'_score': 1,
                    u'_source': {u'title': u'second find me fast', u'gid':12}}],
          'total': 2},
 'profile': None,
 'timed_out': False,
 'took': 0}

{"hits": {"hits": [{"_id": "1",
                    "_score": 1,
                    "_source": {"title": "first find me fast", "gid":11}},
                    {"_id": "2",
                    "_score": 1,
                    "_source": {"title": "second find me fast", "gid":12}}],
          "total": 2},
 "profile": None,
 "timed_out": False,
 "took": 0}

class SearchResponse {
    took: 0
    timedOut: false
    hits: class SearchResponseHits {
        total: 2
        hits: [{_id=1, _score=1, _source={title=first find me fast, gid=11}}, {_id=2, _score=1, _source={title=first find me fast, gid=12}}]
        aggregations: null
    }
    profile: null
}