--- slug: /en/engines/table-engines/integrations/mongodb sidebar_position: 135 sidebar_label: MongoDB --- # MongoDB MongoDB engine is read-only table engine which allows to read data from remote [MongoDB](https://www.mongodb.com/) collection. Only MongoDB v3.6+ servers are supported. [Seed list(`mongodb**+srv**`)](https://www.mongodb.com/docs/manual/reference/glossary/#std-term-seed-list) is not yet supported. :::note If you're facing troubles, please report the issue, and try to use [the legacy implementation](../../../operations/server-configuration-parameters/settings.md#use_legacy_mongodb_integration). Keep in mind that it is deprecated, and will be removed in next releases. ::: ## Creating a Table {#creating-a-table} ``` sql CREATE TABLE [IF NOT EXISTS] [db.]table_name ( name1 [type1], name2 [type2], ... ) ENGINE = MongoDB(host:port, database, collection, user, password [, options]); ``` **Engine Parameters** - `host:port` — MongoDB server address. - `database` — Remote database name. - `collection` — Remote collection name. - `user` — MongoDB user. - `password` — User password. - `options` — MongoDB connection string options (optional parameter). :::tip If you are using the MongoDB Atlas cloud offering connection url can be obtained from 'Atlas SQL' option. Seed list(`mongodb**+srv**`) is not yet supported, but will be added in future releases. ::: Also, you can simply pass a URI: ``` sql ENGINE = MongoDB(uri, collection); ``` **Engine Parameters** - `uri` — MongoDB server's connection URI - `collection` — Remote collection name. ## Types mappings | MongoDB | ClickHouse | |--------------------|-----------------------------------------------------------------------| | bool, int32, int64 | *any numeric type*, String | | double | Float64, String | | date | Date, Date32, DateTime, DateTime64, String | | string | String, UUID | | document | String(as JSON) | | array | Array, String(as JSON) | | oid | String | | binary | String if in column, base64 encoded string if in an array or document | | *any other* | String | If key is not found in MongoDB document (for example, column name doesn't match), default value or `NULL` (if the column is nullable) will be inserted. ## Supported clauses Only queries with simple expressions are supported (for example, `WHERE field = ORDER BY field2 LIMIT `). Such expressions are translated to MongoDB query language and executed on the server side. You can disable all these restriction, using [mongodb_throw_on_unsupported_query](../../../operations/settings/settings.md#mongodb_throw_on_unsupported_query). In that case ClickHouse tries to convert query on best effort basis, but it can lead to full table scan and processing on ClickHouse side. :::note It's always better to explicitly set type of literal because Mongo requires strict typed filters.\ For example you want to filter by `Date`: ```sql SELECT * FROM mongo_table WHERE date = '2024-01-01' ``` This will not work because Mongo will not cast string to `Date`, so you need to cast it manually: ```sql SELECT * FROM mongo_table WHERE date = '2024-01-01'::Date OR date = toDate('2024-01-01') ``` This applied for `Date`, `Date32`, `DateTime`, `Bool`, `UUID`. ::: ## Usage Example {#usage-example} Assuming MongoDB has [sample_mflix](https://www.mongodb.com/docs/atlas/sample-data/sample-mflix) dataset loaded Create a table in ClickHouse which allows to read data from MongoDB collection: ``` sql CREATE TABLE sample_mflix_table ( _id String, title String, plot String, genres Array(String), directors Array(String), writers Array(String), released Date, imdb String, year String, ) ENGINE = MongoDB('mongodb://:@atlas-sql-6634be87cefd3876070caf96-98lxs.a.query.mongodb.net/sample_mflix?ssl=true&authSource=admin', 'movies'); ``` Query: ``` sql SELECT count() FROM sample_mflix_table ``` ``` text ┌─count()─┐ 1. │ 21349 │ └─────────┘ ``` ```SQL -- JSONExtractString cannot be pushed down to MongoDB SET mongodb_throw_on_unsupported_query = 0; -- Find all 'Back to the Future' sequels with rating > 7.5 SELECT title, plot, genres, directors, released FROM sample_mflix_table WHERE title IN ('Back to the Future', 'Back to the Future Part II', 'Back to the Future Part III') AND toFloat32(JSONExtractString(imdb, 'rating')) > 7.5 ORDER BY year FORMAT Vertical; ``` ```text Row 1: ────── title: Back to the Future plot: A young man is accidentally sent 30 years into the past in a time-traveling DeLorean invented by his friend, Dr. Emmett Brown, and must make sure his high-school-age parents unite in order to save his own existence. genres: ['Adventure','Comedy','Sci-Fi'] directors: ['Robert Zemeckis'] released: 1985-07-03 Row 2: ────── title: Back to the Future Part II plot: After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip. genres: ['Action','Adventure','Comedy'] directors: ['Robert Zemeckis'] released: 1989-11-22 ``` ```SQL -- Find top 3 movies based on Cormac McCarthy's books SELECT title, toFloat32(JSONExtractString(imdb, 'rating')) as rating FROM sample_mflix_table WHERE arrayExists(x -> x like 'Cormac McCarthy%', writers) ORDER BY rating DESC LIMIT 3; ``` ```text ┌─title──────────────────┬─rating─┐ 1. │ No Country for Old Men │ 8.1 │ 2. │ The Sunset Limited │ 7.4 │ 3. │ The Road │ 7.3 │ └────────────────────────┴────────┘ ``` ## Troubleshooting You can see the generated MongoDB query in DEBUG level logs. Implementation details can be found in [mongocxx](https://github.com/mongodb/mongo-cxx-driver) and [mongoc](https://github.com/mongodb/mongo-c-driver) documentations.