Compress and submit an aggregation pipeline to the database. Decompress and retrieve the results.

Compress a query, select and count matching records.

Scan a collection or query selection, collecting all unique values and/or subdocuments.

Remove all indexes from the database.

Remove an index from the database by name.

Compress an index specification and ensure that it exists on the database.

Compress a query and pass it to the database, producing a cursor.

A convenience method to call find and then toArray on the resultant cursor. Optionally project or pass other options.

DANGER - like toArray, you can run the process out of memory if your query selects tons of documents. It is highly recommended that you use use the limit option to control the return batch.

Compress and submit an update to the database and retrieve the affected record atomically.

Compress a query, select one document, remove it from the database and retrieve its contents.

Compress a query document and query the database for zero or one matching records. Optionally project the result record.

Note that contrary to the native driver documentation, in mingydb the second argument is always assumed to be a projection, never an options object.

Search for documents located near a legacy coordinate pair using a Haystack index. Requires that this collection have exactly one geospatial index of geoHaystack type.

Search for documents located near a legacy coordinate pair or GeoJSON location document. Requires that this collection have exactly one geospatial index of either 2d or 2dsphere type.

Determine whether one or more indexes exist on this collection.

Acquire a document describing all indexes on this collection.

Initialize a new ordered bulk operation. Both documented callbacks in the driver are supported so you may pass one both at instantiation and execution. They will both execute.

Initialize a new unordered bulk operation. Both documented callbacks in the driver are supported so you may pass one both at instantiation and execution. They will both execute.

Compress and insert a record into the database. Unknown paths will be given new minification keys. Unlike native insertion, the callback is not optional. This is because the record compression stage may generate an Error.

Determine whether this collection is capped.

Creates a cursor for exploring index information on this collection.

Rebuild all indexes on this collection.

Compress a query, submit it to the database and delete all matching records.

Rename this collection.

Compress and save a record into the database. If the saved record has an _id field, an upsert is performed. Otherwise a new document is inserted.

Obtain database stats information.

Compress and submit an update to the database.