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NAME

       startingGetting Started
        - LMDB is compact, fast, powerful, and robust and implements a simplified variant of the BerkeleyDB
       (BDB) API. (BDB is also very powerful, and verbosely documented in its own right.) After reading this
       page, the main LMDB API documentation should make sense. Thanks to Bert Hubert for creating the initial
       version of this writeup.

       Everything starts with an environment, created by mdb_env_create(). Once created, this environment must
       also be opened with mdb_env_open().

       mdb_env_open() gets passed a name which is interpreted as a directory path. Note that this directory must
       exist already, it is not created for you. Within that directory, a lock file and a storage file will be
       generated. If you don't want to use a directory, you can pass the MDB_NOSUBDIR option, in which case the
       path you provided is used directly as the data file, and another file with a '-lock' suffix added will be
       used for the lock file.

       Once the environment is open, a transaction can be created within it using mdb_txn_begin(). Transactions
       may be read-write or read-only, and read-write transactions may be nested. A transaction must only be
       used by one thread at a time. Transactions are always required, even for read-only access. The
       transaction provides a consistent view of the data.

       Once a transaction has been created, a database can be opened within it using mdb_dbi_open(). If only one
       database will ever be used in the environment, a NULL can be passed as the database name. For named
       databases, the MDB_CREATE flag must be used to create the database if it doesn't already exist. Also,
       mdb_env_set_maxdbs() must be called after mdb_env_create() and before mdb_env_open() to set the maximum
       number of named databases you want to support.

       Note: a single transaction can open multiple databases. Generally databases should only be opened once,
       by the first transaction in the process. After the first transaction completes, the database handles can
       freely be used by all subsequent transactions.

       Within a transaction, mdb_get() and mdb_put() can store single key/value pairs if that is all you need to
       do (but see Cursors below if you want to do more).

       A key/value pair is expressed as two MDB_val structures. This struct has two fields, mv_size and mv_data.
       The data is a void pointer to an array of mv_size bytes.

       Because LMDB is very efficient (and usually zero-copy), the data returned in an MDB_val structure may be
       memory-mapped straight from disk. In other words look but do not touch (or free() for that matter). Once
       a transaction is closed, the values can no longer be used, so make a copy if you need to keep them after
       that.

Cursors

       To do more powerful things, we must use a cursor.

       Within the transaction, a cursor can be created with mdb_cursor_open(). With this cursor we can
       store/retrieve/delete (multiple) values using mdb_cursor_get(), mdb_cursor_put(), and mdb_cursor_del().

       mdb_cursor_get() positions itself depending on the cursor operation requested, and for some operations,
       on the supplied key. For example, to list all key/value pairs in a database, use operation MDB_FIRST for
       the first call to mdb_cursor_get(), and MDB_NEXT on subsequent calls, until the end is hit.

       To retrieve all keys starting from a specified key value, use MDB_SET. For more cursor operations, see
       the LMDB API docs.

       When using mdb_cursor_put(), either the function will position the cursor for you based on the key, or
       you can use operation MDB_CURRENT to use the current position of the cursor. Note that key must then
       match the current position's key.

   Summarizing the Opening
       So we have a cursor in a transaction which opened a database in an environment which is opened from a
       filesystem after it was separately created.

       Or, we create an environment, open it from a filesystem, create a transaction within it, open a database
       within that transaction, and create a cursor within all of the above.

       Got it?

Threads and Processes

       LMDB uses POSIX locks on files, and these locks have issues if one process opens a file multiple times.
       Because of this, do not mdb_env_open() a file multiple times from a single process. Instead, share the
       LMDB environment that has opened the file across all threads. Otherwise, if a single process opens the
       same environment multiple times, closing it once will remove all the locks held on it, and the other
       instances will be vulnerable to corruption from other processes.

       Also note that a transaction is tied to one thread by default using Thread Local Storage. If you want to
       pass read-only transactions across threads, you can use the MDB_NOTLS option on the environment.

Transactions, Rollbacks, etc.

       To actually get anything done, a transaction must be committed using mdb_txn_commit(). Alternatively, all
       of a transaction's operations can be discarded using mdb_txn_abort(). In a read-only transaction, any
       cursors will not automatically be freed. In a read-write transaction, all cursors will be freed and must
       not be used again.

       For read-only transactions, obviously there is nothing to commit to storage. The transaction still must
       eventually be aborted to close any database handle(s) opened in it, or committed to keep the database
       handles around for reuse in new transactions.

       In addition, as long as a transaction is open, a consistent view of the database is kept alive, which
       requires storage. A read-only transaction that no longer requires this consistent view should be
       terminated (committed or aborted) when the view is no longer needed (but see below for an optimization).

       There can be multiple simultaneously active read-only transactions but only one that can write. Once a
       single read-write transaction is opened, all further attempts to begin one will block until the first one
       is committed or aborted. This has no effect on read-only transactions, however, and they may continue to
       be opened at any time.

Duplicate Keys

       mdb_get() and mdb_put() respectively have no and only some support for multiple key/value pairs with
       identical keys. If there are multiple values for a key, mdb_get() will only return the first value.

       When multiple values for one key are required, pass the MDB_DUPSORT flag to mdb_dbi_open(). In an
       MDB_DUPSORT database, by default mdb_put() will not replace the value for a key if the key existed
       already. Instead it will add the new value to the key. In addition, mdb_del() will pay attention to the
       value field too, allowing for specific values of a key to be deleted.

       Finally, additional cursor operations become available for traversing through and retrieving duplicate
       values.

Some Optimization

       If you frequently begin and abort read-only transactions, as an optimization, it is possible to only
       reset and renew a transaction.

       mdb_txn_reset() releases any old copies of data kept around for a read-only transaction. To reuse this
       reset transaction, call mdb_txn_renew() on it. Any cursors in this transaction must also be renewed using
       mdb_cursor_renew().

       Note that mdb_txn_reset() is similar to mdb_txn_abort() and will close any databases you opened within
       the transaction.

       To permanently free a transaction, reset or not, use mdb_txn_abort().

Cleaning Up

       For read-only transactions, any cursors created within it must be closed using mdb_cursor_close().

       It is very rarely necessary to close a database handle, and in general they should just be left open.

The Full API

       The full LMDB API documentation lists further details, like how to:

       • size a database (the default limits are intentionally small)
       • drop and clean a database
       • detect and report errors
       • optimize (bulk) loading speed
       • (temporarily) reduce robustness to gain even more speed
       • gather statistics about the database
       • define custom sort orders