Awesome
leveldown
Superseded by classic-level
. Please see Frequently Asked Questions.
Table of Contents
<details><summary>Click to expand</summary>- Introduction
- Supported Platforms
- API
db = leveldown(location)
db.open([options, ]callback)
db.close(callback)
db.put(key, value[, options], callback)
db.get(key[, options], callback)
db.getMany(keys[, options][, callback])
db.del(key[, options], callback)
db.batch(operations[, options], callback)
(array form)db.batch()
(chained form)db.approximateSize(start, end, callback)
db.compactRange(start, end, callback)
db.getProperty(property)
db.iterator([options])
db.clear([options, ]callback)
chainedBatch
iterator
leveldown.destroy(location, callback)
leveldown.repair(location, callback)
- Safety
- Snapshots
- Getting Support
- Contributing
- Donate
- License
Introduction
This module was originally part of levelup
but was later extracted and now serves as a stand-alone binding for LevelDB.
It is strongly recommended that you use levelup
in preference to leveldown
unless you have measurable performance reasons to do so. levelup
is optimised for usability and safety. Although we are working to improve the safety of the leveldown
interface it is still easy to crash your Node process if you don't do things in just the right way.
See the section on safety below for details of known unsafe operations with leveldown
.
Supported Platforms
We aim to support at least Active LTS and Current Node.js releases, Electron 5.0.0, as well as any future Node.js and Electron releases thanks to N-API. The minimum node version for leveldown
is 10.12.0
. Conversely, for node >= 12, the minimum leveldown
version is 5.0.0
.
The leveldown
npm package ships with prebuilt binaries for popular 64-bit platforms as well as ARM, M1, Android and Alpine (musl) and is known to work on:
- Linux (including ARM platforms such as Raspberry Pi and Kindle)
- Mac OS (10.7 and later)
- Solaris (SmartOS & Nodejitsu)
- FreeBSD
- Windows
When installing leveldown
, node-gyp-build
will check if a compatible binary exists and fallback to a compile step if it doesn't. In that case you'll need a valid node-gyp
installation.
If you don't want to use the prebuilt binary for the platform you are installing on, specify the --build-from-source
flag when you install. One of:
npm install --build-from-source
npm install leveldown --build-from-source
If you are working on leveldown
itself and want to re-compile the C++ code, run npm run rebuild
.
Notes
- If you get compilation errors on Node.js 12, please ensure you have
leveldown
>= 5. This can be checked by runningnpm ls leveldown
. - On Linux flavors with an old glibc (Debian 8, Ubuntu 14.04, RHEL 7, CentOS 7) you must either update
leveldown
to >= 5.3.0 or use--build-from-source
. - On Alpine 3 it was previously necessary to use
--build-from-source
. This is no longer the case. - The Android prebuilds are made for and built against Node.js core rather than the
nodejs-mobile
fork.
API
If you are upgrading: please see UPGRADING.md
.
db = leveldown(location)
Returns a new leveldown
instance. location
is a String pointing to the LevelDB location to be opened.
db.open([options, ]callback)
Open the store. The callback
function will be called with no arguments when the database has been successfully opened, or with a single error
argument if the open operation failed for any reason.
options
The optional options
argument may contain:
-
createIfMissing
(boolean, default:true
): Iftrue
, will initialise an empty database at the specified location if one doesn't already exist. Iffalse
and a database doesn't exist you will receive an error in youropen()
callback and your database won't open. -
errorIfExists
(boolean, default:false
): Iftrue
, you will receive an error in youropen()
callback if the database exists at the specified location. -
compression
(boolean, default:true
): Iftrue
, all compressible data will be run through the Snappy compression algorithm before being stored. Snappy is very fast and shouldn't gain much speed by disabling so leave this on unless you have good reason to turn it off. -
cacheSize
(number, default:8 * 1024 * 1024
= 8MB): The size (in bytes) of the in-memory LRU cache with frequently used uncompressed block contents.
Advanced options
The following options are for advanced performance tuning. Modify them only if you can prove actual benefit for your particular application.
writeBufferSize
(number, default:4 * 1024 * 1024
= 4MB): The maximum size (in bytes) of the log (in memory and stored in the .log file on disk). Beyond this size, LevelDB will convert the log data to the first level of sorted table files. From the LevelDB documentation:
Larger values increase performance, especially during bulk loads. Up to two write buffers may be held in memory at the same time, so you may wish to adjust this parameter to control memory usage. Also, a larger write buffer will result in a longer recovery time the next time the database is opened.
-
blockSize
(number, default4096
= 4K): The approximate size of the blocks that make up the table files. The size related to uncompressed data (hence "approximate"). Blocks are indexed in the table file and entry-lookups involve reading an entire block and parsing to discover the required entry. -
maxOpenFiles
(number, default:1000
): The maximum number of files that LevelDB is allowed to have open at a time. If your data store is likely to have a large working set, you may increase this value to prevent file descriptor churn. To calculate the number of files required for your working set, divide your total data by'maxFileSize'
. -
blockRestartInterval
(number, default:16
): The number of entries before restarting the "delta encoding" of keys within blocks. Each "restart" point stores the full key for the entry, between restarts, the common prefix of the keys for those entries is omitted. Restarts are similar to the concept of keyframes in video encoding and are used to minimise the amount of space required to store keys. This is particularly helpful when using deep namespacing / prefixing in your keys. -
maxFileSize
(number, default:2* 1024 * 1024
= 2MB): The maximum amount of bytes to write to a file before switching to a new one. From the LevelDB documentation:
... if your filesystem is more efficient with larger files, you could consider increasing the value. The downside will be longer compactions and hence longer latency/performance hiccups. Another reason to increase this parameter might be when you are initially populating a large database.
db.close(callback)
close()
is an instance method on an existing database object. The underlying LevelDB database will be closed and the callback
function will be called with no arguments if the operation is successful or with a single error
argument if the operation failed for any reason.
leveldown
waits for any pending operations to finish before closing. For example:
db.put('key', 'value', function (err) {
// This happens first
})
db.close(function (err) {
// This happens second
})
db.put(key, value[, options], callback)
Store a new entry or overwrite an existing entry.
The key
and value
objects may either be strings or Buffers. Other object types are converted to strings with the toString()
method. Keys may not be null
or undefined
and objects converted with toString()
should not result in an empty-string. Values may not be null
or undefined
. Values of ''
, []
and Buffer.alloc(0)
(and any object resulting in a toString()
of one of these) will be stored as a zero-length character array and will therefore be retrieved as either ''
or Buffer.alloc(0)
depending on the type requested.
A richer set of data-types is catered for in levelup
.
options
The only property currently available on the options
object is sync
(boolean, default: false
). If you provide a sync
value of true
in your options
object, LevelDB will perform a synchronous write of the data; although the operation will be asynchronous as far as Node is concerned. Normally, LevelDB passes the data to the operating system for writing and returns immediately, however a synchronous write will use fsync()
or equivalent so your callback won't be triggered until the data is actually on disk. Synchronous filesystem writes are significantly slower than asynchronous writes but if you want to be absolutely sure that the data is flushed then you can use { sync: true }
.
The callback
function will be called with no arguments if the operation is successful or with a single error
argument if the operation failed for any reason.
db.get(key[, options], callback)
Get a value from the LevelDB store by key
.
The key
object may either be a string or a Buffer and cannot be undefined
or null
. Other object types are converted to strings with the toString()
method and the resulting string may not be a zero-length. A richer set of data-types is catered for in levelup
.
Values fetched via get()
that are stored as zero-length character arrays (null
, undefined
, ''
, []
, Buffer.alloc(0)
) will return as empty-String
(''
) or Buffer.alloc(0)
when fetched with asBuffer: true
(see below).
options
The optional options
object may contain:
asBuffer
(boolean, default:true
): Used to determine whether to return thevalue
of the entry as a string or a Buffer. Note that converting from a Buffer to a string incurs a cost so if you need a string (and thevalue
can legitimately become a UTF8 string) then you should fetch it as one with{ asBuffer: false }
and you'll avoid this conversion cost.fillCache
(boolean, default:true
): LevelDB will by default fill the in-memory LRU Cache with data from a call to get. Disabling this is done by settingfillCache
tofalse
.
The callback
function will be called with a single error
if the operation failed for any reason, including if the key was not found. If successful the first argument will be null
and the second argument will be the value
as a string or Buffer depending on the asBuffer
option.
db.getMany(keys[, options][, callback])
Get multiple values from the store by an array of keys
. The optional options
object may contain asBuffer
and fillCache
, as described in get()
.
The callback
function will be called with an Error
if the operation failed for any reason. If successful the first argument will be null
and the second argument will be an array of values with the same order as keys
. If a key was not found, the relevant value will be undefined
.
If no callback is provided, a promise is returned.
db.del(key[, options], callback)
Delete an entry. The key
object may either be a string or a Buffer and cannot be undefined
or null
. Other object types are converted to strings with the toString()
method and the resulting string may not be a zero-length. A richer set of data-types is catered for in levelup
.
options
The only property currently available on the options
object is sync
(boolean, default: false
). See db.put()
for details about this option.
The callback
function will be called with no arguments if the operation is successful or with a single error
argument if the operation failed for any reason.
db.batch(operations[, options], callback)
(array form)
Perform multiple put and/or del operations in bulk. The operations
argument must be an Array
containing a list of operations to be executed sequentially, although as a whole they are performed as an atomic operation.
Each operation is contained in an object having the following properties: type
, key
, value
, where the type
is either 'put'
or 'del'
. In the case of 'del'
the value
property is ignored.
Any entries where the key
or value
(in the case of 'put'
) is null
or undefined
will cause an error to be returned on the callback
. Any entries where the type
is 'put'
that have a value
of []
, ''
or Buffer.alloc(0)
will be stored as a zero-length character array and therefore be fetched during reads as either ''
or Buffer.alloc(0)
depending on how they are requested. See levelup
for full documentation on how this works in practice.
The optional options
argument may contain:
sync
(boolean, default:false
). Seedb.put()
for details about this option.
The callback
function will be called with no arguments if the batch is successful or with an Error
if the batch failed for any reason.
db.batch()
(chained form)
Returns a new chainedBatch
instance.
db.approximateSize(start, end, callback)
approximateSize()
is an instance method on an existing database object. Used to get the approximate number of bytes of file system space used by the range [start..end)
. The result may not include recently written data.
The start
and end
parameters may be strings or Buffers representing keys in the LevelDB store.
The callback
function will be called with a single error
if the operation failed for any reason. If successful the first argument will be null
and the second argument will be the approximate size as a Number.
db.compactRange(start, end, callback)
compactRange()
is an instance method on an existing database object. Used to manually trigger a database compaction in the range [start..end)
.
The start
and end
parameters may be strings or Buffers representing keys in the LevelDB store.
The callback
function will be called with no arguments if the operation is successful or with a single error
argument if the operation failed for any reason.
db.getProperty(property)
getProperty
can be used to get internal details from LevelDB. When issued with a valid property string, a readable string will be returned (this method is synchronous).
Currently, the only valid properties are:
-
leveldb.num-files-at-levelN
: return the number of files at level N, where N is an integer representing a valid level (e.g. "0"). -
leveldb.stats
: returns a multi-line string describing statistics about LevelDB's internal operation. -
leveldb.sstables
: returns a multi-line string describing all of the sstables that make up contents of the current database.
db.iterator([options])
Returns a new iterator
instance. Accepts the following range options:
gt
(greater than),gte
(greater than or equal) define the lower bound of the range to be iterated. Only entries where the key is greater than (or equal to) this option will be included in the range. Whenreverse=true
the order will be reversed, but the entries iterated will be the same.lt
(less than),lte
(less than or equal) define the higher bound of the range to be iterated. Only entries where the key is less than (or equal to) this option will be included in the range. Whenreverse=true
the order will be reversed, but the entries iterated will be the same.reverse
(boolean, default:false
): iterate entries in reverse order. Beware that a reverse seek can be slower than a forward seek.limit
(number, default:-1
): limit the number of entries collected by this iterator. This number represents a maximum number of entries and may not be reached if you get to the end of the range first. A value of-1
means there is no limit. Whenreverse=true
the entries with the highest keys will be returned instead of the lowest keys.
In addition to range options, iterator()
takes the following options:
keys
(boolean, default:true
): whether to return the key of each entry. If set tofalse
, calls toiterator.next(callback)
will yield keys with a value ofundefined
<sup>1</sup>. There is a small efficiency gain if you ultimately don't care what the keys are as they don't need to be converted and copied into JavaScript.values
(boolean, default:true
): whether to return the value of each entry. If set tofalse
, calls toiterator.next(callback)
will yield values with a value ofundefined
<sup>1</sup>.keyAsBuffer
(boolean, default:true
): Whether to return the key of each entry as a Buffer or string. Converting from a Buffer to a string incurs a cost so if you need a string (and thekey
can legitimately become a UTF8 string) then you should fetch it as one.valueAsBuffer
(boolean, default:true
): Whether to return the value of each entry as a Buffer or string.fillCache
(boolean, default:false
): whether LevelDB's LRU-cache should be filled with data read.
<sup>1</sup> leveldown
returns an empty string rather than undefined
at the moment.
db.clear([options, ]callback)
Delete all entries or a range. Not guaranteed to be atomic. Accepts the following range options (with the same rules as on iterators):
gt
(greater than),gte
(greater than or equal) define the lower bound of the range to be deleted. Only entries where the key is greater than (or equal to) this option will be included in the range. Whenreverse=true
the order will be reversed, but the entries deleted will be the same.lt
(less than),lte
(less than or equal) define the higher bound of the range to be deleted. Only entries where the key is less than (or equal to) this option will be included in the range. Whenreverse=true
the order will be reversed, but the entries deleted will be the same.reverse
(boolean, default:false
): delete entries in reverse order. Only effective in combination withlimit
, to remove the last N entries.limit
(number, default:-1
): limit the number of entries to be deleted. This number represents a maximum number of entries and may not be reached if you get to the end of the range first. A value of-1
means there is no limit. Whenreverse=true
the entries with the highest keys will be deleted instead of the lowest keys.
If no options are provided, all entries will be deleted. The callback
function will be called with no arguments if the operation was successful or with an Error
if it failed for any reason.
chainedBatch
chainedBatch.put(key, value)
Queue a put
operation on this batch. This may throw if key
or value
is invalid, following the same rules as the array form of db.batch()
.
chainedBatch.del(key)
Queue a del
operation on this batch. This may throw if key
is invalid.
chainedBatch.clear()
Clear all queued operations on this batch.
chainedBatch.write([options, ]callback)
Commit the queued operations for this batch. All operations will be written atomically, that is, they will either all succeed or fail with no partial commits.
The optional options
argument may contain:
sync
(boolean, default:false
). Seedb.put()
for details about this option.
The callback
function will be called with no arguments if the batch is successful or with an Error
if the batch failed for any reason. After write
has been called, no further operations are allowed.
chainedBatch.db
A reference to the db
that created this chained batch.
iterator
An iterator allows you to iterate the entire store or a range. It operates on a snapshot of the store, created at the time db.iterator()
was called. This means reads on the iterator are unaffected by simultaneous writes.
Iterators can be consumed with for await...of
or by manually calling iterator.next()
in succession. In the latter mode, iterator.end()
must always be called. In contrast, finishing, throwing or breaking from a for await...of
loop automatically calls iterator.end()
.
An iterator reaches its natural end in the following situations:
- The end of the store has been reached
- The end of the range has been reached
- The last
iterator.seek()
was out of range.
An iterator keeps track of when a next()
is in progress and when an end()
has been called so it doesn't allow concurrent next()
calls, it does allow end()
while a next()
is in progress and it doesn't allow either next()
or end()
after end()
has been called.
for await...of iterator
Yields arrays containing a key
and value
. The type of key
and value
depends on the options passed to db.iterator()
.
try {
for await (const [key, value] of db.iterator()) {
console.log(key)
}
} catch (err) {
console.error(err)
}
iterator.next([callback])
Advance the iterator and yield the entry at that key. If an error occurs, the callback
function will be called with an Error
. Otherwise, the callback
receives null
, a key
and a value
. The type of key
and value
depends on the options passed to db.iterator()
. If the iterator has reached its natural end, both key
and value
will be undefined
.
If no callback is provided, a promise is returned for either an array (containing a key
and value
) or undefined
if the iterator reached its natural end.
Note: Always call iterator.end()
, even if you received an error and even if the iterator reached its natural end.
iterator.seek(key)
Seek the iterator to a given key or the closest key. Subsequent calls to iterator.next()
will yield entries with keys equal to or larger than target
, or equal to or smaller than target
if the reverse
option passed to db.iterator()
was true. The same applies to implicit iterator.next()
calls in a for await...of
loop.
If range options like gt
were passed to db.iterator()
and target
does not fall within that range, the iterator will reach its natural end.
iterator.end([callback])
End iteration and free up underlying resources. The callback
function will be called with no arguments on success or with an Error
if ending failed for any reason.
If no callback is provided, a promise is returned.
iterator.db
A reference to the db
that created this iterator.
leveldown.destroy(location, callback)
Completely remove an existing LevelDB database directory. You can use this function in place of a full directory rm
if you want to be sure to only remove LevelDB-related files. If the directory only contains LevelDB files, the directory itself will be removed as well. If there are additional, non-LevelDB files in the directory, those files, and the directory, will be left alone.
The callback will be called when the destroy operation is complete, with a possible error
argument.
leveldown.repair(location, callback)
Attempt a restoration of a damaged LevelDB store. From the LevelDB documentation:
If a DB cannot be opened, you may attempt to call this method to resurrect as much of the contents of the database as possible. Some data may be lost, so be careful when calling this function on a database that contains important information.
You will find information on the repair operation in the LOG file inside the store directory.
A repair()
can also be used to perform a compaction of the LevelDB log into table files.
The callback will be called when the repair operation is complete, with a possible error
argument.
Safety
Database State
Currently leveldown
does not track the state of the underlying LevelDB instance. This means that calling open()
on an already open database may result in an error. Likewise, calling any other operation on a non-open database may result in an error.
levelup
currently tracks and manages state and will prevent out-of-state operations from being send to leveldown
. If you use leveldown
directly then you must track and manage state for yourself.
Snapshots
leveldown
exposes a feature of LevelDB called snapshots. This means that when you do e.g. createReadStream
and createWriteStream
at the same time, any data modified by the write stream will not affect data emitted from the read stream. In other words, a LevelDB Snapshot captures the latest state at the time the snapshot was created, enabling the snapshot to iterate or read the data without seeing any subsequent writes. Any read not performed on a snapshot will implicitly use the latest state.
Getting Support
You're welcome to open an issue on the GitHub repository if you have a question.
Past and no longer active support channels include the ##leveldb
IRC channel on Freenode and the Node.js LevelDB Google Group.
Contributing
Level/leveldown
is an OPEN Open Source Project. This means that:
Individuals making significant and valuable contributions are given commit-access to the project to contribute as they see fit. This project is more like an open wiki than a standard guarded open source project.
See the Contribution Guide for more details.
Git Submodules
This project uses Git Submodules. This means that you should clone it recursively if you're planning on working on it:
$ git clone --recurse-submodules https://github.com/Level/leveldown.git
Alternatively, you can initialize submodules inside the cloned folder:
$ git submodule update --init --recursive
Publishing
- Increment the version:
npm version ..
- Push to GitHub:
git push --follow-tags
- Wait for CI to complete
- Download prebuilds into
./prebuilds
:npm run download-prebuilds
- Optionally verify loading a prebuild:
npm run test-prebuild
- Optionally verify which files npm will include:
canadian-pub
- Finally:
npm publish
Donate
Support us with a monthly donation on Open Collective and help us continue our work.
License
leveldown
builds on the excellent work of the LevelDB and Snappy teams from Google and additional contributors. LevelDB and Snappy are both issued under the New BSD License. A large portion of leveldown
Windows support comes from the Windows LevelDB port (archived) by Krzysztof Kowalczyk (@kjk
). If you're using leveldown
on Windows, you should give him your thanks!