==== BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size. The desire to create BuntDB stems from the need for a new embeddable database for [Tile38](https://github.com/tidwall/tile38). One that can work both as a performant [Raft Store](https://github.com/tidwall/raft-buntdb), and a Geospatial database. Much of the API is inspired by the fantastic [BoltDB](https://github.com/boltdb/bolt), an amazing key/value store that can handle terabytes of data on disk. Features ======== - In-memory database for [fast reads and writes](#performance) - Embeddable with a [simple API](https://godoc.org/github.com/tidwall/buntdb) - [Spatial indexing](#spatial-indexes) for up to 20 dimensions; Useful for Geospatial data - Create [custom indexes](#custom-indexes) for any data type - [Built-in types](#built-in-types) that are easy to get up & running; String, Uint, Int, Float - Flexible [iteration](#iterating) of data; ascending, descending, and ranges - [Durable append-only file](#append-only-file) format for persistence. - Option to evict old items with an [expiration](#data-expiration) TTL - Tight codebase, under 1K loc using the `cloc` command - ACID semantics with locking [transactions](#transactions) that support rollbacks Getting Started =============== ## Installing To start using BuntDB, install Go and run `go get`: ```sh $ go get github.com/tidwall/buntdb ``` This will retrieve the library. ## Opening a database The primary object in BuntDB is a `DB`. To open or create your database, use the `buntdb.Open()` function: ```go package main import ( "log" "github.com/tidwall/buntdb" ) func main() { // Open the data.db file. It will be created if it doesn't exist. db, err := buntdb.Open("data.db") if err != nil { log.Fatal(err) } defer db.Close() ... } ``` It's also possible to open a database that does not persist to disk by using `:memory:` as the path of the file. ```go buntdb.Open(":memory:") // Open a file that does not persist to disk. ``` ## Transactions All reads and writes must be performed from inside a transaction. BuntDB can have one write transaction opened at a time, but can have many concurrent read transactions. Each transaction maintains a stable view of the database. In other words, once a transaction has begun, the data for that transaction cannot be changed by other transactions. Transactions run in a function that exposes a `Tx` object, which represents the transaction state. While inside a transaction, all database operations should be performed using this object. You should never access the origin `DB` object while inside a transaction. Doing so may have side-effects, such as blocking your application. When a transaction fails, it will roll back, and revert all changes that occurred to the database during that transaction. There's a single return value that you can use to close the transaction. For read/write transactions, returning an error this way will force the transaction to roll back. When a read/write transaction succeeds all changes are persisted to disk. ### Read-only Transactions A read-only transaction should be used when you don't need to make changes to the data. The advantage of a read-only transaction is that there can be many running concurrently. ```go err := db.View(func(tx *buntdb.Tx) error { ... return nil }) ``` ### Read/write Transactions A read/write transaction is used when you need to make changes to your data. There can only be one read/write transaction running at a time. So make sure you close it as soon as you are done with it. ```go err := db.Update(func(tx *buntdb.Tx) error { ... return nil }) ``` ## Setting and getting key/values To set a value you must open a read/write transaction: ```go err := db.Update(func(tx *buntdb.Tx) error { err := tx.Set("mykey", "myvalue", nil) return err }) ``` To get the value: ```go err := db.View(func(tx *buntdb.Tx) error { val, err := tx.Get("mykey") if err != nil{ return err } fmt.Printf("value is %s\n", val) return nil }) ``` Getting non-existent values will case an `ErrNotFound` error. ### Iterating All keys/value pairs are ordered in the database by the key. To iterate over the keys: ```go err := db.View(func(tx *buntdb.Tx) error { err := tx.Ascend("", func(key, value string) bool{ fmt.Printf("key: %s, value: %s\n", key, value) }) return err }) ``` There is also `AscendGreaterOrEqual`, `AscendLessThan`, `AscendRange`, `Descend`, `DescendLessOrEqual`, `DescendGreaterThan`, and `DescendRange`. Please see the [documentation](https://godoc.org/github.com/tidwall/buntdb) for more information on these functions. ## Custom Indexes Initially all data is stored in a single [B-tree](https://en.wikipedia.org/wiki/B-tree) with each item having one key and one value. All of these items are ordered by the key. This is great for quickly getting a value from a key or [iterating](#iterating) over the keys. Feel free to peruse the [B-tree implementation](https://github.com/tidwall/btree). You can also create custom indexes that allow for ordering and [iterating](#iterating) over values. A custom index also uses a B-tree, but it's more flexible because it allows for custom ordering. For example, let's say you want to create an index for ordering names: ```go db.CreateIndex("names", "*", buntdb.IndexString) ``` This will create an index named `names` which stores and sorts all values. The second parameter is a pattern that is used to filter on keys. A `*` wildcard argument means that we want to accept all keys. `IndexString` is a built-in function that performs case-insensitive ordering on the values Now you can add various names: ```go db.Update(func(tx *buntdb.Tx) error { tx.Set("user:0:name", "tom", nil) tx.Set("user:1:name", "Randi", nil) tx.Set("user:2:name", "jane", nil) tx.Set("user:4:name", "Janet", nil) tx.Set("user:5:name", "Paula", nil) tx.Set("user:6:name", "peter", nil) tx.Set("user:7:name", "Terri", nil) return nil }) ``` Finally you can iterate over the index: ```go db.View(func(tx *buntdb.Tx) error { tx.Ascend("names", func(key, val string) bool { fmt.Printf(buf, "%s %s\n", key, val) return true }) return nil }) ``` The output should be: ``` user:2:name jane user:4:name Janet user:5:name Paula user:6:name peter user:1:name Randi user:7:name Terri user:0:name tom ``` The pattern parameter can be used to filter on keys like this: ```go db.CreateIndex("names", "user:*", buntdb.IndexString) ``` Now only items with keys that have the prefix `user:` will be added to the `names` index. ### Built-in types Along with `IndexString`, there is also `IndexInt`, `IndexUint`, and `IndexFloat`. These are built-in types for indexing. You can choose to use these or create your own. So to create an index that is numerically ordered on an age key, we could use: ```go db.CreateIndex("ages", "user:*:age", buntdb.IndexInt) ``` And then add values: ```go db.Update(func(tx *buntdb.Tx) error { tx.Set("user:0:age", "35", nil) tx.Set("user:1:age", "49", nil) tx.Set("user:2:age", "13", nil) tx.Set("user:4:age", "63", nil) tx.Set("user:5:age", "8", nil) tx.Set("user:6:age", "3", nil) tx.Set("user:7:age", "16", nil) return nil }) ``` ```go db.View(func(tx *buntdb.Tx) error { tx.Ascend("ages", func(key, val string) bool { fmt.Printf(buf, "%s %s\n", key, val) return true }) return nil }) ``` The output should be: ``` user:6:name 3 user:5:name 8 user:2:name 13 user:7:name 16 user:0:name 35 user:1:name 49 user:4:name 63 ``` ### Spatial Indexes BuntDB has support for spatial indexes by storing rectangles in an [R-tree](https://en.wikipedia.org/wiki/R-tree). An R-tree is organized in a similar manner as a [B-tree](https://en.wikipedia.org/wiki/B-tree), and both are balanced trees. But, an R-tree is special because it can operate on data that is in multiple dimensions. This is super handy for Geospatial applications. To create a spatial index use the `CreateSpatialIndex` function: ```go db.CreateSpatialIndex("fleet", "fleet:*:pos", buntdb.IndexRect) ``` Then `IndexRect` is a built-in function that converts rect strings to a format that the R-tree can use. It's easy to use this function out of the box, but you might find it better to create a custom one that renders from a different format, such as [Well-known text](https://en.wikipedia.org/wiki/Well-known_text) or [GeoJSON](http://geojson.org/). To add some lon,lat points to the `fleet` index: ```go db.Update(func(tx *buntdb.Tx) error { tx.Set("fleet:0:pos", "[-115.567 33.532]", nil) tx.Set("fleet:1:pos", "[-116.671 35.735]", nil) tx.Set("fleet:2:pos", "[-113.902 31.234]", nil) return nil }) ``` And then you can run the `Intersects` function on the index: ```go db.View(func(tx *buntdb.Tx) error { tx.Intersects("fleet", "[-117 30],[-112 36]", func(key, val string) bool { ... return true }) return nil }) ``` This will get all three positions. #### Spatial bracket syntax The bracket syntax `[-117 30],[-112 36]` is unique to BuntDB, and it's how the built-in rectangles are processed, but you are not limited to this syntax. Whatever Rect function you choose to use during `CreateSpatialIndex` will be used to process the parameter, in this case it's `IndexRect`. - **2D rectangle:** `[10 15],[20 25]` *Min XY: "10x15", Max XY: "20x25"* - **3D rectangle:** `[10 15 12],[20 25 18]` *Min XYZ: "10x15x12", Max XYZ: "20x25x18"* - **2D point:** `[10 15 12]` *XY: "10x15"* - **LatLon point:** `[-112.2693 33.5123]` *LatLon: "33.5123 -112.2693"* - **LatLon bounding box:** `[-112.26 33.51],[-112.18 33.67]` *Min LatLon: "33.51 -112.26", Max LatLon: "33.67 -112.18"* **Notice:** The longitude is the Y axis and is on the left, and latitude is the X axis and is on the right. ### Data Expiration Items can be automatically evicted by using the `SetOptions` object in the `Set` function to set a `TTL`. ```go db.Update(func(tx *buntdb.Tx) error { tx.Set("mykey", "myval", &buntdb.SetOptions{Expires:true, TTL:time.Second}) return nil }) ``` Now `mykey` will automatically be deleted after one second. You can remove the TTL by setting the value again with the same key/value, but with the options parameter set to nil. ## Append-only File BuntDB uses an AOF (append-only file) which is a log of all database changes that occur from operations like `Set()` and `Delete()`. The format of this file looks like: ``` set key:1 value1 set key:2 value2 set key:1 value3 del key:2 ... ``` When the database opens again, it will read back the aof file and process each command in exact order. This read process happens one time when the database opens. From there on the file is only appended. As you may guess this log file can grow large over time. There's a background routine that automatically shrinks the log file when it gets too large. There is also a `Shrink()` function which will rewrite the aof file so that it contains only the items in the database. The shrink operation does not lock up the database so read and write transactions can continue while shrinking is in process. ### Durability and fsync BuntDB executes an `fsync` once every second on the [aof file](#append-only-file). Which simply means that there's a chance that up to 1 second of data might be lost. The likelihood of this happening is dependent on a lot of factors, but suffice to say this may not be good enough for environments that require very high durability. There's the optional database config setting `Config.SyncPolicy` which can be set to - `Never` - fsync is managed by the operating system, less safe - `EverySecond` - fsync every second, fast and safer, this is the default - `Always` - fsync after every write, very durable, very slow ## Performance How fast is BuntDB? Here are some example [benchmarks](https://github.com/tidwall/raft-buntdb#raftstore-performance-comparison) when using BuntDB in a Raft Store implementation. You can also run the standard Go benchmark tool from the project root directory: ``` go test --bench=. ``` ### BuntDB-Benchmark There's a [custom utility](https://github.com/tidwall/buntdb-benchmark) that was created specifically for benchmarking BuntDB. *These are the results from running the benchmarks on a MacBook Pro 15" 2.8 GHz Intel Core i7:* ``` $ buntdb-benchmark -q GET: 4609604.74 operations per second SET: 248500.33 operations per second ASCEND_100: 2268998.79 operations per second ASCEND_200: 1178388.14 operations per second ASCEND_400: 679134.20 operations per second ASCEND_800: 348445.55 operations per second DESCEND_100: 2313821.69 operations per second DESCEND_200: 1292738.38 operations per second DESCEND_400: 675258.76 operations per second DESCEND_800: 337481.67 operations per second SPATIAL_SET: 134824.60 operations per second SPATIAL_INTERSECTS_100: 939491.47 operations per second SPATIAL_INTERSECTS_200: 561590.40 operations per second SPATIAL_INTERSECTS_400: 306951.15 operations per second SPATIAL_INTERSECTS_800: 159673.91 operations per second ``` To install this utility: ``` go get github.com/tidwall/buntdb-benchmark ``` ## Contact Josh Baker [@tidwall](http://twitter.com/tidwall) ## License BuntDB source code is available under the MIT [License](/LICENSE).