71daaffce6 | ||
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arrow_deps | ||
benches | ||
data_types | ||
docker | ||
docs | ||
generated_types | ||
influxdb2_client | ||
influxdb_line_protocol | ||
influxdb_tsm | ||
ingest | ||
mem_qe | ||
mutable_buffer | ||
object_store | ||
packers | ||
panic_logging | ||
query | ||
read_buffer | ||
server | ||
src | ||
test_helpers | ||
tests | ||
wal | ||
.gitignore | ||
CONTRIBUTING.md | ||
Cargo.lock | ||
Cargo.toml | ||
LICENSE-APACHE | ||
LICENSE-MIT | ||
README.md | ||
rust-toolchain | ||
rustfmt.toml |
README.md
InfluxDB IOx
InfluxDB IOx (short for Iron Oxide, pronounced InfluxDB "eye-ox") is the future core of InfluxDB, an open source time series database. The name is in homage to Rust, the language this project is written in. It is built using Apache Arrow and DataFusion among other things. InfluxDB IOx aims to be:
- The future core of InfluxDB; supporting industry standard SQL, InfluxQL, and Flux
- An in-memory columnar store using object storage for persistence
- A fast analytic database for structured and semi-structured events (like logs and tracing data)
- A system for defining replication (synchronous, asynchronous, push and pull) and partitioning rules for InfluxDB time series data and tabular analytics data
- A system supporting real-time subscriptions
- A processor that can transform and do arbitrary computation on time series and event data as it arrives
- An analytic database built for data science, supporting Apache Arrow Flight for fast data transfer
Persistence is through Parquet files in object storage. It is a design goal to support integration with other big data systems through object storage and Parquet specifically.
For more details on the motivation behind the project and some of our goals, read through the InfluxDB IOx announcement blog post. If you prefer a video that covers a little bit of InfluxDB history and high level goals for InfluxDB IOx you can watch Paul Dix's announcement talk from InfluxDays NA 2020. For more details on the motivation behind the selection of Apache Arrow, Flight and Parquet, read this.
Project Status
This project is very early and in active development. It isn't yet ready for testing, which is why we're not producing builds or documentation yet. If you're interested in following along with the project, drop into our community Slack channel #influxdb_iox. You can find links to join here.
We're also hosting monthly tech talks and community office hours on the project on the 2nd Wednesday of the month at 8:30 AM Pacific Time. The first InfluxDB IOx Tech Talk is on December 9th and you can find details here.
Quick Start
To compile and run InfluxDB IOx from source, you'll need a Rust compiler and a flatc
FlatBuffers
compiler.
Cloning the Repository
Using git
, check out the code by cloning this repository. If you use the git
command line, this
looks like:
git clone git@github.com:influxdata/influxdb_iox.git
Then change into the directory containing the code:
cd influxdb_iox
The rest of the instructions assume you are in this directory.
Installing Rust
The easiest way to install Rust is by using rustup
, a Rust version manager.
Follow the instructions on the rustup
site for your operating system.
By default, rustup
will install the latest stable verison of Rust. InfluxDB IOx is currently
using a nightly version of Rust to get performance benefits from the unstable simd
feature. The
exact nightly version is specified in the rust-toolchain
file. When you're in the directory
containing this repository's code, rustup
will look in the rust-toolchain
file and
automatically install and use the correct Rust version for you. Test this out with:
rustc --version
and you should see a nightly version of Rust!
Installing flatc
InfluxDB IOx uses the FlatBuffer serialization format for its write-ahead log. The flatc
compiler reads the schema in generated_types/wal.fbs
and generates the corresponding Rust code.
Install flatc
>= 1.12.0 with one of these methods as appropriate to your operating system:
- Using a Windows binary release
- Using the
flatbuffers
package for conda - Using the
flatbuffers
package for Arch Linux - Using the
flatbuffers
package for Homebrew
Once you have installed the packages, you should be able to run:
flatc --version
and see the version displayed.
You won't have to run flatc
directly; once it's available, Rust's Cargo build tool manages the
compilation process by calling flatc
for you.
Installing clang
An installation of clang
is required to build the croaring
dependency - if
it is not already present, it can typically be installed with the system
package manager.
clang --version
Apple clang version 12.0.0 (clang-1200.0.32.27)
Target: x86_64-apple-darwin20.1.0
Thread model: posix
InstalledDir: /Library/Developer/CommandLineTools/usr/bin
Specifying Configuration
IOx is designed for running in modern containerized environments. As such, it takes its configuration as environment variables.
You can see a list of the current configuration values by running influxdb_iox --help
, as well as the specific subcommand config options such as influxdb_iox server --help
.
Should you desire specifying config via a file, you can do so using a .env
formatted file in the working directory.
Compiling and Starting the Server
InfluxDB IOx is built using Cargo, Rust's package manager and build tool.
To compile for development, run:
cargo build
which will create a binary in target/debug
that you can run with:
./target/debug/influxdb_iox
You can compile and run with one command by using:
cargo run
When compiling for performance testing, build in release mode by using:
cargo build --release
which will create the corresponding binary in target/release
:
./target/release/influxdb_iox
Similarly, you can do this in one step with:
cargo run --release
The server will, by default, start an HTTP API server on port 8080
and a gRPC server on port
8082
.
Writing and Reading Data
Data can be stored in InfluxDB IOx by sending it in line protocol format to the /api/v2/write
endpoint. Data is stored by organization and bucket names. Here's an example using curl
with
the organization name company
and the bucket name sensors
that will send the data in the
tests/fixtures/lineproto/metrics.lp
file in this repository, assuming that you're running the
server on the default port:
curl -v "http://127.0.0.1:8080/api/v2/write?org=company&bucket=sensors" --data-binary @tests/fixtures/lineproto/metrics.lp
To query stored data, use the /api/v2/read
endpoint with a SQL query. This example will return
all data in the company
organization's sensors
bucket for the processes
measurement:
curl -v -G -d 'org=company' -d 'bucket=sensors' --data-urlencode 'sql_query=select * from processes' "http://127.0.0.1:8080/api/v2/read"
Contributing
We welcome community contributions from anyone!
Read our Contributing Guide for instructions on how to make your first contribution.
Architecture and Technical Documenation
There are a variety of technical documents describing various parts of IOx in the docs directory.