Apache IoTDB

Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields.

Apache IoTDB Client for Rust

About version support

Supports the latest version 1.3.1 of IoTDB and is also compatible with operations below version 1.0

Overview

This is the Rust client of Apache IoTDB.

Apache IoTDB website: https://iotdb.apache.org Apache IoTDB Github: https://github.com/apache/iotdb

Prerequisites

apache-iotdb 0.12.0 and newer. rust 1.56.0 and newer.

How to Use the Client (Quick Start)

Usage

Put this in your Cargo.toml:

[dependencies]
iotdb-client="0.1.0"

Example

Put this in your example's Cargo.toml:

[dependencies]
iotdb-client="0.1.0"
chrono="0.4.19"
prettytable-rs="0.8.0"
structopt = "0.3.25"

use std::{collections::BTreeMap, vec};

use chrono::Local;
use iotdb_client::client::remote::{Config, RpcSession};
use iotdb_client::client::{MeasurementSchema, Result, RowRecord, Session, Tablet, Value};
use iotdb_client::protocal::{TSCompressionType, TSDataType, TSEncoding};
use prettytable::{cell, Row, Table};
use structopt::StructOpt;

fn main() {
    demo().expect("failed to run example.");
}

fn demo() -> Result<()> {

    let config = Config::builder()
        .host("127.0.0.1")
        .port(6667)
        .username("root")
        .password("root")
        .build();

    let mut session = RpcSession::new(config)?;
    session.open()?;

    //time_zone
    let tz = session.get_time_zone()?;
    if tz != "Asia/Shanghai" {
        session.set_time_zone("Asia/Shanghai")?;
    }

    //execute_query_statement
    {
        let dataset = session.execute_query_statement(" select * from root.sg_rs.*;", None)?;
        // Get columns, column types and values from the dataset
        // For example:
        let width = 18;
        let column_count = dataset.get_column_names().len();
        let print_line_sep =
            || println!("{:=<width$}", '=', width = (width + 1) * column_count + 1);

        print_line_sep();
        dataset
            .get_column_names()
            .iter()
            .for_each(|c| print!("|{:>width$}", c.split('.').last().unwrap(), width = width));
        println!("|");
        print_line_sep();
        dataset.get_data_types().iter().for_each(|t| {
            let type_name = format!("{:?}", t);
            print!("|{:>width$}", type_name, width = width)
        });
        println!("|");
        print_line_sep();
        dataset.for_each(|r| {
            r.values.iter().for_each(|v| match v {
                Value::Bool(v) => print!("|{:>width$}", v, width = width),
                Value::Int32(v) => print!("|{:>width$}", v, width = width),
                Value::Int64(v) => print!("|{:>width$}", v, width = width),
                Value::Float(v) => print!("|{:>width$}", v, width = width),
                Value::Double(v) => print!("|{:>width$}", v, width = width),
                Value::Text(v) => print!("|{:>width$}", v, width = width),
                Value::Null => print!("|{:>width$}", "null", width = width),
            });
            println!("|");
        });
        print_line_sep();
    }
    session.close()?;
    Ok(())
}