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https://github.com/actix/examples
synced 2024-11-23 22:41:07 +01:00
added async_db project
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[workspace]
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members = [
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"./",
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"async_db",
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"async_ex1",
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"basics",
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"cookie-auth",
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18
async_db/Cargo.toml
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async_db/Cargo.toml
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[package]
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name = "async_db"
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version = "0.1.0"
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authors = ["Darin Gordon <dkcdkg@gmail.com>"]
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[dependencies]
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actix = "0.5"
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actix-web = "^0.6"
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dotenv = "0.10"
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env_logger = "0.5"
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failure = "0.1.1"
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futures = "0.1"
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num_cpus = "1.8.0"
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r2d2 = "0.8.2"
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r2d2_sqlite = "0.5.0"
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serde = "1.0"
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serde_json = "1.0"
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serde_derive = "1.0"
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40
async_db/README.md
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40
async_db/README.md
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Getting started using databases with Actix web, asynchronously.
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## Usage
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### init database sqlite
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From the root directory of this project:
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```bash
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bash db/setup_db.sh
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```
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This creates a sqlite database, weather.db, in the root.
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### server
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```bash
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# if ubuntu : sudo apt-get install libsqlite3-dev
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# if fedora : sudo dnf install libsqlite3x-devel
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cargo run (or ``cargo watch -x run``)
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# Started http server: 127.0.0.1:8080
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```
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### web client
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[http://127.0.0.1:8080/asyncio_weather](http://127.0.0.1:8080/asyncio_weather)
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[http://127.0.0.1:8080/parallel_weather](http://127.0.0.1:8080/parallel_weather)
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### sqlite client
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```bash
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# if ubuntu : sudo apt-get install sqlite3
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# if fedora : sudo dnf install sqlite3x
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sqlite3 weather.db
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sqlite> .tables
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sqlite> select * from nyc_weather;
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```
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BIN
async_db/db/GHCND_documentation.pdf
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async_db/db/GHCND_documentation.pdf
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6
async_db/db/README.md
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6
async_db/db/README.md
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This directory includes weather information obtained from NOAA for NYC Central Park: https://www.ncdc.noaa.gov/cdo-web/
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# Setup Instructions
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Set up a sqlite3 database by executing the setup_db.sh file: ``bash sqlite_db.sh``
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28
async_db/db/db.sql
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async_db/db/db.sql
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CREATE TABLE nyc_weather(
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STATION TEXT,
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NAME TEXT,
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DATE TEXT,
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ACMH DOUBLE,
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AWND DOUBLE,
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FMTM DOUBLE,
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PGTM DOUBLE,
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PRCP DOUBLE,
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PSUN DOUBLE,
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SNOW DOUBLE,
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SNWD DOUBLE,
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TAVG DOUBLE,
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TMAX DOUBLE,
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TMIN DOUBLE,
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TSUN DOUBLE,
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WDF1 DOUBLE,
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WDF2 DOUBLE,
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WDF5 DOUBLE,
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WDFG DOUBLE,
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WDFM DOUBLE,
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WSF1 DOUBLE,
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WSF2 DOUBLE,
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WSF5 DOUBLE,
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WSFG DOUBLE,
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WSFM DOUBLE
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);
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13882
async_db/db/nyc_centralpark_weather.csv
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async_db/db/nyc_centralpark_weather.csv
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File diff suppressed because it is too large
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2
async_db/db/setup_db.sh
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async_db/db/setup_db.sh
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sqlite3 weather.db < db/db.sql ; \
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sqlite3 -csv weather.db ".import db/nyc_centralpark_weather.csv nyc_weather"
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136
async_db/src/db.rs
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async_db/src/db.rs
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use actix::prelude::*;
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use actix_web::*;
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use std::{time::Duration, thread::sleep};
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use failure::Error;
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use r2d2;
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use r2d2_sqlite;
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pub type Pool = r2d2::Pool<r2d2_sqlite::SqliteConnectionManager>;
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pub type Connection = r2d2::PooledConnection<r2d2_sqlite::SqliteConnectionManager>;
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pub struct DbExecutor(pub Pool);
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impl Actor for DbExecutor {
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type Context = SyncContext<Self>;
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}
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#[derive(Debug, Serialize, Deserialize)]
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pub enum WeatherAgg {
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AnnualAgg {year: i32, total: f64},
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MonthAgg {year: i32, month: i32, total: f64}
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}
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pub enum Queries {
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GetTopTenHottestYears,
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GetTopTenColdestYears,
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GetTopTenHottestMonths,
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GetTopTenColdestMonths
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}
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//pub struct GetTopTenHottestYears;
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impl Message for Queries {
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type Result = Result<Vec<WeatherAgg>, Error>;
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}
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impl Handler<Queries> for DbExecutor {
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type Result = Result<Vec<WeatherAgg>, Error>;
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fn handle(&mut self, msg: Queries, _: &mut Self::Context) -> Self::Result {
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let conn: Connection = self.0.get()?;
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match msg {
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Queries::GetTopTenHottestYears => get_hottest_years(conn),
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Queries::GetTopTenColdestYears => get_coldest_years(conn),
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Queries::GetTopTenHottestMonths =>get_hottest_months(conn),
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Queries::GetTopTenColdestMonths => get_coldest_months(conn),
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}
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}
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}
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fn get_hottest_years(conn: Connection) -> Result<Vec<WeatherAgg>, Error> {
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let stmt = "
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SELECT cast(strftime('%Y', date) as int) as theyear,
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sum(tmax) as total
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FROM nyc_weather
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WHERE tmax <> 'TMAX'
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GROUP BY theyear
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ORDER BY total DESC LIMIT 10;";
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let mut prep_stmt = conn.prepare(stmt)?;
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let annuals = prep_stmt.query_map(&[], |row| {
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WeatherAgg::AnnualAgg{year: row.get(0),
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total: row.get(1)}})
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.and_then(|mapped_rows|
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Ok(mapped_rows.map(|row| row.unwrap()).collect::<Vec<WeatherAgg>>()))?;
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sleep(Duration::from_secs(2));
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Ok(annuals)
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}
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fn get_coldest_years(conn: Connection) -> Result<Vec<WeatherAgg>, Error> {
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let stmt = "
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SELECT cast(strftime('%Y', date) as int) as theyear,
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sum(tmax) as total
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FROM nyc_weather
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WHERE tmax <> 'TMAX'
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GROUP BY theyear
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ORDER BY total ASC LIMIT 10;";
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let mut prep_stmt = conn.prepare(stmt)?;
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let annuals = prep_stmt.query_map(&[], |row| {
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WeatherAgg::AnnualAgg{year: row.get(0),
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total: row.get(1)}})
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.and_then(|mapped_rows|
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Ok(mapped_rows.map(|row| row.unwrap()).collect::<Vec<WeatherAgg>>()))?;
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sleep(Duration::from_secs(2));
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Ok(annuals)
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}
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fn get_hottest_months(conn: Connection) -> Result<Vec<WeatherAgg>, Error> {
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let stmt =
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"SELECT cast(strftime('%Y', date) as int) as theyear,
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cast(strftime('%m', date) as int) as themonth,
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sum(tmax) as total
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FROM nyc_weather
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WHERE tmax <> 'TMAX'
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GROUP BY theyear, themonth
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ORDER BY total DESC LIMIT 10;";
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let mut prep_stmt = conn.prepare(stmt)?;
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let annuals = prep_stmt.query_map(&[], |row| {
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WeatherAgg::MonthAgg{year: row.get(0),
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month: row.get(1),
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total: row.get(2)}})
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.and_then(|mapped_rows|
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Ok(mapped_rows.map(|row| row.unwrap()).collect::<Vec<WeatherAgg>>()))?;
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sleep(Duration::from_secs(2));
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Ok(annuals)
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}
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fn get_coldest_months(conn: Connection) -> Result<Vec<WeatherAgg>, Error> {
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let stmt =
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"SELECT cast(strftime('%Y', date) as int) as theyear,
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cast(strftime('%m', date) as int) as themonth,
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sum(tmax) as total
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FROM nyc_weather
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WHERE tmax <> 'TMAX'
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GROUP BY theyear, themonth
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ORDER BY total ASC LIMIT 10;";
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let mut prep_stmt = conn.prepare(stmt)?;
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let annuals = prep_stmt.query_map(&[], |row| {
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WeatherAgg::MonthAgg{year: row.get(0),
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month: row.get(1),
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total: row.get(2)}})
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.and_then(|mapped_rows|
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Ok(mapped_rows.map(|row| row.unwrap()).collect::<Vec<WeatherAgg>>()))?;
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sleep(Duration::from_secs(2));
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Ok(annuals)
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}
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118
async_db/src/main.rs
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async_db/src/main.rs
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/* Actix-Web Asynchronous Database Example
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This project illustrates two examples:
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1. An asynchronous handler that executes 4 queries in *sequential order*,
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collecting the results and returning them as a single serialized json object
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2. An asynchronous handler that executes 4 queries in *parallel*,
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collecting the results and returning them as a single serialized json object
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*/
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#[macro_use] extern crate actix;
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extern crate actix_web;
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extern crate env_logger;
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extern crate failure;
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extern crate futures;
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extern crate num_cpus;
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extern crate r2d2;
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extern crate r2d2_sqlite;
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extern crate serde;
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#[macro_use] extern crate serde_derive;
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extern crate serde_json;
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use actix::prelude::*;
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use actix_web::{
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http, middleware, server, App, AsyncResponder, FutureResponse, HttpResponse,
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State, Error as AWError
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};
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use std::error::Error as StdError;
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use failure::Error;
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use futures::future::{Future, join_all, ok as fut_ok, err as fut_err};
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use r2d2_sqlite::SqliteConnectionManager;
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mod db;
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use db::{DbExecutor, Queries, WeatherAgg, Pool};
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/// State with DbExecutor address
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struct AppState {
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db: Addr<Syn, DbExecutor>,
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}
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/// Version 1: Calls 4 queries in sequential order, as an asynchronous handler
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fn asyncio_weather(state: State<AppState>) -> FutureResponse<HttpResponse> {
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let mut result: Vec<Vec<WeatherAgg>> = vec![];
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state.db.send(Queries::GetTopTenHottestYears).from_err()
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.and_then(move |res| {
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result.push(res.unwrap());
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state.db.send(Queries::GetTopTenColdestYears).from_err()
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.and_then(move |res| {
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result.push(res.unwrap());
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state.db.send(Queries::GetTopTenHottestMonths).from_err()
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.and_then(move |res| {
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result.push(res.unwrap());
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state.db.send(Queries::GetTopTenColdestMonths).from_err()
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.and_then(move |res| {
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result.push(res.unwrap());
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fut_ok(result)
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})
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})
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})
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})
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.and_then(|res| Ok(HttpResponse::Ok().json(res)))
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.responder()
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}
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/// Version 2: Calls 4 queries in parallel, as an asynchronous handler
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/// Returning Error types turn into None values in the response
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fn parallel_weather(state: State<AppState>) -> FutureResponse<HttpResponse> {
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let fut_result = vec![
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Box::new(state.db.send(Queries::GetTopTenHottestYears)),
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Box::new(state.db.send(Queries::GetTopTenColdestYears)),
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Box::new(state.db.send(Queries::GetTopTenHottestMonths)),
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Box::new(state.db.send(Queries::GetTopTenColdestMonths))];
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join_all(fut_result)
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.map_err(AWError::from)
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.and_then(|result| {
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let res: Vec<Option<Vec<WeatherAgg>>> =
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result.into_iter().map(|x| x.ok()).collect();
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Ok(HttpResponse::Ok().json(res))
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})
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.responder()
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}
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fn main() {
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::std::env::set_var("RUST_LOG", "actix_web=info");
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env_logger::init();
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let sys = actix::System::new("parallel_db_example");
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// Start N db executor actors (N = number of cores avail)
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let manager = SqliteConnectionManager::file("weather.db");
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let pool = Pool::new(manager).unwrap();
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let addr = SyncArbiter::start(num_cpus::get(), move || DbExecutor(pool.clone()));
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// Start http server
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server::new(move || {
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App::with_state(AppState{db: addr.clone()})
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// enable logger
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.middleware(middleware::Logger::default())
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.resource("/asyncio_weather", |r|
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r.method(http::Method::GET)
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.with(asyncio_weather))
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.resource("/parallel_weather", |r|
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r.method(http::Method::GET)
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.with(parallel_weather))
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}).bind("127.0.0.1:8080")
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.unwrap()
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.start();
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println!("Started http server: 127.0.0.1:8080");
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let _ = sys.run();
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}
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