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#[macro_use]
extern crate nom;
#[macro_use]
#[cfg(test)]
extern crate maplit;
mod data;
mod operator;
mod lang;
mod render;
pub mod pipeline {
use lang;
use operator;
use lang::*;
use render::{RenderConfig, Renderer};
use data::{Record, Row};
use std::io::BufRead;
use std::time::Duration;
pub struct Pipeline {
filter: lang::Search,
pre_aggregates: Vec<Box<operator::UnaryPreAggOperator>>,
aggregators: Vec<Box<operator::AggregateOperator>>,
renderer: Renderer,
}
impl Pipeline {
fn convert_inline(op: lang::InlineOperator) -> Box<operator::UnaryPreAggOperator> {
match op {
InlineOperator::Json { input_column } => {
Box::new(operator::ParseJson::new(input_column))
}
InlineOperator::Parse {
pattern,
fields,
input_column,
} => Box::new(operator::Parse::new(&pattern, fields, input_column).unwrap()),
InlineOperator::Fields { fields, mode } => {
let omode = match mode {
FieldMode::Except => operator::FieldMode::Except,
FieldMode::Only => operator::FieldMode::Only,
};
Box::new(operator::Fields::new(fields, omode))
}
}
}
fn convert_sort(op: lang::SortOperator) -> Box<operator::AggregateOperator> {
let mode = match op.direction {
SortMode::Ascending => operator::SortDirection::Ascending,
SortMode::Descending => operator::SortDirection::Descending,
};
Box::new(operator::Sorter::new(op.sort_cols, mode))
}
fn convert_agg(op: lang::AggregateOperator) -> Box<operator::AggregateOperator> {
match op.aggregate_function {
AggregateFunction::Count => Box::new(operator::Grouper::<operator::Count>::new(
op.key_cols.iter().map(AsRef::as_ref).collect(),
&op.output_column,
operator::Count::new(),
)),
AggregateFunction::Average { column } => {
Box::new(operator::Grouper::<operator::Average>::new(
op.key_cols.iter().map(AsRef::as_ref).collect(),
&op.output_column,
operator::Average::empty(column),
))
}
AggregateFunction::Sum { column } => {
Box::new(operator::Grouper::<operator::Sum>::new(
op.key_cols.iter().map(AsRef::as_ref).collect(),
&op.output_column,
operator::Sum::empty(column),
))
}
AggregateFunction::Percentile {
column, percentile, ..
} => Box::new(operator::Grouper::<operator::Percentile>::new(
op.key_cols.iter().map(AsRef::as_ref).collect(),
&op.output_column,
operator::Percentile::empty(column, percentile),
)),
}
}
pub fn new(pipeline: &str) -> Result<Self, String> {
let fixed_pipeline = format!("{}!", pipeline);
let parsed = lang::parse_query(&fixed_pipeline);
let query = match parsed {
Ok((_input, query)) => query,
Err(s) => return Result::Err(format!("Could not parse query: {:?}", s)),
};
let mut in_agg = false;
let mut pre_agg: Vec<Box<operator::UnaryPreAggOperator>> = Vec::new();
let mut post_agg: Vec<Box<operator::AggregateOperator>> = Vec::new();
let final_op = {
let last_op = &(query.operators).last();
match last_op {
&Some(&Operator::Aggregate(ref agg_op)) => {
Some(Pipeline::convert_sort(SortOperator {
sort_cols: vec![agg_op.output_column.clone()],
direction: SortMode::Descending,
}))
}
_other => None,
}
};
for op in query.operators {
match op {
Operator::Inline(inline_op) => if !in_agg {
pre_agg.push(Pipeline::convert_inline(inline_op));
} else {
return Result::Err("non aggregate cannot follow aggregate".to_string());
},
Operator::Aggregate(agg_op) => {
in_agg = true;
post_agg.push(Pipeline::convert_agg(agg_op))
}
Operator::Sort(sort_op) => post_agg.push(Pipeline::convert_sort(sort_op)),
}
}
match final_op {
Some(op) => post_agg.push(op),
None => (),
};
Result::Ok(Pipeline {
filter: query.search,
pre_aggregates: pre_agg,
aggregators: post_agg,
renderer: Renderer::new(
RenderConfig {
floating_points: 2,
min_buffer: 4,
max_buffer: 8,
},
Duration::from_millis(50),
),
})
}
fn matches(&self, raw: &str) -> bool {
match &self.filter {
&lang::Search::MatchAll => true,
&lang::Search::MatchFilter(ref filter) => raw.contains(filter),
}
}
pub fn process<T: BufRead>(&mut self, mut buf: T) {
let mut line = String::with_capacity(1024);
while buf.read_line(&mut line).unwrap() > 0 {
self.proc_str(&(line));
line.clear();
}
self.run_agg_pipeline(true);
}
fn proc_str(&mut self, s: &str) {
if self.matches(&s) {
let mut rec = Record::new(s);
for pre_agg in &self.pre_aggregates {
match (*pre_agg).process(rec) {
Some(next_rec) => rec = next_rec,
None => return,
}
}
let row = Row::Record(rec);
if self.aggregators.len() == 0 {
self.renderer.render(&row, false);
return;
}
(*self.aggregators[0]).process(row);
if self.renderer.should_print() {
self.run_agg_pipeline(false);
}
}
}
pub fn run_agg_pipeline(&mut self, last_row: bool) {
if self.aggregators.len() == 0 {
return;
}
let mut row = Row::Aggregate((*self.aggregators[0]).emit());
for agg in self.aggregators[1..].iter_mut() {
(*agg).process(row);
row = Row::Aggregate((*agg).emit());
}
self.renderer.render(&row, last_row);
}
}
}