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datafusion.rs
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datafusion.rs
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use std::{
any::Any,
collections::Bound,
fmt::{Debug, Formatter},
pin::{pin, Pin},
sync::Arc,
task::{Context, Poll},
};
use arrow::{datatypes::SchemaRef, record_batch::RecordBatch, util::pretty};
use async_stream::stream;
use async_trait::async_trait;
use datafusion::{
catalog::Session,
common::internal_err,
datasource::{TableProvider, TableType},
error::{DataFusionError, Result},
execution::{RecordBatchStream, SendableRecordBatchStream, TaskContext},
physical_expr::EquivalenceProperties,
physical_plan::{
execute_stream, DisplayAs, DisplayFormatType, ExecutionMode, ExecutionPlan, PlanProperties,
},
prelude::*,
sql::parser::DFParser,
};
use fusio::path::Path;
use futures_core::Stream;
use futures_util::StreamExt;
use tokio::fs;
use tonbo::{
executor::tokio::TokioExecutor,
inmem::immutable::ArrowArrays,
record::{Record, Schema},
DbOption, DB,
};
use tonbo_macros::Record;
#[derive(Record, Debug)]
pub struct Music {
#[record(primary_key)]
id: u64,
name: String,
like: i64,
}
struct MusicProvider {
db: Arc<DB<Music, TokioExecutor>>,
}
struct MusicExec {
cache: PlanProperties,
db: Arc<DB<Music, TokioExecutor>>,
projection: Option<Vec<usize>>,
limit: Option<usize>,
range: (
Bound<<MusicSchema as Schema>::Key>,
Bound<<MusicSchema as Schema>::Key>,
),
}
struct MusicStream {
stream: Pin<Box<dyn Stream<Item = Result<RecordBatch, DataFusionError>> + Send>>,
}
#[async_trait]
impl TableProvider for MusicProvider {
fn as_any(&self) -> &dyn Any {
self
}
fn schema(&self) -> SchemaRef {
MusicSchema {}.arrow_schema().clone()
}
fn table_type(&self) -> TableType {
TableType::Base
}
async fn scan(
&self,
_: &dyn Session,
projection: Option<&Vec<usize>>,
_filters: &[Expr],
limit: Option<usize>,
) -> Result<Arc<dyn ExecutionPlan>> {
let mut exec = MusicExec::new(self.db.clone(), projection);
// TODO: filters to range detach
// exec.range =
exec.projection = projection.cloned();
if let Some(projection) = exec.projection.as_mut() {
for index in projection {
*index = index.checked_sub(2).unwrap_or(0);
}
}
exec.limit = limit;
Ok(Arc::new(exec))
}
}
impl MusicExec {
fn new(db: Arc<DB<Music, TokioExecutor>>, projection: Option<&Vec<usize>>) -> Self {
let schema = MusicSchema {}.arrow_schema();
let schema = if let Some(projection) = &projection {
Arc::new(schema.project(projection).unwrap())
} else {
schema.clone()
};
MusicExec {
cache: PlanProperties::new(
EquivalenceProperties::new_with_orderings(schema, &[]),
datafusion::physical_expr::Partitioning::UnknownPartitioning(1),
ExecutionMode::Unbounded,
),
db,
projection: None,
limit: None,
range: (Bound::Unbounded, Bound::Unbounded),
}
}
}
impl Stream for MusicStream {
type Item = Result<RecordBatch>;
fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<Option<Self::Item>> {
pin!(&mut self.stream).poll_next(cx)
}
}
impl RecordBatchStream for MusicStream {
fn schema(&self) -> SchemaRef {
MusicSchema {}.arrow_schema().clone()
}
}
impl DisplayAs for MusicExec {
fn fmt_as(&self, _: DisplayFormatType, f: &mut Formatter) -> std::fmt::Result {
let (lower, upper) = self.range;
write!(
f,
"MusicExec: range:({:?}, {:?}), projection: [{:?}], limit: {:?}",
lower, upper, self.projection, self.limit
)
}
}
impl Debug for MusicExec {
fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
f.debug_struct("MusicExec")
.field("cache", &self.cache)
.field("limit", &self.limit)
.field("projection", &self.projection)
.field("range", &self.range)
.finish()
}
}
impl ExecutionPlan for MusicExec {
fn name(&self) -> &str {
"MusicExec"
}
fn as_any(&self) -> &dyn Any {
self
}
fn properties(&self) -> &PlanProperties {
&self.cache
}
fn children(&self) -> Vec<&Arc<dyn ExecutionPlan>> {
vec![]
}
fn with_new_children(
self: Arc<Self>,
children: Vec<Arc<dyn ExecutionPlan>>,
) -> Result<Arc<dyn ExecutionPlan>> {
if children.is_empty() {
Ok(self)
} else {
internal_err!("Children cannot be replaced in {self:?}")
}
}
fn execute(&self, _: usize, _: Arc<TaskContext>) -> Result<SendableRecordBatchStream> {
let db = self.db.clone();
let (lower, upper) = self.range;
let limit = self.limit;
let projection = self.projection.clone();
Ok(Box::pin(MusicStream {
stream: Box::pin(stream! {
let txn = db.transaction().await;
let mut scan = txn
.scan((lower.as_ref(), upper.as_ref()));
if let Some(limit) = limit {
scan = scan.limit(limit);
}
if let Some(projection) = projection {
scan = scan.projection(projection.clone());
}
let mut scan = scan.package(8192).await.map_err(|err| DataFusionError::Internal(err.to_string()))?;
while let Some(record) = scan.next().await {
yield Ok(record?.as_record_batch().clone())
}
}),
}))
}
}
#[tokio::main]
async fn main() -> Result<()> {
// make sure the path exists
let _ = fs::create_dir_all("./db_path/music").await;
let options = DbOption::new(
Path::from_filesystem_path("./db_path/music").unwrap(),
&MusicSchema,
);
let db = DB::new(options, TokioExecutor::current(), MusicSchema)
.await
.unwrap();
for (id, name, like) in [
(0, "welcome".to_string(), 0),
(1, "tonbo".to_string(), 999),
(2, "star".to_string(), 233),
(3, "plz".to_string(), 2),
] {
db.insert(Music { id, name, like }).await.unwrap();
}
let ctx = SessionContext::new();
let provider = MusicProvider { db: Arc::new(db) };
ctx.register_table("music", Arc::new(provider))?;
{
let df = ctx.table("music").await?;
let df = df.select(vec![col("name")])?;
let batches = df.collect().await?;
pretty::print_batches(&batches).unwrap();
}
{
// support sql query for tonbo
let statements = DFParser::parse_sql("select id from music")?;
let plan = ctx
.state()
.statement_to_plan(statements.front().cloned().unwrap())
.await?;
let df = ctx.execute_logical_plan(plan).await?;
let physical_plan = df.create_physical_plan().await?;
let mut stream = execute_stream(physical_plan, ctx.task_ctx())?;
while let Some(maybe_batch) = stream.next().await {
let batch = maybe_batch?;
pretty::print_batches(&[batch]).unwrap();
}
}
// https://github.com/tonbo-io/tonbo/issues/172
{
let statements =
DFParser::parse_sql("select _null, _ts, id, name from music where id = 1")?;
let plan = ctx
.state()
.statement_to_plan(statements.front().cloned().unwrap())
.await?;
let df = ctx.execute_logical_plan(plan).await?;
let physical_plan = df.create_physical_plan().await?;
let mut stream = execute_stream(physical_plan, ctx.task_ctx())?;
while let Some(maybe_batch) = stream.next().await {
let batch = maybe_batch?;
pretty::print_batches(&[batch]).unwrap();
}
}
Ok(())
}