yjshen commented on a change in pull request #1849:
URL: https://github.com/apache/arrow-datafusion/pull/1849#discussion_r808940636
##########
File path: datafusion/src/row/reader.rs
##########
@@ -44,6 +48,31 @@ pub fn read_as_batch(
output.output().map_err(DataFusionError::ArrowError)
}
+/// Read `data` of raw-bytes rows starting at `offsets` out to a record batch
+#[cfg(feature = "jit")]
+pub fn read_as_batch_jit(
Review comment:
And this is the example usage pattern: generate code and compile once,
and run repeatedly.
##########
File path: datafusion-jit/src/lib.rs
##########
@@ -0,0 +1,110 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements. See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership. The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License. You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied. See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+//! Just-In-Time compilation to accelerate DataFusion physical plan execution.
+
+pub mod api;
+pub mod ast;
+pub mod jit;
+
+#[cfg(test)]
+mod tests {
+ use crate::api::{Assembler, GeneratedFunction};
+ use crate::ast::I64;
+ use crate::jit::JIT;
+ use datafusion_common::Result;
+
+ #[test]
+ fn iterative_fib() -> Result<()> {
+ let expected = r#"fn iterative_fib_0(n: i64) -> r: i64 {
+ if n == 0 {
+ r = 0;
+ } else {
+ n = n - 1;
+ let a: i64;
+ a = 0;
+ r = 1;
+ while n != 0 {
+ let t: i64;
+ t = r;
+ r = r + a;
+ a = t;
+ n = n - 1;
+ }
+ }
+}"#;
+ let assembler = Assembler::default();
+ let mut builder = assembler
+ .new_func_builder("iterative_fib")
+ .param("n", I64)
+ .ret("r", I64);
+ let mut fn_body = builder.enter_block();
+
+ fn_body.if_block(
+ |cond| cond.eq(cond.id("n")?, cond.lit_i(0)),
+ |t| {
+ t.assign("r", t.lit_i(0))?;
+ Ok(())
+ },
+ |e| {
+ e.assign("n", e.sub(e.id("n")?, e.lit_i(1))?)?;
+ e.declare_as("a", e.lit_i(0))?;
+ e.assign("r", e.lit_i(1))?;
+ e.while_block(
+ |cond| cond.ne(cond.id("n")?, cond.lit_i(0)),
+ |w| {
+ w.declare_as("t", w.id("r")?)?;
+ w.assign("r", w.add(w.id("r")?, w.id("a")?)?)?;
+ w.assign("a", w.id("t")?)?;
+ w.assign("n", w.sub(w.id("n")?, w.lit_i(1))?)?;
+ Ok(())
+ },
+ )?;
+ Ok(())
+ },
+ )?;
Review comment:
This is how we create an iterative version of Fibonacci calculation with
the introduced `FunctionBuilder` API.
##########
File path: datafusion/src/row/reader.rs
##########
@@ -260,6 +289,136 @@ fn read_row(row: &RowReader, batch: &mut
MutableRecordBatch, schema: &Arc<Schema
}
}
+#[cfg(feature = "jit")]
+fn get_array(
+ batch: &mut MutableRecordBatch,
+ col_idx: usize,
+) -> &mut Box<dyn ArrayBuilder> {
+ let arrays: &mut [Box<dyn ArrayBuilder>] = batch.arrays.as_mut();
+ &mut arrays[col_idx]
+}
+
+#[cfg(feature = "jit")]
+macro_rules! reg_fn {
+ ($ASS:ident, $FN: ident, $PARAM: expr, $RET: expr) => {
+ $ASS.register_extern_fn(fn_name($FN), $FN as *const u8, $PARAM, $RET)?;
+ };
+}
+
+#[cfg(feature = "jit")]
+fn fn_name<T>(f: T) -> &'static str {
+ fn type_name_of<T>(_: T) -> &'static str {
+ std::any::type_name::<T>()
+ }
+ let name = type_name_of(f);
+
+ // Find and cut the rest of the path
+ match &name.rfind(':') {
+ Some(pos) => &name[pos + 1..name.len()],
+ None => name,
+ }
+}
+
+#[cfg(feature = "jit")]
+fn register_read_functions(asm: &Assembler) -> Result<()> {
+ let reader_param = vec![PTR, I64, PTR];
+ reg_fn!(asm, get_array, vec![PTR, I64], Some(PTR));
+ reg_fn!(asm, read_field_bool, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u8, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u16, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u32, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u64, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i8, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i16, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i32, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i64, reader_param.clone(), None);
+ reg_fn!(asm, read_field_f32, reader_param.clone(), None);
+ reg_fn!(asm, read_field_f64, reader_param.clone(), None);
+ reg_fn!(asm, read_field_date32, reader_param.clone(), None);
+ reg_fn!(asm, read_field_date64, reader_param.clone(), None);
+ reg_fn!(asm, read_field_utf8, reader_param.clone(), None);
+ reg_fn!(asm, read_field_binary, reader_param.clone(), None);
+ reg_fn!(asm, read_field_bool_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u8_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u16_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u32_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_u64_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i8_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i16_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i32_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_i64_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_f32_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_f64_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_date32_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_date64_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_utf8_nf, reader_param.clone(), None);
+ reg_fn!(asm, read_field_binary_nf, reader_param, None);
+ Ok(())
+}
+
+#[cfg(feature = "jit")]
+fn gen_read_row(schema: &Arc<Schema>, assembler: &Assembler) -> Result<*const
u8> {
Review comment:
This is the other example of how we generate code based on the schema to
create a row to record batch deserializer.
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