debugged parallelization logic

This commit is contained in:
Bill
2025-11-18 09:59:49 -07:00
parent c91c3ad2f7
commit b2224a15b8
5 changed files with 241 additions and 135 deletions

View File

@@ -1,98 +1,94 @@
// --- External Crates ---
use std::pin::Pin;
use std::pin::Pin;
use std::sync::Arc;
use tokio_postgres::{NoTls, CopyOutStream, Client, Config as PgConfig}; // FIX: Import Client and PgConfig
use anyhow::{Context, Result, anyhow};
use tokio_postgres::{NoTls, CopyOutStream, Client, Config as PgConfig};
use anyhow::{Context, Result, anyhow};
use arrow::array::{
ArrayBuilder, ArrayRef,
ArrayBuilder, ArrayRef,
Int64Builder, Float64Builder, Float32Builder, StringBuilder, BooleanBuilder,
TimestampNanosecondBuilder, Date32Builder, Int32Builder
};
};
use arrow::datatypes::{
DataType, Field, Schema,
DataType, Field, Schema,
Float64Type, Float32Type, Int64Type, Int32Type, Utf8Type, BooleanType, TimestampNanosecondType,
Date32Type
};
};
use arrow::record_batch::RecordBatch;
use futures_util::stream::StreamExt;
use futures_util::stream::StreamExt;
use bytes::Bytes;
use byteorder::{BigEndian, ReadBytesExt};
use std::io::{Cursor, Read};
use std::io::{Cursor, Read};
use std::str;
use chrono::{NaiveDateTime, NaiveDate};
use std::mem;
use std::str::FromStr; // FIX: Import FromStr for PgConfig
use tokio::task::JoinSet; // FIX: Import JoinSet for parallelism
use arrow::compute::concat_batches; // FIX: Import the final stitching function
use std::mem;
use std::str::FromStr;
use tokio::task::JoinSet;
use arrow::compute::concat_batches;
// --- Internal Crates ---
use crate::config::ConnectorConfig;
use crate::config::ConnectorConfig;
// --- 1. CORE DATABASE LOGIC (REFACTORED TO A *PARALLEL COORDINATOR*) ---
// --- 1. CORE DATABASE LOGIC (PARALLEL COORDINATOR) ---
pub async fn run_db_logic(config: ConnectorConfig) -> Result<RecordBatch> {
// --- Phase 1: Task 1-3 (Query Planner) ---
println!("UncheckedIO: Starting Query Planner...");
// 1. Establish the *coordinator* connection
// FIX: Parse the connection string into a config we can clone for workers
let pg_config = PgConfig::from_str(&config.connection_string)?;
let (client, connection) = pg_config.connect(NoTls).await
.context("Coordinator: Failed to connect to PostgreSQL")?;
tokio::spawn(async move {
if let Err(e) = connection.await {
eprintln!("Coordinator connection error: {}", e);
}
});
// 2. Define Partition Strategy (Task 3)
let num_partitions = num_cpus::get().max(2); // Use all cores, but at least 2
let partition_key = "id"; // Task 1: Hardcode partition key
// 2. Define Partition Strategy
let num_partitions = num_cpus::get().max(2);
let partition_key = "id";
// 3. Query for Table Bounds (Task 2)
// 3. Query for Table Bounds
let (base_query, _) = config.query
.trim()
.split_once("TO STDOUT (FORMAT binary)")
.context("Failed to parse base query from config")?;
// We need just the table/query part, remove the COPY (...)
let base_query_inner = base_query.trim().trim_start_matches("COPY (").trim_end_matches(")");
let stats_query = format!(
"SELECT MIN({}), MAX({}), COUNT(*) FROM ({}) AS subquery",
partition_key, partition_key, base_query_inner
);
println!("UncheckedIO: Running stats query: {}", stats_query);
let row = client.query_one(&stats_query, &[]).await?;
let min_id: i64 = row.try_get(0).context("Failed to get MIN(id)")?;
let max_id: i64 = row.try_get(1).context("Failed to get MAX(id)")?;
let count: i64 = row.try_get(2).context("Failed to get COUNT(*)")?;
if count == 0 {
// Return an empty, valid RecordBatch
println!("UncheckedIO: Table has no rows (COUNT=0). Returning empty batch.");
let arrow_schema = build_arrow_schema(&config)?;
return Ok(RecordBatch::new_empty(arrow_schema));
// FIX 1: Wrap schema in Arc to satisfy SchemaRef
return Ok(RecordBatch::new_empty(Arc::new(arrow_schema)));
}
let chunk_size = (count as f64 / num_partitions as f64).ceil() as i64;
println!("UncheckedIO: Found {} rows. Creating {} partitions of ~{} rows each.", count, num_partitions, chunk_size);
// --- Phase 1: Task 4 (Generate Partitioned Queries) ---
// 4. Generate Partitioned Queries
let mut partition_queries: Vec<String> = Vec::new();
for i in 0..num_partitions {
let part_min = min_id + (i as i64 * chunk_size);
let part_max = (part_min + chunk_size - 1).min(max_id);
if part_min > max_id {
break;
break;
}
// Construct the new, partitioned query
let new_query = format!(
"COPY (SELECT * FROM ({}) AS sub WHERE {} BETWEEN {} AND {}) TO STDOUT (FORMAT binary)",
base_query_inner,
@@ -105,42 +101,34 @@ pub async fn run_db_logic(config: ConnectorConfig) -> Result<RecordBatch> {
println!("UncheckedIO: Generated {} parallel queries.", partition_queries.len());
// --- Phase 2: Tasks 5-9 (Parallel Execution) ---
// Build the Arrow Schema *once* and wrap it in an Arc so it can be cloned cheaply
// --- Phase 2: Parallel Execution ---
let arrow_schema = Arc::new(build_arrow_schema(&config)?);
// Task 5: Spawn Tokio Tasks
let mut join_set = JoinSet::new();
for query in partition_queries {
let worker_pg_config = pg_config.clone(); // Clone config for the new task
let worker_schema = arrow_schema.clone(); // Clone Arc (cheap) for the new task
let worker_pg_config = pg_config.clone();
let worker_schema = arrow_schema.clone();
join_set.spawn(async move {
// Task 6: Isolate Worker Connections
let (worker_client, worker_connection) = worker_pg_config.connect(NoTls).await?;
// Spawn the connection task for this worker
tokio::spawn(async move {
if let Err(e) = worker_connection.await {
eprintln!("Worker connection error: {}", e);
}
});
// Task 7: Execute Partition in Parallel
let copy_stream = worker_client.copy_out(query.as_str()).await?;
let pinned_stream: Pin<Box<CopyOutStream>> = Box::pin(copy_stream);
let pinned_stream: Pin<Box<CopyOutStream>> = Box::pin(copy_stream);
// Call our existing streaming parser!
let record_batch = parse_binary_stream(pinned_stream, worker_schema).await?;
// Return the finished batch
Ok::<_, anyhow::Error>(record_batch)
});
}
// --- Phase 3: Task 8 (Collect and Concatenate Results) ---
// --- Phase 3: Collect and Concatenate ---
let mut batches: Vec<RecordBatch> = Vec::new();
while let Some(join_result) = join_set.join_next().await {
match join_result {
@@ -157,14 +145,14 @@ pub async fn run_db_logic(config: ConnectorConfig) -> Result<RecordBatch> {
Err(e) => return Err(anyhow!("A tokio task failed to join: {}", e)),
}
}
if batches.is_empty() {
println!("UncheckedIO: All partitions returned empty. Returning empty batch.");
return Ok(RecordBatch::new_empty(arrow_schema));
}
// Task 8: Stitch all the RecordBatches together into one
let final_batch = concat_batches(&batches[0].schema(), &batches)?
// FIX 2: Removed the '?' after concat_batches so .context() applies to the Result
let final_batch = concat_batches(&batches[0].schema(), &batches)
.context("Failed to concatenate parallel batches")?;
Ok(final_batch)
@@ -173,56 +161,47 @@ pub async fn run_db_logic(config: ConnectorConfig) -> Result<RecordBatch> {
/// Helper function to build the Arrow Schema from the config
fn build_arrow_schema(config: &ConnectorConfig) -> Result<Schema> {
let schema_fields: Vec<Field> = config.schema.iter().map(|col_cfg| {
let nullable = col_cfg.column_name == "notes";
let nullable = col_cfg.column_name == "notes"; // Hack for MVP
let arrow_type = match col_cfg.arrow_type.as_str() {
"Int64" => DataType::Int64,
"Int32" => DataType::Int32,
"Float64" => DataType::Float64,
"Int32" => DataType::Int32,
"Float64" => DataType::Float64,
"Float32" => DataType::Float32,
"Utf8" | "String" => DataType::Utf8,
"Boolean" => DataType::Boolean,
"Timestamp(Nanosecond, None)" => DataType::Timestamp(arrow::datatypes::TimeUnit::Nanosecond, None),
"Date32" => DataType::Date32,
"Date32" => DataType::Date32,
_ => return Err(anyhow!("Unsupported type in config: {}", col_cfg.arrow_type)),
};
Ok(Field::new(&col_cfg.column_name, arrow_type, nullable))
}).collect::<Result<Vec<Field>>>()?; // Collect the results, propagating errors
}).collect::<Result<Vec<Field>>>()?;
Ok(Schema::new(schema_fields))
}
// --- 2. INTERNAL PARSER IMPLEMENTATION ---
// This section (parse_binary_stream, parse_stream_header, parse_row)
// remains 100% UNCHANGED from our Sprint 2.
// It is now the "worker" logic that will be called by our parallel tasks.
// This enum will hold our different builder types
enum DynamicBuilder {
Int64(Box<Int64Builder>),
Int32(Box<Int32Builder>),
Float64(Box<Float64Builder>),
Int32(Box<Int32Builder>),
Float64(Box<Float64Builder>),
Float32(Box<Float32Builder>),
String(Box<StringBuilder>),
Boolean(Box<BooleanBuilder>),
Timestamp(Box<TimestampNanosecondBuilder>),
Date32(Box<Date32Builder>),
Boolean(Box<BooleanBuilder>),
Timestamp(Box<TimestampNanosecondBuilder>),
Date32(Box<Date32Builder>),
}
// Postgres Epoch for timestamps
const POSTGRES_EPOCH_NAIVE: NaiveDateTime = NaiveDate::from_ymd_opt(2000, 1, 1).unwrap().and_hms_opt(0, 0, 0).unwrap();
// Unix Epoch for dates
const UNIX_EPOCH_NAIVE_DATE: NaiveDate = NaiveDate::from_ymd_opt(1970, 1, 1).unwrap();
/// This is the streaming "worker" function.
/// It reads a stream chunk by chunk and parses it.
async fn parse_binary_stream(
mut stream: Pin<Box<CopyOutStream>>,
mut stream: Pin<Box<CopyOutStream>>,
arrow_schema: Arc<Schema>
) -> Result<RecordBatch> {
// --- Phase 1: Task 1 (Initialize Builders) ---
let mut builders: Vec<DynamicBuilder> = arrow_schema.fields().iter().map(|field| {
match field.data_type() {
DataType::Int64 => DynamicBuilder::Int64(Box::new(Int64Builder::new())),
@@ -230,45 +209,40 @@ async fn parse_binary_stream(
DataType::Float64 => DynamicBuilder::Float64(Box::new(Float64Builder::new())),
DataType::Float32 => DynamicBuilder::Float32(Box::new(Float32Builder::new())),
DataType::Utf8 => DynamicBuilder::String(Box::new(StringBuilder::new())),
DataType::Boolean => DynamicBuilder::Boolean(Box::new(BooleanBuilder::new())),
DataType::Boolean => DynamicBuilder::Boolean(Box::new(BooleanBuilder::new())),
DataType::Timestamp(arrow::datatypes::TimeUnit::Nanosecond, None) => {
DynamicBuilder::Timestamp(Box::new(TimestampNanosecondBuilder::new()))
DynamicBuilder::Timestamp(Box::new(TimestampNanosecondBuilder::new()))
},
DataType::Date32 => DynamicBuilder::Date32(Box::new(Date32Builder::new())),
_ => panic!("Unsupported type in builder creation!"), // Will improve later
_ => panic!("Unsupported type in builder creation!"),
}
}).collect();
// --- Phase 1: Task 2 (Initialize State) ---
let mut leftover_buffer: Vec<u8> = Vec::new();
let mut is_header_parsed: bool = false;
let mut rows_processed: usize = 0;
// --- Phase 2: Task 4 (Streaming Loop) ---
'stream_loop: while let Some(segment_result) = stream.next().await {
'stream_loop: while let Some(segment_result) = stream.next().await {
let segment: Bytes = segment_result.context("Error reading segment from CopyOutStream")?;
let mut current_chunk: Vec<u8> = mem::take(&mut leftover_buffer);
let mut current_chunk: Vec<u8> = mem::take(&mut leftover_buffer);
current_chunk.extend_from_slice(&segment);
let mut cursor = Cursor::new(&current_chunk[..]);
// --- Phase 2: Task 6 (Handle Header) ---
if !is_header_parsed {
if current_chunk.len() < 19 {
leftover_buffer = current_chunk;
continue 'stream_loop;
continue 'stream_loop;
}
parse_stream_header(&mut cursor)?;
is_header_parsed = true;
}
// --- Phase 3: Tasks 7-9 (Inner Parsing Loop) ---
'parsing_loop: loop {
let safe_position = cursor.position();
// 1. Try to read the 2-byte row header (column count)
let col_count = match cursor.read_i16::<BigEndian>() {
Ok(count) => count,
Err(e) if e.kind() == std::io::ErrorKind::UnexpectedEof => {
@@ -276,38 +250,38 @@ async fn parse_binary_stream(
leftover_buffer.extend_from_slice(&current_chunk[safe_position as usize..]);
break 'parsing_loop;
}
Err(e) => return Err(e.into()),
Err(e) => return Err(e.into()),
};
// 2. Check for end-of-stream trailer
if col_count == -1 {
println!("UncheckedIO: Worker reached end-of-stream trailer.");
leftover_buffer.clear();
break 'stream_loop; // Break the *outer* loop
// println!("UncheckedIO: Worker reached end-of-stream trailer.");
leftover_buffer.clear();
break 'stream_loop;
}
// 3. Try to parse all fields for this row
match parse_row(&mut cursor, &mut builders, &current_chunk) {
Ok(_) => {
rows_processed += 1;
}
Err(e) if e.is::<std::io::Error>() && e.downcast_ref::<std::io::Error>().unwrap().kind() == std::io::ErrorKind::UnexpectedEof => {
// FIX 3: Error handling for std::io::Error
// We check .kind() directly because 'e' is std::io::Error
Err(e) if e.kind() == std::io::ErrorKind::UnexpectedEof => {
cursor.set_position(safe_position);
leftover_buffer.extend_from_slice(&current_chunk[safe_position as usize..]);
break 'parsing_loop;
}
Err(e) => {
return Err(e);
// Explicitly convert std::io::Error to anyhow::Error
return Err(e.into());
}
}
} // End inner 'parsing_loop
} // End outer 'stream_loop
if !leftover_buffer.is_empty() {
return Err(anyhow!("Stream ended with leftover bytes ({}) but no trailer. Data is corrupt.", leftover_buffer.len()));
}
}
if !leftover_buffer.is_empty() {
return Err(anyhow!("Stream ended with leftover bytes ({}) but no trailer.", leftover_buffer.len()));
}
// Finalize all the builders
let final_columns: Vec<ArrayRef> = builders.into_iter().map(|builder| {
match builder {
DynamicBuilder::Int64(mut b) => Arc::new(b.finish()) as ArrayRef,
@@ -315,22 +289,20 @@ async fn parse_binary_stream(
DynamicBuilder::Float64(mut b) => Arc::new(b.finish()) as ArrayRef,
DynamicBuilder::Float32(mut b) => Arc::new(b.finish()) as ArrayRef,
DynamicBuilder::String(mut b) => Arc::new(b.finish()) as ArrayRef,
DynamicBuilder::Boolean(mut b) => Arc::new(b.finish()) as ArrayRef,
DynamicBuilder::Boolean(mut b) => Arc::new(b.finish()) as ArrayRef,
DynamicBuilder::Timestamp(mut b) => Arc::new(b.finish()) as ArrayRef,
DynamicBuilder::Date32(mut b) => Arc::new(b.finish()) as ArrayRef,
}
}).collect();
// Build the Final RecordBatch
let record_batch = RecordBatch::try_new(
arrow_schema.clone(),
final_columns,
).context("Failed to create final Arrow RecordBatch")?;
Ok(record_batch)
}
/// Helper function to parse the 19-byte Postgres binary header.
fn parse_stream_header(cursor: &mut Cursor<&[u8]>) -> Result<()> {
let mut magic_signature = [0u8; 11];
cursor.read_exact(&mut magic_signature).context("Failed to read magic signature")?;
@@ -339,46 +311,39 @@ fn parse_stream_header(cursor: &mut Cursor<&[u8]>) -> Result<()> {
}
let _flags = cursor.read_u32::<BigEndian>().context("Failed to read flags")?;
let _header_ext_len = cursor.read_u32::<BigEndian>().context("Failed to read header extension length")?;
println!("UncheckedIO: Postgres binary header validated.");
Ok(())
}
/// Helper function to parse one full row of data from the cursor.
fn parse_row(
cursor: &mut Cursor<&[u8]>,
builders: &mut [DynamicBuilder],
current_chunk: &[u8] // Needed for partial string reads
) -> Result<(), std::io::Error> { // Returns a specific IO Error
cursor: &mut Cursor<&[u8]>,
builders: &mut [DynamicBuilder],
current_chunk: &[u8]
) -> Result<(), std::io::Error> {
for (i, builder) in builders.iter_mut().enumerate() {
// 1. Read field length (4 bytes)
let field_len_i32 = cursor.read_i32::<BigEndian>()?;
let field_len_i32 = cursor.read_i32::<BigEndian>()?;
if field_len_i32 == -1 {
// Handle NULLs
match builder {
DynamicBuilder::Int64(b) => b.append_null(),
DynamicBuilder::Int32(b) => b.append_null(),
DynamicBuilder::Float64(b) => b.append_null(),
DynamicBuilder::Float32(b) => b.append_null(),
DynamicBuilder::String(b) => b.append_null(),
DynamicBuilder::Boolean(b) => b.append_null(),
DynamicBuilder::Boolean(b) => b.append_null(),
DynamicBuilder::Timestamp(b) => b.append_null(),
DynamicBuilder::Date32(b) => b.append_null(),
}
continue; // Go to the next field in this row
continue;
}
let field_len_usize = field_len_i32 as usize;
// 2. Check if we have enough bytes in *this chunk* for the *entire field*
if (cursor.position() as usize + field_len_usize) > current_chunk.len() {
// Partial read: The field's data is split.
return Err(std::io::Error::new(std::io::ErrorKind::UnexpectedEof, "Partial field read"));
}
// 3. We have enough bytes. Parse it.
match builder {
DynamicBuilder::Int64(b) => {
let val = cursor.read_i64::<BigEndian>()?;
@@ -405,7 +370,7 @@ fn parse_row(
}
DynamicBuilder::Boolean(b) => {
let val_bool = cursor.read_u8()?;
b.append_value(val_bool != 0);
b.append_value(val_bool != 0);
}
DynamicBuilder::Timestamp(b) => {
let pg_micros = cursor.read_i64::<BigEndian>()?;
@@ -423,7 +388,6 @@ fn parse_row(
b.append_value(unix_days);
}
}
} // End field loop
Ok(()) // Row was successfully parsed
}
Ok(())
}