feat(query): new input format framework.

src/query/pipeline/sources/Cargo.toml

@@ -9,17 +9,22 @@ doctest = false
 test = false
 
 [dependencies]
+async-channel = "1.7.1"
+common-arrow = { path = "../../../common/arrow" }
 common-base = { path = "../../../common/base" }
 common-catalog = { path = "../../catalog" }
 common-datablocks = { path = "../../datablocks" }
+common-datavalues = { path = "../../datavalues" }
 common-exception = { path = "../../../common/exception" }
 common-formats = { path = "../../formats" }
 common-io = { path = "../../../common/io" }
 common-meta-types = { path = "../../../meta/types" }
 common-pipeline-core = { path = "../core" }
+common-settings = { path = "../../settings" }
 common-storage = { path = "../../../common/storage" }
 common-streams = { path = "../../streams" }
 
+tracing = "0.1.35"
 async-trait = { version = "0.1.0", package = "async-trait-fn" }
 futures = "0.3.21"
 futures-util = "0.3.21"

src/query/pipeline/sources/src/processors/sources/input_formats/delimiter.rs

@@ -0,0 +1,50 @@
+//  Copyright 2022 Datafuse Labs.
+//
+//  Licensed 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.
+
+use common_exception::ErrorCode;
+use common_exception::Result;
+
+pub enum RecordDelimiter {
+    CRLF,
+    Any(u8),
+}
+
+impl RecordDelimiter {
+    pub fn end(&self) -> u8 {
+        match self {
+            RecordDelimiter::CRLF => b'\n',
+            RecordDelimiter::Any(b) => *b,
+        }
+    }
+}
+
+impl TryFrom<&str> for RecordDelimiter {
+    type Error = ErrorCode;
+    fn try_from(s: &str) -> Result<Self> {
+        match s.len() {
+            1 => Ok(RecordDelimiter::Any(s.as_bytes()[0])),
+            2 if s.eq("\r\n") => Ok(RecordDelimiter::CRLF),
+            _ => Err(ErrorCode::InvalidArgument(format!(
+                "bad RecordDelimiter: '{}'",
+                s
+            ))),
+        }
+    }
+}
+
+impl Default for RecordDelimiter {
+    fn default() -> Self {
+        RecordDelimiter::CRLF
+    }
+}

src/query/pipeline/sources/src/processors/sources/input_formats/impls/input_format_parquet.rs

@@ -0,0 +1,138 @@
+//  Copyright 2022 Datafuse Labs.
+//
+//  Licensed 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.
+
+use std::fmt::Debug;
+use std::fmt::Formatter;
+use std::sync::Arc;
+
+use common_arrow::parquet::metadata::RowGroupMetaData;
+use common_base::base::tokio::sync::mpsc::Receiver;
+use common_datablocks::DataBlock;
+use common_exception::Result;
+use common_pipeline_core::Pipeline;
+use opendal::Object;
+
+use crate::processors::sources::input_formats::input_context::InputContext;
+use crate::processors::sources::input_formats::input_format::FileInfo;
+use crate::processors::sources::input_formats::input_format::InputData;
+use crate::processors::sources::input_formats::input_format::SplitInfo;
+use crate::processors::sources::input_formats::input_pipeline::AligningStateTrait;
+use crate::processors::sources::input_formats::input_pipeline::BlockBuilderTrait;
+use crate::processors::sources::input_formats::input_pipeline::InputFormatPipe;
+use crate::processors::sources::input_formats::input_pipeline::StreamingReadBatch;
+use crate::processors::sources::input_formats::InputFormat;
+
+struct InputFormatParquet;
+
+#[async_trait::async_trait]
+impl InputFormat for InputFormatParquet {
+    async fn read_file_meta(
+        &self,
+        obj: &Object,
+        size: usize,
+    ) -> Result<Option<Arc<dyn InputData>>> {
+        todo!()
+    }
+
+    async fn read_split_meta(
+        &self,
+        obj: &Object,
+        split_info: &SplitInfo,
+    ) -> Result<Option<Box<dyn InputData>>> {
+        todo!()
+    }
+
+    fn split_files(&self, file_infos: Vec<FileInfo>, split_size: usize) -> Vec<SplitInfo> {
+        todo!()
+    }
+
+    fn exec_copy(&self, ctx: Arc<InputContext>, pipeline: &mut Pipeline) -> Result<()> {
+        todo!()
+    }
+
+    fn exec_stream(
+        &self,
+        ctx: Arc<InputContext>,
+        pipeline: &mut Pipeline,
+        input: Receiver<StreamingReadBatch>,
+    ) -> Result<()> {
+        todo!()
+    }
+}
+
+pub struct ParquetFormatPipe;
+
+#[async_trait::async_trait]
+impl InputFormatPipe for ParquetFormatPipe {
+    type ReadBatch = ReadBatch;
+    type RowBatch = RowGroupInMemory;
+    type AligningState = AligningState;
+    type BlockBuilder = ParquetBlockBuilder;
+}
+
+pub struct SplitMeta {
+    row_groups: Vec<RowGroupMetaData>,
+}
+
+pub struct RowGroupInMemory {}
+
+impl Debug for RowGroupInMemory {
+    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
+        write!(f, "RowGroupInMemory")
+    }
+}
+
+#[derive(Debug)]
+pub enum ReadBatch {
+    Buffer(Vec<u8>),
+    RowGroup(RowGroupInMemory),
+}
+
+impl From<Vec<u8>> for ReadBatch {
+    fn from(v: Vec<u8>) -> Self {
+        Self::Buffer(v)
+    }
+}
+
+pub struct ParquetBlockBuilder {
+    ctx: Arc<InputContext>,
+}
+
+impl BlockBuilderTrait for ParquetBlockBuilder {
+    type Pipe = ParquetFormatPipe;
+
+    fn create(ctx: Arc<InputContext>) -> Self {
+        ParquetBlockBuilder { ctx }
+    }
+
+    fn deserialize(&mut self, batch: Option<RowGroupInMemory>) -> Result<Vec<DataBlock>> {
+        todo!()
+    }
+}
+
+pub struct AligningState {
+    buffers: Vec<Vec<u8>>,
+}
+
+impl AligningStateTrait for AligningState {
+    type Pipe = ParquetFormatPipe;
+
+    fn try_create(ctx: &Arc<InputContext>, split_info: &SplitInfo) -> Result<Self> {
+        todo!()
+    }
+
+    fn align(&mut self, read_batch: Option<ReadBatch>) -> Result<Vec<RowGroupInMemory>> {
+        todo!()
+    }
+}

src/query/pipeline/sources/src/processors/sources/input_formats/impls/input_format_tsv.rs

@@ -0,0 +1,116 @@
+//  Copyright 2022 Datafuse Labs.
+//
+//  Licensed 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.
+
+use common_datavalues::TypeDeserializer;
+use common_exception::ErrorCode;
+use common_exception::Result;
+use common_io::prelude::BufferReadExt;
+use common_io::prelude::FormatSettings;
+use common_io::prelude::NestedCheckpointReader;
+
+use crate::processors::sources::input_formats::input_format_text::AligningState;
+use crate::processors::sources::input_formats::input_format_text::BlockBuilder;
+use crate::processors::sources::input_formats::input_format_text::InputFormatTextBase;
+use crate::processors::sources::input_formats::input_format_text::RowBatch;
+
+pub struct InputFormatTSV {}
+
+impl InputFormatTSV {
+    fn read_row(
+        buf: &[u8],
+        deserializers: &mut Vec<common_datavalues::TypeDeserializerImpl>,
+        format_settings: &FormatSettings,
+        path: &str,
+        offset: usize,
+        row_index: Option<usize>,
+    ) -> Result<()> {
+        let len = deserializers.len();
+        let mut n_col = 0;
+        let mut field_start = 0;
+        let mut pos = 0;
+        let mut err_msg = None;
+        for b in buf.iter() {
+            if *b == b'\t' {
+                let col_data = &buf[field_start..pos];
+                if col_data.is_empty() {
+                    deserializers[n_col].de_default(format_settings);
+                } else {
+                    let mut reader = NestedCheckpointReader::new(col_data);
+                    reader.ignores(|c: u8| c == b' ').expect("must success");
+                    if let Err(e) = deserializers[n_col].de_text(&mut reader, format_settings) {
+                        err_msg = Some(format!(
+                            "fail to decode column {}: {:?}, [column_data]=[{}]",
+                            n_col, e, ""
+                        ));
+                        break;
+                    };
+                    // todo(youngsofun): check remaining data
+                }
+                n_col += 1;
+                field_start = pos + 1;
+                if n_col > len {
+                    err_msg = Some("too many columns".to_string());
+                    break;
+                }
+            }
+            pos += 1;
+        }
+        if n_col < len {
+            // todo(youngsofun): allow it optionally (set default)
+            err_msg = Some(format!("need {} columns, find {} only", len, n_col).to_string());
+        }
+        if let Some(m) = err_msg {
+            let row_info = if let Some(r) = row_index {
+                format!("at row {},", r)
+            } else {
+                String::new()
+            };
+            let msg = format!(
+                "fail to parse tsv {} at offset {}, {}, reason={}",
+                path,
+                offset + pos,
+                row_info,
+                m
+            );
+            Err(ErrorCode::BadBytes(msg))
+        } else {
+            Ok(())
+        }
+    }
+}
+
+impl InputFormatTextBase for InputFormatTSV {
+    fn deserialize(builder: &mut BlockBuilder<Self>, batch: RowBatch) -> Result<()> {
+        let columns = &mut builder.mutable_columns;
+        let mut start = 0usize;
+        let start_row = batch.start_row;
+        for (i, end) in batch.row_ends.iter().enumerate() {
+            let buf = &batch.data[start..*end];
+            Self::read_row(
+                buf,
+                columns,
+                &builder.ctx.format_settings,
+                &batch.path,
+                batch.offset + start,
+                start_row.map(|n| n + i),
+            )?;
+            start = *end;
+        }
+        Ok(())
+    }
+
+    fn align(state: &mut AligningState<Self>, buf: &[u8]) -> Result<Vec<RowBatch>> {
+        Ok(state.align_by_row_delimiter(buf))
+    }
+}

src/query/pipeline/sources/src/processors/sources/input_formats/impls/mod.rs

@@ -0,0 +1,16 @@
+//  Copyright 2022 Datafuse Labs.
+//
+//  Licensed 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.
+
+pub mod input_format_parquet;
+pub mod input_format_tsv;