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// 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.
//! User facing options for the file formats readers
use std::sync::Arc;
use arrow::datatypes::{DataType, Schema, SchemaRef};
use async_trait::async_trait;
use crate::datasource::file_format::arrow::ArrowFormat;
use crate::datasource::file_format::file_compression_type::FileCompressionType;
#[cfg(feature = "parquet")]
use crate::datasource::file_format::parquet::ParquetFormat;
use crate::datasource::file_format::DEFAULT_SCHEMA_INFER_MAX_RECORD;
use crate::datasource::listing::ListingTableUrl;
use crate::datasource::{
file_format::{avro::AvroFormat, csv::CsvFormat, json::JsonFormat},
listing::ListingOptions,
};
use crate::error::Result;
use crate::execution::context::{SessionConfig, SessionState};
use crate::logical_expr::Expr;
use datafusion_common::{
DEFAULT_ARROW_EXTENSION, DEFAULT_AVRO_EXTENSION, DEFAULT_CSV_EXTENSION,
DEFAULT_JSON_EXTENSION, DEFAULT_PARQUET_EXTENSION,
};
/// Options that control the reading of CSV files.
///
/// Note this structure is supplied when a datasource is created and
/// can not not vary from statement to statement. For settings that
/// can vary statement to statement see
/// [`ConfigOptions`](crate::config::ConfigOptions).
#[derive(Clone)]
pub struct CsvReadOptions<'a> {
/// Does the CSV file have a header?
///
/// If schema inference is run on a file with no headers, default column names
/// are created.
pub has_header: bool,
/// An optional column delimiter. Defaults to `b','`.
pub delimiter: u8,
/// An optional quote character. Defaults to `b'"'`.
pub quote: u8,
/// An optional escape character. Defaults to None.
pub escape: Option<u8>,
/// An optional schema representing the CSV files. If None, CSV reader will try to infer it
/// based on data in file.
pub schema: Option<&'a Schema>,
/// Max number of rows to read from CSV files for schema inference if needed. Defaults to `DEFAULT_SCHEMA_INFER_MAX_RECORD`.
pub schema_infer_max_records: usize,
/// File extension; only files with this extension are selected for data input.
/// Defaults to `FileType::CSV.get_ext().as_str()`.
pub file_extension: &'a str,
/// Partition Columns
pub table_partition_cols: Vec<(String, DataType)>,
/// File compression type
pub file_compression_type: FileCompressionType,
/// Indicates how the file is sorted
pub file_sort_order: Vec<Vec<Expr>>,
}
impl<'a> Default for CsvReadOptions<'a> {
fn default() -> Self {
Self::new()
}
}
impl<'a> CsvReadOptions<'a> {
/// Create a CSV read option with default presets
pub fn new() -> Self {
Self {
has_header: true,
schema: None,
schema_infer_max_records: DEFAULT_SCHEMA_INFER_MAX_RECORD,
delimiter: b',',
quote: b'"',
escape: None,
file_extension: DEFAULT_CSV_EXTENSION,
table_partition_cols: vec![],
file_compression_type: FileCompressionType::UNCOMPRESSED,
file_sort_order: vec![],
}
}
/// Configure has_header setting
pub fn has_header(mut self, has_header: bool) -> Self {
self.has_header = has_header;
self
}
/// Specify delimiter to use for CSV read
pub fn delimiter(mut self, delimiter: u8) -> Self {
self.delimiter = delimiter;
self
}
/// Specify quote to use for CSV read
pub fn quote(mut self, quote: u8) -> Self {
self.quote = quote;
self
}
/// Specify delimiter to use for CSV read
pub fn escape(mut self, escape: u8) -> Self {
self.escape = Some(escape);
self
}
/// Specify the file extension for CSV file selection
pub fn file_extension(mut self, file_extension: &'a str) -> Self {
self.file_extension = file_extension;
self
}
/// Configure delimiter setting with Option, None value will be ignored
pub fn delimiter_option(mut self, delimiter: Option<u8>) -> Self {
if let Some(d) = delimiter {
self.delimiter = d;
}
self
}
/// Specify schema to use for CSV read
pub fn schema(mut self, schema: &'a Schema) -> Self {
self.schema = Some(schema);
self
}
/// Specify table_partition_cols for partition pruning
pub fn table_partition_cols(
mut self,
table_partition_cols: Vec<(String, DataType)>,
) -> Self {
self.table_partition_cols = table_partition_cols;
self
}
/// Configure number of max records to read for schema inference
pub fn schema_infer_max_records(mut self, max_records: usize) -> Self {
self.schema_infer_max_records = max_records;
self
}
/// Configure file compression type
pub fn file_compression_type(
mut self,
file_compression_type: FileCompressionType,
) -> Self {
self.file_compression_type = file_compression_type;
self
}
/// Configure if file has known sort order
pub fn file_sort_order(mut self, file_sort_order: Vec<Vec<Expr>>) -> Self {
self.file_sort_order = file_sort_order;
self
}
}
/// Options that control the reading of Parquet files.
///
/// Note this structure is supplied when a datasource is created and
/// can not not vary from statement to statement. For settings that
/// can vary statement to statement see
/// [`ConfigOptions`](crate::config::ConfigOptions).
#[derive(Clone)]
pub struct ParquetReadOptions<'a> {
/// File extension; only files with this extension are selected for data input.
/// Defaults to ".parquet".
pub file_extension: &'a str,
/// Partition Columns
pub table_partition_cols: Vec<(String, DataType)>,
/// Should the parquet reader use the predicate to prune row groups?
/// If None, uses value in SessionConfig
pub parquet_pruning: Option<bool>,
/// Should the parquet reader to skip any metadata that may be in
/// the file Schema? This can help avoid schema conflicts due to
/// metadata.
///
/// If None specified, uses value in SessionConfig
pub skip_metadata: Option<bool>,
/// An optional schema representing the parquet files. If None, parquet reader will try to infer it
/// based on data in file.
pub schema: Option<&'a Schema>,
/// Indicates how the file is sorted
pub file_sort_order: Vec<Vec<Expr>>,
}
impl<'a> Default for ParquetReadOptions<'a> {
fn default() -> Self {
Self {
file_extension: DEFAULT_PARQUET_EXTENSION,
table_partition_cols: vec![],
parquet_pruning: None,
skip_metadata: None,
schema: None,
file_sort_order: vec![],
}
}
}
impl<'a> ParquetReadOptions<'a> {
/// Specify parquet_pruning
pub fn parquet_pruning(mut self, parquet_pruning: bool) -> Self {
self.parquet_pruning = Some(parquet_pruning);
self
}
/// Tell the parquet reader to skip any metadata that may be in
/// the file Schema. This can help avoid schema conflicts due to
/// metadata. Defaults to true.
pub fn skip_metadata(mut self, skip_metadata: bool) -> Self {
self.skip_metadata = Some(skip_metadata);
self
}
/// Specify schema to use for parquet read
pub fn schema(mut self, schema: &'a Schema) -> Self {
self.schema = Some(schema);
self
}
/// Specify table_partition_cols for partition pruning
pub fn table_partition_cols(
mut self,
table_partition_cols: Vec<(String, DataType)>,
) -> Self {
self.table_partition_cols = table_partition_cols;
self
}
/// Configure if file has known sort order
pub fn file_sort_order(mut self, file_sort_order: Vec<Vec<Expr>>) -> Self {
self.file_sort_order = file_sort_order;
self
}
}
/// Options that control the reading of ARROW files.
///
/// Note this structure is supplied when a datasource is created and
/// can not not vary from statement to statement. For settings that
/// can vary statement to statement see
/// [`ConfigOptions`](crate::config::ConfigOptions).
#[derive(Clone)]
pub struct ArrowReadOptions<'a> {
/// The data source schema.
pub schema: Option<&'a Schema>,
/// File extension; only files with this extension are selected for data input.
/// Defaults to `FileType::ARROW.get_ext().as_str()`.
pub file_extension: &'a str,
/// Partition Columns
pub table_partition_cols: Vec<(String, DataType)>,
}
impl<'a> Default for ArrowReadOptions<'a> {
fn default() -> Self {
Self {
schema: None,
file_extension: DEFAULT_ARROW_EXTENSION,
table_partition_cols: vec![],
}
}
}
impl<'a> ArrowReadOptions<'a> {
/// Specify table_partition_cols for partition pruning
pub fn table_partition_cols(
mut self,
table_partition_cols: Vec<(String, DataType)>,
) -> Self {
self.table_partition_cols = table_partition_cols;
self
}
/// Specify schema to use for AVRO read
pub fn schema(mut self, schema: &'a Schema) -> Self {
self.schema = Some(schema);
self
}
}
/// Options that control the reading of AVRO files.
///
/// Note this structure is supplied when a datasource is created and
/// can not not vary from statement to statement. For settings that
/// can vary statement to statement see
/// [`ConfigOptions`](crate::config::ConfigOptions).
#[derive(Clone)]
pub struct AvroReadOptions<'a> {
/// The data source schema.
pub schema: Option<&'a Schema>,
/// File extension; only files with this extension are selected for data input.
/// Defaults to `FileType::AVRO.get_ext().as_str()`.
pub file_extension: &'a str,
/// Partition Columns
pub table_partition_cols: Vec<(String, DataType)>,
}
impl<'a> Default for AvroReadOptions<'a> {
fn default() -> Self {
Self {
schema: None,
file_extension: DEFAULT_AVRO_EXTENSION,
table_partition_cols: vec![],
}
}
}
impl<'a> AvroReadOptions<'a> {
/// Specify table_partition_cols for partition pruning
pub fn table_partition_cols(
mut self,
table_partition_cols: Vec<(String, DataType)>,
) -> Self {
self.table_partition_cols = table_partition_cols;
self
}
/// Specify schema to use for AVRO read
pub fn schema(mut self, schema: &'a Schema) -> Self {
self.schema = Some(schema);
self
}
}
/// Options that control the reading of Line-delimited JSON files (NDJson)
///
/// Note this structure is supplied when a datasource is created and
/// can not not vary from statement to statement. For settings that
/// can vary statement to statement see
/// [`ConfigOptions`](crate::config::ConfigOptions).
#[derive(Clone)]
pub struct NdJsonReadOptions<'a> {
/// The data source schema.
pub schema: Option<&'a Schema>,
/// Max number of rows to read from JSON files for schema inference if needed. Defaults to `DEFAULT_SCHEMA_INFER_MAX_RECORD`.
pub schema_infer_max_records: usize,
/// File extension; only files with this extension are selected for data input.
/// Defaults to `FileType::JSON.get_ext().as_str()`.
pub file_extension: &'a str,
/// Partition Columns
pub table_partition_cols: Vec<(String, DataType)>,
/// File compression type
pub file_compression_type: FileCompressionType,
/// Flag indicating whether this file may be unbounded (as in a FIFO file).
pub infinite: bool,
/// Indicates how the file is sorted
pub file_sort_order: Vec<Vec<Expr>>,
}
impl<'a> Default for NdJsonReadOptions<'a> {
fn default() -> Self {
Self {
schema: None,
schema_infer_max_records: DEFAULT_SCHEMA_INFER_MAX_RECORD,
file_extension: DEFAULT_JSON_EXTENSION,
table_partition_cols: vec![],
file_compression_type: FileCompressionType::UNCOMPRESSED,
infinite: false,
file_sort_order: vec![],
}
}
}
impl<'a> NdJsonReadOptions<'a> {
/// Specify table_partition_cols for partition pruning
pub fn table_partition_cols(
mut self,
table_partition_cols: Vec<(String, DataType)>,
) -> Self {
self.table_partition_cols = table_partition_cols;
self
}
/// Specify file_extension
pub fn file_extension(mut self, file_extension: &'a str) -> Self {
self.file_extension = file_extension;
self
}
/// Configure mark_infinite setting
pub fn mark_infinite(mut self, infinite: bool) -> Self {
self.infinite = infinite;
self
}
/// Specify file_compression_type
pub fn file_compression_type(
mut self,
file_compression_type: FileCompressionType,
) -> Self {
self.file_compression_type = file_compression_type;
self
}
/// Specify schema to use for NdJson read
pub fn schema(mut self, schema: &'a Schema) -> Self {
self.schema = Some(schema);
self
}
/// Configure if file has known sort order
pub fn file_sort_order(mut self, file_sort_order: Vec<Vec<Expr>>) -> Self {
self.file_sort_order = file_sort_order;
self
}
}
#[async_trait]
/// ['ReadOptions'] is implemented by Options like ['CsvReadOptions'] that control the reading of respective files/sources.
pub trait ReadOptions<'a> {
/// Helper to convert these user facing options to `ListingTable` options
fn to_listing_options(&self, config: &SessionConfig) -> ListingOptions;
/// Infer and resolve the schema from the files/sources provided.
async fn get_resolved_schema(
&self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
) -> Result<SchemaRef>;
/// helper function to reduce repetitive code. Infers the schema from sources if not provided. Infinite data sources not supported through this function.
async fn _get_resolved_schema(
&'a self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
schema: Option<&'a Schema>,
) -> Result<SchemaRef>
where
'a: 'async_trait,
{
if let Some(s) = schema {
return Ok(Arc::new(s.to_owned()));
}
self.to_listing_options(config)
.infer_schema(&state, &table_path)
.await
}
}
#[async_trait]
impl ReadOptions<'_> for CsvReadOptions<'_> {
fn to_listing_options(&self, config: &SessionConfig) -> ListingOptions {
let file_format = CsvFormat::default()
.with_has_header(self.has_header)
.with_delimiter(self.delimiter)
.with_quote(self.quote)
.with_escape(self.escape)
.with_schema_infer_max_rec(Some(self.schema_infer_max_records))
.with_file_compression_type(self.file_compression_type.to_owned());
ListingOptions::new(Arc::new(file_format))
.with_file_extension(self.file_extension)
.with_target_partitions(config.target_partitions())
.with_table_partition_cols(self.table_partition_cols.clone())
.with_file_sort_order(self.file_sort_order.clone())
}
async fn get_resolved_schema(
&self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
) -> Result<SchemaRef> {
self._get_resolved_schema(config, state, table_path, self.schema)
.await
}
}
#[cfg(feature = "parquet")]
#[async_trait]
impl ReadOptions<'_> for ParquetReadOptions<'_> {
fn to_listing_options(&self, config: &SessionConfig) -> ListingOptions {
let file_format = ParquetFormat::new()
.with_enable_pruning(self.parquet_pruning)
.with_skip_metadata(self.skip_metadata);
ListingOptions::new(Arc::new(file_format))
.with_file_extension(self.file_extension)
.with_target_partitions(config.target_partitions())
.with_table_partition_cols(self.table_partition_cols.clone())
.with_file_sort_order(self.file_sort_order.clone())
}
async fn get_resolved_schema(
&self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
) -> Result<SchemaRef> {
self._get_resolved_schema(config, state, table_path, self.schema)
.await
}
}
#[async_trait]
impl ReadOptions<'_> for NdJsonReadOptions<'_> {
fn to_listing_options(&self, config: &SessionConfig) -> ListingOptions {
let file_format = JsonFormat::default()
.with_schema_infer_max_rec(Some(self.schema_infer_max_records))
.with_file_compression_type(self.file_compression_type.to_owned());
ListingOptions::new(Arc::new(file_format))
.with_file_extension(self.file_extension)
.with_target_partitions(config.target_partitions())
.with_table_partition_cols(self.table_partition_cols.clone())
.with_file_sort_order(self.file_sort_order.clone())
}
async fn get_resolved_schema(
&self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
) -> Result<SchemaRef> {
self._get_resolved_schema(config, state, table_path, self.schema)
.await
}
}
#[async_trait]
impl ReadOptions<'_> for AvroReadOptions<'_> {
fn to_listing_options(&self, config: &SessionConfig) -> ListingOptions {
let file_format = AvroFormat;
ListingOptions::new(Arc::new(file_format))
.with_file_extension(self.file_extension)
.with_target_partitions(config.target_partitions())
.with_table_partition_cols(self.table_partition_cols.clone())
}
async fn get_resolved_schema(
&self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
) -> Result<SchemaRef> {
self._get_resolved_schema(config, state, table_path, self.schema)
.await
}
}
#[async_trait]
impl ReadOptions<'_> for ArrowReadOptions<'_> {
fn to_listing_options(&self, config: &SessionConfig) -> ListingOptions {
let file_format = ArrowFormat;
ListingOptions::new(Arc::new(file_format))
.with_file_extension(self.file_extension)
.with_target_partitions(config.target_partitions())
.with_table_partition_cols(self.table_partition_cols.clone())
}
async fn get_resolved_schema(
&self,
config: &SessionConfig,
state: SessionState,
table_path: ListingTableUrl,
) -> Result<SchemaRef> {
self._get_resolved_schema(config, state, table_path, self.schema)
.await
}
}