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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.
use std::{
any::{Any, TypeId},
collections::HashMap,
hash::{BuildHasherDefault, Hasher},
sync::Arc,
};
use datafusion_common::{
config::{ConfigExtension, ConfigOptions},
Result, ScalarValue,
};
/// Configuration options for [`SessionContext`].
///
/// Can be passed to [`SessionContext::new_with_config`] to customize the configuration of DataFusion.
///
/// Options can be set using namespaces keys with `.` as the separator, where the
/// namespace determines which configuration struct the value to routed to. All
/// built-in options are under the `datafusion` namespace.
///
/// For example, the key `datafusion.execution.batch_size` will set [ExecutionOptions::batch_size][datafusion_common::config::ExecutionOptions::batch_size],
/// because [ConfigOptions::execution] is [ExecutionOptions][datafusion_common::config::ExecutionOptions]. Similarly, the key
/// `datafusion.execution.parquet.pushdown_filters` will set [ParquetOptions::pushdown_filters][datafusion_common::config::ParquetOptions::pushdown_filters],
/// since [ExecutionOptions::parquet][datafusion_common::config::ExecutionOptions::parquet] is [ParquetOptions][datafusion_common::config::ParquetOptions].
///
/// Some options have convenience methods. For example [SessionConfig::with_batch_size] is
/// shorthand for setting `datafusion.execution.batch_size`.
///
/// ```
/// use datafusion_execution::config::SessionConfig;
/// use datafusion_common::ScalarValue;
///
/// let config = SessionConfig::new()
/// .set("datafusion.execution.batch_size", ScalarValue::UInt64(Some(1234)))
/// .set_bool("datafusion.execution.parquet.pushdown_filters", true);
///
/// assert_eq!(config.batch_size(), 1234);
/// assert_eq!(config.options().execution.batch_size, 1234);
/// assert_eq!(config.options().execution.parquet.pushdown_filters, true);
/// ```
///
/// You can also directly mutate the options via [SessionConfig::options_mut].
/// So the following is equivalent to the above:
///
/// ```
/// # use datafusion_execution::config::SessionConfig;
/// # use datafusion_common::ScalarValue;
/// #
/// let mut config = SessionConfig::new();
/// config.options_mut().execution.batch_size = 1234;
/// config.options_mut().execution.parquet.pushdown_filters = true;
/// #
/// # assert_eq!(config.batch_size(), 1234);
/// # assert_eq!(config.options().execution.batch_size, 1234);
/// # assert_eq!(config.options().execution.parquet.pushdown_filters, true);
/// ```
///
/// ## Built-in options
///
/// | Namespace | Config struct |
/// | --------- | ------------- |
/// | `datafusion.catalog` | [CatalogOptions][datafusion_common::config::CatalogOptions] |
/// | `datafusion.execution` | [ExecutionOptions][datafusion_common::config::ExecutionOptions] |
/// | `datafusion.execution.aggregate` | [AggregateOptions][datafusion_common::config::AggregateOptions] |
/// | `datafusion.execution.parquet` | [ParquetOptions][datafusion_common::config::ParquetOptions] |
/// | `datafusion.optimizer` | [OptimizerOptions][datafusion_common::config::OptimizerOptions] |
/// | `datafusion.sql_parser` | [SqlParserOptions][datafusion_common::config::SqlParserOptions] |
/// | `datafusion.explain` | [ExplainOptions][datafusion_common::config::ExplainOptions] |
///
/// ## Custom configuration
///
/// Configuration options can be extended. See [SessionConfig::with_extension] for details.
///
/// [`SessionContext`]: https://docs.rs/datafusion/latest/datafusion/execution/context/struct.SessionContext.html
/// [`SessionContext::new_with_config`]: https://docs.rs/datafusion/latest/datafusion/execution/context/struct.SessionContext.html#method.new_with_config
#[derive(Clone, Debug)]
pub struct SessionConfig {
/// Configuration options
options: ConfigOptions,
/// Opaque extensions.
extensions: AnyMap,
}
impl Default for SessionConfig {
fn default() -> Self {
Self {
options: ConfigOptions::new(),
// Assume no extensions by default.
extensions: HashMap::with_capacity_and_hasher(
0,
BuildHasherDefault::default(),
),
}
}
}
impl SessionConfig {
/// Create an execution config with default setting
pub fn new() -> Self {
Default::default()
}
/// Create an execution config with config options read from the environment
pub fn from_env() -> Result<Self> {
Ok(ConfigOptions::from_env()?.into())
}
/// Create new ConfigOptions struct, taking values from a string hash map.
pub fn from_string_hash_map(settings: HashMap<String, String>) -> Result<Self> {
Ok(ConfigOptions::from_string_hash_map(settings)?.into())
}
/// Return a handle to the configuration options.
///
/// Can be used to read the current configuration.
///
/// ```
/// use datafusion_execution::config::SessionConfig;
///
/// let config = SessionConfig::new();
/// assert!(config.options().execution.batch_size > 0);
/// ```
pub fn options(&self) -> &ConfigOptions {
&self.options
}
/// Return a mutable handle to the configuration options.
///
/// Can be used to set configuration options.
///
/// ```
/// use datafusion_execution::config::SessionConfig;
///
/// let mut config = SessionConfig::new();
/// config.options_mut().execution.batch_size = 1024;
/// assert_eq!(config.options().execution.batch_size, 1024);
/// ```
pub fn options_mut(&mut self) -> &mut ConfigOptions {
&mut self.options
}
/// Set a configuration option
pub fn set(self, key: &str, value: ScalarValue) -> Self {
self.set_str(key, &value.to_string())
}
/// Set a boolean configuration option
pub fn set_bool(self, key: &str, value: bool) -> Self {
self.set_str(key, &value.to_string())
}
/// Set a generic `u64` configuration option
pub fn set_u64(self, key: &str, value: u64) -> Self {
self.set_str(key, &value.to_string())
}
/// Set a generic `usize` configuration option
pub fn set_usize(self, key: &str, value: usize) -> Self {
self.set_str(key, &value.to_string())
}
/// Set a generic `str` configuration option
pub fn set_str(mut self, key: &str, value: &str) -> Self {
self.options.set(key, value).unwrap();
self
}
/// Customize batch size
pub fn with_batch_size(mut self, n: usize) -> Self {
// batch size must be greater than zero
assert!(n > 0);
self.options.execution.batch_size = n;
self
}
/// Customize [`target_partitions`]
///
/// [`target_partitions`]: datafusion_common::config::ExecutionOptions::target_partitions
pub fn with_target_partitions(mut self, n: usize) -> Self {
// partition count must be greater than zero
assert!(n > 0);
self.options.execution.target_partitions = n;
self
}
/// Insert new [ConfigExtension]
pub fn with_option_extension<T: ConfigExtension>(mut self, extension: T) -> Self {
self.options_mut().extensions.insert(extension);
self
}
/// Get [`target_partitions`]
///
/// [`target_partitions`]: datafusion_common::config::ExecutionOptions::target_partitions
pub fn target_partitions(&self) -> usize {
self.options.execution.target_partitions
}
/// Is the information schema enabled?
pub fn information_schema(&self) -> bool {
self.options.catalog.information_schema
}
/// Should the context create the default catalog and schema?
pub fn create_default_catalog_and_schema(&self) -> bool {
self.options.catalog.create_default_catalog_and_schema
}
/// Are joins repartitioned during execution?
pub fn repartition_joins(&self) -> bool {
self.options.optimizer.repartition_joins
}
/// Are aggregates repartitioned during execution?
pub fn repartition_aggregations(&self) -> bool {
self.options.optimizer.repartition_aggregations
}
/// Are window functions repartitioned during execution?
pub fn repartition_window_functions(&self) -> bool {
self.options.optimizer.repartition_windows
}
/// Do we execute sorts in a per-partition fashion and merge afterwards,
/// or do we coalesce partitions first and sort globally?
pub fn repartition_sorts(&self) -> bool {
self.options.optimizer.repartition_sorts
}
/// Prefer existing sort (true) or maximize parallelism (false). See
/// [prefer_existing_sort] for more details
///
/// [prefer_existing_sort]: datafusion_common::config::OptimizerOptions::prefer_existing_sort
pub fn prefer_existing_sort(&self) -> bool {
self.options.optimizer.prefer_existing_sort
}
/// Are statistics collected during execution?
pub fn collect_statistics(&self) -> bool {
self.options.execution.collect_statistics
}
/// Selects a name for the default catalog and schema
pub fn with_default_catalog_and_schema(
mut self,
catalog: impl Into<String>,
schema: impl Into<String>,
) -> Self {
self.options.catalog.default_catalog = catalog.into();
self.options.catalog.default_schema = schema.into();
self
}
/// Controls whether the default catalog and schema will be automatically created
pub fn with_create_default_catalog_and_schema(mut self, create: bool) -> Self {
self.options.catalog.create_default_catalog_and_schema = create;
self
}
/// Enables or disables the inclusion of `information_schema` virtual tables
pub fn with_information_schema(mut self, enabled: bool) -> Self {
self.options.catalog.information_schema = enabled;
self
}
/// Enables or disables the use of repartitioning for joins to improve parallelism
pub fn with_repartition_joins(mut self, enabled: bool) -> Self {
self.options.optimizer.repartition_joins = enabled;
self
}
/// Enables or disables the use of repartitioning for aggregations to improve parallelism
pub fn with_repartition_aggregations(mut self, enabled: bool) -> Self {
self.options.optimizer.repartition_aggregations = enabled;
self
}
/// Sets minimum file range size for repartitioning scans
pub fn with_repartition_file_min_size(mut self, size: usize) -> Self {
self.options.optimizer.repartition_file_min_size = size;
self
}
/// Enables or disables the allowing unordered symmetric hash join
pub fn with_allow_symmetric_joins_without_pruning(mut self, enabled: bool) -> Self {
self.options.optimizer.allow_symmetric_joins_without_pruning = enabled;
self
}
/// Enables or disables the use of repartitioning for file scans
pub fn with_repartition_file_scans(mut self, enabled: bool) -> Self {
self.options.optimizer.repartition_file_scans = enabled;
self
}
/// Enables or disables the use of repartitioning for window functions to improve parallelism
pub fn with_repartition_windows(mut self, enabled: bool) -> Self {
self.options.optimizer.repartition_windows = enabled;
self
}
/// Enables or disables the use of per-partition sorting to improve parallelism
pub fn with_repartition_sorts(mut self, enabled: bool) -> Self {
self.options.optimizer.repartition_sorts = enabled;
self
}
/// Prefer existing sort (true) or maximize parallelism (false). See
/// [prefer_existing_sort] for more details
///
/// [prefer_existing_sort]: datafusion_common::config::OptimizerOptions::prefer_existing_sort
pub fn with_prefer_existing_sort(mut self, enabled: bool) -> Self {
self.options.optimizer.prefer_existing_sort = enabled;
self
}
/// Prefer existing union (true). See [prefer_existing_union] for more details
///
/// [prefer_existing_union]: datafusion_common::config::OptimizerOptions::prefer_existing_union
pub fn with_prefer_existing_union(mut self, enabled: bool) -> Self {
self.options.optimizer.prefer_existing_union = enabled;
self
}
/// Enables or disables the use of pruning predicate for parquet readers to skip row groups
pub fn with_parquet_pruning(mut self, enabled: bool) -> Self {
self.options.execution.parquet.pruning = enabled;
self
}
/// Returns true if pruning predicate should be used to skip parquet row groups
pub fn parquet_pruning(&self) -> bool {
self.options.execution.parquet.pruning
}
/// Returns true if bloom filter should be used to skip parquet row groups
pub fn parquet_bloom_filter_pruning(&self) -> bool {
self.options.execution.parquet.bloom_filter_on_read
}
/// Enables or disables the use of bloom filter for parquet readers to skip row groups
pub fn with_parquet_bloom_filter_pruning(mut self, enabled: bool) -> Self {
self.options.execution.parquet.bloom_filter_on_read = enabled;
self
}
/// Returns true if page index should be used to skip parquet data pages
pub fn parquet_page_index_pruning(&self) -> bool {
self.options.execution.parquet.enable_page_index
}
/// Enables or disables the use of page index for parquet readers to skip parquet data pages
pub fn with_parquet_page_index_pruning(mut self, enabled: bool) -> Self {
self.options.execution.parquet.enable_page_index = enabled;
self
}
/// Enables or disables the collection of statistics after listing files
pub fn with_collect_statistics(mut self, enabled: bool) -> Self {
self.options.execution.collect_statistics = enabled;
self
}
/// Get the currently configured batch size
pub fn batch_size(&self) -> usize {
self.options.execution.batch_size
}
/// Get the currently configured scalar_update_factor for aggregate
pub fn agg_scalar_update_factor(&self) -> usize {
self.options.execution.aggregate.scalar_update_factor
}
/// Customize scalar_update_factor for aggregate
pub fn with_agg_scalar_update_factor(mut self, n: usize) -> Self {
// scalar update factor must be greater than zero
assert!(n > 0);
self.options.execution.aggregate.scalar_update_factor = n;
self
}
/// Enables or disables the coalescence of small batches into larger batches
pub fn with_coalesce_batches(mut self, enabled: bool) -> Self {
self.options.execution.coalesce_batches = enabled;
self
}
/// Returns true if record batches will be examined between each operator
/// and small batches will be coalesced into larger batches.
pub fn coalesce_batches(&self) -> bool {
self.options.execution.coalesce_batches
}
/// Enables or disables the round robin repartition for increasing parallelism
pub fn with_round_robin_repartition(mut self, enabled: bool) -> Self {
self.options.optimizer.enable_round_robin_repartition = enabled;
self
}
/// Returns true if the physical plan optimizer will try to
/// add round robin repartition to increase parallelism to leverage more CPU cores.
pub fn round_robin_repartition(&self) -> bool {
self.options.optimizer.enable_round_robin_repartition
}
/// Set the size of [`sort_spill_reservation_bytes`] to control
/// memory pre-reservation
///
/// [`sort_spill_reservation_bytes`]: datafusion_common::config::ExecutionOptions::sort_spill_reservation_bytes
pub fn with_sort_spill_reservation_bytes(
mut self,
sort_spill_reservation_bytes: usize,
) -> Self {
self.options.execution.sort_spill_reservation_bytes =
sort_spill_reservation_bytes;
self
}
/// Set the size of [`sort_in_place_threshold_bytes`] to control
/// how sort does things.
///
/// [`sort_in_place_threshold_bytes`]: datafusion_common::config::ExecutionOptions::sort_in_place_threshold_bytes
pub fn with_sort_in_place_threshold_bytes(
mut self,
sort_in_place_threshold_bytes: usize,
) -> Self {
self.options.execution.sort_in_place_threshold_bytes =
sort_in_place_threshold_bytes;
self
}
/// Convert configuration options to name-value pairs with values
/// converted to strings.
///
/// Note that this method will eventually be deprecated and
/// replaced by [`options`].
///
/// [`options`]: Self::options
pub fn to_props(&self) -> HashMap<String, String> {
let mut map = HashMap::new();
// copy configs from config_options
for entry in self.options.entries() {
map.insert(entry.key, entry.value.unwrap_or_default());
}
map
}
/// Add extensions.
///
/// Extensions can be used to attach extra data to the session config -- e.g. tracing information or caches.
/// Extensions are opaque and the types are unknown to DataFusion itself, which makes them extremely flexible. [^1]
///
/// Extensions are stored within an [`Arc`] so they do NOT require [`Clone`]. The are immutable. If you need to
/// modify their state over their lifetime -- e.g. for caches -- you need to establish some for of interior mutability.
///
/// Extensions are indexed by their type `T`. If multiple values of the same type are provided, only the last one
/// will be kept.
///
/// You may use [`get_extension`](Self::get_extension) to retrieve extensions.
///
/// # Example
/// ```
/// use std::sync::Arc;
/// use datafusion_execution::config::SessionConfig;
///
/// // application-specific extension types
/// struct Ext1(u8);
/// struct Ext2(u8);
/// struct Ext3(u8);
///
/// let ext1a = Arc::new(Ext1(10));
/// let ext1b = Arc::new(Ext1(11));
/// let ext2 = Arc::new(Ext2(2));
///
/// let cfg = SessionConfig::default()
/// // will only remember the last Ext1
/// .with_extension(Arc::clone(&ext1a))
/// .with_extension(Arc::clone(&ext1b))
/// .with_extension(Arc::clone(&ext2));
///
/// let ext1_received = cfg.get_extension::<Ext1>().unwrap();
/// assert!(!Arc::ptr_eq(&ext1_received, &ext1a));
/// assert!(Arc::ptr_eq(&ext1_received, &ext1b));
///
/// let ext2_received = cfg.get_extension::<Ext2>().unwrap();
/// assert!(Arc::ptr_eq(&ext2_received, &ext2));
///
/// assert!(cfg.get_extension::<Ext3>().is_none());
/// ```
///
/// [^1]: Compare that to [`ConfigOptions`] which only supports [`ScalarValue`] payloads.
pub fn with_extension<T>(mut self, ext: Arc<T>) -> Self
where
T: Send + Sync + 'static,
{
self.set_extension(ext);
self
}
/// Set extension. Pretty much the same as [`with_extension`](Self::with_extension), but take
/// mutable reference instead of owning it. Useful if you want to add another extension after
/// the [`SessionConfig`] is created.
///
/// # Example
/// ```
/// use std::sync::Arc;
/// use datafusion_execution::config::SessionConfig;
///
/// // application-specific extension types
/// struct Ext1(u8);
/// struct Ext2(u8);
/// struct Ext3(u8);
///
/// let ext1a = Arc::new(Ext1(10));
/// let ext1b = Arc::new(Ext1(11));
/// let ext2 = Arc::new(Ext2(2));
///
/// let mut cfg = SessionConfig::default();
///
/// // will only remember the last Ext1
/// cfg.set_extension(Arc::clone(&ext1a));
/// cfg.set_extension(Arc::clone(&ext1b));
/// cfg.set_extension(Arc::clone(&ext2));
///
/// let ext1_received = cfg.get_extension::<Ext1>().unwrap();
/// assert!(!Arc::ptr_eq(&ext1_received, &ext1a));
/// assert!(Arc::ptr_eq(&ext1_received, &ext1b));
///
/// let ext2_received = cfg.get_extension::<Ext2>().unwrap();
/// assert!(Arc::ptr_eq(&ext2_received, &ext2));
///
/// assert!(cfg.get_extension::<Ext3>().is_none());
/// ```
pub fn set_extension<T>(&mut self, ext: Arc<T>)
where
T: Send + Sync + 'static,
{
let ext = ext as Arc<dyn Any + Send + Sync + 'static>;
let id = TypeId::of::<T>();
self.extensions.insert(id, ext);
}
/// Get extension, if any for the specified type `T` exists.
///
/// See [`with_extension`](Self::with_extension) on how to add attach extensions.
pub fn get_extension<T>(&self) -> Option<Arc<T>>
where
T: Send + Sync + 'static,
{
let id = TypeId::of::<T>();
self.extensions
.get(&id)
.cloned()
.map(|ext| Arc::downcast(ext).expect("TypeId unique"))
}
}
impl From<ConfigOptions> for SessionConfig {
fn from(options: ConfigOptions) -> Self {
Self {
options,
..Default::default()
}
}
}
/// Map that holds opaque objects indexed by their type.
///
/// Data is wrapped into an [`Arc`] to enable [`Clone`] while still being [object safe].
///
/// [object safe]: https://doc.rust-lang.org/reference/items/traits.html#object-safety
type AnyMap =
HashMap<TypeId, Arc<dyn Any + Send + Sync + 'static>, BuildHasherDefault<IdHasher>>;
/// Hasher for [`AnyMap`].
///
/// With [`TypeId`]s as keys, there's no need to hash them. They are already hashes themselves, coming from the compiler.
/// The [`IdHasher`] just holds the [`u64`] of the [`TypeId`], and then returns it, instead of doing any bit fiddling.
#[derive(Default)]
struct IdHasher(u64);
impl Hasher for IdHasher {
fn write(&mut self, _: &[u8]) {
unreachable!("TypeId calls write_u64");
}
#[inline]
fn write_u64(&mut self, id: u64) {
self.0 = id;
}
#[inline]
fn finish(&self) -> u64 {
self.0
}
}