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datafusion-execution 48.0.0 - Docs.rs
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datafusion-execution 48.0.0

Execution configuration support for DataFusion query engine
Documentation
// 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.

//! Execution [`RuntimeEnv`] environment that manages access to object
//! store, memory manager, disk manager.

#[allow(deprecated)]
use crate::disk_manager::DiskManagerConfig;
use crate::{
    disk_manager::{DiskManager, DiskManagerBuilder, DiskManagerMode},
    memory_pool::{
        GreedyMemoryPool, MemoryPool, TrackConsumersPool, UnboundedMemoryPool,
    },
    object_store::{DefaultObjectStoreRegistry, ObjectStoreRegistry},
};

use crate::cache::cache_manager::{CacheManager, CacheManagerConfig};
use datafusion_common::{config::ConfigEntry, Result};
use object_store::ObjectStore;
use std::path::PathBuf;
use std::sync::Arc;
use std::{
    fmt::{Debug, Formatter},
    num::NonZeroUsize,
};
use url::Url;

#[derive(Clone)]
/// Execution runtime environment that manages system resources such
/// as memory, disk, cache and storage.
///
/// A [`RuntimeEnv`] can be created using [`RuntimeEnvBuilder`] and has the
/// following resource management functionality:
///
/// * [`MemoryPool`]: Manage memory
/// * [`DiskManager`]: Manage temporary files on local disk
/// * [`CacheManager`]: Manage temporary cache data during the session lifetime
/// * [`ObjectStoreRegistry`]: Manage mapping URLs to object store instances
///
/// # Example: Create default `RuntimeEnv`
/// ```
/// # use datafusion_execution::runtime_env::RuntimeEnv;
/// let runtime_env = RuntimeEnv::default();
/// ```
///
/// # Example: Create a `RuntimeEnv` from [`RuntimeEnvBuilder`] with a new memory pool
/// ```
/// # use std::sync::Arc;
/// # use datafusion_execution::memory_pool::GreedyMemoryPool;
/// # use datafusion_execution::runtime_env::{RuntimeEnv, RuntimeEnvBuilder};
/// // restrict to using at most 100MB of memory
/// let pool_size = 100 * 1024 * 1024;
/// let runtime_env = RuntimeEnvBuilder::new()
///   .with_memory_pool(Arc::new(GreedyMemoryPool::new(pool_size)))
///   .build()
///   .unwrap();
/// ```
pub struct RuntimeEnv {
    /// Runtime memory management
    pub memory_pool: Arc<dyn MemoryPool>,
    /// Manage temporary files during query execution
    pub disk_manager: Arc<DiskManager>,
    /// Manage temporary cache during query execution
    pub cache_manager: Arc<CacheManager>,
    /// Object Store Registry
    pub object_store_registry: Arc<dyn ObjectStoreRegistry>,
}

impl Debug for RuntimeEnv {
    fn fmt(&self, f: &mut Formatter) -> std::fmt::Result {
        write!(f, "RuntimeEnv")
    }
}

impl RuntimeEnv {
    #[deprecated(since = "43.0.0", note = "please use `RuntimeEnvBuilder` instead")]
    #[allow(deprecated)]
    pub fn new(config: RuntimeConfig) -> Result<Self> {
        Self::try_new(config)
    }
    /// Create env based on configuration
    #[deprecated(since = "44.0.0", note = "please use `RuntimeEnvBuilder` instead")]
    #[allow(deprecated)]
    pub fn try_new(config: RuntimeConfig) -> Result<Self> {
        config.build()
    }

    /// Registers a custom `ObjectStore` to be used with a specific url.
    /// This allows DataFusion to create external tables from urls that do not have
    /// built in support such as `hdfs://namenode:port/...`.
    ///
    /// Returns the [`ObjectStore`] previously registered for this
    /// scheme, if any.
    ///
    /// See [`ObjectStoreRegistry`] for more details
    ///
    /// # Example: Register local file system object store
    /// ```
    /// # use std::sync::Arc;
    /// # use url::Url;
    /// # use datafusion_execution::runtime_env::RuntimeEnv;
    /// # let runtime_env = RuntimeEnv::default();
    /// let url = Url::try_from("file://").unwrap();
    /// let object_store = object_store::local::LocalFileSystem::new();
    /// // register the object store with the runtime environment
    /// runtime_env.register_object_store(&url, Arc::new(object_store));
    /// ```
    ///
    /// # Example: Register remote URL object store like [Github](https://github.com)
    ///
    ///
    /// ```
    /// # use std::sync::Arc;
    /// # use url::Url;
    /// # use datafusion_execution::runtime_env::RuntimeEnv;
    /// # let runtime_env = RuntimeEnv::default();
    /// # // use local store for example as http feature is not enabled
    /// # let http_store = object_store::local::LocalFileSystem::new();
    /// // create a new object store via object_store::http::HttpBuilder;
    /// let base_url = Url::parse("https://github.com").unwrap();
    /// // (note this example can't depend on the http feature)
    /// // let http_store = HttpBuilder::new()
    /// //    .with_url(base_url.clone())
    /// //    .build()
    /// //    .unwrap();
    /// // register the object store with the runtime environment
    /// runtime_env.register_object_store(&base_url, Arc::new(http_store));
    /// ```
    pub fn register_object_store(
        &self,
        url: &Url,
        object_store: Arc<dyn ObjectStore>,
    ) -> Option<Arc<dyn ObjectStore>> {
        self.object_store_registry.register_store(url, object_store)
    }

    /// Retrieves a `ObjectStore` instance for a url by consulting the
    /// registry. See [`ObjectStoreRegistry::get_store`] for more
    /// details.
    pub fn object_store(&self, url: impl AsRef<Url>) -> Result<Arc<dyn ObjectStore>> {
        self.object_store_registry.get_store(url.as_ref())
    }
}

impl Default for RuntimeEnv {
    fn default() -> Self {
        RuntimeEnvBuilder::new().build().unwrap()
    }
}

/// Please see: <https://github.com/apache/datafusion/issues/12156>
/// This a type alias for backwards compatibility.
#[deprecated(since = "43.0.0", note = "please use `RuntimeEnvBuilder` instead")]
pub type RuntimeConfig = RuntimeEnvBuilder;

#[derive(Clone)]
/// Execution runtime configuration builder.
///
/// See example on [`RuntimeEnv`]
pub struct RuntimeEnvBuilder {
    #[allow(deprecated)]
    /// DiskManager to manage temporary disk file usage
    pub disk_manager: DiskManagerConfig,
    /// DiskManager builder to manager temporary disk file usage
    pub disk_manager_builder: Option<DiskManagerBuilder>,
    /// [`MemoryPool`] from which to allocate memory
    ///
    /// Defaults to using an [`UnboundedMemoryPool`] if `None`
    pub memory_pool: Option<Arc<dyn MemoryPool>>,
    /// CacheManager to manage cache data
    pub cache_manager: CacheManagerConfig,
    /// ObjectStoreRegistry to get object store based on url
    pub object_store_registry: Arc<dyn ObjectStoreRegistry>,
}

impl Default for RuntimeEnvBuilder {
    fn default() -> Self {
        Self::new()
    }
}

impl RuntimeEnvBuilder {
    /// New with default values
    pub fn new() -> Self {
        Self {
            disk_manager: Default::default(),
            disk_manager_builder: Default::default(),
            memory_pool: Default::default(),
            cache_manager: Default::default(),
            object_store_registry: Arc::new(DefaultObjectStoreRegistry::default()),
        }
    }

    #[allow(deprecated)]
    #[deprecated(since = "48.0.0", note = "Use with_disk_manager_builder instead")]
    /// Customize disk manager
    pub fn with_disk_manager(mut self, disk_manager: DiskManagerConfig) -> Self {
        self.disk_manager = disk_manager;
        self
    }

    /// Customize the disk manager builder
    pub fn with_disk_manager_builder(mut self, disk_manager: DiskManagerBuilder) -> Self {
        self.disk_manager_builder = Some(disk_manager);
        self
    }

    /// Customize memory policy
    pub fn with_memory_pool(mut self, memory_pool: Arc<dyn MemoryPool>) -> Self {
        self.memory_pool = Some(memory_pool);
        self
    }

    /// Customize cache policy
    pub fn with_cache_manager(mut self, cache_manager: CacheManagerConfig) -> Self {
        self.cache_manager = cache_manager;
        self
    }

    /// Customize object store registry
    pub fn with_object_store_registry(
        mut self,
        object_store_registry: Arc<dyn ObjectStoreRegistry>,
    ) -> Self {
        self.object_store_registry = object_store_registry;
        self
    }

    /// Specify the total memory to use while running the DataFusion
    /// plan to `max_memory * memory_fraction` in bytes.
    ///
    /// This defaults to using [`GreedyMemoryPool`]
    ///
    /// Note DataFusion does not yet respect this limit in all cases.
    pub fn with_memory_limit(self, max_memory: usize, memory_fraction: f64) -> Self {
        let pool_size = (max_memory as f64 * memory_fraction) as usize;
        self.with_memory_pool(Arc::new(TrackConsumersPool::new(
            GreedyMemoryPool::new(pool_size),
            NonZeroUsize::new(5).unwrap(),
        )))
    }

    /// Use the specified path to create any needed temporary files
    pub fn with_temp_file_path(self, path: impl Into<PathBuf>) -> Self {
        self.with_disk_manager_builder(
            DiskManagerBuilder::default()
                .with_mode(DiskManagerMode::Directories(vec![path.into()])),
        )
    }

    /// Build a RuntimeEnv
    pub fn build(self) -> Result<RuntimeEnv> {
        let Self {
            disk_manager,
            disk_manager_builder,
            memory_pool,
            cache_manager,
            object_store_registry,
        } = self;
        let memory_pool =
            memory_pool.unwrap_or_else(|| Arc::new(UnboundedMemoryPool::default()));

        Ok(RuntimeEnv {
            memory_pool,
            disk_manager: if let Some(builder) = disk_manager_builder {
                Arc::new(builder.build()?)
            } else {
                #[allow(deprecated)]
                DiskManager::try_new(disk_manager)?
            },
            cache_manager: CacheManager::try_new(&cache_manager)?,
            object_store_registry,
        })
    }

    /// Convenience method to create a new `Arc<RuntimeEnv>`
    pub fn build_arc(self) -> Result<Arc<RuntimeEnv>> {
        self.build().map(Arc::new)
    }

    /// Create a new RuntimeEnvBuilder from an existing RuntimeEnv
    pub fn from_runtime_env(runtime_env: &RuntimeEnv) -> Self {
        let cache_config = CacheManagerConfig {
            table_files_statistics_cache: runtime_env
                .cache_manager
                .get_file_statistic_cache(),
            list_files_cache: runtime_env.cache_manager.get_list_files_cache(),
        };

        Self {
            #[allow(deprecated)]
            disk_manager: DiskManagerConfig::Existing(Arc::clone(
                &runtime_env.disk_manager,
            )),
            disk_manager_builder: None,
            memory_pool: Some(Arc::clone(&runtime_env.memory_pool)),
            cache_manager: cache_config,
            object_store_registry: Arc::clone(&runtime_env.object_store_registry),
        }
    }

    /// Returns a list of all available runtime configurations with their current values and descriptions
    pub fn entries(&self) -> Vec<ConfigEntry> {
        // Memory pool configuration
        vec![ConfigEntry {
            key: "datafusion.runtime.memory_limit".to_string(),
            value: None, // Default is system-dependent
            description: "Maximum memory limit for query execution. Supports suffixes K (kilobytes), M (megabytes), and G (gigabytes). Example: '2G' for 2 gigabytes.",
        }]
    }

    /// Generate documentation that can be included in the user guide
    pub fn generate_config_markdown() -> String {
        use std::fmt::Write as _;

        let s = Self::default();

        let mut docs = "| key | default | description |\n".to_string();
        docs += "|-----|---------|-------------|\n";
        let mut entries = s.entries();
        entries.sort_unstable_by(|a, b| a.key.cmp(&b.key));

        for entry in &entries {
            let _ = writeln!(
                &mut docs,
                "| {} | {} | {} |",
                entry.key,
                entry.value.as_deref().unwrap_or("NULL"),
                entry.description
            );
        }
        docs
    }
}