From c0ce4963147346cc7f6f8d4a464335e74be02ada Mon Sep 17 00:00:00 2001
From: Connor Tsui <connor.tsui20@gmail.com>
Date: Sat, 3 Feb 2024 00:19:03 -0500
Subject: [PATCH] remove unecessary

---
 eggstrain/Cargo.toml                        |  16 --
 eggstrain/src/execution/mod.rs              |  29 ---
 eggstrain/src/main.rs                       |  11 -
 eggstrain/src/scheduler_client/mod.rs       |  20 --
 eggstrain/src/storage_client/mod.rs         |  70 ------
 proposal/images/architecture.drawio.svg     |   4 -
 proposal/images/bufferpool.png              | Bin 16193 -> 0 bytes
 proposal/images/ferris_does_not_compile.svg |  72 ------
 proposal/images/ferris_happy.svg            |  33 ---
 proposal/images/robustness.png              | Bin 186249 -> 0 bytes
 proposal/presentation.html                  | 197 ---------------
 proposal/presentation.md                    | 211 ----------------
 proposal/presentation.pdf                   | Bin 375965 -> 0 bytes
 proposal/proposal.md                        | 263 --------------------
 14 files changed, 926 deletions(-)
 delete mode 100644 eggstrain/Cargo.toml
 delete mode 100644 eggstrain/src/execution/mod.rs
 delete mode 100644 eggstrain/src/main.rs
 delete mode 100644 eggstrain/src/scheduler_client/mod.rs
 delete mode 100644 eggstrain/src/storage_client/mod.rs
 delete mode 100644 proposal/images/architecture.drawio.svg
 delete mode 100644 proposal/images/bufferpool.png
 delete mode 100644 proposal/images/ferris_does_not_compile.svg
 delete mode 100644 proposal/images/ferris_happy.svg
 delete mode 100644 proposal/images/robustness.png
 delete mode 100644 proposal/presentation.html
 delete mode 100644 proposal/presentation.md
 delete mode 100644 proposal/presentation.pdf
 delete mode 100644 proposal/proposal.md

diff --git a/eggstrain/Cargo.toml b/eggstrain/Cargo.toml
deleted file mode 100644
index bb9fefc..0000000
--- a/eggstrain/Cargo.toml
+++ /dev/null
@@ -1,16 +0,0 @@
-[package]
-name = "eggstrain"
-version = "0.1.0"
-edition = "2021"
-authors = ["Connor Tsui (cjtsui)", "Sarvesh Tandon (sarvesht)", "Kyle Booker (kbooker)"]
-
-# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
-
-[dependencies]
-anyhow = "1"
-arrow = "50"
-datafusion = "35"
-substrait = "0.24"
-tokio = { version = "1", features = ["full"] }
-tokio-stream = "0.1"
-rayon = "1"
diff --git a/eggstrain/src/execution/mod.rs b/eggstrain/src/execution/mod.rs
deleted file mode 100644
index 7141e35..0000000
--- a/eggstrain/src/execution/mod.rs
+++ /dev/null
@@ -1,29 +0,0 @@
-
-
-
-
-
-pub trait Operator {
-    async fn execute(data: RecordBatch)
-}
-
-
-
-pub async fn execute()
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/eggstrain/src/main.rs b/eggstrain/src/main.rs
deleted file mode 100644
index 9efa7b5..0000000
--- a/eggstrain/src/main.rs
+++ /dev/null
@@ -1,11 +0,0 @@
-
-
-pub mod execution;
-pub mod scheduler_client;
-pub mod storage_client;
-
-
-#[tokio::main]
-async fn main() {
-    println!("Hello, world!");
-}
diff --git a/eggstrain/src/scheduler_client/mod.rs b/eggstrain/src/scheduler_client/mod.rs
deleted file mode 100644
index 5a7de01..0000000
--- a/eggstrain/src/scheduler_client/mod.rs
+++ /dev/null
@@ -1,20 +0,0 @@
-use substrait::proto::{ReadRel, rel::*};
-
-/// https://docs.rs/substrait/latest/substrait/proto/rel/enum.RelType.html
-/// https://docs.rs/substrait/latest/substrait/proto/struct.ReadRel.html
-pub async fn sample_plan() -> RelType {
-    RelType::Read(Box::new(ReadRel {
-        common: None,
-        base_schema: None,
-        filter: None,
-        best_effort_filter: None,
-        projection: None,
-        advanced_extension: None,
-        read_type: None,
-    }))
-}
-
-
-
-
-
diff --git a/eggstrain/src/storage_client/mod.rs b/eggstrain/src/storage_client/mod.rs
deleted file mode 100644
index 890bf40..0000000
--- a/eggstrain/src/storage_client/mod.rs
+++ /dev/null
@@ -1,70 +0,0 @@
-//! Right now we have this in a submodule `storage_client.rs`, but the IO service
-//! team would probably create a crate and we could import it easily into our `Cargo.toml` file
-
-use datafusion::execution::SendableRecordBatchStream;
-
-use std::sync::Arc;
-use datafusion::common::arrow::array::{Int32Array, RecordBatch};
-use datafusion::common::arrow::datatypes::{DataType, Field, Schema};
-
-
-// Placeholder types to let this compile
-type ColumnId = String;
-type TableId = String;
-type RecordId = usize;
-
-/// For now, pretend that this is an opaque type that the
-/// I/O Service team will provide to us in a crate.
-/// This type should be `Sync` as well, to support
-/// multiple instances of a `StorageClient`.
-pub struct StorageClient;
-
-/// Have some way to request specific types of data.
-/// As long as it comes back as a `RecordBatch`,
-/// we should be fine to have any type of request here.
-pub enum BlobData {
-    Table(TableId),
-    Columns(TableId, Box<[ColumnId]>),
-    Tuple(RecordId),
-}
-
-impl StorageClient {
-    /// Have some sort of way to create a `StorageClient` on our local node.
-    pub fn new(_id: usize) -> Self {
-        Self
-    }
-
-    /// The only other function we need exposed would be a way to actually get data.
-    /// What we should get is a stream of `Recordbatch`s, which is just Apache Arrow
-    /// data in memory.
-    ///
-    /// The executor node really should not know what the underlying data is on the Blob data store.
-    /// In our case it is Parquet, but since the Execution Engine is not in charge or loading
-    /// those Parquet files, it should just receive it as in-memory Arrow data
-    ///
-    /// Note that we will likely re-export the `SendableRecordBatchRecord` from DataFusion
-    /// and use that as the return type instead
-    pub async fn request_data(
-        &self,
-        _request: BlobData,
-    ) -> SendableRecordBatchStream {
-        todo!()
-    }
-
-    pub async fn sample_request_data(_request: BlobData) -> SendableRecordBatchStream {
-        todo!("Return some sample data")
-    }
-
-    /// https://docs.rs/datafusion/latest/datafusion/common/arrow/array/struct.RecordBatch.html
-    pub async fn request_synchronous_data() -> RecordBatch {
-        let id_array = Int32Array::from(vec![1, 2, 3, 4, 5]);
-        let schema = Schema::new(vec![
-            Field::new("id", DataType::Int32, false)
-        ]);
-
-        RecordBatch::try_new(
-            Arc::new(schema),
-            vec![Arc::new(id_array)]
-        ).unwrap()
-    }
-}
\ No newline at end of file
diff --git a/proposal/images/architecture.drawio.svg b/proposal/images/architecture.drawio.svg
deleted file mode 100644
index b28b403..0000000
--- a/proposal/images/architecture.drawio.svg
+++ /dev/null
@@ -1,4 +0,0 @@
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dmhP9FEHHPpcoeczWWAIQ3GC9XxjCEYXJEHtOz8agAhFcmwmPEJABFKOkYEXAISADSEhGB8QjsWwDi+40resodmA38zYMIJAAFQTmHRTcuvI0k11EfN/TcniLOEOqWa54AhMcJGwpyFUVt7QIQXilXTsB6b7VRwTMmaiR4fvvAsIDotdj0krtraPjAPaqkzk+KXnTgcYQcsImKeEFuXmoJAtAZ6mTGf1wLhF0oCa1FmCxh3ksJEi8TkkQeHPKIdVn0Prp5Pm2zyR8SIpPLAG+mVL64tvY8AejRVT4s7gNDw9a6xkJOKHLG9bG5MN4cGzkHuUeW9LBt2meeyHnX5W2Y8xJuez4QQx7TZ5Iyz8HLDM/UXIsIQF41wLYxKwdQ7kzoeBHYIiABSEtCBMYjsG8BiBAf3JBTRoLA1EP25rkSgMqslcjGhXAMEtemEleX6c1/t8IbdxKM5pgnAFGBhM18jq1ZAGJD7lWWeWGd5DXCFM8NNp9jbRTb+oAIRA6HvuEvu9rUbPYdjxM2Ijm2BAEIz7BvmxnfU/7tCgPLFR1THFPhX5vXuWItcnS1FbmPbp9LsmMvKW7OGogci5hFKHZO1bCUAITXDx6AY4gVm+MhD9NmHpvIWDlmLoyb8TDOd498j+Se2PXd6iMAsXdD+CFEa1fWp1qsJwDh9UMxgRyTB1AOLR0rAh0EJABpaYjAeAT2KQBR3Ydy0injzTdhFlGbgwCEpwmbuW1LJR3mWFyd24wH4Pd0uMT3bZM3q/d2oFNVpquKWNupCDEkVaS8L2FjuLPzJpYKT9FqSTDgbXWqOs/2tVMCECFBfUKO1iwAEY7HfSNlhOpEQqPI7UKoC5WzIoZQxNokPIcy14QGIRCwlshRwb0i6jnBpgYPjpxNL33E8ymal4dNFf0lcS3luVm/hBvSX7ye8GrL+Q7lbnCWIABRIry593mhhwdV4aJfjiykxDGso1SCZJKfk0g5shZyBSAqCuHlETHaZl2RgwhB9idmdqaNsuoXrcM0o/dWXsbkeLSlBKBI//lu8D0ibI+8XPSd0Lsc8QuPDzw/cmxOjBkXv5WIPzlcYMs9klBXSpPzvSAHT1/rIwBxryIZeNTIScV6oJofOYn43nOP5AVT9J7OtaIVY5t+pe6RzX3He47aHqMEoOis6zgRSBCQAKTlIQLjEdiHAESi10cGvS5y8zrMQQDqms1nVw/DVLNps75ltXkA7PKsyPHS2O4T+Rci7ve8WSZxIp5CXeWHebN/9TrZKaKgZ+QEoqLMf3gH1p+nBKBIE4hNbCqZA36PKDmN0PC5yMkFj5lCGXiSprKmvE3lwVUy7c8Gxs5mOpLfhpLubFC9NpkfBMIH15WjvC7QLuGL0bVEYutPBt7EswEjJIlNuld2m40veVjaROG2/ueE6yxBAGITiHiGkej5bYlJxZPvKd6kO5/jsfDYxDGbv0lXrZMpdx2eKwAR4uqJoWyq8UqI5Dti809yfjaknoCQW+mprwBErjX4doWcEepEcmpCkjzrI0zMiTHjf1CdDNxjweeEHSFOtnlF8btFhUu45npm5XL2RNTNsTA+nn3w7usyXtLc1szuFoFQ/0YjJEXMu0d6bfBcgNjGvwiZvNSigmXfnETe9fS5CKyGgASg1Uy1BroHArsQgPgOk3CRTf6fZORa6fMwLwHowEU0hgCEO/oXAmv1qfXGI1p1iXWCABZJFnkDM2PzHrE+AhDCFdVm8E7pE2IQ6VfuMfsWgBBuXx5IlB3dLEQ3CYwbz4+oSANXSocjAv11AHJObqnIppeNLYLOFwPX3jwEjw2EUu9td1OBKtK8t7nBK+C4SEMjHsNGLfWGfVNwwRviOwkBEnEYr64hhkdNV0W37WpjniCVIwB5FcUYU5/fRM4jkTZ5hTwR6HwZ6zbyXdicB+4LeL8iNEUM4er1gQMvkhHKOTfGl61Em2MDDPjNRNj5XuBY8vaR4yonX070ns7lER0JsfM8a/FqIvl0RMhshoX3Jb9BnkcOaQUYY8S8e2RXG/y2IPJ8NPO3KdInHSMCIlC/cRUIERCBcQh4AhBvsnnozbVT1y68vHXyfqzb2uZhJvUWtqs/EoAOJDOGAMRDOQ/nKSN8jJKvfczLq0GbbCIuY2a/DFwgVwBCOKDvUeEq0IUih+xLAEKYwyuBfA7eQz0DxTuK0E3PIvOCJwBvh/vabczsBc7JbESuErhAZPOItxiMcsPKmsvjYUUYhFdSnrCISKiQt7mZmwAEJ8KUUjm7yD2TEyK6OfWICSlBDIGaioeNlRSADqvy5uCV2WWs4yGVFs9cJz5PCYwkbifHUcRyBCCEuetUXp7fijS8cQxedJ5nXM5vzdwYR7yV+K1C7MgRyEF8aO2hGJmSHAHIS6DO9bj349HjeUe29Y2XiYRueznjot7j3j1yuw/0nftP45UY4adjREAEehCQB1APaDpFBIIEPAEo2EyxwxCceMj++54tSgA6EFxpAeiSgTe4Q0LLmt5Hqm5EvYAiQkNz3SGVZXou2fBpuxaAeFNM9T1C+KL5I3CDJ4SDfCQp4xjPsyo3/1fX9SK5qiIbX0IrEKRSxvfjE+EZbT8w8h0jyS5VsTzzNjdzFIDIv0XOsy5jvRKC0ceoCEj1qi7jhcZmaElJAQiPglQ+G/LjDA075cXK4Ynx4aGDh0XEogIQghJV934QaXTrGDz52OynBNGc35s5MfbESFA9LSMsqg0/HjhU8fQsKgCR34xw6dRLP8RZEo4PecFCAv8POZ2OegF598jNy+CJShjaLzxg+lwERGA4AQlAwxmqBRHoIjAlAYgHPR4USRLc1yQAHUiutABE/gmSO3YZAh5v4IfMIW1z33+Tkw+DN/FdOZM2+xcVgPqWke27VnPP8wQg2iP5ch9rwjQRZgjxYw69UKS260QFNMIPHuJ0tKn+1Gc8m+ecsU7qm9qUeKE6tEHoUcrwkEJAKGF4NXgiBpvijzsX8zY3cxSAEAUIG+maT35HCJ3pY+R36hI720S3kgIQG3E25G32htqDps+YNs9BNOS+2mV/Fkjw3pwbFYCGeGRxrfvWuW26+pzDZk6MPU83fmvxgjlx4KJ4mZndzGkjKgBFcgNGvRe9YXliLWHc5OPxzLtHNufjCU/fcz2tvOvrcxEQgQ4CEoC0NERgPAJTEoAYJRsxNlK5pb4bQhKADlwrJQUgqnJQeSllhNykwhhyVrJXJS6aGDsiANEW+S+oKjVViwhA++w7nPEY8gzPIrwoUomkS3n/NH3xEqmymULk6Xqzi8u/VyEpmvja48Pn5GzxPCbwkvPCY7zNzRwFIPgcWXumdbHMyQvTtHFxx3urrbJdSQEoVXr+oXXhhMjaSR1DQu0TEgeUFoA2K6b17TtrFGGuy3IEv7kwJt8a96SUlWBL+wipXsLkqACUyp/FtagM2fclxTYLQsG6KqM2x0a85rx7ZNPWpeuKe33Xsc4TARHIJCABKBOYDheBDAJTE4Carr+uLmGLgJFjEoAOpFVSAPIqNpV+Q0bCVzYrKc+NyEYvIgDxBhTxcco2ZQGIt62HBLxk4MtbVMpXp4wwn/cVnAxvE8ml6H9XglpCjuhTl+FVgfdiSUt5K3Cdo+s8HqlrepubuQpAVAHsqiIFD7wDeJGQY3ikpRLjsuHczmFTUgBijXWFOt24TuKcM562Yz0Rv7QAhJBZQlTHy6VLMI6+CIDHXBj/UXW/weOsyxgz3i0/Hbog6vM9b66IAOTlSEPQ4iVLqtpX7nC88N420Xb7Gt49kuMJ/SIflUwERGCHBCQA7RC2LrU6AlMVgJgIHhhuaWavzZgVCUAHwiopAHmu4tsJUjOmrfNQL2cD4Wg8vKbME4DIUUF1kam7dk9VAGJzQGiJl9OnmSMvD8mnKjEOb4zSdrwT1sYDPg/620ZeCy9ZKRv0VxbuMG0i8nQZ98czOInQvc3NXAUgngvJNdKVCLbPGkqtj64wo5ICUOHl09qc51VZUgCiMhXrr4R5390p7RNKMPbCm8hHxguZUsbvH8nnuywiAN3ZqeD5kqpcOiFiJY3KslS367LINb17JG23ib8lx6G2REAEWghM6cauCRKBpRGYsgDUsM5J6ikB6MAVWkoA4j5MZaNU2A5v5b3EjLnfH+9hmlLzd3ca9QQgqn6lEr/m9nms46coAPXJ24Wgy7x2GQ/kbB5LmxcGRuJ5yrdvG2XFP5joDG/jESJ+VrjDkTAwhDLEjhTLNlGrOX6uAhD95zubyrlEotlU6NAmM897gYpFR7VAnpMAhFj4TiehckkBKFoNMPK1QZxApOiyUp5Gkb6kjinF2LtHlvZYPVldQr7r9z0iAHneOFQHIzFzSYP3dxMNRvrtCUBvMzOEJpkIiMCOCUgA2jFwXW5VBDwB6EWOW3wKFsk6KWtMbg1+qM9UJ+e8Xo/S8DesyisfE5gZCUAHQiolABFL/xmH/xgP4ed3Kt9EEoB6AtCfmNmrAmtr34dMSQBC9CAvyfMywxC4J/DAnhISKVftJVzuMxde6BkhRVdoadgrRR2tNtOnz17o2TWcN+De5mbOAtBl6gpRXVxz8uaQAB5vwy7jt6ttozkHAYj78jXrnEmXdxZhSQEoUlkv+p14RZV/hft0l3E/8XJmRa/V57iSjD0xhv5FS5znjIWwXO6RbRYRUsgjlArXRkRBTClt3nX5zfll4qLePZLcb/cq3Wm1JwIi4BOQAOQz0hEi0JeAJwA9tirpTMhGSeM7feG68sTDMxqmQpGXE0gC0IFASwlAXrnYPiEXkann4e3niQPJ2ULulpR5AtBF6ypRkf7s85gpCEA8wCOWkczzpB4wqAj02cR5hDWdrke7kVO88uqUJ6Z/24bIdTtnAzGGxxKX9Nau5wngbW7mLADBh7LoiMRtFtm0Nuel2nlNJTTdoOMaUxCA+D1l401OGH4jD6or+ZFvhd/ZnGp+JQWgyO915HvLMV748dgC0C4Ze4m6c9Z1lC/H8ax3v57fJTwgvWezscKoeDF4/cRAvWqS3j0yEmaew1nHioAIBAlIAAqC0mEi0IPAPgSgzW7ysMODB+WjPaPiDZVvUiYB6EA6pQQgwqye7LDnwXQMS21gIglAvU30KUcI3xmDQ0QAwiOqhPE2nYS3/JG08zgzI1dSH9Fnsz9eOFVE0Os7vnPU5cO7zu8Sn7xwDDYfOXnKcvr/tGoOmPcu+wsze3bic29zM3cByPPcSSX2brB5nkSHmRnhLW22SwGIXFSE/P12/S9iJX9dZetz1llzbEkBqMtrqk+/diUATYExLyRSYZ0pQbIP2+YcQvYQ9tvME51Yk1RYS9k+ng/oj1cowrtHlvRkGzI/OlcEVkdAAtDqplwD3iGBfQtADJXvOLlcUhudBglvmlJlbCUAHbh4SglAXjLmHS7Z/+9S3m9ESgAa0+OkNBNPAIqIYaX7lNseyaKpmNVlrzazG+U2Gjz+FIFwNSrPbZeCf7+ZpUJn2Pz8c7APuYeRn+qRiZO8alfe5mbuAhB5fj6e4ENVL0SilHEMFcC6jBDm73V8OLYAxO8ZXl4IM6kqdLnrquv4kgJQyZDgMQWgqTHmXsM9p8te4Hgk9l0LqaTzngDkJWPu26cS53n35zncI0twUBsiMDsC3sP97AakDovAhAhMQQACB6E+lOFOxflzHJUmnpPgJwHoQDilBCDPE2GfS7pt077ZHwlA+5ydA6990zqsqatHkaTeQ0aTKidNu21eC6nwIM45e1XtiDwUYxiV9VIePkcmwjbozxw2N14ODy/fSapCFGF95C/rqvDH8yUhiV1hZFR2Y2PcZWMJQOTMI/Sa+Uvlyyq95koKQF7ulZy+jyEATZXxtcws5ck5Vk6aVOl5TwA6tH5+y5nTXR1L8nByqXXZHO6Ru2Kl64jApAhIAJrUdKgzCyMwFQEIrLyN9qq2IBLxRrTLdikAeZuzyzpJSrfHwEaPNtusr3dHKQHIq/Cxz6/FrzlluiUA7XN2Dry2953JqfjXZ1SeAMSmkGp3m+adU3Kjuz0mj9cR1dq//8w3N0PP1kfjAAAbBElEQVQFIK9k9u8kwlO4Rx+b4EdVOKrDddkYAtBVK9GK4gtdJe77rPvoOSUFoJLP7qUFoCkz9vLt4dGG11pp4+UbybbbzBOAyJOTejFXuq857XnJpyUA5dDUsSKwQwIlf0R22G1dSgRmQWBKAhDAXl+VXL52gpwXsrNLAYiEieQv6rIlCUBeHpR9LnYv1EAC0D5n58BrUwr4cYnulCwdvX2ZU1feMj9yULSJOV3eIzTVV5iNzgiVrFKJ8vESSd2D5rC5GSoAkej40wmgqUIGhztFDqhiiQDYZaUFIO/7EV0328exTtmgk1vmJYlG1iAATZ1xKhcPU3c3M8Mjt7RRnZX8Qm3mCUD3NrPHl+5QofaWUCmxEAo1IwLzIiABaF7zpd7Oi8DUBCCv5DJ0EXm6NnK7FIBSVTPo55IEIO8N7D5XvQSg/6I/thhRYo69PEaU2yXEYQyjOtIXEw13icspAYjmKNvsHdN3PGzaebveZQg8qQpkaxCAYPOxynvhUh2QvlJXxtouBc2z5ZcTnjaetymXKykApUJwctYP6/ijZvahOjcV/41ARm4rGMGqy5YuAM2BsRcmyz30GTkLInjskCTQJKP/m+B1dn2YBKBdE9f1RKAQAQlAhUCqGRFoITA1AYhyuySCTVkqJ8QuBaBUyBb9X5IA9Mw6H0XXvLy7EubIR7Jro1rVO5yLygNo17PSfT0qKr0w0Z2x8ltwSS+5alcZ+FQYJe1SgvubIyH2PCK9EKW1CECeV8cVzOwDW3PkVaRjI/5yZ15LCUBUw0Skycn3g1fGB+vwNvIYfakWtFIeS2sWgObC2EuU73n99b0VEUr6mI6TPQ+gmzuhkoiSt+zbsYHnvaXy8vtJoo053CMHItDpIjBPAhKA5jlv6vU8CExNALpiXW46RY/KL125gnYpAHnlxZckAFGJiIpEXcam/jYTXfISgKYzMdd1SqaPWQUsleMCQh+uQlARBbaN8sZUkukyr8rMEPrc51Jlvq/jJIydw+ZmaAgYfCmHjgjSZU8wM0SiTfM8OE9jZic5k1dKAPonM/vDwEIhhAvvD/ISfSdw/PYhaxaA5sLYE6oRach7VdqeWOU/u2dHo54A5IlWU/ZOncM9svRcqz0RmAUBCUCzmCZ1cqYEpiYARTyALl7nMmhDvksB6F1mRoWJLluSAERoDpuoLuvaPE/hayEBaAqz8F99oJR1qiLLv5jZISN19y+d0Ak21XjUbNubK1GaMIIu457VlTtj6FC8BNSpeyHXnsPmpoQAxFgJebpcB3A2oHiAEAaFEbb3tdp7q+2UrrWwfWwJAcgTr5prsn4J9xsSbsh3i5CwLltqCNicGHvFMEgQfuuhN5aW81MCmScA8b3j+5cyL5/WCEMKNTmHe2RoIDpIBJZGQALQ0mZU45kSgakJQPcI5ABJlV3elQAUSSi7JAHodlUejec5C3eq92oJQNO541w0Id42vRxrHb20CrOhwk6X8fb7yS0fehXwxsrJ4W0E6erJN0SNtnHNYXNTSgC6e8f8NVw2y0F7XhZ4i70q8LUpIQCxmT/KudYNKy+0YwL98Q7xcuAsVQCaE2NC3Mlb1WWeGOOtgbbPz+h4lHnXvKCZfca58KWd/FN9+l3inDncI0uMU22IwOwIjPUwODsQ6rAIjEBgagIQiQRJKJiyU5rZzzoO8AQg4sFxVx5qbCbwAErZkgQg780xHM5Rzd3Xh4Id4XwJQCNA7dnkKarwhZ86557HzMi7U9LIrZLKjcK1rmJm5LLaNi+/DF4ZbCJKm1cB7G1VfylxnLI5bG5KCUCsG/LgdNlTzQyRCKNiEZWLusxLLN+cV0IA8n6D+RxhpoR5FaaWKgDNiTGVCH/uTHYkPDFnvXil5z0BiD5/18lhdaiZHZ3TqR0dO4d75I5Q6DIiMC0CEoCmNR/qzbIIeA9GqRK6pUnwFooH+FQiTHIgEPbQZZ4AVCrE5CFVGMEjHABLEoDwNOgS3RoM1zQzwmVK2rmdsB3W5/ucC0oAKjkjw9vyQqr4Xj1s+GUOaMHb4HDw6SpRgGSl2+aFrXH8meoNUKlu89xDTpvzJxqkhPmDnAvOYXNTSgACBeGFzFebEQaGdwUhVF9NhH/l5DMrIQB54/+9QHhNdN093MwQFrtsqQLQ3Bi/0cz4Pe2y6zu51KLroTnO8470BCDawWMOT7Uue1TlrchzU0njPvmCyvPvDB2NvrYK/aSSYsrmcI8syUxticBsCEgAms1UqaMzJDAlASgiqkSqBKVyJHSVes6dutRGo2lrSQIQY+JhiiS+XfamqtLOtXJBOsd7XhCRB2EJQIUnZWBz3pzyHSXM84cDr7N5OuEzrJUu+0hdta/tc09U5hy8SUiiWsp+p05KnWrPSwDNuXPY3Hib81TVx20+3nhJtExFoPcmwObkdBoqAEU80/Cu2C5h32edkfeIMJ2UqLhEAWiOjL17JL9pVN4qYVQx5DuYsogA5OUJ5L7Od7lNZO87jquZ2dsTJz+u+h25r9O4d88gFPe4vh3UeSIgAv0JSADqz05nioBHYCoCEOFDxwfK4F6vSvT5OmdQn3Mecs9iZt/2wCQ+v2qg9DinL00Auk+g1DtVlEgIXcIIFyIXAg+oXRaZSwlAJWajXBtexRiudEcz+7tCl2SNeGXaSbBL+GmXvb8uI9/1eeNd4oVuRId0hLNx4XrnCnjlzWFzU1IAItHzCQnIzPGPE9WOOBXB70fBiRoqAJ3VzJjLlJV6Bo5875YoAM2R8bWrioSvd9ZFjjCaaorcfuT4S1lEAPLyatF+aaHc81yKiLlzuEcGb0c6TASWRaDUj9+yqGg0IlCGwBQEIDb4vMVJlTtmtIgB5wvEx3veOZQrx82/j/E2lmoXqbLQTbtLE4B4c4y4lrJXmtmN+4BtOcfzCOMt/pUC15IAFIC0w0PI4UWOn5Swx4bjIgMrHjVDuouZPd0Z35mdJKjkJUsJRDRfKscFAsQXHD7RUtBz2NyUFICYh1Q1o8b7oCvM+PlVGDJ5cqI2VAAi19APnIudLSASef09Vc2lKzyuOX+JAtAcGRPSRE6dlEUr1aXaiOQy5PyIAESYOC/xUh5miJ08w5Xw7vS8f+h3JDR3DvdI7/utz0VgkQQkAC1yWjWoiRDYtwB0GTOjrKkn/oArWm3nZVWloZsl+EaSp3adfqcq2fGzg3O3NAGIYXsVkTjmUmb28SCjrsPIe/EBpw2EJgQnzyQAeYR2//kDzIwcNinjO/yPA7tGDqlPOp6FkZwvCAZ4lqTyk5FfjLfgUe+RrqEdaWZ426UMcYzNlmdz2NyUFoAQMf7WA9PxeSSsbvPUoQIQbXll3YfmVuMZGi+P2waYLFEAmivjp1Si9N2cOYtWq2trBg8iClmkBJvmvIgAxLF/Hsi543lbBpapkS/y045ITkVHKjt6Nod7pDcGfS4CiyQgAWiR06pBTYTAvgQgBB9ixgn1iBgPIJQRjWyu2FiywUwZZWERnnLsDmYGr6gtUQBiTMc6AEjUTZjct6Kgto6jVPg7nIe7z5vZhQPeYDQtAajnRIx4WiTvBJe/XGC9dXWTnCeEUaSSqXLuFQJiI8d5YVkcw1v5Ww3I2RJ5I/+GygsRoSJic9jclBaAIiE/bezwDuJccgRFrYQAhJB3ocQFqUxH+Xavel5bE6c2M7zF7hEc0FIFoDkyPrj2vPGm7hqVJ+xbvYO2Puf5i5x9hJFGLCoA4b1IJdCUUM71hoSKk6yfFz/k80oZpek9j2XOn8M9MjJHOkYEFkdAAtDiplQDmhABTwDih5aNT1/j+8sPNq64hFlcog4RSoV/tF0ruknj3EgCVY6LJBDmOB6iEasenQlhiQIQCLwKJRxDUl34Um0nxxCOXhN4gLxJ5Wn0imDDEoCCoHZ82NNqr77UZQkZuGn9pjqne7whpjpMKvEz7ZFnKCpCn7cOzfL6QdUZ7hcneQdufc7b/M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FvXYrSHgTQ5w2HLwirbQIZ/cQWIG2o4xciAjJ7m7DG1Li7zoEAwhKRjB4cTkgFm8lcsooJB2esKAloySbfS1CsIIwhaDfJK7dkn+Tm/c5CfDjWViwy5yLed+u+xOUW4wWSj8sJYlzUCGOBNebXhkCpNXWoz9xjyAa0rfz3bnHDZ51/mJDRB6tnrEzY/xW5V0Q8VSnYoAwEFhmGlLXotgOpsO61HEhKazcW1vdu0OZ1VaA/3HFBmP/gicNQ7esgVNiP0JX4/9QCyXOD4aAHsVgr6Hl4EUCsHpKVEBYxXO4q0vPMobx/W5lHLs4WdxUrYT/Gak2RXgTQruf5su/7Nj9+KyK+bsuH+7fhQnDTOZP+gj3WyVdVBsCaMq8Z1gLmTiZx02pV6K6P2/B+ZQ/hUfq4bRxPuf+drStshnMSVRG9z0JJJxr+LuXyiwH6eqEBbEa3FMplinBwZRGtORgq72HAcouHUjbGeqaWAOLQT984NLYUDmdsjpgNTiWYLENY8t5a0mdTW8+KiEcsFIO/nKozK+/hcA+xSTyuFv1izP3cgNNq8L8eBBDz56MCZr1jjSk+8RBAHESysmsCCEswNk7WyZbyooh49JaD2Zh3KbHdNiUg+JaFwvM74lzYVwLo2Pfd5djiRvLhiQOZOib/apgzEEI9Dq/KIWldzELWS+byrcSOQABBpKKAK/LCwWJOKTu2DIeSV4mVYN3EOrpOFN2mxzxHZ8c1hve3uPRb1zf08J+dyF0V3eHui/GOFWJLwdKEizL0I8jIfRYsSt+X6ABk9GsT5acs+lUJT4NMOnhlbfvjiMCSKiO7mufLNu7r/FD0T9avk+OaC2XOtqxBLYUzuBJe5uQ7VUOPMW29W0RAjE4ucyOA7jQo9yUgdp0FjPZxAMZMtSRLs+9SOfX3JSOpso9qvevKvWRhUne7wdS2ph5l8Ty5KOMiAmPbglRY12ZcB/GNzmyoNX3nGZhriB/VLLv2PShPKDqw6lPIlyxc8fAxZ4NuLVhsYSH1hqFiE0D7RQCxLmElQOrZnsJNL/tFy3lcSwBBlmPFpkqPg6H67nXlvO9q6EGE/GRE/IxWvLoUxAkBX5ULpsxLlEPSSQIIVzaSWGQsnJZxD7mYwG1bEWIWvl8pOLLMQxcxA7GEKglu8WRw3SSKbtN6nnN4hojDfby3sA9z8UBogB7C2QNrs8d0JLJoN98AfQ+r9n0VLKPUYM6sHdssL+aAAdaOhHAoCWcPlchS1rZ9IoD2fX7UEEBcFhJaJbPXlMbQ6u8QQOhqGe8WE0AZhEeW5WYDM39FiK2QSSuo1Dn3MvcfLC6mbCeThdv8mvhAipK0uihjUYJC0Fu4HWL89HIngRzESuEOvTuyUj/fh0NDzznBpoRL3iaTyJbdhQTCzc0E0P4QQCja3LpOJaxNHFLUPaPUrhoCiDmO8pmR1gfDzLvXlfW+W0bwysMhcoqLl2VrIJogLFoFuVQOSasEEDe07M+rsenKSEUsCSAsbh+lPDAc0rlU6CkESCZGhGI5c5vCWqboNi3nOW5RL+gJzoa6e4RbAH/iM05BZC27BQGEyxzff98EV3TVQor9UAlNsW8YlNqrrG37QgAdwvzIEECcK3CVxeqwt2CQwV6uuhaaAOr9RVbqzwQ6g+lmAyHzxKELigvuMdzU7kJQZEgVTGDljChK0nJR/p8TEQvL9hNLhyDMn850SChLoDusE/Bf3YVwaIAo7CFTE5AEVeUm8s2FzmQDBtoF7BSgLV3cMGPFLWYXguvV9yVvdta1M0sAqdmzTr6r5cGwBd7ed7ejSOwbrGF3ISiskDKlNVBpm3JIWhJA5x/6XHMbuySAiONAsH9FsMwtxdRR6tlWBh2GmHOKEM9rWxBdRbdpNc8zBK3St2wZrDmfnn1oQ3kC/xOfJ0sqtng93wNCi4ulfZI/SpBlpXG7T/3OtFVZ2/aBADqU+ZEhgFSrzMx42FY2E5bFBFAr1IV6cC0pZQVarYYYNdzUTOX6InSheRGsSWD0Vf/75g0YKmTzxCc+E0xLUZJYlPF/3MWmTMBx3FVaCYGeiT6vuAa2eue6eu7bgU1nnhGId2rBqqlkVWIC6MyvomzALQggbm/Ickggu10KGWA4vI7JqJQhgHDFrV2zWh0MW+HtfXczkmO+c6vvQ1Be3IlVMmXTe5VDEnOIAzrxyWotNJYEEO3AakUN6kvK8tX4b63wW9aDNRJWSSVRDgiKbtNink9xACnhwe/XWVwCkoV0jOD2A5E6pRXduvZ+2w4J3Sx+JKxQLQD3wf0r23+1vLK2zZ0AOqT5oeifWDrhkoUeOrWQtEaxHJ9i/XUMoJWvTwrgL06MBjJXcUNBSshDlCdUBoHtgYWiGK2+V1GSerQzUyf+0mqwym31cvOCslsbsT7TZqUs7jitTOp3ZX6u9JMyJoDORErZgMcSQJA/xL7Bem8OwniHMKwNXK8SQMSuIGBvrbQ4GNa+e9Nz3nfPRAarsqmyU5W+Jy6+BBofk9pZOSRBAGG9OubCaZUAyliv9HA3WuLKRRoEmuL+hWVwKfaNotuMnedzGn/ssaRhVsmIk+OZ+B6km+8V27E0f07+/tWVYQ2y7xlb/iqLAOnEo1KEDL4cqI9RlLVtzgTQoc0PRf8kPuqP72iwsjZfRrhUMQE08QfC1xWf16xgJUMaSzVoWLb+XZRHGSOdXla4McRqAqX+7UOsG1JsQ1JcdAhueI2I4C8rmcj8ipKUeT8bIVmAsEIiYCQR41HoCFQJVjVmxaQfv3GmERvKZtJ0rlaBYoU//JsW8XVIG8vCxE0oh1H+MFuvtSjChQrLiDFCquNlQOaaevhmWPWhfP/TgjAgowU3gN8qKuPKO00AnYmSsgGPJYCIB4XSmRXG+LMWlgGkVH/vkKUF67mLLVJi4zbCQaM2iDR+5FjA1YhCAEH80OaatXPZprEHw5q+lZ7xvnt2hK4w4mIAl0T2KeKNEKQc8oGxzfi6xJDdUiEiTn4zrCdY09nLa0Q5JEHojo1dt0oAqe629AeLOmK/9RD2m5cKFRMfkDWo5Bqu6DZj5jnjBN2tRviG7Nk8/45h3z3foP9x4QWRqKYUX31/rcU07yYgeI3lDxe8jAv2eOYS1v7MHeYT9d0oEWh8tS98Z2KBgM+cJRMXk8PqL825Mx3bpqxtcyWADnF+KPpnZjigd71iOCNxjiC78nI/ZQ2oETJNl6yPqHtTXFrVUIV9YFuykvstgqITGH1ymVsWMABQgr5uAwqfecBECSOLxpQpv1t+QDY4+pK5MWGScACCUFBcIcCaTT1z24e1DAGUlVt2RUkqYcZGTeyZZwrpPMk4gjldpj+8H0VijHk9KQZJyZ4RrKmImaLEVUIhvekQgDlLcpGyuFbJYX14WYUrALfVkLFkj9nkMsgCTpYVbjlvnwFuTVkTQGeComzAYwggbk+yVjCQgRANjKlSmmsIITZflNos2XKTwRUzO6wUAihbJ+VRACAD6DM+/igDl66pqOMz3ndPgwtpwUVSZq1lnyJDGBcK/1L4ThBCEBKsfdm9iltTDoU1ohySauql71zIEP8OpZi9CoJ3KRkr5gskAnRm2gpRDWFdEnQNJcubotvUEkDsjbjhMUZU4V244j5RdKPjkgmiT+nrahu4bMuEAeBZMvtkxzl7Ey7nyruwnsAqk/5k9GX0FAix0l6kfoMe5SB0sGpV5BgT4yxxUda2uRJAhzg/FP2zNKZZ0x48rGkf3FKYeHXfvfidtTtDMrNvUV45K697PZcV7PclGXMGK9U96vc5EkB0KOM3vg0ABhDR//FdJpDamEP+KKCTD/NduPXIMJts5PwpxMzJ5rB5ZoL84ebE7X1JFCVpWx24lrABZmM8EUySQMyqMkB2iEwa59U2c5DLuB+idHBD+ucl8Nb8fu4hZhHtVQWFkHSaNcItIZZNGUEJQ+HPKFXctvPMlTIvWilrAuhM4JQNuJYAIi4B4xfFW5Flti5I3Jr1KWuGC3GOFVFmDNKPVgQQgWZZv184BO89uX5xwCtZGCi4ti5z7PvuEk/lMLGKPfOIOHY1CSmw8GReZBRX9hzWvKxk+7WufuYysRMYK7j0fODEnF43toklhP6lCLoIeLSUzx0IKkUfIA6Hsp8ruk0tAXSXIemHigFWvuzVH1UfWCnHGo61mmqRlo1XwcFslQwsNRF9464L4h8r9qxATuGymSHOWga4zrZXKY8HANbtikBcf1wpeIBllLVtjgTQoc4PRf/cNAxZN4kpCTGW2VMhtdmbMh4TWEOqe9PJ9poA6rSQoAxxu6xs2JkmoDRxs8JC8PJKJSrzvtqyWd9vbh7JEjZGMgvRIxYT8+7CyxQlaV01WBmxMbOI1MoNFpZKzxMfrnUD4yaXsaTG/SHTCQpu6Ya41Oysa6Cq1K6+F2XibQnFkEM3sRPeVWr8ht/Bkk28xhrIBNCZoCobcC0BlMnawLe5bjK4/7ohgnUf81S1yqiJJzKWAGLdwjqDg/E+yrHvu3yzzL5BeS4bWNfHCK7ZKLvqQY9LEUjRrCiHpG11YjIP0YWCnhGymGKFqpBckAVYELUU1h/FFTpzQFR0mxoCKBuQnQtO9MVat0BwxmqLcAGKcIFF/BxFsuvJmEvMZXvQI0gprVo2sT9h/Zi9LFD636IMewlhF0qS+S6luvbxd2Vty8zvJQa95jn1H/L8UPTPdeMMqxwIHMZzjTD/IbRVEpi14iE1LxrclW0BVAle6bGsVUqpvk2DjXTgLAzcaOMyNmYjrWnDumdoh3q7jsXF4xq9mAxWSvpyJimHpZJ7nbJ4nmw6Pt9M3gzzu6n7kGLcppUERQ0lPHsrzyHzKaXKh99x+cKUt5WigZsLrn6KEByXoNAZwS9VVaIgf0glTQyjMcJB4dEVgeFMAJ2JurIB1xBAmQMKJD4ptFkvWgjvhmRRLgYYE2QtzJj3jiGAiDuEuXJpTWyBQ886jnnfRXmE9FaICr4BMUTYr1oI7lNYjqlp1xnb2QsS5ZC0ri/MpWsnSIJ1dWT2E+b32EuS1TaobjQ/mNjPFd2mhgBSdRb6x203OkgLnQI9kvGhiDr2VNx5J+55j1deLpbBVVK1lG6ZMENsnlxM2cepjJAXZCw8VlHWtrkRQIc8P9Rxuzpe2WfI0Fcb+2xZV0ZHxUqbC4IasQVQDWqJZzKLeKLarUVZJCCFcHGCFNoWvKnVO1frge1Xb5AJCsmEaSWY0Kqmt0owaEVJWm0778YNiCCrLQQ3ECXGDu/K+mnipkfdWCaUhEMreNVm0NhUP2TJnUovH37PWAFlAnfyzfA9H0v+LLsBrii2mVtgE0BnDgJlA64hgNRUyhx+OMwq7hTiEP5MMQhqiGpFiM0F8apKLQE0xoVUbduU5Y5x3wVfVaGjLBazWF+0FCwxXicSnCR5uE3y5coh6WSVkLhYdhLDaoyw/3BRoEhLbHGbVi+TCMaqWjcpuk2WACLuGTFvFIKbugkU/SEFUKEM5CdW8YobNu4ZWIFuE+IWqiEXGJetswHhpowur/QHHQYs50jeE/BWGQ/ZDL3CkNirIsraNicC6NDnh6J/rg4w5iDxuFpdFnJ5zaVDSXgfiZFqRNUXsmfLmrZUPTPXGECrneGAy0F3V4LSQkpQMkgQS+gjnRtCAGs1Aw4Zmsiu0FKIu6NYFCluZ4qStNp2ggKrKS/VPqvpjbFgYYNQhcC0pVSx1IWihjXXWFZ7XbtQciCXFBIqc0i9+RBDScGiRaaxk+8hHgHEgaL48KwJoDO/lLIBZwkgrOS2BeNbbQW3kdxK9hACjCuuglnXzhoCaEzWsR7YtKrz2PZdcFPdLbDSYP/rIaoF1jJbZMb6QzkkrfaJd2DtoQTiVbBQ8eUCgD2ohbAOEY+rJFlCTdFtsgRQJtbZbRfZT8l821Jw7YKALAkuj7g+bhP2FoKylgR9jzgc2TiPpXr5/VKJMA9cVswtgzAW0apVOjEsVYsnBbt9K6OsbXMigA59fij65+oYw1Icw4tWksniWRs7ywRQq69VqCfrl9+zWdz6EaTLCyLTAAAgAElEQVQQn/KWZsq0OcMKQ4op7k1ZLLiFUm7BFLciRUlato/JzyLQWh44ZB4q1ZuNGUJ8IcZlSbjZUk2rS3Wt+51bYLJllCRjIgyxpWReItA28Qd6iHoQ4t0mgM78AsoGnCWA1OCkPdM509NMxioCwKpuYFkCCPIV0rrH4aXHnMrWeSz7LrhgKaAE5ufGkIOlalWSxRxLDCwnlKC8tPlViRcoh6TV6rC2IwhtK1H3Kt53nkYYqxdq2WCgim6TIYCyFsVXaeT6dfLbEhCVoN3bpHRrzoEKK27lAqc38YJlzPcLA5i9bZcXzeuaSHajDwttpwjux/cRyx5iMWVtmwsBdAzzQ9E/l+Owx4UK6+k7RXfujHfE6twxATThSoJ7EmZdWbPnnk3kAExQxFY3B2Q/oD5FUBB7uacp2WCUoHOKkrTsay+LAXWSEtSa4NaKqAfQ3ocF2oqShZmwIlgMlQ6rmaxmEJZjXQM2tZvbr78eAlSW+mYC6EyElA04QwBlDqa9lXp6i0WmEugvY1WYJYC4Ma8NVlga03P5/Rj2XbBWD4oZS8rab/hTEcHFRUkyexZ1KYek5Tt7BGPOWBCybyuWO9swUi+zalyAFN0mQwART0rJrEp/CRb+3NLgqPydLF8PF54l484m9zOV6MtaaArNOqMIlt0vEx7kQhdr5jnJxYfg6Uqb7jlkiFXKHmIZZW2bCwF0DPND0T+X43DbWjJmrKrhCpRwJuvaoZ4t7QI25iueeBaTZMxfMZdVbhgavnpjVVjDEARUjZ+zqSI2dSX1e81ClsHhx8S06Ocs3EIpShLtgiiBTFDNXTN9URWAzGFYtYSA0GMR6i0/PwRRLL2Hm71SfCnGMdleSoIlHLEaegqxBrjZKokJoDMRUjbgzJhXLSQU94DS91R+v9kQK6pUlltRZQxRT4YA6m3lVOrX1L8f8r4LualYiXGgv1gjy5Rt3++LhtvL0jfOxgBUDknLdxKPAQu31vL0IRNmqd4WMU1IjU5a8ZJAuD2oVOjE74pukyGA7pzQFSC2alK+K13EXZ0kJCXZdmhSraNbBlHf1F4sAd4sZo+sdQUpYVX7OwdHgtIr0jqItvLOOZVR1raac1PreQ5mxzA/FP0TLM5ahMe4VaeBpJ5jiaPLXpoVE0BZxBqWZxPkJoRsSErmqoav3lgVB6qHVWYSY6MivpBCainxd8b0Vw3YiCn8ttg2yuJJO3u6En2VeEvPd+MWRRHM4pWUvbWmhUobVsuQhv4VwkOKoquYgPMqiEo2sp6i3oCZADrzKygbcIYAIr35Y4SPPVVGFbImfVxoT+aQnCGAFDJVaN7eFTm0fZcPgMXaq4Uv0VNZPfl6xQqXZwhyrCYXUA5J1JmZMwJsZytyvUX2NPqmyNgDuZrVtKTHrGurottkCCCIKgirkvQm2NFDcd8quSBucpmHTCVOXEmP5dIPMvU/Sh1u8Ltq1ZSNA9mgaVuryFjMZUMY9G771PUra9scCKBjmR+K/skYqSVflPGlXhISz4x1NSsmgLKIdSqPv/i1Fia0KBeYcappXHs0B1NSNvLsDU0mdV2P4M8nscAnHjecTULGhJJpraIkUT+3X8rhsuZ7qZnN1EwU5xhMn0sKTpaUqOnb8hk1a1fJrB+LrpKLGO9Esb2QeGs+pl88S1yOUiaPLNYqXhmCpKafv7cg7q5TeJBAn1g8ZkXZgDP9e/ZAtpfawdqrZn8p1VX6XQkqmzmEqQQQdaKc97BYLPV5Tr8fwr4LnupNIXHJiP83hahBQrHYeIPYIOWQRFWkBFcSQYivPVsx9pgPCAQBD9Uq5jx7ATFDVi3Zpeg2mbWHLJol0oV+Efz+CTXAJ55hTLG/bxMI03Wu56oFEYH8STgyhagJO2gP7ZqLZIJA4xFBWvFjFWVtmwMBdCzzQ9E/Gau93L+oG3LpxcKEqM06aQJIAHcXRbAc4IYWEoNBQHrVKeVPBwuJTIpONegtbmaYiO+DKEoS/eh5m84hRQnWrSokkG+Kwj11VgZlwSWjHfGLNom6OU3hu79so5KS2gTQmV9UGQ8qAYQiSjDKEulZGl+t1yxF6eOdEDvcapdEJYC4red2yXJ2BPZx36UHkDo3FT5mz5hnJ1+vui9llFd1vvS+YCLGDFYZJVESTWyqg8C/uJGVhIyruKVlRdFtVAJIdfmjjeiyqltQtk8tykNQKSQK45tLhSlETa6iXgJO0eblO9Q08FOFG5iy75l3KWvbHAigY5kfiv6pro+ZcbBaVs1qWHuxYwKo9stM/Bw3K1gRkDkBskEJHjq2iQQHxU9aIR94FxkISL1bEixlsJjZB1GUJPrRkwVWb1FUAkhN1Tp1Vgn1EIOJ9yb5IfEWSXElazU+lTaZADoTbWUDVgkg4r+8SfigmUxzQnXFIqoypQalVgmgY1e2ix9mKLAP+27G9Zq9ZAqXFeBTLxoyQamVQxLv7t1PNUUvB4SLVLrUq3E2auPpKLqNesAhhAHuaiX5q4j4ylKhHf+uZl3LZrAb2y2FSJnyYkvtj7KPUxdxG9nPj1WUtW0OBNCxzA9l3NZ8j8z4Vr1qTABlUD2AsqQGxtoBQugbFoFxryma32a7nklvp6berh2s2ba3KK8oSb0VztYEEKbxiukyN8q4XE0lBLv9WeFlWHFsIiUhwThUl2SMaX6p7pO/XzEi/qLwkAmgMwFSNmCVAFKtEaa2eoPMJ2ZVSXCz+/1SoUQQ6GOPtyBAubbIHPdd1Tpgaus2MjYqsX0y6Z+VQ9JUFsZ/uQjQfFlhIOHWj6tsRiCNiDFTkseLyRPW1aPoNioBpO7d6iVVqd89f/8b0eIe1/z39GzIiboV/Ro9g8DUcxLFzZn2YilNnL5jFWVtqyEcWs5zvs2xzA9F/3xGRNy844A1AVQAd5s1QMfvMsuqGSwEgbv6EOC35O6gdoIDrBJgkswLkFIl6Rk0q/Tu7O+tF8/s+ynfmgBSgzXybhTAqUQdr5fYkmFGDTy6rY7W/VUCIZoAOhN1ZQNWCSAyjJBpTpE5jnnVzUO1ACLOHLHeLOMR2PW+qyYJmHo9533Kmv7EiLid+BmUQ9JUh2CsnbF6LklNDDQ1zXJt+l/a3FK3eeRCV8CqsCT3j4ifKRXa8e+Kpc1c59JU5GfmE6kJR1pkzcu0a25llbVtDgTQscwPRf8kZhUeFb3EBFABWRNA6wEiUjvKAT5+HB6U4HyboMYVjJSqnyp8CzUIIH6N1LkPoihJvTfd1gSQcpM052+DCTmm5OtECbjMc2Rg+sREnVRSNJsAOvNjKBuwSgCpN9QTDYn0azggc1AuiUoAcUnwh6XK/HsagV3su6oVWbozEz2QuUXtdUiq6apqeVWTcEDZo9kzOCDUuvQpuo1qAcRBCFfnkvQMzl16t/K7slcr9eyqjPq9pmzfkyICQrMkL4yI65YKHfDvvda2lvP8mOaHon/2thg3AVSY8CaAyisiWSu+fciMURs7iAxlpWjkqiIyZZadMjrbSyiLJ2QWpFYvaU0AqZZavfoztt5tvveqeerU60ZpbpgAOnNUKBuwSgDhykpMq30VNR6XCaD5fOGp9l329t+eT7fTLcnE3ep1SEo3enhAjdOj6E/LNqjE0j0j4mG1DW9sAaSmq5+7+z+Zw94/AtM5PDq1blPqM2P07qVCg7X5+UcQmsIrZl2k19qmnGFU4vCY5oeif5IM4B4dR5UJIBNATYcXt4UchkppqU++tORrTmwE1aKCFNYfb9qrfpUpiycZ067WrwnNXcBUS62OXRpVNZnxNsVNUcxTia1w0VEtyD9cwtwEUF8C6MkRcav8Z5vNE/cV42OZAJrNJztbQ3rtu7yEcc343lfBEg2LNEV6HZKUd68ro8YWw/30x8SXEJ9PSWFP5i2sj2tF0W3UgyH7MWO8JMSqxLpprqIeuObaftoF8Vyy1p+y/RyQHyq+cO4Z4sRuVBXrtba1nOfHND8UAgh3Vtxae4mKdy2x7ixgvb7cjOvFooQsSBlfbBQBMl1t2lguvFBw3if2eW43FNuarSyeNX65IlSfKdbaAqhkjZJp2y7KboohdQ5R8cmSLS36WLJMyrYJEvWjQsNUCxmhqrVFXipkJKyJgcHLlA1Y7Z96U1+LQ+/n1NgZJoB6f4n6+nvsu7QG6zAudfZVMhcovQ5Jtdip63BJf1p9vxI0l/hdxPEaI4puoxJAakDsr4kILJDnKlyM4ka+z3JuMfj6VH1USVLac+OFNT2ZzOYuxJB8u9BILhsJFq4Qcr3Wtpbz/JjmR0v9Uxgqa4uYACogt09kQu0g6PUcEfdJya4K7mMv21D40hHxVqGi7EFXqLJrEWXx3CcCSM3M0hXUkZVvMqcn4CgWQCVRldpSPZnfD9UC6BWLDDdXLQAxBwJIvaHOfNMpyz4wIu4nvNAEkADSjou03HfpCuMic5mz4+6f8fo/i4ivFxvV65Akvn5tMTXz5Db9aVmxerBskaFT0W3UvbK0vy37d/FFPJh3jQG787NYor2k8zt6V3+ehcvVx3q/JFG/6tJIlWSBxdp17kLgX/SakmSszXutbS3n+THNDxNAp0f3JSPiHaXBvovfTQDVow52xPW5hlgFpskoO+sE002sHEpC8F6C+O6LKIvnPhFAfPN/3xfwN7RzU1pd1Q0xsym3gqrkmpYlRtWbZ9VCprafSjypORBAana4Whx6P/eQiLi38BITQAJIOy7Sct+lKz8ZEY/YcZ/GvD6TtavXIWlM+3H/RgcoiZLm+s4R8ahCRZAyuDCPdaNXdJvWBBDtVtLbl7Ds9ftVFoGIIST3Wc43cfZWBauSBfSyjhdFxLWVCndcRs1sNof4Zi3n+THNDxNApyeZCaDCggMxwu3NNmERvOOOF66Trydtu2qS+4BFgDYOlOsE97APCH3bxeFbaNbGIsriuU8EEB1Vb+tIFz9WyRyD/aZnyej0dxt+VN3bpiSOFRe+fSWAFMVuDgTQUxYE9Q8Ig/EtEYFV09yE9is308dGAB37vss4JfsSWZgUOUspNHEZXG6IkaPIHAkg1nduR0lusU3QfbCG+PSWQq+OiK8t1NMq84yi26gEkHIRQLewFGevm6t8eUS8WWzcHOcSF013muElHzGtuEBWhIzFajgJpb7WZcggq+rFmRgxvda2lvP8mOaHCaDTM8cEUGEVUQ/VKAvqIbX1wrWpPuUQx7PbDnKZ9IBTHr7HYqgsnvtGAKn++vguv2csgBM/j3l5SRGnSYzXbYp4y2afV7iR20cCSLUmmwMB9OhBMS591xauFaV39Pz92AigY993GUvfFRFkYSpJK+Kg9J6ev/c6JI1tM24rXJCVBGshYh6tky+NCAjoknAL3yJOjaLbqASQkraefpEtlaypcxXIB9aUkvCdOAxbNARuFhHP0IrGHcQg6GJ1zYsRg7KUEXn50u+OiN8QW9BrbWs5z49pfpgAOj1wTQAVJrF6qB6buUFcS1LF1DSNz4+IG26pueTmsnwUV51Pplq4u8LK4rlvBJAaD2Xuytq6UaHcoPLclNkmcHl8Y2EI7yMB9AUR8UFhas6BAFLjpJCpR7VGELo+eZFjI4C870YQW4Zg7CV5VkRAcO6z9DokjcVEDdaJe9ddN7yMtO64em6TlsSDotuoBNAzxbG1LYPn2G/Q4nnVjVzFpUWbDqEOLhPVjHVzDxNB6u+7iR/lK4ZkFkrxXmtby3l+TPPDBNDpUWsCqDCDlWw4VLEpg5GyQPQqowY0K/nqq5ZEl42IN/XqTON6lcVz3wggbou5NS7JHMdqqc2/t3DhuU6p0EBkQmhOIUoWjH0kgC4XEW8QAJwDAQSxgwVESdRsW6V6dvX7sRFA3ndPWVW8ThhwmWxbQnU7KdLrkNSiM0r2LtzAmKPr4vApZCbkUSlGkNoXRbdRiQ5I8x8VXnxbMXiuUFW3IqqF/tyybXUDpFHF6vmA110xIrjMm5tgOf420cp821xf169ea1vLeU67j2V+mAA6PUpNABVWIuKlcNArybZAyqVne/3+nWLqRWJQQApsEkUB4llwenavzqzUS8DBbe5mKGGlgITK4rlvBNATFzF0fkTAf+6muOu68GsLM/pbCH27V0Q8VCjXoggZnH6qUNE+EkCqWfccCKDvi4inCh+TFLSkot1XOTYCyPvuqdiDSkpiDvMXmGF8kMxc63VIyrRhU1k1FhMZz04GGlbJ9JZu2YpuoxJAEOeb4kOu4jWVGyLWqWQ83Sbv35CeW3Ujn3tK+xZjumUdKknIOynLpc3c5JYRocZ+wrMCqz5Veq1tLec5fTmW+WEC6PTINQFUmMXq4jbVBqguOpRTLBQoh7LNoW+TcDNFFouSZAKjlera9LuqFJcUKmXx3DcCiEDkZCQpCQdmJXBuqZ4pf8c0FxPdkkzpDvG8iLhBoUG9CKCeFi2q6+gcCKArRMRrSoNiiNVEFpV9lWMjgLzvRpwjIj4UEZ8vDNqMS4JQ3eRFeh2SWnREdYlddzCEPGGt3iaZjEJKfxTdRiWA1EvEKazQuPR7p2ClsSnem5rhCct5Nfi68j0OvYwaq2yJw1cJrvNTYob7E1ZMSoxJ2vV1os6x7EOvta3lPKetxzI/TACdnl0mgAorjeK/TRVsqBeLiI9NuXIV3nUP0RqCBerHt9RFwDMO1iWZQgn4icVt52NKDYmIUjwiZfHcNwII81rc+UqCzzYxq6YSJTh4yfxUTclLn84zwTxU07X3IoAIfnyXTh9QtfibAwGUCVJ/KdGiohWspXFfGvOr7Tg2Asj77qmv/9yFy8SNhAEJoa9YwglVSUVKY5tKMuO71yFJ6oxQSLFAZV+9+Eq/weitQ1y6ba/AMhELxVai6DYqAUR2s02ZOU+29/yLPYl4kb2ELGqK+9A6SyzaxCWm4mYH+QMJNJW0nktTtXv5HvZgDtXEX1QEvZqYUZn1Qam3tgzui08QH87qc1Tba21rOc+PaX6YADo92E0AFSY+mRlOmvVueuR2i3SguOHMRZ68OPDcSmgMt1TbMl1AFnDzoggsuqowKPWdLEMq56sWHlSIKGXx3DcC6JwR8W8iqGQmQTntLSg3pF/9ssKLIDMgNTaJSrjwPLeWv925YyopmlUY1G/4tIjA/am1ZBT+ORBA9P8FEXE9AYhbR8SvCOVaFFGUvszN/7ERQN53T43Cn1wQ2o8QBiTjmvE9hahrH2vZp8QGKfOl9368ramsL6wzJbnSIg7dq4ZCCmEBEXORiPhEqeLE74puoxJAvFaN8dI70yI6KlnZSrLpAkhdUyDyOBhNkU1UDaK8Oq5K/d/F798fEb+aeDEuV5nyiapTRdErif1DFixFGH8/qxRcKdNrbWs9z49lfpgAOj04TQAVJjPsNhlxFDNsDnscdKfYOEprEAdvMhQRmLkkxI15UqGQ6h/aMxaSSkT93KA4b+uSsnj2Vjg/Wxwrv7CIaQSuiqjBknu6EK22U7XcUZRHhfzj3b3IkdV+qeayWQKIdyhZ90pxu5Sxsq7M7SOC8abIXAigu0cE7hclUYjhUh3K7+wVyk14Jh7CsRFA3ndPjTQuO1j3FCEO0EeUgiPLKKnBs+ter0PSyK7+/8chsyAGSgfFBy8yod5neIrMX6VYIT0sORXdJkMAoRveRgCyt/u1QkSRip7g6etEzXTEs1Mlyrh3RDxIwLYU0kCoomuRrBUQ44/Dp5JttGfDieFILEdVar5Dr7Wt9Tw/lvlhAuj0aDcBJMx8xfx3Wc0U1gdCkz9jBaGaFZPOmhSN20RVAtiAicuxLhuG0u5tZdSMP98bEaQv3SbK4rmPBBBBkFFCS0KQbKw9epOVTxHjDSmWYwR3xq1REWJFqVZrSn2rZdRbO57JHoR4Rska08ON71wLq6K/TvjCz4UA+saIwG1NkSlipahBY5V1atmnYyOA6Lf33Qjm5MeVgb1Y7xh3WP32lC8fLDpL78hcWlBXr0NSqZ2Z35XYaMv1nsuddwhraTaeiNJeRbfJEEAZ646aA7LSJzUjXmnc/X5EXEt4IdYpWKn0FEgTrOVLpGKNDtGz3ZvqzgRSpg4uZK67uKz9l100dkgK8RuJd9fGOO21trWe50BxDPPDBNDpQW8CSFgA8K/nIKvIWyKCAwmZCHYlbCwcIktuN7QPIoDYRSV/3G8YFmylTwSFw0KipZx3keL89aKfsXL4VxbPfSSALj/gpGCvWN0o9Wwqw2H7TUIFqoKDsrw0ry9ViysmLpk9JHMwVfu22k7Viqt1MEXV3WTZ1rkQQGSFgewrKdK0u3ewfkzKXyuuvQrpucT6GAkg77unvj6ZNW8iLGRc4nBQVt2uhCrPKKK6lWf3ll6HpJo+bnpGJSFw/WJNKllu8b24fGstim6TIYDQvd4jWsH3sGgCn6cviEcI85LcPCKesaWQeolIFb0PR4RnUAjbjKVoCZ+ev2Mlh76jBlOmLVgyE+Ns6tipGctK2sl8oV+KZe9JjHutba3nOe0+hvlhAuj0CO29xlWvN0pgtOrKkw9eeDEx3pd4hkC8mJCyaOxCVJcI2pYJeEcAPpSbkqDYQES0tC55nOgGpbrGKIvnPhJAfBuVQID8I3DfR0sftOJ3zElRgJXxkklLrwYopskQoFi0tJRviog/SlRYQwARz+MHhXfU+KNvqhby5B+Ed64WmQsBRJvUgPeUZUxC0vQQZV3hvdm09MdIAHnfPTVCM5cvmbU0O/4JVqzcmLOvcAnzr4kX9DokJZogFeUSCt1mm2ApQMbBUuZUEm/Q79airEEZAoj2KdZPy34QCJuQAa1EzWbL+3C/3WZRwu9Y3SghHRjrxLvqISQkQDdQZJ/S0quk1mq/nz8Q3C3jYG3D9dLD/q+MgWU9Y0Jb9FrbeszzY5gfJoBOzw4TQMoKvAiuq/rqLqt70SJV4LcnlSCxKRuLQZoR2+V+iYq+Y8g0ojySMQXGD15xRVLee+2IeKFScHA3UrKhKIvnvhJAkI8vFvFajVkgPiIVw6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-/*!
- * Marp default theme.
- *
- * @theme default
- * @author Yuki Hattori
- *
- * @auto-scaling true
- * @size 16:9 1280px 720px
- * @size 4:3 960px 720px
- */div#\:\$p>svg>foreignObject>section,div#\:\$p>svg>foreignObject>section 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class="bespoke-marp-osc"><button data-bespoke-marp-osc="prev" tabindex="-1" title="Previous slide">Previous slide</button><span data-bespoke-marp-osc="page"></span><button data-bespoke-marp-osc="next" tabindex="-1" title="Next slide">Next slide</button><button data-bespoke-marp-osc="fullscreen" tabindex="-1" title="Toggle fullscreen (f)">Toggle fullscreen</button><button data-bespoke-marp-osc="presenter" tabindex="-1" title="Open presenter view (p)">Open presenter view</button></div><div id=":$p"><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="1" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="1" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="execution-engine-kcs">Execution Engine: KCS</h1>
-<br />
-<h2 id="authors-connor-kyle-sarvesh"><strong>Authors: Connor, Kyle, Sarvesh</strong></h2>
-<p>Vectorized Push-Based inspired Execution Engine</p>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="2" data-marpit-fragments="4" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="2" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="overview">Overview</h1>
-<p>We will be taking heavy inspiration from:</p>
-<ul>
-<li data-marpit-fragment="1"><a href="https://arrow.apache.org/datafusion/">DataFusion</a></li>
-<li data-marpit-fragment="2"><a href="https://velox-lib.io/">Velox</a></li>
-<li data-marpit-fragment="3"><a href="https://github.com/influxdata/influxdb">InfluxDB</a>
-<ul>
-<li data-marpit-fragment="4">which is built on top of DataFusion</li>
-</ul>
-</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-marpit-fragments="4" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="3" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="15" data-marpit-advanced-background="background" data-marpit-advanced-background-split="right"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;./images/robustness.png&quot;);background-size:120%;"></figure></div></section></foreignObject><foreignObject width="50%" height="720"><section id="3" data-marpit-fragments="4" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="3" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="15" data-marpit-advanced-background="content" data-marpit-advanced-background-split="right">
-<h1 id="our-design-goals">Our Design Goals</h1>
-
-<ul>
-<li data-marpit-fragment="1">Robustness</li>
-<li data-marpit-fragment="2">Modularity</li>
-<li data-marpit-fragment="3">Extensibility</li>
-<li data-marpit-fragment="4">Forward Compatibility</li>
-</ul>
-</section>
-</foreignObject><foreignObject width="1280" height="720" data-marpit-advanced-background="pseudo"><section data-marpit-fragments="4" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="3" style="" data-marpit-pagination-total="15" data-marpit-advanced-background="pseudo" data-marpit-advanced-background-split="right"></section></foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="4" data-marpit-fragments="4" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="4" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="features">Features</h1>
-<ul>
-<li data-marpit-fragment="1">Encode behavior in the type system</li>
-<li data-marpit-fragment="2">Provide bare minimum statistics the optimizer needs
-<ul>
-<li data-marpit-fragment="3">Timing</li>
-<li data-marpit-fragment="4">Cardinality</li>
-</ul>
-</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="5" data-marpit-fragments="4" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="5" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="list-of-rust-crates-we-plan-to-use">List of rust crates we plan to use</h1>
-<ul>
-<li data-marpit-fragment="1"><code>arrow</code>: for handling the Apache Arrow format</li>
-<li data-marpit-fragment="2"><code>tokio</code>: high performance <code>async</code> runtime</li>
-<li data-marpit-fragment="3"><code>rayon</code>: data parallelism crate</li>
-<li data-marpit-fragment="4"><code>anyhow</code>: ergonomic <code>Error</code> handling</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="6" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="6" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="design-rationale">Design Rationale</h1>
-<p>Push vs Pull Based</p>
-<table>
-<thead>
-<tr>
-<th>Push</th>
-<th>Pull</th>
-</tr>
-</thead>
-<tbody>
-<tr>
-<td>Improves cache efficiency by removing control flow logic</td>
-<td>Easier to implement</td>
-</tr>
-<tr>
-<td>Forking is efficient: You push a thing only once</td>
-<td>Operators like LIMIT make their producers aware of when to stop running (Headache for the optimizer)</td>
-</tr>
-<tr>
-<td>Parallelization is easier</td>
-<td>Parallelization is harder</td>
-</tr>
-</tbody>
-</table>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="7" data-marpit-fragments="3" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="7" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="step-1-finalize-interfaces">Step 1: Finalize Interfaces</h1>
-<p>Finalize API with other teams:</p>
-<ul>
-<li data-marpit-fragment="1">I/O Service</li>
-<li data-marpit-fragment="2">Catalog</li>
-<li data-marpit-fragment="3">Scheduler</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-marpit-fragments="1" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="8" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="15" data-marpit-advanced-background="background" data-marpit-advanced-background-split="right"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;./images/bufferpool.png&quot;);background-size:80%;"></figure></div></section></foreignObject><foreignObject width="50%" height="720"><section id="8" data-marpit-fragments="1" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="8" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;--marpit-advanced-background-split:50%;" data-marpit-pagination-total="15" data-marpit-advanced-background="content" data-marpit-advanced-background-split="right">
-<h1 id="step-2-buffer-pool-manager">Step 2: Buffer Pool Manager</h1>
-
-<p>Need to spill the data to local disk.</p>
-<ul>
-<li data-marpit-fragment="1">Can potentially rip out the <a href="https://docs.rs/datafusion/latest/datafusion/execution/memory_pool/index.html"><code>memory_pool</code></a></li>
-</ul>
-</section>
-</foreignObject><foreignObject width="1280" height="720" data-marpit-advanced-background="pseudo"><section data-marpit-fragments="1" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="8" style="" data-marpit-pagination-total="15" data-marpit-advanced-background="pseudo" data-marpit-advanced-background-split="right"></section></foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="9" data-marpit-fragments="11" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="9" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="step-3-implement-operators">Step 3: Implement operators</h1>
-<ul>
-<li data-marpit-fragment="1">TableScan</li>
-<li data-marpit-fragment="2">FilterProject</li>
-<li data-marpit-fragment="3">HashAggregation</li>
-<li data-marpit-fragment="4">HashProbe + HashBuild</li>
-<li data-marpit-fragment="5">MergeJoin</li>
-<li data-marpit-fragment="6">NestedLoopJoin</li>
-<li data-marpit-fragment="7">OrderBy</li>
-<li data-marpit-fragment="8">TopN</li>
-<li data-marpit-fragment="9">Limit</li>
-<li data-marpit-fragment="10">Values</li>
-<li data-marpit-fragment="11">More may be added as a stretch goal.</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="10" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;--marpit-advanced-background-split:70%;" data-marpit-pagination-total="15" data-marpit-advanced-background="background" data-marpit-advanced-background-split="right"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;./images/architecture.drawio.svg&quot;);background-size:100%;"></figure></div></section></foreignObject><foreignObject width="30%" height="720"><section id="10" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="10" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;--marpit-advanced-background-split:70%;" data-marpit-pagination-total="15" data-marpit-advanced-background="content" data-marpit-advanced-background-split="right">
-<h1 id="final-design">Final Design</h1>
-</section>
-</foreignObject><foreignObject width="1280" height="720" data-marpit-advanced-background="pseudo"><section data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="10" style="" data-marpit-pagination-total="15" data-marpit-advanced-background="pseudo" data-marpit-advanced-background-split="right"></section></foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="11" data-marpit-fragments="2" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="11" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="testing">Testing</h1>
-<ul>
-<li data-marpit-fragment="1">Unit tests for each operator</li>
-<li data-marpit-fragment="2">Timing each operator's performance to benchmark our code</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="12" data-marpit-fragments="3" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="12" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="for-the-sake-of-code-quality">For the sake of code quality...</h1>
-<ul>
-<li data-marpit-fragment="1">Pair programming (all combinations: KC, KS, CS)</li>
-<li data-marpit-fragment="2">Unit testing for each operator</li>
-<li data-marpit-fragment="3">Integrated tests across mutliple operators</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="13" data-marpit-fragments="3" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="13" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="stretch-goal">Stretch Goal</h1>
-<ul>
-<li data-marpit-fragment="1">Integrating with a DBMS</li>
-<li data-marpit-fragment="2">Testing against TPC-H or TPC-H like workload</li>
-<li data-marpit-fragment="3">Add a lot of statistics and timers to each operator (for optimizer's sake)</li>
-</ul>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="14" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="14" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="potential-storageclient-api">Potential <code>StorageClient</code> API</h1>
-<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-rust"><span class="hljs-comment">/// Will probably end up re-exporting this type:</span>
-<span class="hljs-keyword">pub</span> <span class="hljs-keyword">type</span> <span class="hljs-title class_">SendableRecordBatchStream</span> =
-    Pin&lt;<span class="hljs-type">Box</span>&lt;
-        <span class="hljs-keyword">dyn</span> RecordBatchStream&lt;Item =
-            <span class="hljs-type">Result</span>&lt;RecordBatch, DataFusionError&gt;
-        &gt; + <span class="hljs-built_in">Send</span>
-    &gt;&gt;;
-
-<span class="hljs-keyword">impl</span> <span class="hljs-title class_">StorageClient</span> {
-    <span class="hljs-comment">/// Have some sort of way to create a `StorageClient` on our local node.</span>
-    <span class="hljs-keyword">pub</span> <span class="hljs-keyword">fn</span> <span class="hljs-title function_">new</span>(_id: <span class="hljs-type">usize</span>) <span class="hljs-punctuation">-&gt;</span> <span class="hljs-keyword">Self</span> {
-        <span class="hljs-keyword">Self</span>
-    }
-
-    <span class="hljs-keyword">pub</span> <span class="hljs-keyword">async</span> <span class="hljs-keyword">fn</span> <span class="hljs-title function_">request_data</span>(
-        &amp;<span class="hljs-keyword">self</span>,
-        _request: BlobData,
-    ) <span class="hljs-punctuation">-&gt;</span> SendableRecordBatchStream {
-        todo!()
-    }
-}
-</code></pre>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="15" data-class="invert # Remove this line for light mode" data-paginate="true" data-theme="default" lang="C" class="invert # Remove this line for light mode" data-marpit-pagination="15" style="--class:invert # Remove this line for light mode;--paginate:true;--theme:default;" data-marpit-pagination-total="15">
-<h1 id="example-usage-of-the-storage-client">Example usage of the storage client</h1>
-<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-rust"><span class="hljs-meta">#[tokio::main]</span>
-<span class="hljs-keyword">async</span> <span class="hljs-keyword">fn</span> <span class="hljs-title function_">main</span>() <span class="hljs-punctuation">-&gt;</span> anyhow::<span class="hljs-type">Result</span>&lt;()&gt; {
-    <span class="hljs-comment">// Initialize a storage client</span>
-    <span class="hljs-keyword">let</span> <span class="hljs-variable">sc</span> = storage_client::StorageClient::<span class="hljs-title function_ invoke__">new</span>(<span class="hljs-number">42</span>);
-
-    <span class="hljs-comment">// Formualte a request we want to make to the storage client</span>
-    <span class="hljs-keyword">let</span> <span class="hljs-variable">request</span> = <span class="hljs-title function_ invoke__">create_column_request</span>();
-
-    <span class="hljs-comment">// Request data from the storage client</span>
-    <span class="hljs-comment">// Note that this request could fail</span>
-    <span class="hljs-keyword">let</span> <span class="hljs-variable">stream</span> = sc.<span class="hljs-title function_ invoke__">request_data</span>(request).<span class="hljs-keyword">await</span>?;
-
-    <span class="hljs-comment">// Executor node returns a future containing</span>
-    <span class="hljs-comment">// another stream that can be sent to another operator</span>
-    <span class="hljs-keyword">let</span> <span class="hljs-variable">table_scan_node</span> = operators::TableScan::<span class="hljs-title function_ invoke__">new</span>();
-    <span class="hljs-keyword">let</span> <span class="hljs-variable">result</span> = table_scan_node.<span class="hljs-title function_ invoke__">execute_with_stream</span>(stream);
-
-    <span class="hljs-title function_ invoke__">Ok</span>(())
-}
-</code></pre>
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diff --git a/proposal/presentation.md b/proposal/presentation.md
deleted file mode 100644
index 49efdc0..0000000
--- a/proposal/presentation.md
+++ /dev/null
@@ -1,211 +0,0 @@
----
-marp: true
-theme: default
-class: invert # Remove this line for light mode
-paginate: true
----
-
-# Execution Engine: KCS
-
-<br>
-
-## **Authors: Connor, Kyle, Sarvesh**
-
-Vectorized Push-Based inspired Execution Engine
-
-
----
-
-
-# Overview
-
-We will be taking heavy inspiration from:
-* [DataFusion](https://arrow.apache.org/datafusion/)
-* [Velox](https://velox-lib.io/)
-* [InfluxDB](https://github.com/influxdata/influxdb)
-    * which is built on top of DataFusion
-
-
----
-
-
-# Our Design Goals
-
-![bg right:50% 120%](./images/robustness.png)
-
-* Robustness
-* Modularity
-* Extensibility
-* Forward Compatibility
-
-
----
-
-
-# Features
-
-* Encode behavior in the type system
-* Provide bare minimum statistics the optimizer needs
-    * Timing
-    * Cardinality
-
-
----
-
-
-# List of rust crates we plan to use
-
-* `arrow`: for handling the Apache Arrow format
-* `tokio`: high performance `async` runtime
-* `rayon`: data parallelism crate
-* `anyhow`: ergonomic `Error` handling
-
-
----
-
-
-# Design Rationale
-
-Push vs Pull Based
-
-| Push | Pull |
-| ---  | ---  |
-| Improves cache efficiency by removing control flow logic | Easier to implement |
-| Forking is efficient: You push a thing only once | Operators like LIMIT make their producers aware of when to stop running (Headache for the optimizer) |
-| Parallelization is easier | Parallelization is harder |
-
-
----
-
-
-# Step 1: Finalize Interfaces
-
-Finalize API with other teams:
-
-* I/O Service
-* Catalog
-* Scheduler
-
-
----
-
-
-# Step 2: Buffer Pool Manager
-
-![bg right:50% 80%](./images/bufferpool.png)
-
-Need to spill the data to local disk.
-
-* Can potentially rip out the [`memory_pool`](https://docs.rs/datafusion/latest/datafusion/execution/memory_pool/index.html)
-
-
----
-
-
-# Step 3: Implement operators
-
-* TableScan
-* FilterProject
-* HashAggregation
-* HashProbe + HashBuild
-* MergeJoin
-* NestedLoopJoin
-* OrderBy
-* TopN
-* Limit
-* Values
-* More may be added as a stretch goal.
-
-
----
-
-
-# Final Design
-
-![bg right:70% 100%](./images/architecture.drawio.svg)
-
-
----
-
-
-# Testing
-* Unit tests for each operator
-* Timing each operator's performance to benchmark our code
-
-
----
-
-
-# For the sake of code quality...
-
-* Pair programming (all combinations: KC, KS, CS)
-* Unit testing for each operator
-* Integrated tests across mutliple operators
-
-
----
-
-
-# Stretch Goal
-
-* Integrating with a DBMS
-* Testing against TPC-H or TPC-H like workload
-* Add a lot of statistics and timers to each operator (for optimizer's sake)
-
-
----
-
-
-# Potential `StorageClient` API
-
-```rust
-/// Will probably end up re-exporting this type:
-pub type SendableRecordBatchStream =
-    Pin<Box<
-        dyn RecordBatchStream<Item =
-            Result<RecordBatch, DataFusionError>
-        > + Send
-    >>;
-
-impl StorageClient {
-    /// Have some sort of way to create a `StorageClient` on our local node.
-    pub fn new(_id: usize) -> Self {
-        Self
-    }
-
-    pub async fn request_data(
-        &self,
-        _request: BlobData,
-    ) -> SendableRecordBatchStream {
-        todo!()
-    }
-}
-```
-
-
----
-
-
-# Example usage of the storage client
-
-```rust
-#[tokio::main]
-async fn main() -> anyhow::Result<()> {
-    // Initialize a storage client
-    let sc = storage_client::StorageClient::new(42);
-
-    // Formualte a request we want to make to the storage client
-    let request = create_column_request();
-
-    // Request data from the storage client
-    // Note that this request could fail
-    let stream = sc.request_data(request).await?;
-
-    // Executor node returns a future containing
-    // another stream that can be sent to another operator
-    let table_scan_node = operators::TableScan::new();
-    let result = table_scan_node.execute_with_stream(stream);
-
-    Ok(())
-}
-```
\ No newline at end of file
diff --git a/proposal/presentation.pdf b/proposal/presentation.pdf
deleted file mode 100644
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diff --git a/proposal/proposal.md b/proposal/proposal.md
deleted file mode 100644
index 3f57f21..0000000
--- a/proposal/proposal.md
+++ /dev/null
@@ -1,263 +0,0 @@
-# Execution Engine
-
-* Sarvesh (sarvesht)
-* Kyle (kbooker)
-* Connor (cjtsui)
-
-
-
-# Overview
-> What is the goal of this project? What will this component achieve?
-
-The purpose of this project is to create the Execution Engine (EE) for a distributed OLAP database.
-
-We will be taking heavy inspiration from [DataFusion](https://arrow.apache.org/datafusion/), [Velox](https://velox-lib.io/), and [InfluxDB](https://github.com/influxdata/influxdb) (which itself is built on top of DataFusion).
-
-There are two subgoals. The first is to develop a functional EE, with a sufficient number of operators working and tested. Since all other components will have to rely on us to see any sort of outputs, it would be ideal if we had naive implementations of operators that just work (even if they are slow).
-
-The second is to add either interesting features or optimize the engine to be more performant (or both). Since it is unlikely that we will outperform any off-the-shelf EEs like DataFusion, we will likely try to test some new feature that these engines do not use themselves.
-
-
-
-# Architectural Design
-> Explain the input and output of the component, describe interactions and breakdown the smaller components if any. Include diagrams if appropriate.
-
-We will be creating a vectorized push-based EE. This means operators will push batches of data up to their parent operators in the physical plan tree.
-
----
-
-### Operators
-
-We will implement a subset of the operators that [Velox implements](https://facebookincubator.github.io/velox/develop/operators.html):
-- TableScan
-- FilterProject
-- HashAggregation
-- HashProbe + HashBuild
-- MergeJoin
-- NestedLoopJoin
-- OrderBy
-- TopN
-- Limit
-- Values
-
-The `trait` / interface to define these operators is unknown right now. We will likely follow whatever DataFusion is outputting from their [`ExecutionPlan::execute()`](https://docs.rs/datafusion/latest/datafusion/physical_plan/trait.ExecutionPlan.html#tymethod.execute) methods.
-
----
-
-### 3rd-party crates
-
-We will be making heavy use of `tokio` and `rayon`.
-
-[`tokio`](https://tokio.rs/) is a high-performance asynchronous runtime for Rust that provides a very well-tested work-stealing lightweight thread pool that is also very well-documented with lots of features and support.
-
-[`rayon`](https://docs.rs/rayon/latest/rayon/) is a data parallelism crate that allows us to write parallelized and safe code using a OS thread pool with almost no developer cost.
-
-The difference is a bit subtle, but it comes down to using `tokio` for interacting with the storage client from the I/O Service component (basically handling anything asynchronous), and using `rayon` for any CPU-intensive workloads (actual execution). `tokio` will provide the scheduling for us, and all we will need to do is write the executors that `tokio` will run for us.
-
-There is a Rust-native [`arrow`](https://arrow.apache.org/rust/arrow/index.html) crate that gives us bindings into the [Apache Arrow data format](https://arrow.apache.org/overview/). Notably, it provides a [`RecordBatch`](https://arrow.apache.org/rust/arrow/array/struct.RecordBatch.html) type that can hold vectorized batches of columnar data. This will be the main form of data communicated between the EE and other components, as well as between the operators of the EE itself.
-
-Finally, there is a [`substrait`](https://docs.rs/substrait/latest/substrait/) crate that provides a way to decode query plan fragments encoded in the substrait format.
-
----
-
-### Interface and API
-
-Each EE can be treated as a mathematical function. It receives as input a physical plan from the scheduler, and outputs an Apache Arrow `RecordBatch` or `SendableRecordBatchStream`.
-
-The physical plan tree it receives as input has nodes corresponding to one of the operators listed above. These plans will be given to each EE by the Scheduler / Coordinator as [substrait](https://substrait.io/) query plan fragments. More specifically, the EE will parse out the specific nodes in the relational tree, nodes represented in this [`substrait::proto::rel::RelType` enum](https://docs.rs/substrait/latest/substrait/proto/rel/enum.RelType.html).
-
-```rust
-pub enum RelType {
-    Read(Box<ReadRel>),
-    Filter(Box<FilterRel>),
-    Fetch(Box<FetchRel>),
-    Aggregate(Box<AggregateRel>),
-    Sort(Box<SortRel>),
-    Join(Box<JoinRel>),
-    Project(Box<ProjectRel>),
-    Set(SetRel),
-    ExtensionSingle(Box<ExtensionSingleRel>),
-    ExtensionMulti(ExtensionMultiRel),
-    ExtensionLeaf(ExtensionLeafRel),
-    Cross(Box<CrossRel>),
-    Reference(ReferenceRel),
-    Write(Box<WriteRel>),
-    Ddl(Box<DdlRel>),
-    HashJoin(Box<HashJoinRel>),
-    MergeJoin(Box<MergeJoinRel>),
-    NestedLoopJoin(Box<NestedLoopJoinRel>),
-    Window(Box<ConsistentPartitionWindowRel>),
-    Exchange(Box<ExchangeRel>),
-    Expand(Box<ExpandRel>),
-}
-```
-
-Once the EE parses the plan and will figure out what data it requires. From there, it will make a high-level request for data it needs from the IO Service (e.g. logical columns from a table). For the first stages of this project, we will just request entire columns of data from specific tables. Later in the semester, we may want more granular columnar data, or even point lookups.
-
-The IO Service will have a `StorageClient` type that the EE can use locally on an execution node as a way to abstract the data it is requesting and receiving (_the IO service team will expose this type from their own crate, and we can link it into our EE crate_). The IO Service will return to the EE data as a `tokio::Stream` of Apache Arrow `RecordBatch` (something like `Stream<Item = RecordBatch>`, which will probably mean using a re-exported [`SendableRecordBatchStream`](https://docs.rs/datafusion/latest/datafusion/physical_plan/type.SendableRecordBatchStream.html) from DataFusion).
-
-The IO Service will retrieve the data (presumably by talking with the Catalog) from the blob store, parse it into an Apache Arrow format (which means the IO service is in charge of decoding Parquet files into the Arrow format), and then send it to the EE as some form of asynchronous stream.
-
-A potential `StorageClient` API in Rust that the IO service would expose:
-
-```rust
-//! Right now we have this in a submodule `storage_client.rs`, but the IO service
-//! team would probably create a crate and we could import it easily into our `Cargo.toml` file
-
-use anyhow::Result;
-use arrow_array::RecordBatch;
-use tokio_stream::Stream;
-
-// Placeholder types to let this compile
-type ColumnId = String;
-type TableId = String;
-type RecordId = usize;
-
-/// For now, pretend that this is an opaque type that the
-/// I/O Service team will provide to us in a crate.
-/// This type should be `Sync` as well, to support
-/// multiple instances of a `StorageClient`.
-pub struct StorageClient;
-
-/// Have some way to request specific types of data.
-/// As long as it comes back as a `RecordBatch`,
-/// we should be fine to have any type of request here.
-pub enum BlobData {
-    Table(TableId),
-    Columns(TableId, Box<[ColumnId]>),
-    Tuple(RecordId),
-}
-
-pub type SendableRecordBatchStream =
-    Pin<Box<dyn RecordBatchStream<Item =
-        Result<RecordBatch, DataFusionError>
-        > + Send
-    >>;
-
-impl StorageClient {
-    /// Have some sort of way to create a `StorageClient` on our local node.
-    pub fn new(_id: usize) -> Self {
-        Self
-    }
-
-    /// The only other function we need exposed would be a way to actually get data.
-    /// What we should get is a stream of `Recordbatch`s, which is just Apache Arrow
-    /// data in memory.
-    ///
-    /// The executor node really should not know what the underlying data is on the Blob data store.
-    /// In our case it is Parquet, but since the Execution Engine is not in charge or loading
-    /// those Parquet files, it should just receive it as in-memory Arrow data
-    ///
-    /// Note that we will likely re-export the `SendableRecordBatchRecord` from DataFusion
-    /// and use that as the return type instead
-    pub async fn request_data(
-        &self,
-        _request: BlobData,
-    ) -> SendableRecordBatchStream {
-        todo!()
-    }
-}
-```
-
-Plus a usage example  of the `StorageClient`:
-
-```rust
-//! Example `main` function for the EE teams
-
-use testing_721::operators;
-use testing_721::operators::Operator;
-use testing_721::storage_client;
-
-#[tokio::main]
-async fn main() -> anyhow::Result<()> {
-    // Initialize a storage client
-    let sc = storage_client::StorageClient::new(42);
-
-    // Formualte a request we want to make to the storage client
-    let request = create_column_request();
-
-    // Request data from the storage client. Note that this request could fail
-    let stream = sc.request_data(request).await?;
-
-    // Theoretically, there could be a pipeline breaker somehwere that turns the asynchronous
-    // flow into a synchronous one, turning the Stream into an Iterator
-
-    // Executor node returns a future containing another stream that can be sent to another operator
-    let table_scan_node = operators::TableScan::new();
-    let result = table_scan_node.execute_with_stream(stream);
-
-    Ok(())
-}
-
-/// Just formulate a toy example of a request we could make to the `StorageClient`
-fn create_column_request() -> storage_client::BlobData {
-    let columns = vec!["grades".to_string(), "name".to_string(), "gpa".to_string()];
-    storage_client::BlobData::Columns("students".to_string(), columns.into_boxed_slice())
-}
-```
-
-
-Once the EE receives the stream, it has all the information it needs, and can start executing the physical plan from the bottom, pushing the output of operators to the next operator. This way, `tokio` does necessarily have to wait for multiple operators to finish before starting the next level's operator. The execution nodes themselves will be on their own dedicated threads (either `tokio` threads that call into `rayon`, but do not make any IO and `async` calls, or OS threads).
-
-The operator interface will probably end up being something similar to how DataFusion outputs data from their [`ExecutionPlan::execute()`](https://docs.rs/datafusion/latest/datafusion/physical_plan/trait.ExecutionPlan.html#tymethod.execute) method.
-
-After finishing execution, the EE can notify the scheduler that it has finished executing the query fragment, and it can send the data (in the form of Apache Arrow data) to wherever the scheduler needs it to be sent. This could be to another EE node, the Catalog, or even the Optimizer.
-
----
-
-### Implementation Details
-
-For our group, data between operators will also be sent and processed through Apache Arrow `RecordBatch` types. This is not how Velox does it, but it is how DataFusion does processing.
-
-It is likely that we will also need our own Buffer Pool Manager to manage in-memory data that needs to be spilled to disk in the case that the amount of data we need to handle grows too much. We may just take the [`memory_pool`](https://docs.rs/datafusion/latest/datafusion/execution/memory_pool/index.html) module out of Datafusion.
-
-
-
-# Design Rationale
-> Explain the goals of this design and how the design achieves these goals. Present alternatives considered and document why they are not chosen.
-
-We will be focusing on the robustness and modularity of our code to enable future extensibility. Given the inherent modular complexity of a database system, it is ideal to be able to easily switch parts of the system in and out without much developer overhead. By focusing design on an easy-to-use and expressive type system for the EE, future work can be done on optimization without having to rewrite a bunch of boilerplate or interfacing code.
-
-
-
-# Testing Plan
-> How should the component be tested?
-
-We will add unit testing and documentation testing to every function. Since it is quite difficult to create undefined behavior in Rust, testing will focus on logical correctness and performance.
-
-The integration test will be TPC-H, or something similar to TPC-H. This is a stretch goal.
-
-
-
-# Trade-offs and Potential Problems
-> Write down any conscious trade-off you made that can be problematic in the future, or any problems discovered during the design process that remain unaddressed (technical debts).
-
-
-- Push-based vs Pull-based
-
-
-
-# Glossary
-> If you are introducing new concepts or giving unintuitive names to components, write them down here.
-
-- "Vectorized execution" is the name given to the concept of outputting batches of data. But since there is a `Vec`tor type in Rust, we'll likely be calling everything Batches instead of Vectors.
-
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