Updated Documentation

Dockerfile

@@ -21,7 +21,6 @@ ENV IS_DOCKER_IMAGE=1 CXX=clang++-14
 # First run will build cache into image
 RUN cd AQuery2 && python3 prompt.py
 
-CMD cd AQuery2 && python3 prompt.py
-
-
+# CMD cd AQuery2 && python3 prompt.py
+CMD echo "Welcome. Type python3 prompt.py to start AQuery." && cd AQuery2 && bash
 

README.md

@@ -8,8 +8,9 @@ AQuery++ Database is a cross-platform, In-Memory Column-Store Database that inco
    - See installation instructions from [docker.com](https://www.docker.com). Run **docker desktop** to start docker engine.
    - In AQuery root directory, type `make docker` to build the docker image from scratch. 
    - For Arm-based Mac users, you would have to build and run the **x86_64** docker image because MonetDB doesn't offer official binaries for arm64 Linux. (Run `docker buildx build --platform=linux/amd64 -t aquery .` instead of `make docker`)
-   - Finally run the image in **interactive** mode (`docker run -it --rm aquery`)
-   - If there is a need to access the system shell, type `dbg` to activate python interpreter and type `os.system('sh')` to launch a shell.
+   - Finally run the image in **interactive** mode (`docker run -it aquery --name aquery`) 
+   - When you need to access the container again run `docker start -ai aquery` 
+   - If there is a need to access the system shell within AQuery, type `dbg` to activate python interpreter and type `os.system('sh')` to launch a shell.
 
 ## CIMS Computer Lab (Only for NYU affiliates who have access)
   1. Clone this git repo in CIMS.
@@ -39,16 +40,15 @@ AQuery++ Database is a cross-platform, In-Memory Column-Store Database that inco
 AQuery is tested on mainstream operating systems such as Windows, macOS and Linux
 
 ### Windows
-There're multiple options to run AQuery on Windows. You can use the native toolchain from Microsoft Visual Studio or gcc from Cygwin/MinGW or run it under Windows Subsystem for Linux.
+There're multiple options to run AQuery on Windows. But for better consistency I recommend using a simulated Linux environment such as **Windows Subsystem for Linux** (1 or 2), **Docker** or **Linux Virtual Machines**. You can also use the native toolchain from Microsoft Visual Studio or gcc from Winlabs/Cygwin/MinGW.
 
-- For WSL, Docker or Linux virtual machines, see Linux, Docker sections below
-- For Visual Studio (Recommended):
-1. Install python3.6 or above from [official website](https://www.python.org/downloads/windows/) or Microsoft Store.
-  2. Install Microsoft Visual Studio 2022 or later with **Desktop development with C++** selected.
-  3. Clone AQuery repo from [Github](https://github.com/sunyinqi0508/AQuery2)
-  4. Install python requirements with pip `python3 -m pip install -r requirements.txt`
-  5. Change the build_driver variable in aquery_config.py to "MSBuild"
-  6. The libraries and headers for Monetdb are already included in msc-plugins, however you can also choose to download them from [Monetdb Easy Setup](https://www.monetdb.org/easy-setup/) and put them in the same place.
+- Windows Subsystem for Linux (WSL, Recommended)
+  - Install WSL2 from [Microsoft Store](https://aka.ms/wslstore)
+  - Install Ubuntu 22.04 LTS from [Microsoft Store](https://apps.microsoft.com/store/detail/ubuntu-22041-lts/9PN20MSR04DW), you can use your favorite distro but make sure you know how to install MonetDB on it.
+  - Select Linux and then ubuntu in [MonetDB Easy Setup](https://www.monetdb.org/easy-setup/)
+  - Install Python 3.6 or above
+  - Install required packages in requirements.txt by `python3 -m pip install -r requirements.txt` 
+  - Run `python3 ./prompt.py` to start AQuery
 
 - For Winlibs (Recommended):
   - Download latest winlibs toolchain from the [official website](https://winlibs.com/)
@@ -56,6 +56,14 @@ There're multiple options to run AQuery on Windows. You can use the native toolc
   - Other steps can be either the same as Visual Studio or Cygwin/Mingw (below) without ABI break.
   - Copy or link `mingw64/libexec/gcc/<arch>/<version>/liblto-plugin.dll` to `mingw64/lib/bfd-plugins/` For Link time optimization support on gcc-ar and gcc-ranlib 
   
+- For Visual Studio: 
+1. Install python3.6 or above from [official website](https://www.python.org/downloads/windows/) or Microsoft Store.
+  1. Install Microsoft Visual Studio 2022 or later with **Desktop development with C++** selected.
+  2. Clone AQuery repo from [Github](https://github.com/sunyinqi0508/AQuery2)
+  3. Install python requirements with pip `python3 -m pip install -r requirements.txt`
+  4. Change the build_driver variable in aquery_config.py to "MSBuild"
+  5. The libraries and headers for Monetdb are already included in msc-plugins, however you can also choose to download them from [Monetdb Easy Setup](https://www.monetdb.org/easy-setup/) and put them in the same place.
+
 - For CygWin/MinGW:
    1. Install gcc and python3 using its **builtin package manager** instead of the one from python.org or windows store. (For Msys2, `pacman -S gcc python3`). Otherwise, ABI breakage may happen.
    2. Clone AQuery repo from Github

cims.sh

@@ -1,10 +1,10 @@
 #!/usr/bash
 echo  "Don't execute this script if it's not on CIMS servers."
-echo "run this script with source command. e.g. \`source ./cims.sh\` or \`. ./cims.sh\`"
-module load g++-11.2
+echo "run this script with source command. e.g. source ./cims.sh or . ./cims.sh"
+module load gcc-11.2
 PWD=`pwd`
 export LD_LIBRARY_PATH=$PWD/usr/lib64:$LD_LIBRARY_PATH:/lib:/lib64:/usr/lib:/usr/lib64
 export AQ_MONETDB_LIB=-L$PWD/usr/lib64
 export AQ_MONETDB_INC=-I$PWD/usr/include/monetdb/
 export CXX=g++-11.2
-export PCH=1 # Change to 0
+export PCH=1 

tests/dt.a

@@ -5,7 +5,6 @@ FUNCTIONS (
     fit() -> bool,
     predict() -> vecint
 );
-
 create table tb(x int);
 create table tb2(x double, y double, z double);
 insert into tb values (0);

tests/network.a

@@ -10,3 +10,4 @@ FROM	 network
 	     ASSUMING ASC src, ASC dst, ASC _time 
 GROUP BY src, dst, sums (deltas(_time) > 120)
 
+-- Assuming preserve order at the end.