Modify documents by comments

arrow-data-source/README.md

@@ -13,10 +13,10 @@ The development of this library is still in progress. As a result some of the fu
 There are some requirements before you build the project.
 Please make sure you have already installed the software in your system.
 
-1. gcc 9.3 or higher version
+1. GCC 7.0 or higher version
 2. java8 OpenJDK -> yum install java-1.8.0-openjdk
-3. cmake 3.2 or higher version
-4. maven 3.1.1 or higher version
+3. cmake 3.16 or higher version
+4. maven 3.6 or higher version
 5. Hadoop 2.7.5 or higher version
 6. Spark 3.0.0 or higher version
 7. Intel Optimized Arrow 3.0.0
@@ -31,7 +31,7 @@ Then you can just skip steps below and jump to [Get Started](#get-started).
 If you are facing some trouble when installing cmake, please follow below steps to install cmake.
 
 ```
-// installing cmake 3.2
+// installing cmake 3.16.1
 sudo yum install cmake3
 
 // If you have an existing cmake, you can use below command to set it as an option within alternatives command
@@ -117,7 +117,7 @@ You have to use a customized Arrow to support for our datasets Java API.
 
 ```
 // build arrow-cpp
-git clone -b <version> https://github.com/Intel-bigdata/arrow.git
+git clone -b arrow-3.0.0-oap-1.1 https://github.com/oap-project/arrow.git
 cd arrow/cpp
 mkdir build
 cd build

docs/ApacheArrowInstallation.md

@@ -27,10 +27,10 @@ make install
 Please make sure your cmake version is qualified based on the prerequisite.
 
 
-# Apache Arrow
+# Arrow
 ``` shell
 git clone https://github.com/oap-project/arrow.git
-cd arrow && git checkout <version>
+cd arrow && git checkout arrow-3.0.0-oap-1.1
 mkdir -p arrow/cpp/release-build
 cd arrow/cpp/release-build
 cmake -DARROW_DEPENDENCY_SOURCE=BUNDLED -DARROW_GANDIVA_JAVA=ON -DARROW_GANDIVA=ON -DARROW_PARQUET=ON -DARROW_CSV=ON -DARROW_HDFS=ON -DARROW_BOOST_USE_SHARED=ON -DARROW_JNI=ON -DARROW_DATASET=ON -DARROW_WITH_PROTOBUF=ON -DARROW_WITH_SNAPPY=ON -DARROW_WITH_LZ4=ON -DARROW_FILESYSTEM=ON -DARROW_JSON=ON ..

docs/OAP-Developer-Guide.md

@@ -26,7 +26,7 @@ We provide scripts to help automatically install dependencies required, please c
 
 Then the dependencies below will be installed:
 
-* [Cmake](https://help.directadmin.com/item.php?id=494)
+* [Cmake](https://cmake.org/install/)
 * [GCC > 7](https://gcc.gnu.org/wiki/InstallingGCC)
 * [Memkind](https://github.com/memkind/memkind/tree/v1.10.1)
 * [Vmemcache](https://github.com/pmem/vmemcache)

docs/OAP-Installation-Guide.md

@@ -20,7 +20,7 @@ $ wget -c https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh
 $ chmod +x Miniconda2-latest-Linux-x86_64.sh 
 $ bash Miniconda2-latest-Linux-x86_64.sh 
 ```
-For changes to take effect, ***close and re-open*** your current shell. 
+For changes to take effect, ***reload*** your current shell. 
 To test your installation,  run the command `conda list` in your terminal window. A list of installed packages appears if it has been installed correctly.
 
 ### Installing OAP
@@ -36,7 +36,7 @@ Once finished steps above, you have completed OAP dependencies installation and
 
 Dependencies below are required by OAP and all of them are included in OAP Conda package, they will be automatically installed in your cluster when you Conda install OAP. Ensure you have activated environment which you created in the previous steps.
 
-- [Arrow](https://github.com/Intel-bigdata/arrow)
+- [Arrow](https://github.com/oap-project/arrow/tree/arrow-3.0.0-oap-1.1)
 - [Plasma](http://arrow.apache.org/blog/2017/08/08/plasma-in-memory-object-store/)
 - [Memkind](https://anaconda.org/intel/memkind)
 - [Vmemcache](https://anaconda.org/intel/vmemcache)

docs/Prerequisite.md

@@ -3,24 +3,24 @@
 There are some requirements before you build the project.
 Please make sure you have already installed the software in your system.
 
-1. gcc 9.3 or higher version
+1. GCC 7.0 or higher version
 2. LLVM 7.0 or higher version
 3. java8 OpenJDK -> yum install java-1.8.0-openjdk
 4. cmake 3.16 or higher version
-5. maven 3.1.1 or higher version
+5. Maven 3.6.3 or higher version
 6. Hadoop 2.7.5 or higher version
 7. Spark 3.0.0 or higher version
 8. Intel Optimized Arrow 3.0.0
 
 ## gcc installation
 
-// installing gcc 9.3 or higher version
+// installing GCC 7.0 or higher version
 
-Please notes for better performance support, gcc 9.3 is a minimal requirement with Intel Microarchitecture such as SKYLAKE, CASCADELAKE, ICELAKE.
+Please notes for better performance support, GCC 7.0 is a minimal requirement with Intel Microarchitecture such as SKYLAKE, CASCADELAKE, ICELAKE.
 https://gcc.gnu.org/install/index.html
 
 Follow the above website to download gcc.
-C++ library may ask a certain version, if you are using gcc 9.3 the version would be libstdc++.so.6.0.28.
+C++ library may ask a certain version, if you are using GCC 7.0 the version would be libstdc++.so.6.0.28.
 You may have to launch ./contrib/download_prerequisites command to install all the prerequisites for gcc.
 If you are facing downloading issue in download_prerequisites command, you can try to change ftp to http.
 
@@ -43,7 +43,7 @@ export LD_LIBRARY_PATH=$YOUR_GCC_INSTALLATION_DIR/lib64:$LD_LIBRARY_PATH
 Please remember to add and source the setup in your environment files such as /etc/profile or /etc/bashrc
 
 //Verify if gcc has been installation
-Use gcc -v command to verify if your gcc version is correct.(Must larger than 9.3)
+Use `gcc -v` command to verify if your gcc version is correct.(Must larger than 7.0)
 
 ## LLVM 7.0 installation
 
@@ -76,7 +76,7 @@ make install
 If you are facing some trouble when installing cmake, please follow below steps to install cmake.
 
 ```
-// installing cmake 3.2
+// installing Cmake 3.16.1
 sudo yum install cmake3
 
 // If you have an existing cmake, you can use below command to set it as an option within alternatives command