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new 6fbc7d8 # update README.md (#1806)
6fbc7d8 is described below
commit 6fbc7d8ffc435462aa4f0a31ca8fe7a950698219
Author: Tengting Xu <34978943+muk...@users.noreply.github.com>
AuthorDate: Fri Jan 28 16:28:48 2022 +0800
# update README.md (#1806)
* # update README.md
* # minor fix
---
README.md | 102 ++++++++++++++------------------------------------
images/sketch.png | Bin 0 -> 97308 bytes
images/structure.png | Bin 79664 -> 166980 bytes
readme/quick_start.md | 70 ++++++++++++++++++++++++++++++++++
4 files changed, 98 insertions(+), 74 deletions(-)
diff --git a/README.md b/README.md
index 5a87e3e..c400a83 100644
--- a/README.md
+++ b/README.md
@@ -1,98 +1,52 @@
-# How to deploy a Kylin4 Cluster on EC2
+# Welcome To Kylin 4 On Cloud Deployment Solution !
-## Target
+**Apache Kylin community** released Kylin 4.0 with a new architecture, which
dedicated to building a high-performance and low-cost OLAP engine. The
architecture of Kylin 4.0 supports the separation of storage and computing,
which enables Kylin users to run Kylin 4.0 by adopting a more flexible and
elastically scalable cloud deployment method.
-1. Deploy Kylin4 on Ec2 with Spark Standalone mode in `10` minutes.
+For the best practices of Kylin4 on the cloud, **Apache Kylin community**
contribute a **tool** to deploy kylin4 clusters on **AWS** cloud easily and
conveniently.
+
+# Introduction About This Tool
+
+## Features
+
+1. Deploy a Kylin4 cluster on Ec2 with Spark Standalone mode in `10` minutes.
2. Support to scale nodes (Kylin & Spark Worker) quickly and conveniently.
3. Improve performance for query of Kylin4 in using `Local Cache + Soft
Affinity` feature (`Experimental Feature`), please check the
[details](https://kylin.apache.org/blog/2021/10/21/Local-Cache-and-Soft-Affinity-Scheduling/).
4. Support to monitor status of cluster with `prometheus server` and
`granfana`.
## Architecture
-When cluster created, services and nodes will like below:
+When cluster(s) created, services and nodes will like below:
-
+
-- Services are created as the number order from 1 to 4.
+- **Every stack module means related services will be controlled by a stack.**
+- **Read-write separated cluster will be easy created as same as image of
architecture above.**
+- Services are created as the number order from 1 to 5.
- Every machine node is presented by a white box.
-- `Kylin Node` and `Spark Worker` Node can be scaled.
-- Whole cluster will has only one RDS and only one the machine node which
contains `Prometheus Server` and `Hive MetaStore` service.
+- `Kylin Node` and `Spark Worker` Node can be easy to scale.
+- Whole clusters will have only one RDS and only one machine node which
contains `Prometheus Server` and `Hive MetaStore` service.
+
+
## Quick Start
-1. Initialize aws account credential on local machine, please check
[details](./readme/prerequisites.md#localaws).
-
-2. Download the source code:
-
- ```shell
- git clone https://github.com/apache/kylin.git && cd kylin && git checkout
kylin4_on_cloud
- ```
-
-3. Modify the `kylin_config.yml`.
-
- 1. Set the `AWS_REGION`.
-
- 2. Set the `IAMRole`,please check [details](./readme/prerequisites.md#IAM).
-
- 3. Set the `S3_URI`, please check [details](./readme/prerequisites.md#S3).
-
- 4. Set the `KeyName`,please check
[details](./readme/prerequisites.md#keypair).
-
- 5. Set the `CIDR_IP`, make sure that the `CIDR_IP` match the pattern
`xxx.xxx.xxx.xxx/16[|24|32]`.
-
- > Note:
- >
- > 1. this `CIDR_IP` is the specified IPv4 or IPv6 CIDR address range
which an inbound rule can permit instances to receive traffic from.
- >
- > 2. In one word, it will let your mac which ip is in the `CIDR_IP` to
access instances.
-
-4. Init local env.
-
-```shell
-$ bin/init.sh
-```
-
-> Note: Following the information into a python virtual env and get the help
messages.
-
-5. Execute commands to deploy a `default` cluster, please check
[details](./readme/prerequisites.md#cluster).
-
-```shell
-$ python deploy.py --type deploy
-```
-
-After `default` cluster is ready, you will see the message `Kylin Cluster
already start successfully.` in the console.
-
-6. Execute commands to list nodes of cluster.
-
-```shell
-$ python deploy.py --type list
-```
-
-Then you can check the `public ip` of Kylin Node.
-
-You can access `Kylin` web by `http://{kylin public ip}:7070/kylin`.
-
-
-
-7. Destroy the `default` cluster.
-
-```shell
-$ python deploy.py --type destroy
-```
+- Details about **`quick start`** of tool, please referer to [quick
start](./readme/quick_start.md).
+- Details about **`quick start for mutilple clusters`** of tool, please
referer to [quick start for mutilple
clusters](./readme/quick_start_for_multiple_clusters.md).
+
+
## Notes
-1. More details about `quick start for mutilple clusters`, see document [quick
start for mutilple clusters](./readme/quick_start_for_multiple_clusters.md)
1. More details about `commands` of tool, see document
[commands](./readme/commands.md).
2. More details about `prerequisites` of tool, see document
[prerequisites](./readme/prerequisites.md).
3. More details about `advanced configs` of tool, see document [advanced
configs](./readme/advanced_configs.md).
4. More details about `monitor services` supported by tool, see document
[monitor](./readme/monitor.md).
-5. Current tool already open the port for some services. You can access the
service by `public ip` of related EC2 instance.
- 1. `SSH`: 22
- 2. `Granfana`: 3000
- 3. `Prmetheus`: 9090, 9100
- 4. `Kylin`: 7070
- 5. `Spark`: 8080. 4040.
+5. Current tool already open the public port for some services. You can access
the service by `public ip` of related EC2 instance.
+ 1. `SSH`: 22.
+ 2. `Granfana`: 3000.
+ 3. `Prmetheus`: 9090, 9100.
+ 4. `Kylin`: 7070.
+ 5. `Spark`: 8080, 4040.
6. More about cloudformation syntax, please check [aws
website](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/Welcome.html).
7. Current Kylin version is 4.0.0.
8. Current Spark version is 3.1.1.
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+## Architecture In Quick Start
+
+
+
+## Quick Start
+
+1. Initialize aws account credential on local machine, please check
[details](./prerequisites.md#localaws).
+
+2. Download the source code:
+
+ ```shell
+ git clone https://github.com/apache/kylin.git && cd kylin && git checkout
kylin4_on_cloud
+ ```
+
+3. Modify the `kylin_config.yml`.
+
+ 1. Set the `AWS_REGION`.
+
+ 2. Set the `IAMRole`,please check [details](./prerequisites.md#IAM).
+
+ 3. Set the `S3_URI`, please check [details](./prerequisites.md#S3).
+
+ 4. Set the `KeyName`,please check [details](./prerequisites.md#keypair).
+
+ 5. Set the `CIDR_IP`, make sure that the `CIDR_IP` match the pattern
`xxx.xxx.xxx.xxx/16[|24|32]`.
+
+ > Note:
+ >
+ > 1. this `CIDR_IP` is the specified IPv4 or IPv6 CIDR address range
which an inbound rule can permit instances to receive traffic from.
+ >
+ > 2. In one word, it will let your mac which ip is in the `CIDR_IP` to
access instances.
+
+4. Init local env.
+
+```shell
+$ bin/init.sh
+```
+
+> Note: Following the information into a python virtual env and get the help
messages.
+
+5. Execute commands to deploy a `default` cluster, please check
[details](./prerequisites.md#cluster).
+
+```shell
+$ python deploy.py --type deploy
+```
+
+After `default` cluster is ready, you will see the message `Kylin Cluster
already start successfully.` in the console.
+
+6. Execute commands to list nodes of cluster.
+
+```shell
+$ python deploy.py --type list
+```
+
+Then you can check the `public ip` of Kylin Node.
+
+You can access `Kylin` web by `http://{kylin public ip}:7070/kylin`.
+
+
+
+7. Destroy the `default` cluster.
+
+```shell
+$ python deploy.py --type destroy
+```
+
+
+
+> Note: If you want to check about quick start for multiple clusters, please
referer to [quick start for mutilple
clusters](./quick_start_for_multiple_clusters.md).
+
