Mamp Elasticsearch

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Mamp elasticsearch plugin

MAMP is a free distribution package that makes it easy to install Apache Web Server, PHP, and MySQL. Before installing MAMP, you should turn off any other web servers and instances of MySQL you have running on your Windows machine.

  1. Download the latest version of MAMP:
  2. Run the downloaded file (e.g., MAMP_MAMP_PRO_4.1.exe) and click through the installation wizard.
    1. If prompted, you do not need to install MAMP PRO or Apple Bonjour.
    2. Accept the License Agreement.
    3. Leave the default for the installation directory (C:MAMP).
    4. Leave the default for the Start Menu folder (MAMP).
    5. Close the wizard when setup is finished.

Running MAMP on Windows

Careful!

Be very careful to follow these steps exactly. MAMP can be finicky. If something goes wrong, often the easiest thing to do is uninstall MAMP and start the process over again.

How to install WordPress on Windows using XAMPP? Part-1 - April 8, 2021; How to merge two or multiple tables to each other in the Laravel PHP Framework? (Part-1) - September 7, 2020. Now when I run my script myelastic.py: import sys print sys.path from elasticsearch import Elasticsearch es = Elasticsearch I have this: '/Users/tati/Desktop/python', '/Applications/MAMP/Library/lib/python27.zip', '/Applications/MAMP/Library/lib/python2.7', '/Applications/MAMP/Library/lib/python2.7/plat-darwin'. I am new to PHP and CakePHP. I am finding problems while wiring my database using CakePHP. Below is my application configuration. I am on Bitnami WAMP stack 5.4.40-0. I am using CakePHP 3.0.4 to. Port Forward elasticsearch Kubernetes Service. Since Kubernetes v1.10, the command kubectl port-forward “allows using resource name, such as a service name, to select a matching pod to port forward to.” kubectl port-forward also works with deployments, daemon sets, replica sets and so on.

To run MAMP...

  1. Navigate to C:MAMP in Windows Explorer and open MAMP.exe. If you get a security alert, allow access. You should see a window like this one: The servers (Apache Server and MySQL Server) should have automatically started. If they did not, start them by clicking on Start Servers.
  2. Open MAMP Preferences:
  3. Change the Apache port to 8888:
  4. Click on Open WebStart Page: The following page should open in your browser:
Mamp

Class Files

  1. After downloading the class files, create a folder in C:MAMPhtdocs named 'Webucator' and extract your class files in that folder:
  2. Rename the ClassFiles folder to php:
  3. To test that your setup so far is correct, open your browser and navigate to http://localhost:8888/Webucator/php/. You should get a listing like this:
  4. Click PHPBasics, then click Demos, and then hello-world.php. You should get a page that looks like this:

Setting the MySQL Password

The PHP files use 'pwdpwd' for the MySQL root password, while the default password used in MAMP is 'root'. In your browser, navigate to http://localhost:8888/phpMyAdmin/.

Note: It is important to do these steps in the order specified.

  1. Click the mysql database on the left.
  2. Click the SQL tab at the top.
  3. Enter the following in the textbox under Run SQL query/queries on database mysql:
  4. Click Go.
  5. You also need to update the password in C:MAMPbinphpMyAdminconfig.inc.php. Open the file in your editor (e.g., Visual Studio Code) and change the password setting as show below to 'pwdpwd'.

Installing the poetree Database

Use phpMyAdmin to install the poetree database used in class.

  1. Click on the Import tab heading
  2. Click the Choose File button.
  3. Browse to the poetree-db.sql file in your class files (C:MAMPWebucatorphppoetree-dbsql).
  4. Click Open:
  5. Click the Go button on the bottom left of the page.
  6. You should get a Success message and poetree should be added to your list of Databases.

One Final Test

Point your browser to http://localhost:8888/Webucator/php/Database/Solutions/phppoetry.com/. If you see a page like this, you're all set:

And that's it

Happy MAMPing!

Mamp

Recommended Code Editor

Visual Studio Code (Download, Install, and Set up VS Code)

While you may use a different editor or IDE, Visual Studio Code is an excellent IDE to learn to code on. It provides a nice balance of power and simplicity and it is available on Windows and Mac.

「Kibana」基本情報

■概要

Kibana(キバナ)とは、全文検索エンジン「Elasticsearch」と連携して使用するデータ解析/可視化プラットフォームです。

■基本説明

Kibanaはデータ分析および検索ダッシュボードで、全文検索エンジン「Elasticsearch」用のオープンソースのデータ視覚化プラグインとして機能します。

Kibanaを使用すると、Elasticsearchに格納されているデータについて「検索」「表示」「高度なデータ分析」「時間軸分析」などを簡単に実行できます。さまざまな「チャート」「表」「マップ」などでデータを視覚化して分かりやすくグラフィカル表示できます。

Kibanaは、「使いやすいインターフェース」「カスタマイズ可能なダッシュボード」「柔軟なクエリ機能」「必要な情報へのアクセス性」「ドリルダウン機能」「高速フィルタリング」「集計機能」「グラフィカル表示」などの点で高く評価されています。

Mamp Elasticsearch Service

■オフィシャルサイト情報

オフィシャルサイト
ライセンス情報

Kibanaのライセンスは「Apache License」です。

詳細について、こちらを参照ください。
→GitHub　→elastic/kibana　→LICENSE.txt

Map Elasticsearch Index Python

ダウンロード

Mamp Elasticsearch Vs

Kibanaは「Linux」「Windows」「macOS」などで利用でき、Docker版も提供されています。

導入事例

■同様製品

同様な機能を提供する製品として、次のようなものがあります。

Mamp Elasticsearch 2

オープンソース製品：「Metabase」「Re:dash」など。