Introduction
Background:
1. Large amount of data, content review, existing search resume index is slow; staff turnover, existing search is difficult to maintain
2. Front-end calls are complex; full table scan is used, search speed is slow; the results are There is no sorting; it is difficult to find the most accurate data as quickly as possible
Suggested optimization:
1. High-speed index creation
2. Avoid doing like operations on the database and reduce pressure
3. Sort the search results by weight
4. Front-end development is easy to call
5. It is best to have a low threshold, easy to master and maintain in the future
Installation
1. Install the lamp environment
If you have already installed it, skip this step.2. Download the required files
Note: If you use Ubuntu 10.10 (sphinxsearch), you can use apt-get install to install directly, you can skip this step (but Chinese word segmentation is not supported)
Coreseek Fulltext Server (source code): http://www.coreseek.cn/uploads/csft/3.1/Source/csft-3.1.tar.gz
Coreseek Mmseg (source code): http://www.coreseek.cn/uploads/csft/3.1/Source /mmseg-3.1.tar.gz
3. Tools must be installed
sudo apt-get install autoconf automake autotools-dev cpp curl gawk gcc lftp libc6-dev linux-libc-dev make libpcre3-dev libpcrecpp0 g++ libtool libncurses5-dev
sudo aptitude install libmysql++-dev libmysqlclient15-dev checkinstall
4. Install mmseg
sudo su
tar zxvf mmseg-3.1.tar.gz
mkdir /usr/local/mmseg
cd mmseg-3.1
./configure --prefix=/usr /local/mmseg
make
make install
5. Install sphinx
Note: If you use Ubuntu 10.10 (sphinxsearch), you can use sudo apt-get install sphinxsearch to quickly install (but Chinese word segmentation is not supported)
If not, use the following Command:
(If you are installing mysql manually below, please change --with-mysql to your corresponding mysql installation directory)
tar zxvf csft-3.1.tar.gz
mkdir /usr/local/coreseek
cd csft-3.1
./configure --prefix=/usr/local/coreseek --with-mysql --with-mmseg-includes=/usr/local/mmseg/include/mmseg --with-mmseg-libs=/usr/local/ mmseg/lib/
make clean
make
make install
6. Test
The installation is complete, the following is the test.
Note: If you use Ubuntu 10.10 (sphinxsearch), the following configuration file sphinx.conf.dist should be in /etc/sphinxsearch Directory
cd /usr/local/coreseek/etc
sudo cp sphinx.conf.dist sphinx.conf
sudo vim sphinx.conf (modification example is as follows)
mysql -uroot test Note: If you use Ubuntu 10.10 (sphinxsearch), below you can directly use the commands sudo indexer --all and sudo search test
sudo /usr/ local/coreseek/bin/indexer -c /usr/local/coreseek/etc/sphinx.conf --all
sudo /usr/local/coreseek/bin/search -c /usr/local/coreseek/etc/sphinx.conf test
sudo /usr/local/coreseek/bin/searchd -c /usr/local/coreseek/etc/sphinx.conf (start searchd process for sphinxapi call)
Note: If you use Ubuntu 10.10 (sphinxsearch ), the following parameters should be modified as follows:
path = /var/lib/sphinxsearch/data/idxbook1
log = /var/log/sphinxsearch/searchd.log
query_log = /var/log/sphinxsearch/query. log
pid_file = /var/run/searchd.pid
Also, the charset_dictpath and charset_table parameters will not be supported, that is, Chinese word segmentation will not be supported
The above introduces the introduction and installation of sphinx, including sphinx content. I hope it will be helpful to friends who are interested in PHP tutorials.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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