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How to optimize the performance of DedeCms V5.5

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藏色散人Original
2019-12-23 10:31:332280browse

How to optimize the performance of DedeCms V5.5

How to optimize the performance of DedeCms V5.5?

After the release of dedecms V5.5, compared with previous versions, it performed more perfectly in all aspects. However, due to versatility, it was impossible to meet the needs of all users at the same time. In the past, it was not possible to meet the needs of all users at the same time. Few people have expressed doubts about the performance issues of DedeCms, so I publish an article here on how to optimize performance and provide the final optimization effect test results.

Recommended learning: Dreamweavercms

1. Modify system parameters

In DedeCms V5.5, the main ones related to the performance of generating HTML are as follows Several parameters:

1. Core settings:

Keyword replacement (yes/no) using this function will affect the HTML generation speed (cfg_keyword_replace)

This parameter defaults to If it is enabled, it is recommended that users whose articles are collected should not enable this option, because the collected articles must involve automatic generation of keywords, so many keywords are meaningless, and may even cause garbled characters to interrupt the generation, so it is recommended to turn this parameter off. .

2. Performance options:

Call cache update time (seconds, 0 means not enabled): 10000 cfg_index_cache

Whether to enable template caching: Yes cfg_tplcache

These two parameters are quite meaningful. In DedeCms, the tag that most affects performance is the arclist tag. In addition, it is also very important whether the template cache is turned on. These two options deal with these problems.

The system parameters are specifically recommended to be modified as shown below:

How to optimize the performance of DedeCms V5.5

2. Optimize the database

1. dede_archives

This table There are four sets of indexes: PRIMARY, sortrank, mainindex, and lastpost. In fact, because the table itself is relatively small, it is not necessary to set too many indexes. Since the programs in dedecms use the sortrank field to sort by default, it is recommended Keep the two indexes PRIMARY and sortrank, and delete mainindex and lastpost. The specific operations are as follows:

How to optimize the performance of DedeCms V5.5

2, dede_arctiny

This table is quite small, during testing Among them, 70,000 data, this table only occupies about 1.5M. It is actually quite small, so there is no need to create an index, so delete the following index:

How to optimize the performance of DedeCms V5.5

After the above After optimization, it was tested with educational articles with about 70,000 data (the database is about 800M), and tested in a Pentium E, 2G memory, and ordinary SATA hard disk environment. The generation speed is as follows:

How to optimize the performance of DedeCms V5.5

Because the speed of DedeCms generation mechanism is similar before and after, the speed is stable at about 15 articles per second. Of course, this number has a certain relationship with the number of user template tag calls, but at this speed, it can reach more than 50,000 articles per hour. , this is still quite ideal.

Many webmasters may ask, why not test millions or tens of millions of data?

In fact, based on this amount of data, if it reaches one million, the database will reach 10G, and the database will reach 100G if it is tens of millions. Like some CMS boasts that it has passed tens of millions of tests, so let Let them brag about it. What is the concept of 100G data, plus pictures, and the generated HTML? Is it something that ordinary hard drives and Pentium E machines can do? Therefore, it is more representative to test with 100,000-level data. For those who are really doing regular websites, and they will indeed become very big in the future, there should be no problem in upgrading the hardware. In addition, of course it is not possible for users under virtual hosts. This speed has been reached, but this can be used as a reference basis for performance optimization

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