BLOB (Binary large object), binary large objects, is a container in which binary files can be stored. In the computer, a blob is often the type of field used in a database to store a binary file, a blob is a large file, a typical blob is a picture or a sound file, and because of their size, it must be handled in a spec
Use the big segment of the dream database to say something about the performance of a large segment of the database: In a database, you often need to use large segments of the type, such as in Oracle Long, blob, clob,sqlserver text, image,mysql text, Longtext, CLOB, blobs, a
choose to put the data in many machines, but they also bring a lot of problems for the stand-alone system.
Here are four large data storage and management database systems that occur during large data storage and management deve
difference between "large ticketing system" and "physical e-commerce system" in "inventory" calculationDifferences in access management between "large ticketing system" and "physical e-commerce system"Relationship and misunderstanding between "large ticketing system" and "physical e-commerce system" in relation to other departments of enterprisesThe impact of "
introduced by the characteristics of large ticketing system Big difference between "large ticketing system" and "physical e-commerce system" in "inventory" calculationDifferences in access management between "large ticketing system" and "physical e-commerce system"Relationship and misunderstanding between "large ticke
installation confluence's home directory ( ) and then select Restore , which is recommended for large XML files.
Note: If you choose not to reply to the data during the confluence installation process, you can import the data after the installation is successful. Go to the Administrator console of the confluence and select Restore from an XM
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Comparison of the characteristics of nine large data warehouse schemes
China Institute of Electronic Equipment Systems Engineering Wang Jiannu Lidompo
Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acqui
number of concurrent connections to run, the default is 1024, I set 256 here, according to the load of your server to set,-P is set to save the Memcache pid file, which I am here to save in/tmp/memcached.pid,
2 If you want to end the memcache process, execute:
# Kill ' Cat/tmp/memcached.pid '
The hash algorithm maps the binary value of any length to a smaller binary value of a fixed length, which is called a hash value. A hash value is a unique and extremely compact numeric representation of a
Oracle performance topics are very broad and there are many books on the market that specifically describe Oracle tuning. The pursuit of performance is endless, need long-term unremitting efforts, but to avoid the problem of performance is not difficult, can be said to be simple. From a simple and practical point of view, this paper gives several effective ways to improve the efficiency of Oracle processing data.
first, metabase initialization parame
Problem description
In the production database, the data of one table is 1 billion level, and that of the other table is 10 billion level. The data of other tables is also quite large. I didn't know that these tables had such a large amount of
In practice, the libdata1 file of the Zabbix-Server database MySQL is too large.
Today, the root space of our zabbix-server machine is insufficient. I found that the libdata1 file under/var/lib/mysql/is too large, which has reached 41 GB. I immediately thought about the reason for zabbix's database. Then Baidu and Goog
, if the key_reads is too large, it should be my.cnf in the key_buffer_size to become larger, keep key_reads/key_read_requests at least 1/100, the smaller the better.Second, if the qcache_lowmem_prunes is large, it is necessary to increase the value of query_cache_size.Many times we find that performance improvements through parameter settings may not be as qualitative a leap as many might imagine, unless t
high-performance distributed memory object cache system, do not use the database directly from the memory to tune data, which greatly improves the speed
Degrees, IIS or Apache enable gzip compression optimization website, compress website content greatly save website traffic.
Second, prohibit the external hotlinking.
External Web site pictures or file hotlinking often bring a lot of load pressure, so you s
-performance distributed memory object cache system, do not use the database directly from the memory to tune data, which greatly improves the speedDegrees, IIS or Apache enable gzip compression optimization website, compress website content greatly save website traffic.Second, prohibit the external hotlinking.External Web site pictures or file hotlinking often bring a lot of load pressure, so you should st
the partition, manually update the statistics.
If the statistical information is updated regularly after the table is loaded periodically, you can disable autostats for the table.
This is very important for optimizing queries that only need to read the latest data.
Updating the statistics of small dimension tables after incremental loading may also help improve performance. Use the FULLSCAN option to update statistics for dimension tables to obtai
Lob,large Objects is a type of data that is used to store large objects, and the general lob is divided into BLOBs and clob. BLOBs are typically used to store binary data, such as slices, audio, video, and so on. Clob are often used to store large texts, such as fiction.Ther
Reproduced Original: http://blog.csdn.net/zhangzhaokun/article/details/4711693
large-scale high concurrent high-load Web Application System Architecture-database schema Strategy
As Web sites grow in size from small to large, database access pressure is also increasing, the databa
directly use direct addr table for statistics.6. Database indexingScope of application:Big Data VolumeAdditions and deletions to change the searchThe basic principle and key points: using the data design realization method, to the large amount of data deletion and modificat
With the widespread popularization of Internet application, the storage and access of massive data has become the bottleneck problem of system design. For a large-scale Internet application, every day millions even hundreds of millions of PV undoubtedly caused a considerable load on the database. The stability and scalability of the system caused great problems.
enterprises to further explore and hands-on try to use.
Author Introduction:
Zhang June late
VMware Large Data Solution project Manager
Currently responsible for the management and marketing of VMware large data solutions. Vfabricdata Director product Manager for VMware databa
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