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This article is composed of ImportNew This article is translated from apmblog.compuware.com by ImportNew-Tang youhua. To reprint this article, please refer to the reprinting requirements at the end of the article. In recent weeks, my colleagues and I attended the Hadoop and Cassandra Summit Forum in the San Francisco Bay Area. It is a pleasure to have such intensive discussions with many experienced big data experts. Thanks This article is translat
To analyze the performance of inserting massive data into the Cassandra Cluster or Oracle, that is, the insertion rate, we sampled the inserted data using a Java program, and finally plotted the sample results with Jfreechart. For the sake of fairness, we did the following: 1. All the loop variables are placed outside the loop 2. For Cassandra, the Replication
PostgreSQL tutorial (10): Performance Improvement tips and postgresql Performance Improvement 1. Use EXPLAIN: PostgreSQL generates a query plan for each query, because selecting the correct query path has a critical impact on performance
Five tips for Instagram to improve PostgreSQL performance, postgresql Performance Optimization As Instagram grows, Postgres continues to serve as a solid foundation for Instagram and stores a vast majority of user data. Less than a year ago, we also wrote on our blog that Instagram "stores a large amount of data" and a
In the relational database area, PostgreSQL is a very popular open source database software. Since its release in 1996, it has accumulated nearly 20 years of practical experience, both in PostgreSQL itself and in community ecology. Not only small and medium-sized enterprises, many large industry customers will also use PostgreSQL to build their own database syste
1, Testing purpose By running the standard test program TPC-B and TPC-C, determine the performance differences between different parameters and different versions (8.2.14 vs 8.4.2, it provides reference for parameter configuration and version selection of PostgreSQL databases on ECOP cm. The test platform is: Hardware configuration: CPU e4600 dual-core 2.4g 2g RAM 160g SATA * 2 Operating System: Ubuntu 9.10
Use local indexes to improve PostgreSQL Performance You may not know that PostgreSQL supports partial indexing of table data? Its advantage is that it can accelerate the reading speed of the indexed data without additional overhead. the best way is to index the data that is read repeatedly based on the given WHERE clause. this is suitable for some specific analys
, supports C/C + + or any compatible language, and starts with the 5.7.3 version to support full-text search, PostgreSQL has a similar system but supports more languages, including C + +, Java,. Net, Perl, Python, Ruby, TCL, ODBC, and so on, it can even run user-supplied code in a separate process; In addition to the general information about databases, tables, and columns contained in all relational databases, the
The amount of data will be huge in the future/you cannot predict the size of the data. We recommend that you change to PostgreSQL. After a certain amount of data is stored in MySQL (generally, the performance of a single MySQL table is the best-, and the performance starts to decline when there are more data), the performance
3051 millisecondspostgresql:4060579 Records Add indexSelect region_id, Avg ((data-> ' F1 '):: integer) from Fact_data_hstoreGROUP BY region_idResult set: Returns 9 Records, 2 fields, time-consuming millisecondsIndexes have no effect on the performance of this SQL statement.2.2 Test results (eight fields 4 million records)sqlserver:4060579 RecordsSelect Region_id,avg (F1) as AF1From Fact_dataGROUP BY region_idResult set: Returns 9 Records, 2 fields,
records from a query result;Prepared Query );Use analyze to maintain accurate optimization statistics;Regular use of vacuum or pg_autovacuumDelete the index (then re-create the index) When making a large amount of data changes)2. Procedural experienceCheck whether the connection pool is used. If not, use it as soon as possible;Check the program again. After the connection is used, check whether the connection pool is returned;3. Server parameter configurationMany configurations in the configura
Tags: size arrangement SDN Technology share ext ODBC. NET Analysis tool downPostgreSQL Hardware Performance Tuning Translated from the article "PostgreSQL Hardware performance Tuning" PostgreSQL is an object-relational database developed by developers all over the world on the Internet. She is an open so
PostgreSQL Performance Optimization considerations caused by connection to IPVs that consumes cpu resources in particular. bitsCN.com Because it is in the development stage, the postgres parameter is not configured, and the default configuration during installation is used,In the past, nothing was abnormal, but my cpu usage suddenly increased a few days ago.Check the process and find that the CPU usage of o
1. Use explain: PostgreSQL generates a query plan for each query, because selecting the correct query path has a critical impact on performance. PostgreSQL itself contains a scheduler for optimal planning. We can use the explain command to view the scheduler's query plan generated for each query.The query plan generated by P
First, the use of explain: PostgreSQL generates a query plan for each query because the performance impact of selecting the correct query path is critical. PostgreSQL itself already contains a planner for finding the optimal plan, and we can view the query plan generated by the planner for each query by using the explain command.The query plan generated in
statements to reduce the cost of committing a transaction;Use cluster when extracting multiple records from an index;Use limit when extracting part of a record from a query result;Use pre-compiled queries (Prepared query);Use analyze to maintain accurate optimization statistics;Regular use of VACUUM or pg_autovacuumDelete indexes first when making large amounts of data changes (then rebuilding indexes)2, program ExperienceCheck the program, whether the use of connection pool, if not used, as so
Tips for improving PostgreSQL Performance In a (poor) PostgreSQL query, only a small change is required (ANY (ARRAY [...]). to ANY (VALUES (...))) the query time can be reduced from 20 s to 0.2 s. From the simplest use of explain analyze, to the use of EXPLAIN s community, there will be a hundred times of learning time investment to return. Use ipvs to monitor sl
PostgreSQL provides some functions to help improve performance. There are several main aspects. 1. Use the explain command to view the execution plan. In the previous blog PostgreSQL provides some functions to help improve performance. There are several main aspects. 1. Run the EXPLAIN command to view the execution pla
PostgreSQL supports hstore to store data such as Key->value, which is in fact similar to array or JSON type. Efficient indexing is essential to the efficient use of this type of data. Let's take a look at the performance issues of two different types of indexes for the same retrieval request today.If we had such an original table. There is a Btree index based on the Str1 field.t_girl=# \d Status_check;
1. Use EXPLAIN:PostgreSQL generates a query plan for each query, because selecting the correct query path has a critical impact on performance. PostgreSQL itself contains a scheduler for optimal planning. We can use the EXPLAIN command to view the scheduler's query plan generated for each query.The query plan generated by PostgreSQL is a planning tree consisting
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