elasticsearch query performance tuning

the performance of ES. At the same time, assuming that the machine 1 has a routing attribute a document, Machine 2 has a routing attribute B document, then I in the query when the target route attribute is a, even if the machine 2 failure paralysis, the machine 1 structure is not a great influence, so do the query under the disaster situation also proposed a sol

statements. Using adbc in the abap environment is similar to using JDBC in the Java environment. The reports and transactions they write can use any available interface to access the database. Use DB2 parameters in SAP Open SQL SAP supports a batch of DB2 parameters that can be added to Open SQL statements to affect how natural SQL statements generated from Open SQL are compiled and run at the database layer. Customers can use these DB2 parameters in their own reports and transactions to improv

[Elasticsearch] adjacent match (3)-performance, associated word query and ShinglesImprove Performance Phrase and closeness queries are more expensive than simple match queries. The match query only checks whether the entry exists in the Inverted Index, while the match_phrase

would recommend adjusting your index design to create an overlay index to ensure the stability of the plan. But forcing a specific execution plan is just a temporary fix-you still have to fix the root cause of your problem. Summary Don't get me wrong: query storage in SQL Server 2016 is a great feature that will help you understand planned regression more easily. It will also help you "temporarily" enforce a specific execution plan. But the goal of

, where sending data accounts for 99% of the time. Still more than the initial page load time. Finally, instead of innerjoin the table with the select method to remove the relevant data, leftjoin the table data, by looping the select result set, the data is obtained separately. After the modified development environment page load time is 0.2~0.3s, the server environment is 0.4~0.5s. Although not ideal, performance is acceptable for small systems withi

very important point: when unsure which type of join to use, let the MySQL optimizer automatically judge, we only need to write select * from t1,t2 where T1.field = T2.fieldThe 10.7 using where WHERE clause is used to restrict which row matches the next table or send to the customer. Unless you specifically request or check all rows from a table, the query may have some errors if the extra value is not a using where and the table join type is all or

Query performance tuning is a big topic, where the technology involved is very broad, but we can generally divide it into the following levels: 1. Reduce data access. The related technique is to create an appropriate index that converts time-consuming operations such as full table scans, index scans (scan), to index lookups (seek). Establish the correct index, ca

number smaller than their own, the right to put bigger than their own dataFeatures: Fast Range search Speed3. Create an index:Normal index:CREATE INDEX name on ... Table of: ColumnCREATE INDEX Zhanggen on day61. ' User ' (email);Unique index:Create unique index index name on table name (column name)Drop unique index index name on table nameCombined index (leftmost prefix match):Create unique index index name on table name (column name, column name)Drop unique index index name on table nameCreat

How toElasticsearch provides a very simple out-of-the-box experience by default. Users can directly use full-text search, result highlighting, aggregation, and indexing functions without modifying any configuration.But to use high-performance elasticsearch in a project, there are several ways to optimize it.This article is to guide how to optimize.General recommendations do not return too many search result

"data_type = "List"Key = "Logstash:redis"}}Agent StartupJava-jar Logstash-1.1.0-monolithic.jar agent-f shipper.conf 3.3.4 Kibana ConfigurationFirst add site configuration in Nginxserver {Listen 80;server_name logstash.test.com;Index index.php;root/usr/local/nginx/html;#charset Koi8-r;#access_log Logs/host.access.log Main;Location ~. *\. (PHP|PHP5) ${#fastcgi_pass Unix:/tmp/php-cgi.sock;Fastcgi_pass 127.0.0.1:9000;Fastcgi_index index.php;Include fastcgi.conf;}}4

Document directory 4. Performance Tuning The purpose of this platform is to facilitate log query During O M and R D. Kibana is a free web shell. logstash integrates various log collection plug-ins and is also an excellent regular-cut log tool. elasticsearch is an open-source search engine framework (supporting c

Need for Performance Tuning In this world of SAP programming, ABAP is the universal language. in most of the projects, the focus is on getting a team of ABAP programmers as soon as possible, handing over the technical specifications to them and asking them to church n out of the ABAP programs within the "given deadlines ". Often due to this pressure of schedules and deliveries, the main focus of m

Kibana + Logstash + Elasticsearch Log Query System, kibanalogash. Kibana + Logstash + Elasticsearch log query system. kibanalostash builds the platform to facilitate log query during O M and R D. Kibana is a free web shell; Kibana + Logstash +

I will share 11 practical tips on Java performance tuning and java Tuning Most developers think that performance optimization is a complicated problem and requires a lot of experience and knowledge. Yes, it is not wrong. It is not easy to optimize the application to achieve the best

Kibana + Logstash + Elasticsearch log query system, kibanalostash The purpose of this platform is to facilitate log query During O M and R D. Kibana is a free web shell. Logstash integrates various log collection plug-ins and is also an excellent regular-cut log tool. Elasticsearch is an open-source search engine fra

Label:Objective About SQL Server Tuning series is a huge content system, not a word two words can be analyzed clearly, this article first in the SQL tuning in the most commonly used query plan to parse, to do a good job of the basic grasp, tamping basic skills! Then we talk about the overall statement tuning. Learn how

increase the simultaneous processing capacity Determine earnings Determine cost Monitoring tasks with common bottlenecks Monitor memory usage Monitor thread and CPU usage Monitor hard disk I/O Monitor low-performance queries Monitor stored procedures, SQL, and user activities Monitor current locks and user interactions Create a performance tuning