sonos indexing

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Sum optimization and indexing in mysql

Sum optimization and indexing in mysql // Create table if not exists 'radacct '('radacctid' bigint (21) not null AUTO_INCREMENT, 'username' varchar (64) not null default '', 'acctsessiontime' int (12) default null, 'acctinputoctets 'bigint (12) default null, 'acctoutputoctets' bigint (12) default null ,......... primary key ('radacctid'), KEY 'username' ('Username'), KEY 'acctsessiontime' ('acctsessiontime'), KEY 'acctinputoctets '('acctinputoctets ')

Re-indexing PHP array after rejecting elements

PHP array after deleting elements and re-indexing

MySQL does not support Chinese full-text indexing, how do you solve full-text search in the building site

MySQL does not support Chinese full-text indexing, how do you solve the full-text search in the construction station?

Learning Lucene step by step -- (Step 3: indexing)

analysis interfaces to support Chinese characters. Because fuzzy query is performed and the matching is inaccurate, irrelevant information or missing information may be found. Matching degree There is a matching degree algorithm, and the results with a higher degree of matching are ranked first No matching algorithm. The number of times a keyword appears in the record is the same. Result output A special algorithm is used to output the first 100 results with the hi

ElasticSearch indexing with an IK word breaker (Java API)

"). EndObject (). StartObject ("Poi_lat"). Field ("Type", "text"). EndObject (). EndObject (). EndObject (); //pois: Index name Cxyword: type name (you can define it yourself) Putmappingrequest Putmap= Requests.putmappingrequest ("POIs"). Type ("Cxyword"). Source (mapping); //Create an indexClient.admin (). Indices (). Preparecreate ("POIs"). Execute (). Actionget (); //to add a map to an indexclient.admin (). Indices (). putmapping (Putmap). Actionget ();This time the index is create

"Elasticsearch problem 1" When indexing the report mapper_parsing_exception

Error log:Online write Elasticsearch also have a lot of articles, are written very good, now want to write the error log and solution, I hope some small partners can avoid some problems as soon as possible, spend time on some useful things.错误日志{"error": {"root_cause": [{"type": "mapper_parsing_exception","reason": "analyzer on field [word] must be set when search_analyzer is set"}],"type": "mapper_parsing_exception","reason": "Failed to parse mapping [doc]: analyzer on field [word] must be set w

Analysis of several scenarios where MySQL indexing will fail

Tags: mysql index failed MySQL indexIn the process of doing the project, will inevitably encounter clearly to MySQL set up an index, but the query is still very slow situation, the following we will be specific analysis of the reasons for this situation and solutions:Indexes do not always take effect, such as the following, which will invalidate the index:1. If there is an or in the condition, it will not be used even if there is a conditional index (which is why the use of or is minimized)Note:

Python version of Google S2 spatial indexing algorithm

Reference Https://en.wikipedia.org/wiki/Hilbert_curveHilbert_map = {' A ': {(0, 0): (0, ' d '), (0, 1): (1, ' a '), (1, 0): (3, ' B '), (1, 1): (2, ' A ')}, ' B ': {(0, 0): (2, ' B ') ), (0, 1): (1, ' B '), (1, 0): (3, ' a '), (1, 1): (0, ' C ')}, ' C ': {(0, 0): (2, ' C '), (0, 1): (3, ' d '), (, 1): (0, ' C '), ( 1, 1): (0, ' B ')}, ' d ': {(0, 0): (0, ' a '), (0, 1): (3, ' C '), (1, 0): (1, ' d '), (, 1): (1, ' d ')},}un_hilbert_map = { ' A ': {0: (0, 0, ' d '), 1: (0, 1, ' a '), 3: (1, 0,

The issue of indexing failures in the logging database

example: SELECT * from Softwaredetailinfo where softuseline like '%oqc% '. However, some examples on the internet say that the like ' xx% ' index works. I haven't tried. 3. Determine if the index column is not equal to a value. '! = ' operator. Example: SELECT * from Softwaredetailinfo where softuseline! = 0 4. Perform an operation on the indexed column. The operations here include +-*/and other operations. Also includes the use of functions. Like what: SELECT * from Softwaredetailinfo where

Oracle Indexing Principle

the middle meet the query requirements, no More page by page. Non-clustered index Non-clustered indexes are like the radicals in a dictionary, the Stroke Index, the Index organization order and the data organization order are inconsistent, so the non-clustered index can create more than one. When finding a single piece of data, the efficiency of non-clustered and clustered indexes is not very significant, but when searching for a batch of data (n), the IO required for a noncluste

Tips for optimizing SQL Server indexing

There are several tools in SQL Server that allow you to detect, tune, and optimize SQL Server performance. In this article, I'll show you how to use SQL Server's tools to optimize the usage of database indexes, and this article also involves general knowledge about indexes. Common Sense About indexing The biggest factor that affects database performance is the index. Because of the complexity of the problem, I can only talk about it briefly, but the

Nhibernate.search: Full-text indexing based on lucene.net

Nhibernate.search is now a project that has not yet been released under Nhiberante Contrilb, and has been transplanted from Hibernate.search, combining NHibernate with Lucene.Net, ORM Persistence object to the database, Lucene.Net provides indexing and query support. The following is the actual use of Nhibernate.search: Since this project has not yet been released, many of its features have been changing, so now it's just the version I downloaded, a

Lucene Learning Notes (i) Introduction and indexing of documents and reading of documents __lucene

What is Lucene? The official document of Lucene http://lucene.apache.org/core/ Lucene is a full-text search toolkit. What can lucene do? 1. Get content (Acquire contents)Lucene does not provide reptilian functionality and needs to build its own crawler applications if it needs to acquire content.Lucene only makes indexing and searching work. 2. Create documents (build document)Documents are usually composed of domains (fields), such as headings, bodie

The role and advantages of database indexing disadvantages __ Database

of the low values of these columns, such as the gender column of the personnel table, the result set's data rows account for a large proportion of the data rows in the table, that is, the data rows that need to be searched in the table are large. Adding indexes does not significantly speed up the retrieval.Third, columns that are defined as text, image, and bit data types should not be indexed. This is because these columns have either a large amount of data or a very small number of values.Fou

Sql_server Full-Text indexing usage Resolution _MSSQL

Copy Code code as follows: --1, enabling SQL Server Full-text indexing for a databaseEXEC sp_fulltext_database ' Enable ' --2, creating a Full-text Catalog--(if there is an error here "full-text search is not installed or a Full-text component cannot be loaded", this service may not be started or installed)EXEC sp_fulltext_catalog ' ask91fable ', ' create ', ' D:\Data2005\Ask_91_Index ' --3, specifying the table to be Full-text searched--

To explain the indexing problem on a partitioned table

Today, after the partition cut query, found that the index is invalid! See a Good article! Sharing learning! [@more @] To explain the indexing problem on the partition table Question: Partitioned tables are really easy to manage and perform well in terms of performance. But just one thing is not ideal: deleting data from partitions and truncate partition tables causes primary keys and global indexes to fail. If the datasheet is very large, it will tak

Oracle indexing principle (B-TREE,BITMAP, clustered, nonclustered index) ____oracle

resulting index entry equals the number of records in the table, and the bitmap in each index entry is only 1, and the rest is 0. This is not as efficient as the B-tree index.Bitmap indexing is not appropriate if the indexed columns are often updated. Because when you update the column that contains the bitmap, because you want to modify bit bits between different index entries, such as changing the first record from 01 to 02, you must change the fir

Oracle indexing and Usage principles ____oracle

One, the index type b-tree indexes Balanced binary tree, the default index type B-tree cluster indexes cluster's index type hash cluster indexes the hash index type Global and Local indexes index associated with patitioned table Reverse key indexes Oracle real application cluster use Bitmap Indexes bitmap index, Sosyang column values belong to a small The range function-based indexes based on the functional index Domain indexes Second, the use of the principle of

The role and advantages of database indexing disadvantages __ Database

column of the personnel table, the result set's data rows account for a large proportion of the data rows in the table, that is, the data rows that need to be searched in the table are large. Adding indexes does not significantly speed up the retrieval.Third, columns that are defined as text, image, and bit data types should not be indexed. This is because these columns have either a large amount of data or a very small number of values.Four, you should not create an index when the modification

Tips for optimizing SQL Server indexing

server| Tips | index | Optimizing SQL Server has several tools that allow you to detect, tune, and optimize SQL Server performance. In this article, I'll show you how to use SQL Server's tools to optimize the usage of database indexes, and this article also involves general knowledge about indexes. Common Sense About indexing The biggest factor that affects database performance is the index. Because of the complexity of the problem, I can only talk ab

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