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Last updated on 2024年6月9日

How can you update your indexing strategy as your database evolves?

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As your database grows and changes, the need to update your indexing strategy becomes crucial for maintaining performance and quick data retrieval. Business Intelligence (BI) relies heavily on efficiently structured databases, and indexes are a key component in this structure. Indexes in a database are analogous to an index in a book; they help you quickly locate the information you need without having to scan every page. However, as the content of the book changes, so must the index. Similarly, as databases evolve, you need to reassess and update your indexing strategy to ensure optimal performance.

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Niraj Singh Tomar

MBA - Business Analytics | SCMHRD Co'25 | Top 4% LinkedIn Top Business Intelligence (BI) Voice | Google Business…
Schowerneck Jonathan RANDRIANJANDRY

Administrateur système, réseaux et sécurité
Manish Mahawar

Business Intelligence || Public Policy || Data Governance || Project Management || Financial Management || Economic ||…

1 Index Basics

Understanding the basics of database indexing is essential before diving into updates. An index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage space. Think of it as a sorted list of references to the rows in a table, which the database search engine can query instead of scanning the entire table. Proper indexing is all about balance; too many indexes can slow down write operations, while too few can make reads inefficient.

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Niraj Singh Tomar

MBA - Business Analytics | SCMHRD Co'25 | Top 4% LinkedIn Top Business Intelligence (BI) Voice | Google Business Intelligence Specialization | Amazon | Persistent Systems | Business Analyst | Power BI
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A database index is like a book's index, helping you find information quickly. Instead of flipping through every page, you go straight to the topic you need. In databases, an index speeds up data retrieval by creating a sorted list of references to rows in a table. For example, if you have a table of student records, an index on the "last name" column lets you quickly find students by their last names. However, too many indexes can slow down adding new records (writes), while too few indexes can make searching (reads) slow. The key is to balance the number of indexes.

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Manish Mahawar

Business Intelligence || Public Policy || Data Governance || Project Management || Financial Management || Economic || Prompt Engineering & Artificial Intelligence (AI)
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To adapt your indexing strategy as your database evolves, monitor performance metrics regularly to spot bottlenecks. Review existing indexes for efficiency and consider new ones based on emerging query patterns. Assess if composite indexes or different index types would optimize queries. Maintain indexes by managing fragmentation and updating statistics. Partition large tables if needed. Test changes thoroughly before implementing in production. Automate indexing processes where possible and document all changes for future reference.

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2 Assess Needs

To update your indexing strategy, start by assessing the current performance and query patterns. Analyze which queries are run most frequently and which tables have grown significantly. Use database monitoring tools to identify slow-running queries and consider the columns used in WHERE clauses, JOIN operations, or as SORT keys in these queries. This analysis will highlight which indexes are beneficial and which might have become obsolete or redundant as the database evolved.

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Schowerneck Jonathan RANDRIANJANDRY

Administrateur système, réseaux et sécurité
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Approche Progressive: Faites des changements de manière incrémentale pour minimiser les risques d’impact négatif sur les performances.

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3 Index Types

Different types of indexes serve different needs. For instance, a B-tree index, the most common type, is excellent for range queries, while a hash index is optimized for equality comparisons. Full-text indexes are used for searching text-heavy data columns. As your database evolves, the types of queries may change, necessitating a shift in the types of indexes used. Ensure you understand the strengths and limitations of each index type and apply them where they will be most effective.

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4 Rebuild Indexes

Over time, indexes can become fragmented, leading to inefficient database operations. Periodically rebuilding indexes can optimize their storage and improve performance. This process involves reorganizing or recreating the index to eliminate fragmentation. It's important to schedule index rebuilds during low-traffic periods as they can be resource-intensive and may temporarily affect database performance.

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5 Automate Monitoring

Automating the monitoring of your database's performance can greatly aid in keeping your indexing strategy up-to-date. Set up alerts for when query performance dips below a certain threshold or when tables reach a size that may require new indexes. Regularly scheduled reports can also help you stay informed about the health of your database and prompt timely updates to your indexing strategy.

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Schowerneck Jonathan RANDRIANJANDRY

Administrateur système, réseaux et sécurité
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Métriques Clés à Surveiller ? Temps de Réponse des Requêtes : Surveillez le temps de réponse des requêtes pour identifier celles qui sont lentes. ? Utilisation des Index : Mesurez la fréquence d’utilisation des index, notamment les lectures d’index et les scans d’index. ? Taux de Cache Hit : Surveillez le taux de cache hit pour les pages d’index, ce qui indique si les index sont bien optimisés pour les requêtes fréquentes. ? Verrouillage et Blocage : Surveillez les verrous et blocages pour identifier les contentions et optimiser les index en conséquence. ? Taux de Fragmentation : Surveillez la fragmentation des index, ce qui peut affecter les performances des requêtes.

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6 Evolve Strategy

Lastly, be prepared to evolve your indexing strategy as your business needs and database schema change. This may involve adding new indexes for newly added columns that are frequently queried or dropping indexes that no longer serve a purpose. Always keep an eye on how changes in your application's usage patterns might affect the database workload and adjust your indexing approach accordingly to maintain optimal BI performance.

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Mário Mineiro

Data Strategic / Data Architect & AI Innovator | Building Robust Data Foundations for Data Insights / AI | Pioneering Intelligent Data Analytics Solutions
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As your database grows and evolves, so too should your indexing strategy. Regularly review the performance metrics and adjust indexes as necessary. This may involve adding new indexes, modifying existing ones, or removing those that are no longer useful.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you update your indexing strategy as your database evolves?

1

2

3

4

5

6

7

1 Index Basics

2 Assess Needs

3 Index Types

4 Rebuild Indexes

5 Automate Monitoring

6 Evolve Strategy

7 Here’s what else to consider

Business Intelligence

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How can you update your indexing strategy as your database evolves?

1

2

3

4

5

6

7

1 Index Basics

2 Assess Needs

3 Index Types

4 Rebuild Indexes

5 Automate Monitoring

6 Evolve Strategy

7 Here’s what else to consider

Business Intelligence

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