Progress Acquires MarkLogic! Learn More

Blog

Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

Tutorial
 
クエリパフォーマンスを最適化するためのチェックリスト
XQueryのパフォーマンスを最適化するためのシンプルなチェックリストをご紹介します。
Data Modeling
 
1つのデータベースに対して10,000個のレンジインデックスを作れるか？
いくつ以上になるとレンジインデックスが「多すぎる」と言われるでしょうか？10,000ものレンジインデックスは必要でしょうか？
Developer Insights
 
Lazy Evaluation Magic
Learn about lazy evaluation -- what it is and when it is appropriate to use. Study it in action with XQuery code that processes and groups search results in a fast and efficient way.
Graph bubbles of an interconnected network
Tutorial
 
Element-Level Security Performance
MarkLogic 9 provides the ability to select certain paths within documents and protect them from viewing or updating, unless the user has the proper credentials. This post covers the performance implication of using this functionality and provides some recommendations to design and implement a solution that uses element level security.
Developer Insights
 
Seven Reasons to Use a Range Index in MarkLogic
Discover the top 7 reasons for using a range index in MarkLogic.
Tutorial
 
A Checklist for Optimizing Query Performance
Paxton Hare presents a simple checklist to follow for optimizing XQuery performance
Tutorial
 
A goal without a plan is just a wish: Working with xdmp:plan
Optimizing search performance with the help of xdmp:plan
Product
 
Finding the Right Balance with MarkLogic
Rebalancing in MarkLogic redistributes content in a database so that the forests that make up the database each have a similar number of documents. Spreading documents evenly across forests lets you take better advantage of concurrency among hosts.
Tutorial
 
Hacking Monitoring History
Customize charts in the performance-monitoring application
Tutorial
 
Returning Lexicon Values using XPath Expressions
How do you find the URIs of documents that do not have a deeply nested structure? Generally, this problem isn't easily solvable using pure cts:query constructs -- that was, until now.