SyteLine Data Views Optimization Guide
Data views in SyteLine are the SQL views that underlie every IDO, powering forms, reports, and API calls. Poorly performing data views are the single most common cause of slow SyteLine environments. A view that returns in 50ms for a single record might take 30 seconds when filtering large datasets or joining across multiple tables. This guide covers the techniques SyteLine DBAs and developers use to identify and resolve data view performance issues systematically.
Understanding SyteLine View Architecture
SyteLine data views follow a pattern: a base view joining core tables with lookup views providing descriptive columns. Standard views like ItemAll, CoAll, and CustomerAll are complex multi-table joins that the IDO layer queries with dynamic WHERE clauses based on user filters. Performance issues arise when these views lack appropriate indexes, contain unnecessary outer joins, or reference other views that are themselves slow. Understanding the view dependency chain is the first step in optimization.
- Map the view dependency chain—views referencing views create multiplicative performance issues
- Identify the most frequently queried views using SQL Server DMVs for execution statistics
- Check for missing indexes on columns used in WHERE clauses and JOIN conditions
- Review outer joins that could be inner joins—unnecessary outer joins prevent index optimization
Index Strategy for SyteLine Views
Indexing strategy must account for how the IDO layer constructs queries. SyteLine adds filter, sort, and property-list conditions dynamically, creating diverse query patterns against the same underlying views. Covering indexes that include commonly requested columns eliminate expensive key lookups. Filtered indexes on active status columns dramatically improve queries that filter on item status, order status, or record flags.
- Create covering indexes including IDO property columns to eliminate key lookups on large tables
- Use filtered indexes on status columns for queries that predominantly access active records
- Monitor the Missing Indexes DMV but validate recommendations against actual SyteLine query patterns
- Avoid over-indexing transaction tables—balance read performance against insert and update overhead
Custom View Development and Maintenance
When standard SyteLine views cannot be optimized sufficiently, custom views provide an alternative. Custom IDO views should be created in a separate schema to distinguish them from base views and simplify upgrade comparisons. Include only the columns actually needed by the consuming IDO, avoid correlated subqueries, and use computed columns or indexed views for expensive calculations that would otherwise execute per row.
- Place custom views in a dedicated schema (e.g., custom.) to separate them from Infor base views
- Include only columns consumed by the IDO to minimize the data footprint of each query
- Replace correlated subqueries with joins or pre-computed indexed views for better performance
- Document custom views with comments explaining the business requirement and performance rationale
Struggling with SyteLine performance? Our DBAs specialize in CloudSuite Industrial query optimization—contact us.
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