![ilike redshift ilike redshift](https://cdn.redshift.autodesk.com/2015/12/generative_design_cycle-300x133.jpg)
One of the unusual features of the PostgreSQL database is the ability to store and process JSON documents.
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Using AWS Athena to understand your AWS billsĬanada Province & Census Division Shapefiles Modeling: Denormalized Dimension Tables with Materialized Views for Business Users
![ilike redshift ilike redshift](https://cdn.redshift.autodesk.com/2016/08/light-based-technologies-ilumi.jpg)
Gap analysis to find missing values in a sequenceĮstimating Demand Curves and Profit-Maximizing Pricing Querying JSON (JSONB) data types in PostgreSQL Using SQL to analyze Bitcoin, Ethereum & Cryptocurrency Performance Multichannel Marketing Attribution ModelingĪnalyzing Net Promoter Score (NPS) surveys in SQL to improve customer satisfaction & loyalty SQL's NULL values: comparing, sorting, converting and joining with real values SQL Server: Date truncation for custom time periods like year, quarter, month, etc.įilling Missing Data & Plugging Gaps by Generating a Continuous Seriesįinding Patterns & Matching Substrings using Regular ExpressionsĬoncatenating Rows of String Values for Aggregation
Ilike redshift series#
Redshift: Generate a sequential range of numbers for time series analysis MySQL: Generate a sequential range of numbers for time series analysis Understanding how Joins work – examples with Javascript implementation It has several improvements for trigram GIN indexes.First steps with Silota dashboarding and chartingĬalculating Exponential Moving Average with Recursive CTEsĬalculating Difference from Beginning RowĬreating Pareto Charts to visualize the 80/20 principleĬalculating Summaries with Histogram Frequency DistributionsĬalculating Relationships with Correlation MatricesĪnalyzing Recency, Frequency and Monetary value to index your best customersĪnalyze Mailchimp Data by Segmenting and Lead scoring your email listĬalculating Top N items and Aggregating (sum) the remainder into "All other"Ĭalculating Linear Regression Coefficientsįorecasting in presence of Seasonal effects using the Ratio to Moving Average method Preferably use the latest version Postgres 9.6. I would just use ILIKE and support it with a trigram index for big tables.
![ilike redshift ilike redshift](https://cdn.redshift.autodesk.com/2016/05/under-armour-testing.gif)
Pattern matching with LIKE, SIMILAR TO or regular expressions in PostgreSQL.PostgreSQL accent + case insensitive search.You can combine both, instructions in the linked answer. Does PostgreSQL support “accent insensitive” collations?.If you want to take string "normalization" one step further (remove all diacritic signs), look to unaccent(): Add a new collation to a Postgres database.If you insist on a special collation, you can create your own: Index on column with data type citext not used.Or you could use the special data type citext provided by the additional module citext: Generic Ruby solution for SQLite3 “LIKE” or PostgreSQL “ILIKE”?.
Ilike redshift portable#
Or use the more portable lower(col) LIKE WHERE lower(name) LIKE '%lala%' - pattern must be lower case, too. Trigram indexes support both case sensitive and insensitive pattern matching: You do not need a different collation for this. SQL standard but is a PostgreSQL extension. The key word ILIKE can be used instead of LIKE to make the matchĬase-insensitive according to the active locale. In Postgres, you would typically solve this differently.įor starters, just use ILIKE for case insensitive matching.