Mysql slave invalidating query cache entries

14-Feb-2017 08:57

This feature significantly increases the number of use cases where you can apply caching without the risk of data inconsistency challenges that can result from using TTL-based invalidation.

The Scale Arc analytics UI helps identify the queries that belong to the same table and access the same column.

Scale Arc supports string, boolean, long, double, short, byte, binary, decimal, byte Array, date, time, timestamp, and Character Streams as column types.

For example, consider a product catalog table with a column of “product_id.” The application issues select or update queries to retrieve or update data from the table using “product_id.” Scale Arc uses the “product_id” value as the metadata to tag the cache objects internally.

Complex select queries that have several conditions / count queries will be replaced by a simple retrieve By PK-like query on the memcache.

The query cache stores serialized objects, saving the time of the Propel hydration process.

Scale Arc has introduced auto cache invalidation to the industry – a method for automatically invalidating cache entries that enables true ACID-compliant caching.

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The list of invalidation keys to update should also be added to $INVALIDATION_KEYS in deployment/base/scripts/create Query Cache Users browse through a lot of items before the final checkout, which puts significant load on the database.It is widely known that having slow load times impacts sales, and querying cart data from the database can slow web page performance.Scale Arc’s auto cache invalidation feature uses the transparent No SQL technology by extracting metadata from the query and tagging the cache objects used to associate cache entries with invalidation queries.With this invalidation method, Scale Arc can guarantee that its cache will not serve stale data.

The list of invalidation keys to update should also be added to $INVALIDATION_KEYS in deployment/base/scripts/create Query Cache Users browse through a lot of items before the final checkout, which puts significant load on the database.It is widely known that having slow load times impacts sales, and querying cart data from the database can slow web page performance.Scale Arc’s auto cache invalidation feature uses the transparent No SQL technology by extracting metadata from the query and tagging the cache objects used to associate cache entries with invalidation queries.With this invalidation method, Scale Arc can guarantee that its cache will not serve stale data.The key used for caching is a function of the query string: QCQ--, where query type is 'sel' for do Select and 'cnt' for do Count (we use serialize($criteria) to avoid building the query string unnecessarily).