The Solr Redis Plugin is an extension for Solr that provides a query parser that uses data stored in Redis. It is open-sourced on Github by Sematext. This tool is basically a QParserPlugin that establishes a connection to Redis and takes data stored in SET, ZRANGE and other Redis data structures in order to build a query. Data fetched from Redis is used in RedisQParser and is responsible for build
Elasticsearch is near-realtime, in the sense that when you index a document, you need to wait for the next refresh for that document to appear in a search. Refreshing is an expensive operation and that is why by default it’s made at a regular interval, instead of after each indexing operation. This interval is defined by the index.refresh_interval setting, which can go either in Elasticsearch’s co
We’ve been doing a ton of work with ElasticSearch. Not long ago, we had a few situations where ElasticSearch would “eat” all the JVM heap memory we give it. It was so hungry, we could not feed it enough memory to keep it happy. It was insatiable. After some troubleshooting and looking at SPM for ElasticSearch (btw. we released a new version of the SPM agent earlier this week, so if you don’t ha
“Solr or Elasticsearch?”…well, at least that is the common question we hear from Sematext’s consulting services clients and prospects. Which one is better, Solr or Elasticsearch? Which one is faster? Which one scales better? Which one is easier to manage? Which one should we use? Is there any advantage to migrating from Solr to Elasticsearch? – and the list goes on. These are all great questions,
Relational Database MonitoringDetailed AWS RDS, AWS Aurora, PostgreSQL, MySQL and MariaDB performance statistics, including MyISAM and InnoDB engine metrics.Get SQL select or sort usage statsView access and connection performance details (used connections, aborted clients…)Get alerted on database metrics for tables, handles, threads, open files, cache usage, etc. Monitor Database Performance in Re
The ability to search is a key feature of most modern applications. While encompassing huge amounts of data, they need to allow the end-user to find what they're searching for without delay. DevOps need to look beyond the traditional databases with complicated and non-user-friendly (even if smart and innovative) SQL query-based solutions to implement search functionality. That's where Apache Solr
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