Tag Archives: solr

Backup and Disaster Recovery for Cloudera Search

Categories: CDH Search

One of the worst things that can happen in mission-critical production environments is loss of data and another is downtime. For a search service that provides end users with easy access to data using natural language, downtime would mean complete halt for those parts of your organization. Even worse if the search service is fueling your online business, it interrupts your customer access and end user experience.

That is why we designed multiple options of backup and disaster recovery for your data served via Cloudera Search,

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Quicker Insight into Apache Solr and Collection Health

Categories: CDH Cloudera Manager How-to Search

Successful cluster administration can be very difficult without a real-time view of the state of the cluster. Solr itself does not provide aggregated views about its state or any historical usage data, which is necessary to understand how the service is used and how it is performing. Knowing the throughput and capacities not only helps detect errors and troubleshoot issues, but is also useful for capacity planning.

Questions may arise, such as:

  • What is the size of my cluster and each collection?

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How-to: Fuzzy Name Indexing in Apache Hadoop with Rosette and Cloudera Search

Categories: CDH How-to Search

In this guide, learn how to use Cloudera Search with Basis Technology’s Rosette®  to perform fuzzy name searches in multiple languages and scripts.

Our thanks to Basis Technology team (Jeanne Le Garrec, Hannah MacKenzie-Margulies and Brian Sawyer) for supporting writing this how-to blog.

Cloudera Search, powered by Apache Solr brings full-text, interactive search, and scalable indexing to Apache Hadoop by marrying SolrCloud with HDFS, Apache HBase,

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How-to: Index Scanned PDFs at Scale Using Fewer Than 50 Lines of Code

Categories: HBase How-to Search Spark

Learn how to use OCR tools, Apache Spark, and other Apache Hadoop components to process PDF images at scale.

Optical character recognition (OCR) technologies have advanced significantly over the last 20 years. However, during that time, there has been little or no effort to marry OCR with distributed architectures such as Apache Hadoop to process large numbers of images in near-real time.

In this post, you will learn how to use standard open source tools along with Hadoop components such as Apache Spark,

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