Hive Metastore supports various backend databases, among which MySQL is the most commonly used. However, in real-world scenarios, MySQL’s shortcoming is obvious: as metadata grows in Hive, MySQL is limited by its standalone performance and can’t deliver good performance. When individual MySQL databases form a cluster, the complexity drastically increases. In scenarios with huge amounts of metadata (for example, a single table has more than 10 million or even 100 million rows of data), MySQL is not a good choice.
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Philips, entreprise leader des technologies de santé, décrit l’avenir du travail lors de « Procurement Reimagined » de SAP