Tablestore - Supports Spark for Accelerated Access to Indexes
Jul 08 2020
TablestoreTablestore allows you to use Spark to accelerate access to indexes. You can use the operator pushdown feature of search index to provide a more efficient process for computing engines such as Spark to access indexes.
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You can use Spark SQL on the E-MapReduce (EMR) cluster to access Tablestore. For batch computing, Tablestore Spark connector allows you to select indexes, prune partitions, perform Projection column and Filter pushdown, and dynamically specify the sizes of partitions. Tablestore Spark connector uses global secondary index or search index of Tablestore to accelerate queries by 10 to 100 times. For more information about this feature, see: https://help.aliyun.com/document_detail/187096.html
