Extending Polaris to Support Transactions
CoRR(2024)
摘要
In Polaris, we introduced a cloud-native distributed query processor to
perform analytics at scale. In this paper, we extend the underlying Polaris
distributed computation framework, which can be thought of as a read-only
transaction engine, to execute general transactions (including updates,
deletes, inserts and bulk loads, in addition to queries) for Tier 1 warehousing
workloads in a highly performant and predictable manner. We take advantage of
the immutability of data files in log-structured data stores and build on SQL
Server transaction management to deliver full transactional support with
Snapshot Isolation semantics, including multi-table and multi-statement
transactions. With the enhancements described in this paper, Polaris supports
both query processing and transactions for T-SQL in Microsoft Fabric.
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