FlexiLingo
Scaling Time-Series Workloads on Postgres
- 访谈
- 科技
Many real-world processes produce data as a continuous stream rather than as isolated records. Sensor readings, financial markets, and application telemetry all generate data this way. This kind of time-series data has a distinctive shape. It’s written far more often than it is updated, it accumulates continuously, and it is usually queried across ranges of time. Time-series databases are built specifically for this kind of workload. TimescaleDB is an open source database from Tiger Data that adds time-series capabilities to PostgreSQL. It’s implemented as a Postgres extension, so it introduces new functionality while preserving standard Post...
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C1 · 高级
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这一集适合你吗？
C1 · 高级
语速快，信息密集，习语多
- 73% 的单词在 B1 或更简单的水平。
- 每分钟 189 词：自然语速，偏快。
- 整集共有 225 个较难的单词（B2 及以上）。
文字稿
本集开头部分。完整文字稿在播放器中。
较难的单词（B2+）
Many real-world processes produce data as a continuous stream rather than as isolated records. Sensor readings, financial markets, and application telemetry all generate data this way. This kind of time series data has a distinctive shape. It's written far more often than it is updated, it accumulates continuously,
and it is usually queried across ranges of time. Time series databases are built specifically for this kind of workload. TimescaleDB is an open source database from Tiger Data that adds time series capabilities to PostgresQL.
It's implemented as a Postgres extension, so it introduces new functionality while preserving standard Postgres behavior and SQL. This lets a single Postgres-based system handle both transactional and analytical workloads without splitting data across multiple tools.
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