libenchao commented on a change in pull request #10822:
[FLINK-15081][docs-zh]Translate "Concepts & Common API" page of Table…
URL: https://github.com/apache/flink/pull/10822#discussion_r382674428
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File path: docs/dev/table/common.zh.md
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@@ -1406,54 +1385,54 @@ val table: Table = tableEnv.fromDataStream(stream,
'name as 'myName)
{% top %}
-Query Optimization
+查询优化
------------------
<div class="codetabs" markdown="1">
<div data-lang="Old planner" markdown="1">
-Apache Flink leverages Apache Calcite to optimize and translate queries. The
optimization currently performed include projection and filter push-down,
subquery decorrelation, and other kinds of query rewriting. Old planner does
not yet optimize the order of joins, but executes them in the same order as
defined in the query (order of Tables in the `FROM` clause and/or order of join
predicates in the `WHERE` clause).
+Apache Flink 利用 Apache Calcite
来优化和解析查询。当前执行的优化包括投影和过滤器下推，子查询去相关以及其他类型的查询重写。原版计划程序尚未优化 join
的顺序，而是按照查询中定义的顺序执行它们（FROM 子句中的表顺序和/或 WHERE 子句中的 join 谓词顺序）。
-It is possible to tweak the set of optimization rules which are applied in
different phases by providing a `CalciteConfig` object. This can be created via
a builder by calling `CalciteConfig.createBuilder())` and is provided to the
TableEnvironment by calling
`tableEnv.getConfig.setPlannerConfig(calciteConfig)`.
+通过提供一个 `CalciteConfig` 对象，可以调整在不同阶段应用的优化规则集合。这个对象可以通过调用构造器
`CalciteConfig.createBuilder()` 创建，并通过调用
`tableEnv.getConfig.setPlannerConfig(calciteConfig)` 提供给 TableEnvironment。
</div>
<div data-lang="Blink planner" markdown="1">
-Apache Flink leverages and extends Apache Calcite to perform sophisticated
query optimization.
-This includes a series of rule and cost-based optimizations such as:
+Apache Flink 使用并扩展了 Apache Calcite 来执行复杂的查询优化。
+这包括一系列基于规则和成本的优化，例如：
-* Subquery decorrelation based on Apache Calcite
-* Project pruning
-* Partition pruning
-* Filter push-down
-* Sub-plan deduplication to avoid duplicate computation
-* Special subquery rewriting, including two parts:
- * Converts IN and EXISTS into left semi-joins
- * Converts NOT IN and NOT EXISTS into left anti-join
-* Optional join reordering
- * Enabled via `table.optimizer.join-reorder-enabled`
+* 基于 Apache Calcite 的子查询解相关
+* 模型剪枝
Review comment:
how about 投影剪裁?
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