From 9723f77c0e1e0da73944b42452c89f8486df21d0 Mon Sep 17 00:00:00 2001
From: Rex <binglvabc@gmail.com>
Date: Mon, 21 Nov 2016 10:30:04 +0800
Subject: [PATCH] chapter40_part5:/340_Geoshapes/78_Indexed_geo_shapes.asciidoc
 (#323)

---
 340_Geoshapes/78_Indexed_geo_shapes.asciidoc | 22 +++++++-------------
 1 file changed, 7 insertions(+), 15 deletions(-)

diff --git a/340_Geoshapes/78_Indexed_geo_shapes.asciidoc b/340_Geoshapes/78_Indexed_geo_shapes.asciidoc
index defaa4e22..5776be2b2 100644
--- a/340_Geoshapes/78_Indexed_geo_shapes.asciidoc
+++ b/340_Geoshapes/78_Indexed_geo_shapes.asciidoc
@@ -1,12 +1,9 @@
 [[indexed-geo-shapes]]
-=== Querying with Indexed Shapes
+=== 在查询中使用已索引的形状
 
-With shapes that are often used in queries, it can be more convenient to store
-them in the index and to refer to them by name in the query.((("indexed shapes, querying with")))((("geo-shapes", "querying with indexed shapes")))  Take our example
-of central Amsterdam in the previous example.  We could store it as a document
-of type `neighborhood`.
+对于那些经常会在查询中使用的形状，可以把它们索引起来以便在查询中可以方便地直接引用名字。((("indexed shapes, querying with")))((("geo-shapes", "querying with indexed shapes")))以之前的阿姆斯特丹中部为例，我们可以把它存储成一个类型为 `neighborhood` 的文档。
 
-First, we set up the mapping in the same way as we did for `landmark`:
+首先，我们仿照之前设置 `landmark` 时的方式建立映射：
 
 [source,json]
 -----------------------
@@ -23,7 +20,7 @@ PUT /attractions/_mapping/neighborhood
 }
 -----------------------
 
-Then we can index a shape for central Amsterdam:
+然后我们索引阿姆斯特丹中部对应的形状：
 
 [source,json]
 -----------------------
@@ -49,8 +46,7 @@ PUT /attractions/neighborhood/central_amsterdam
 }
 -----------------------
 
-After the shape is indexed, we can refer to it by `index`, `type`, and `id` in the
-query itself:
+形状索引好之后，我们就可以在查询中通过 `index` ， `type` 和 `id` 来引用它了：
 
 [source,json]
 -----------------------
@@ -71,13 +67,9 @@ GET /attractions/landmark/_search
   }
 }
 -----------------------
-<1> By specifying `indexed_shape` instead of `shape`, Elasticsearch knows that
-    it needs to retrieve the query shape from the specified document and
-    `path`.
+<1> 指定 `indexed_shape` 而不是 `shape` ，Elasticesearch 就知道需要从指定的文档和 `path` 检索出对应的形状了。
 
-There is nothing special about the shape for central Amsterdam.  We could
-equally use our existing shape for Dam Square in queries.  This query finds
-neighborhoods that intersect with Dam Square:
+阿姆斯特丹中部这个形状没有什么特别的。同样地，我们也可以在查询中使用已经索引好的达姆广场。这个查询可以找出与达姆广场有交集的临近点：
 
 [source,json]
 -----------------------