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2 changes: 1 addition & 1 deletion docs/table-design/index/inverted-index.md
Original file line number Diff line number Diff line change
Expand Up @@ -136,7 +136,7 @@ Syntax explanation:
**Specifies whether the index supports MATCH_PHRASE phrase query acceleration**
<p>- true: supported, but the index requires more storage space</p>
<p>- false: not supported, more storage efficient, can use MATCH_ALL to query multiple keywords</p>
<p>- default false</p>
<p>- From versions 2.0.14, 2.1.5 and 3.0.1, the default is true if parser is set. Otherwise default to false.</p>

For example, the following example specifies Chinese tokenization, coarse-grained mode, and supports phrase query acceleration.
```sql
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Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ table_properties;
**用于指定索引是否支持 MATCH_PHRASE 短语查询加速**
<p>- true 为支持,但是索引需要更多的存储空间</p>
<p>- false 为不支持,更省存储空间,可以用 MATCH_ALL 查询多个关键字</p>
<p>- 默认 false</p>
<p>- 从 2.0.14, 2.1.5 和 3.0.1 版本开始,如果指定了 parser 则默认为 true,否则默认为 false</p>

例如下面的例子指定中文分词,粗粒度模式,支持短语查询加速。
```sql
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ table_properties;
**用于指定索引是否支持 MATCH_PHRASE 短语查询加速**
<p>- true 为支持,但是索引需要更多的存储空间</p>
<p>- false 为不支持,更省存储空间,可以用 MATCH_ALL 查询多个关键字</p>
<p>- 默认 false</p>
<p>- 从 2.0.14, 2.1.5 和 3.0.1 版本开始,如果指定了 parser 则默认为 true,否则默认为 false</p>

例如下面的例子指定中文分词,粗粒度模式,支持短语查询加速。
```sql
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ table_properties;
**用于指定索引是否支持 MATCH_PHRASE 短语查询加速**
<p>- true 为支持,但是索引需要更多的存储空间</p>
<p>- false 为不支持,更省存储空间,可以用 MATCH_ALL 查询多个关键字</p>
<p>- 默认 false</p>
<p>- 从 2.0.14, 2.1.5 和 3.0.1 版本开始,如果指定了 parser 则默认为 true,否则默认为 false</p>

例如下面的例子指定中文分词,粗粒度模式,支持短语查询加速。
```sql
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -137,7 +137,7 @@ table_properties;
**用于指定索引是否支持 MATCH_PHRASE 短语查询加速**
<p>- true 为支持,但是索引需要更多的存储空间</p>
<p>- false 为不支持,更省存储空间,可以用 MATCH_ALL 查询多个关键字</p>
<p>- 默认 false</p>
<p>- 从 2.0.14, 2.1.5 和 3.0.1 版本开始,如果指定了 parser 则默认为 true,否则默认为 false</p>

例如下面的例子指定中文分词,粗粒度模式,支持短语查询加速。
```sql
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -136,7 +136,7 @@ Syntax explanation:
**Specifies whether the index supports MATCH_PHRASE phrase query acceleration**
<p>- true: supported, but the index requires more storage space</p>
<p>- false: not supported, more storage efficient, can use MATCH_ALL to query multiple keywords</p>
<p>- default false</p>
<p>- From versions 2.0.14, 2.1.5 and 3.0.1, the default is true if parser is set. Otherwise default to false.</p>

For example, the following example specifies Chinese tokenization, coarse-grained mode, and supports phrase query acceleration.
```sql
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -133,7 +133,7 @@ Syntax explanation:
**Specifies whether the index supports MATCH_PHRASE phrase query acceleration**
<p>- true: supported, but the index requires more storage space</p>
<p>- false: not supported, more storage efficient, can use MATCH_ALL to query multiple keywords</p>
<p>- default false</p>
<p>- From versions 2.0.14, 2.1.5 and 3.0.1, the default is true if parser is set. Otherwise default to false.</p>

For example, the following example specifies Chinese tokenization, coarse-grained mode, and supports phrase query acceleration.
```sql
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -136,7 +136,7 @@ Syntax explanation:
**Specifies whether the index supports MATCH_PHRASE phrase query acceleration**
<p>- true: supported, but the index requires more storage space</p>
<p>- false: not supported, more storage efficient, can use MATCH_ALL to query multiple keywords</p>
<p>- default false</p>
<p>- From versions 2.0.14, 2.1.5 and 3.0.1, the default is true if parser is set. Otherwise default to false.</p>

For example, the following example specifies Chinese tokenization, coarse-grained mode, and supports phrase query acceleration.
```sql
Expand Down
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