执行结果如下,查询耗时缩短至 0.93 秒,相较于未开启索引,查询效率提高了 8 倍。 +---+---+---+---+|product_id|any_value(product_title)|rating|count|+---+---+---+---+|B00992CF6W|Minecraft|4.8235294117647056|17||B009UX2YAC|SubwaySurfers|4.7777777777777777|9||B00DJFIMW6|MinionRush...
| product_id | product_title | rating | any_value(review_body) | any_value(review_headline) | count | +---+---
执行结果如下,查询耗时缩短至 0.93 秒,相较于未开启索引,查询效率提高了 8 倍。 +---+---+---+---+|product_id|any_value(product_title)|rating|count|+---+---+---+---+|B00992CF6W|Minecraft|4.8235294117647056|17||B009UX2YAC|Subway Surfers|4.7777777777777777|9||B00DJFIMW6|Minion...
| product_id | product_title | rating | any_value(review_body) | any_value(review_headline) | count | +---+---
| product_id | product_title | rating | any_value(review_body) | any_value(review_headline) | count | +---+---
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(gdb) bt #0 0x00005555604dbd29 in void doris::vectorized::PredicateColumnType<(doris::PrimitiveType)3>::insert_default_value_res_column<signed char>(unsigned short const*, unsigned long, doris::vectorized::ColumnVector<signed char>*) () #1 0x00005555604db24a in doris::vectorized::PredicateCol...
通过addBuiltin 初始化对应 MAP_AGG 函数,value 类型是传进来的 valueType,中间状态变量是 Type.VARCHAR。 找到array 相关函数( for (Type v : Type.getArraySubTypes())),通过 addBuiltin 初始化对应 MAP_AGG 函数, value 类型是 ArrayType,中间状态变量是 MapType。
Invert Index: This enables fast search for any field. 💿 Storage Models Doris supports a variety of storage models and has optimized them for different scenarios: Aggregate Key Model: able to merge the value columns with the same keys and significantly improve performance Unique Key Model: Keys...
Invert Index: This enables fast search for any field. Doris supports a variety of storage models and has optimized them for different scenarios: Aggregate Key Model: able to merge the value columns with the same keys and significantly improve performance ...