@@ -10,8 +10,9 @@ function aggrToSQL(expr) { const overStr = overToSQL(over) const separator = ' ' if (args.distinct) str = ['DISTINCT', str].join(separator) if (args.orderby) str = `${str} ${orderOrPartitionByToSQL(args.orderby, 'order by')}` if (args.separator) str...
we could (or should?) enforce that it be enclosed in double quotes when used as a column name. This would causecount(distinct)to fail. However, this PR is more lenient and does not enforce this, prioritizing backward compatibility.
GeoAnalytics Engine is an interface for Apache Spark that provides a collection of spatial SQL functions and spatial analysis tools that can be run in a distributed environment using Python code.
ON和HAVING语句中操作符 支持的数据类型 描述 A=B 基本数据类型 如果A等于B则返回true,反之返回false A<=>B 基本数据类型 如果A和B都为NULL则返回TRUE,其他的和等号(=)操作符一致,如果任一为NULL则结果为NULL A==B 没有 错误的语法SQL使用=,而不是== A IS [NOT] NULL 所有数据类型 如果A等于[不等于...
{propName1,propName2}}进入列表[propName1,propName2]和aggrName。“,”周围允许有空格。 代码示例 代码示例来源:origin: com.github.fartherp/framework-core protected void setupTemplates(ST sql, Map<String, Object> params) { sql.add("key", this.keyField); sql.add("value", this.valueField);...
defaultaggrtype: sum 2. 理解数据类型 原始类型 (origintype): 字符串 (string) 检测类型 (detectedtype): 数字 (number) 建议类型 (suggestedtypes): 包括数字 (number)、整数 (integer)、字符串 (string) 和时间 (time) 3. 确定数据类型 尽管原始数据类型是字符串,但检测到的数据类型是数字。考虑到“销售...
use crate::aggregates::AggrStateLoc; use crate::aggregates::AggregateFunction; use crate::BUILTIN_FUNCTIONS; #[derive(BorshSerialize, BorshDeserialize, Debug)] pub struct StringAggState { @@ -49,6 +55,7 @@ pub struct StringAggState { pub struct AggregateStringAggFunction { display_name: ...