内置时间变量
用户希望在写代码时,对时间的格式要求千变万化,已有的Linkis自定义变量目前还不足以支撑这些需求。另外,已有的时间运算-1有些表示减一个月,有些则是减一天,用户很容易混淆
- 其他日期内置变量都是相对run_date计算出来
- 支持Pattern格式时间且用户可以自行随意指定
- 支持±y/±M/±d/±H等等
Pattern格式对照表:
Letter | Date or Time Component | Presentation | Examples |
---|---|---|---|
G | Era designator | Text | AD |
y | Year | Year | 1996; 96 |
Y | Week year | Year | 2009; 09 |
M | Month in year | Month | July; Jul; 07 |
w | Week in year | Number | 27 |
W | Week in month | Number | 2 |
D | Day in year | Number | 189 |
d | Day in month | Number | 10 |
F | Day of week in month | Number | 2 |
E | Day name in week | Text | Tuesday; Tue |
e | Day number of week (1 = Monday, …, 7 = Sunday) | Number | 1 |
a | Am/pm marker | Text | PM |
H | Hour in day (0-23) | Number | 0 |
k | Hour in day (1-24) | Number | 24 |
K | Hour in am/pm (0-11) | Number | 0 |
h | Hour in am/pm (1-12) | Number | 12 |
m | Minute in hour | Number | 30 |
s | Second in minute | Number | 55 |
S | Millisecond | Number | 978 |
z | Time zone | General time zone | Pacific Standard Time; PST; GMT-08:00 |
Z | Time zone | RFC 822 time zone | -0800 |
X | Time zone | ISO 8601 time zone | -08; -0800; -08:00 |
总体设计和技术架构参照Linkis自定义变量
- Linkis支持的变量类型分为自定义变量(不做赘述)和系统内置变量,自定变量日期支持+-。
- 其中+-是先对linkis内置参数run_date进行运算,然后将%之前的pattern字段进行替换,非Pattern字符不支持运算替换。
可以根据自己的喜好/业务实际情况定义需要动态渲染的参数
variable | result |
---|---|
&{yyyy-01-01} | 2021-01-01 |
&{yyyy-01-01%-2y} | 2019-01-01 |
&{yyyy-MM-01%-2M} | 2021-02-01 |
&{yyyy-MM-dd%-2d} | 2021-03-31 |
&{yyyy MM ——- HH%-1H} | 2021 04 ——- 14 |
&{yyyyMMdd%-1d} | 20210401 |
&{yyyyMM01%-1M} | 20210301 |
&{HH%-1H} | 14 |
- 例子1: sql
SELECT * FROM hive.tmp.fund_nav_histories
WHERE dt <= DATE_FORMAT(DATE_ADD('day', -1, DATE(Date_parse('&{yyyyMMdd%-1d}', '%Y%m%d'))), '%Y%m%d')
渲染后
SELECT * FROM hive.tmp.fund_nav_histories
WHERE dt <= DATE_FORMAT(DATE_ADD('day', -1, DATE(Date_parse('20220705', '%Y%m%d'))), '%Y%m%d')
- 例子2: shell
aws s3 ls s3://***/ads/tmp/dws_member_active_detail_d_20210601_20211231/pt=&{yyyyMMdd%-1d}/
渲染后
aws s3 ls s3://***/ads/tmp/dws_member_active_detail_d_20210601_20211231/pt=20220705/
- 例子3: datax json
{
"job": {
"setting": {
"speed": {
"channel": 1
}
},
"content": [
{
"reader": {
"name": "s3reader",
"parameter": {
"bucket": "**************",
"path": [
"ads/tmp/ccass_tm_announcements/&{yyyyMMdd%-1d}/"
],
"stored": "parquet",
"compression": "NONE",
"column": [
{
"index": 0,
"type": "int"
},
{
"index": 1,
"type": "string",
"constant": "&{yyyyMMdd%-1d}"
}
]
}
},
"writer": {
"name": "streamwriter",
"parameter": {
"print": true
}
}
}
]
}
}
渲染后
{
"job": {
"setting": {
"speed": {
"channel": 1
}
},
"content": [
{
"reader": {
"name": "s3reader",
"parameter": {
"bucket": "**************",
"path": [
"ads/tmp/ccass_tm_announcements/20220705/"
],
"stored": "parquet",
"compression": "NONE",
"column": [
{
"index": 0,
"type": "int"
},
{
"index": 1,
"type": "string",
"constant": "20220705"
}
]
}
},
"writer": {
"name": "streamwriter",
"parameter": {
"print": true
}
}
}
]
}
}
- 例子4:python
print(&{yyyyMMdd%-1d})
渲染后
20220705