你当前正在访问 Microsoft Azure Global Edition 技术文档网站。 如果需要访问由世纪互联运营的 Microsoft Azure 中国技术文档网站,请访问 https://docs.azure.cn。
Applies to: ✅Microsoft Fabric✅Azure Data Explorer✅Azure Monitor✅Microsoft Sentinel
计算字符串表达式并将其值分析为一个或多个计算列。 已计算列将针对未成功分析的字符串返回 null
值。 If there's no need to use rows where parsing doesn't succeed, prefer using the parse-where operator.
Syntax
T| parse
[ kind=
kind [ flags=
regexFlags ]] expressionwith
[ *
] stringConstantcolumnName [:
columnType] [ *
] ,
...
Learn more about syntax conventions.
Parameters
Name | 类型 | Required | Description |
---|---|---|---|
T | string |
✔️ | 要分析的表格输入。 |
kind | string |
✔️ |
支持的类型值之一。 默认值为 simple 。 |
regexFlags | string |
If kind is regex , then you can specify regex flags to be used like U for ungreedy, m for multi-line mode, s for match new line \n , and i for case-insensitive. More flags can be found in Flags. |
|
expression | string |
✔️ | 计算结果为字符串的表达式。 |
stringConstant | string |
✔️ | 要搜索和分析的字符串常量。 |
columnName | string |
✔️ | 要为其赋值的列的名称(从字符串表达式中提取)。 |
columnType | string |
一个标量值,指示要将值转换为何种类型。 默认为 string 。 |
Note
- The parse pattern can start with ColumnName in addition to StringConstant.
- 在模式中使用
*
可跳过垃圾值。 不能在*
类型列后使用string
。 - If the parsed expression isn't of type
string
, it will be converted to typestring
. - 如果还希望删除或重命名某些列,请使用
project
。
支持的 kind
值
文本 | Description |
---|---|
simple |
这是默认值。 stringConstant is a regular string value and the match is strict. 所有字符串分隔符都应出现在分析的字符串中,并且所有扩展列都必须与所需类型匹配。 |
regex |
stringConstant can be a regular expression and the match is strict. 所有字符串分隔符(对于此模式,可以是正则表达式)都应出现在分析的字符串中,并且所有扩展列都必须与所需类型匹配。 |
relaxed |
stringConstant is a regular string value and the match is relaxed. 所有字符串分隔符都应出现在分析的字符串中,但是扩展列可能会部分匹配所需的类型。 与所需类型不匹配的扩展列将获得值 null 。 |
Regex mode
在正则表达式模式下,分析会将模式转换为正则表达式。 Use regular expressions to do the matching and use numbered captured groups that are handled internally. For example:
parse kind=regex Col with * <regex1> var1:string <regex2> var2:long
在分析语句中,分析内部生成的正则表达式是 .*?<regex1>(.*?)<regex2>(\-\d+)
。
*
转换为.*?
。string
转换为.*?
。long
转换为\-\d+
。
Returns
输入表,根据提供给运算符的列的列表进行扩展。
Examples
本节中的示例演示如何使用语法帮助你入门。
The examples in this article use publicly available tables in the help cluster, such as the
StormEvents
table in the Samples database.
The examples in this article use publicly available tables, such as the
Weather
table in the Weather analytics sample gallery. 可能需要修改示例查询中的表名称以匹配工作区中的表。
parse
运算符提供了一种简单的方法,可通过对同一 extend
表达式使用多个 extract
应用程序来 string
表。 当表中有一个 string
列,其中包含多个要分解为单独列的值时,此结果非常有用。 例如,由开发人员跟踪 ("printf
"/"Console.WriteLine
") 语句生成的列。
分析和扩展结果
在以下示例中,表 EventText
的列 Traces
包含 Event: NotifySliceRelease (resourceName={0}, totalSlices={1}, sliceNumber={2}, lockTime={3}, releaseTime={4}, previousLockTime={5})
形式的字符串。
该操作使用六列扩展表:resourceName
、totalSlices
、sliceNumber
、lockTime
、releaseTime
和 previousLockTime
。
let Traces = datatable(EventText: string)
[
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse EventText with * "resourceName=" resourceName ", totalSlices=" totalSlices: long * "sliceNumber=" sliceNumber: long * "lockTime=" lockTime ", releaseTime=" releaseTime: date "," * "previousLockTime=" previousLockTime: date ")" *
| project resourceName, totalSlices, sliceNumber, lockTime, releaseTime, previousLockTime
Output
resourceName | totalSlices | sliceNumber | lockTime | releaseTime | previousLockTime |
---|---|---|---|---|---|
PipelineScheduler | 27 | 15 | 02/17/2016 08:40:00 | 2016-02-17 08:40:00.0000000 | 2016-02-17 08:39:00.0000000 |
PipelineScheduler | 27 | 23 | 02/17/2016 08:40:01 | 2016-02-17 08:40:01.0000000 | 2016-02-17 08:39:01.0000000 |
PipelineScheduler | 27 | 20 | 02/17/2016 08:40:01 | 2016-02-17 08:40:01.0000000 | 2016-02-17 08:39:01.0000000 |
PipelineScheduler | 27 | 16 | 02/17/2016 08:41:00 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:40:00.0000000 |
PipelineScheduler | 27 | 22 | 02/17/2016 08:41:01 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:40:01.0000000 |
提取电子邮件别名和 DNS
In the following example, entries from the Contacts table are parsed to extract the alias and domain from an email address, and the domain from a website URL. 查询会返回 EmailAddress
、EmailAlias
和 WebsiteDomain
列,其中 fullEmail
列会合并分析的电子邮件别名和域。
let Leads=datatable(Contacts: string)
[
"Event: LeadContact (email=john@contosohotel.com, Website=https:contosohotel.com)",
"Event: LeadContact (email=abi@fourthcoffee.com, Website=https:www.fourthcoffee.com)",
"Event: LeadContact (email=nevena@treyresearch.com, Website=https:treyresearch.com)",
"Event: LeadContact (email=faruk@tailspintoys.com, Website=https:tailspintoys.com)",
"Event: LeadContact (email=ebere@relecloud.com, Website=https:relecloud.com)",
];
Leads
| parse Contacts with * "email=" alias:string "@" domain: string ", Website=https:" WebsiteDomain: string ")"
| project EmailAddress=strcat(alias, "@", domain), EmailAlias=alias, WebsiteDomain
Output
EmailAddress | EmailAlias | WebsiteDomain |
---|---|---|
nevena@treyresearch.com | nevena | treyresearch.com |
john@contosohotel.com | john | contosohotel.com |
faruk@tailspintoys.com | faruk | tailspintoys.com |
ebere@relecloud.com | ebere | relecloud.com |
abi@fourthcoffee.com | abi | www.fourthcoffee.com |
Regex mode
在下面的示例中,正则表达式用于分析和提取 EventText
列中的数据。 提取的数据会投影到新字段中。
let Traces=datatable(EventText: string)
[
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex EventText with "(.*?)[a-zA-Z]*=" resourceName @", totalSlices=\s*\d+\s*.*?sliceNumber=" sliceNumber: long ".*?(previous)?lockTime=" lockTime ".*?releaseTime=" releaseTime ".*?previousLockTime=" previousLockTime: date "\\)"
| project resourceName, sliceNumber, lockTime, releaseTime, previousLockTime
Output
resourceName | sliceNumber | lockTime | releaseTime | previousLockTime |
---|---|---|---|---|
PipelineScheduler | 15 | 02/17/2016 08:40:00, | 02/17/2016 08:40:00, | 2016-02-17 08:39:00.0000000 |
PipelineScheduler | 23 | 02/17/2016 08:40:01, | 02/17/2016 08:40:01, | 2016-02-17 08:39:01.0000000 |
PipelineScheduler | 20 | 02/17/2016 08:40:01, | 02/17/2016 08:40:01, | 2016-02-17 08:39:01.0000000 |
PipelineScheduler | 16 | 02/17/2016 08:41:00, | 02/17/2016 08:41:00, | 2016-02-17 08:40:00.0000000 |
PipelineScheduler | 22 | 02/17/2016 08:41:01, | 02/17/2016 08:41:00, | 2016-02-17 08:40:01.0000000 |
使用正则表达式标志的正则表达式模式
在以下示例中,提取了 resourceName
。
let Traces=datatable(EventText: string)
[
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex EventText with * "resourceName=" resourceName ',' *
| project resourceName
Output
resourceName |
---|
PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01 |
PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00 |
PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01 |
PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00 |
PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00 |
如果有些记录在 resourceName
中有时显示为小写,有时显示为大写,则某些值可能会获得 null。
上一示例中的结果是意外结果,并且包括完整的事件数据,因为默认模式是贪婪的。
要仅提取 resourceName
,请使用非贪婪 U
运行上一个查询,并禁用区分大小写的 i
正则表达式标志。
let Traces=datatable(EventText: string)
[
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=02/17/2016 08:40:00, previousLockTime=02/17/2016 08:39:00)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=02/17/2016 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex flags=Ui EventText with * "RESOURCENAME=" resourceName ',' *
| project resourceName
Output
resourceName |
---|
PipelineScheduler |
PipelineScheduler |
PipelineScheduler |
PipelineScheduler |
PipelineScheduler |
如果分析的字符串具有换行符,请使用标志 s
来分析文本。
let Traces=datatable(EventText: string)
[
"Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=23\nlockTime=02/17/2016 08:40:01\nreleaseTime=02/17/2016 08:40:01\npreviousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=15\nlockTime=02/17/2016 08:40:00\nreleaseTime=02/17/2016 08:40:00\npreviousLockTime=02/17/2016 08:39:00)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=20\nlockTime=02/17/2016 08:40:01\nreleaseTime=02/17/2016 08:40:01\npreviousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=22\nlockTime=02/17/2016 08:41:01\nreleaseTime=02/17/2016 08:41:00\npreviousLockTime=02/17/2016 08:40:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler\ntotalSlices=27\nsliceNumber=16\nlockTime=02/17/2016 08:41:00\nreleaseTime=02/17/2016 08:41:00\npreviousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=regex flags=s EventText with * "resourceName=" resourceName: string "(.*?)totalSlices=" totalSlices: long "(.*?)lockTime=" lockTime: datetime "(.*?)releaseTime=" releaseTime: datetime "(.*?)previousLockTime=" previousLockTime: datetime "\\)"
| project-away EventText
Output
resourceName | totalSlices | lockTime | releaseTime | previousLockTime |
---|---|---|---|---|
PipelineScheduler |
27 | 2016-02-17 08:40:00.0000000 | 2016-02-17 08:40:00.0000000 | 2016-02-17 08:39:00.0000000 |
PipelineScheduler |
27 | 2016-02-17 08:40:01.0000000 | 2016-02-17 08:40:01.0000000 | 2016-02-17 08:39:01.0000000 |
PipelineScheduler |
27 | 2016-02-17 08:40:01.0000000 | 2016-02-17 08:40:01.0000000 | 2016-02-17 08:39:01.0000000 |
PipelineScheduler |
27 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:40:00.0000000 |
PipelineScheduler |
27 | 2016-02-17 08:41:01.0000000 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:40:01.0000000 |
Relaxed mode
在以下相关模式示例中,扩展列 totalSlices
必须为类型 long
。 但是,在分析的字符串中,它的值是 nonValidLongValue
。
对于扩展列 releaseTime
,不能将 nonValidDateTime
值分析为 datetime
。
这两个扩展列会产生 null
值,而其他列(例如 sliceNumber
)仍会产生正确的值。
如果对以下查询使用选项 kind = simple
,则会获得所有扩展列的 null
结果。 此选项在扩展列上是严格的,这是 relaxed 模式和 simple 模式之间的差异。
Note
在 relaxed 模式下,可以对扩展列进行部分匹配。
let Traces=datatable(EventText: string)
[
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=23, lockTime=02/17/2016 08:40:01, releaseTime=nonValidDateTime 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=15, lockTime=02/17/2016 08:40:00, releaseTime=nonValidDateTime, previousLockTime=02/17/2016 08:39:00)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=nonValidLongValue, sliceNumber=20, lockTime=02/17/2016 08:40:01, releaseTime=nonValidDateTime 08:40:01, previousLockTime=02/17/2016 08:39:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=27, sliceNumber=22, lockTime=02/17/2016 08:41:01, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:01)",
"Event: NotifySliceRelease (resourceName=PipelineScheduler, totalSlices=nonValidLongValue, sliceNumber=16, lockTime=02/17/2016 08:41:00, releaseTime=02/17/2016 08:41:00, previousLockTime=02/17/2016 08:40:00)"
];
Traces
| parse kind=relaxed EventText with * "resourceName=" resourceName ", totalSlices=" totalSlices: long ", sliceNumber=" sliceNumber: long * "lockTime=" lockTime ", releaseTime=" releaseTime: date "," * "previousLockTime=" previousLockTime: date ")" *
| project-away EventText
Output
resourceName | totalSlices | sliceNumber | lockTime | releaseTime | previousLockTime |
---|---|---|---|---|---|
PipelineScheduler | 27 | 15 | 02/17/2016 08:40:00 | 2016-02-17 08:39:00.0000000 | |
PipelineScheduler | 27 | 23 | 02/17/2016 08:40:01 | 2016-02-17 08:39:01.0000000 | |
PipelineScheduler | 20 | 02/17/2016 08:40:01 | 2016-02-17 08:39:01.0000000 | ||
PipelineScheduler | 16 | 02/17/2016 08:41:00 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:40:00.0000000 | |
PipelineScheduler | 27 | 22 | 02/17/2016 08:41:01 | 2016-02-17 08:41:00.0000000 | 2016-02-17 08:40:01.0000000 |
Related content
- parse-json function
- extract function
- extract-all function
- extract-json function