LINQ syntax differences: Activeboards vs search window

[ 1 Aggregation operations ] [ 2 Arithmetic operations ] [ 3 Array operation ] [ 4 Collect distinct operation ] [ 5 Global syntax ] [ 6 Lookup operations ] [ 7 Mlevalmodel operation ] [ 8 Order operations ] [ 9 Subqueries ]

Due to architectural differences, the LINQ syntax presents some particularities in Activeboards and the search window. Therefore, keep in mind that copying a LINQ query from the search window and pasting it into an Activeboard widget, or vice versa, might not work. Before examining the differences explained below, you can visit Build a query using LINQ to know the standard procedures when working with LINQ.

Tip

You don't need to transform your search window queries if you use the My last search queries and My favorite search queries boxes in the Data menu of the Activeboards area. They will be automatically transformed into the required format and will be added as aggregation tasks when required.

Aggregation operations

Maximum (max) operations

When you use this operation in the Data Search to create a new field, you can add as many arguments as needed, however, the number of arguments is limited to two when used in Activeboards.

As a workaround, you can perform subsequent maximum operations until you have obtained the maximum of all the arguments you need.

Search window	Activeboards

Search window

Activeboards

Syntax:

Create field: select max(value1, value2, value3, value4...) as maxField

Query example:

from demo.ecommerce.data
select max(bytesTransferred, timeTaken, statusCode) as `maxField`

Syntax:

Create field: select max(value1, value2) as maxFieldA, max(maxFieldA, value3) as maxFieldB, max(maxFieldB, value4) as maxFieldC...

Query example:

query(from demo.ecommerce.data
select max(bytesTransferred, timeTaken) as maxFieldA, max(maxFieldA, statusCode) as maxFieldTotal)

Related articles: Maximum (max)

Minimum (min) operations

When you use this operation in the Data Search to create a new field, you can add as many arguments as needed, however, the number of arguments is limited to two when used in Activeboards.

As a workaround, you can perform subsequent minimum operations until you have obtained the minimum of all the arguments you need.

Search window	Activeboards

Search window

Activeboards

Syntax:

Create field: select min(value1, value2, value3, value4...) as minField

Query example:

from demo.ecommerce.data
select min(bytesTransferred, timeTaken, statusCode) as `minField`

Syntax:

Create field: select min(value1, value2) as minFieldA, min(minFieldA, value3) as minFieldB, min(minFieldB, value4) as minFieldC...

Query example:

Related articles: Minimum (min)

Arithmetic operations

Addition, sum, plus / Concatenation (add, +) operations

When you use this operation in the Data Search, you can add as many arguments as needed (where applicable), however, the number of arguments is limited to two when used in Activeboards.

As a workaround, you can perform subsequent adding operations until you have added all the arguments you need.

Search window	Activeboards

Search window

Activeboards

Syntax:

Create field: select add(value1, value2, value3, value4...) as totalField

Query example:

Syntax:

Create field: select add(value1, value2) as totalFieldA, add(totalFieldA, value3) as totalFieldB, add(totalFieldB, value4) as totalFieldC...

Query example:

Related articles: Addition, sum, plus / Concatenation (add, +)

Multiplication, product (mul, *) operations

When you use this operation in the Data Search, you can add as many arguments as needed, however, the number of arguments is limited to two when used in Activeboards.

As a workaround, you can perform subsequent multiplication operations until you have multiplied all the arguments you need.

Search window	Activeboards

Search window

Activeboards

Syntax:

Create field: select mul(value1, value2, value3, value4...) as resultField

Query example:

Syntax:

Create field: select mul(value1, value2) as resultFieldA, mul(resultFieldA, value3) as resultFieldB, mul(resultFieldB, value4) as resultFieldC...

Query example:

Related articles: Multiplication, product (mul, *)

Array operation

When you have fields that contain sets of values as opposed to single values, this operation transforms its data type into an array to be later used to invoke one of the values inside the set. This operation can be used both to create field and as a filter. When used to create a field, the value invoked will be inserted in the new field while as a filter it will be used as filtering criteria.

This operation is not supported in the search window so you will not be able to bring queries from one are to the other. To use this operation outside Activeboards, you need to use the query API.

Search window	Activeboards

Search window

Activeboards

Not supported

Syntax:

Create field: select array(field) [valuePosition] as fieldName
Filter: where field operator array(field) [valuePosition]

Query example:

Related articles: Query API

Collect distinct operation

This operation will return the set of distinct values for the specified field when grouping events. This operation is not supported in the search window so you need to be careful when using queries from one area to the other. If you want to use it outside Activeboards you can do so with the query API.

Search window	Activeboards

Search window

Activeboards

Not supported

Syntax:

select collectdistinct(field) as fieldName

Query Example:

Related articles: Query API

Global syntax

Whilst you don't have to add anything in search window queries, Activeboard queries must be enclosed between brackets, with the word "query" added before. Queries from the search window will be automatically transformed when used in Activeboards, however, trying to use an Activeboard query in the search window will return an error.

Search window	Activeboards

Search window

Activeboards

Syntax:

from tag1.tag2.tag3.tag4

Query example:

Syntax:

query(from tag1.tag2.tag3.tag4)

Query example:

Lookup operations

Queries to use lookup operations present some particularities that make them incompatible when used from the search window to Activeboards or vice versa. The use of symbols is different and the domain name is required in one of them.

Search window	Activeboards

Search window

Activeboards

Syntax:

select `lu/lookupName/lookupfield`(field) as newfieldName

Query example:

Syntax:

select lu("lookupName", "lookupfield", field) as newfieldName

Query example:

Related article: Data enrichment

Mlevalmodel operation

Mlevalmodel operation is not supported in search window. Use this operation in Activeboards when you want to work with models you uploaded in Model Management.

Search window	Activeboards

Search window

Activeboards

Not supported

Query examples:

Example:

Refer article: Model Management

Order operations

Order operations are slightly adjusted in queries used from the search window to Activeboards or vice versa. On a general basis, both constructions work fine in both areas but each area has one of them as the default. This can create confusion because of the automatic transformations that are carried out in several processes when bringing queries from one place to the other. Here you have the preferred syntax for each of them, both to filter and create field:

Search window	Activeboards

Search window

Activeboards

Syntax:

Create field: select field operator "value"/field as fieldName
Filter: where field operator "value"/field

Query example:

Syntax:

Create field: select operator (field, "value"/field) as fieldName
Filter: where operator(field, "value"/field)

Query example:

Related articles: Order group

Subqueries

Subqueries are not supported in the search window yet so you need to be careful when using queries from one area to the other because you will not be able to reproduce subqueries. If you want to use subqueries out of Activeboards, your only option so far is to use the query API.

Search window	Activeboards

Search window

Activeboards

Not supported

Syntax:

Create field: select (from tag1.tag2.tag3.tag4) as fieldName
Filter: where field in (from tag1.tag2.tag3.tag4)

Query example:

Related articles: Subqueries, Query API