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lookup operator

  • Artikkeli

Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel

Extends the columns of a fact table with values looked-up in a dimension table.

For example, the following query results in a table that extends the FactTable ($left) with data from the DimensionTable ($right) by performing a lookup. The lookup matches each pair (CommonColumn, Col1) from FactTable with each pair (CommonColumn, Col2) in the DimensionTable. For the differences between fact and dimension tables, see fact and dimension tables.

FactTable | lookup kind=leftouter (DimensionTable) on CommonColumn, $left.Col1 == $right.Col2

The lookup operator performs an operation similar to the join operator with the following differences:

  • The result doesn't repeat columns from the $right table that are the basis for the join operation.
  • Only two kinds of lookup are supported, leftouter and inner, with leftouter being the default.
  • In terms of performance, the system by default assumes that the $left table is the larger (facts) table, and the $right table is the smaller (dimensions) table. This is exactly opposite to the assumption used by the join operator.
  • The lookup operator automatically broadcasts the $right table to the $left table (essentially, behaves as if hint.broadcast was specified). This limits the size of the $right table.

Note

If the right side of the lookup is larger than several tens of MBs, the query will fail.

You can run the following query to estimate the size of the right side in bytes:

rightSide
| summarize sum(estimate_data_size(*))

Syntax

LeftTable | lookup [kind = (leftouter|inner)] (RightTable) on Attributes

Learn more about syntax conventions.

Parameters

Name Type Required Description
LeftTable string ✔️ The table or tabular expression that is the basis for the lookup. Denoted as $left.
RightTable string ✔️ The table or tabular expression that is used to "populate" new columns in the fact table. Denoted as $right.
Attributes string ✔️ A comma-delimited list of one or more rules that describe how rows from LeftTable are matched to rows from RightTable. Multiple rules are evaluated using the and logical operator. See Rules.
kind string Determines how to treat rows in LeftTable that have no match in RightTable. By default, leftouter is used, which means all those rows appear in the output with null values used for the missing values of RightTable columns added by the operator. If inner is used, such rows are omitted from the output. Other kinds of join aren't supported by the lookup operator.

Rules

Rule kind Syntax Predicate
Equality by name ColumnName where LeftTable.ColumnName == RightTable.ColumnName
Equality by value $left.LeftColumn == $right.RightColumn where $left.LeftColumn == $right.*RightColumn

Note

In case of 'equality by value', the column names must be qualified with the applicable owner table denoted by $left and $right notations.

Returns

A table with:

  • A column for every column in each of the two tables, including the matching keys. The columns of the right side are automatically renamed if there are name conflicts.
  • A row for every match between the input tables. A match is a row selected from one table that has the same value for all the on fields as a row in the other table.
  • The Attributes (lookup keys) appear only once in the output table.
  • If kind is unspecified or kind=leftouter, then in addition to the inner matches, there's a row for every row on the left (and/or right), even if it has no match. In that case, the unmatched output cells contain nulls.
  • If kind=inner, then there's a row in the output for every combination of matching rows from left and right.

Examples

The following example shows how to perform a left outer join between the FactTable and DimTable, based on matching values in the Personal and Family columns.

let FactTable=datatable(Row:string,Personal:string,Family:string) [
  "1", "Rowan",   "Murphy",
  "2", "Ellis",   "Turner",
  "3", "Ellis",   "Turner",
  "4", "Maya",  "Robinson",
  "5", "Quinn",    "Campbell"
];
let DimTable=datatable(Personal:string,Family:string,Alias:string) [
  "Rowan",  "Murphy",   "rowanm",
  "Ellis",  "Turner", "ellist",
  "Maya", "Robinson", "mayar",
  "Quinn",   "Campbell",    "quinnc"
];
FactTable
| lookup kind=leftouter DimTable on Personal, Family

Output

Row Personal Family Alias
1 Rowan Murphy rowanm
2 Ellis Turner ellist
3 Ellis Turner ellist
4 Maya Robinson mayar
5 Quinn Campbell quinnc

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