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Showing posts with label outer join. Show all posts
Showing posts with label outer join. Show all posts

Wednesday, 28 August 2019

Talend TOS TMap Join configuration – Match Model

https://www.talendbyexample.com/talend-tmap-component-joins.html


Image 5

This short article contains text-snippets from the link above.

It explains the important considerations when joining data together using tMap component, in Talend Open Studio.



Lookup Model
Normally, you would choose to load your look-up input only once. This is the default Lookup Model of Load Once.
If you have a use-case where you need to reload the look-up input for each of your primary rows, then you have the option of Reload at each row or Reload at each row (cache). Depending on the size of your inputs, either of these latter two options are likely to severely impact the throughput of your Job.

Match Model
The default Match Model is the curiously named Unique match.
If your primary row matches multiple rows in your look-up input, then only the last matching row will be output.
The remaining options are First match, where only the first matching row will be output, and All matches where all matching rows will be output.

Join Model
The default Join Model is Left Outer Join, that is, if no matching row appears in the look-up input, rows from the primary input will still be output.
If you need to perform an Antijoin, then select this option and exclude rows later, by outputting a key value from your look-up input and subsequently excluding rows where this value is null.

The second option available is Inner Join. In this case, only rows where a successful match has been made against the look-up, will be output.

Store temp Data
If you are processing large datasets, you may find it helpful to set this option to true, to conserve memory. When set to true, you will also need to set Temp data directory path; which may be found on the Advanced settings component tab of tMap. Note that this is likely to have a negative impact on the overall throughput of your Job.

Monday, 17 November 2014

T-SQL Logical Query Processing Phases

This section is lifted/quoting "Inside Microsoft SQL SERVER 2005: T-SQL Querying"

Logical Query Processing Phases
This section introduces the phases involved in the logical processing of a query.
I will first briefly describe each step.
Then, in the following sections, I’ll describe the steps in much more detail and apply them to a sample query.
You can use this section as a quick reference whenever you need to recall the order and general meaning of the different phases.
Listing 1-1 contains a general form of a query, along with step numbers assigned according to the order in which the different clauses are logically processed.

Listing 1-1 Logical query processing step numbers
(8) SELECT (9) DISTINCT (11)
(1) FROM
(3) JOIN
(2) ON
(4) WHERE
(5) GROUP BY
(6) WITH {CUBE | ROLLUP}
(7) HAVING
(10) ORDER BY

The first noticeable aspect of SQL that is different than other programming languages is the order in which the code is processed.
In most programming languages, the code is processed in the order in which it is written.
In SQL, the first clause that is processed is the FROM clause, while the SELECT clause, which appears first, is processed almost last.

Each step generates a virtual table that is used as the input to the following step.
These virtual tables are not available to the caller (client application or outer query).
Only the table generated by the final step is returned to the caller.
If a certain clause is not specified in a query, the corresponding step is simply skipped.

Following is a brief description of the different logical steps applied in both SQL Server 2000 and SQL Server 2005.

Brief Description of Logical Query Processing Phases
Don’t worry too much if the description of the steps doesn’t seem to make much sense for now.
These are provided as a reference.

Sections that come after the scenario example will cover the steps in much more detail.

  1. FROM: A Cartesian product (cross join) is performed between the first two tables in the FROM clause, and as a result, virtual table VT1 is generated.
  2. ON: The ON filter is applied to VT1. Only rows for which the is TRUE are inserted to VT2.
  3. OUTER (join): If an OUTER JOIN is specified (as opposed to a CROSS JOIN or an INNER JOIN), rows from the preserved table or tables for which a match was not found are added to the rows from VT2 as outer rows, generating VT3. If more than two tables appear in the FROM clause, steps 1 through 3 are applied repeatedly between the result of the last join and the next table in the FROM clause until all tables are processed.
  4. WHERE: The WHERE filter is applied to VT3. Only rows for which the is TRUE are inserted to VT4.
  5. GROUP BY: The rows from VT4 are arranged in groups based on the column list specified in the GROUP BY clause. VT5 is generated.
  6. CUBE | ROLLUP: Supergroups (groups of groups) are added to the rows from VT5, generating VT6.
  7. HAVING: The HAVING filter is applied to VT6. Only groups for which the is TRUE are inserted to VT7.
  8. SELECT: The SELECT list is processed, generating VT8.
  9. DISTINCT: Duplicate rows are removed from VT8. VT9 is generated.
  10. ORDER BY: The rows from VT9 are sorted according to the column list specified in the ORDER BY clause. A cursor is generated (VC10).
  11. TOP: The specified number or percentage of rows is selected from the beginning of
    VC10. Table VT11 is generated and returned to the caller.