035-2009: Exploring PROC SQL Joins and Join Algorithms
The SQL procedure is a simple and flexible tool for joining tables of data together. Certainly many of the join techniques can be accomplished using other
Using Data Step MERGE and Proc SQL JOIN to Combine SAS
Whether you merge data via the SAS data step or you join data via PROC SQL you need to be tables. Code: PROC SQL; 3 create table Joined_ToyGA_default as.
139-2010: Exploring Powerful Features in PROC SQL
Structured Query Language (PROC SQL) is a database language found in the Base SAS® software. joining two or more tables to explore data relationships.
Étape Data (Merge) ou SAS SQL (JOIN)??
une clé similaire. ?Si les tables ne contiennent pas les mêmes noms de variables l'étape data ne peut pas être utilisée. (possibilité d'utiliser proc SQL).
SUGI 25: Merges and Joins
joined in either order. The following PROC SQL segment creates a table named INNER1 as the inner join between DOSING and EFFICACY on PATIENT.
149-2012: Queries Joins
Oh My
131-31: Using Data Set Options in PROC SQL
using the data set options DROP KEEP
SUGI 26: DATA Step vs. PROC SQL: Whats a Neophyte to Do?
Variables. Columns. Merge. Join. Extract. Query. SAS implemented a version of SQL so as to be able to access relational database tables and create SAS data.
Using DATA STEP MERGE and PROC SQL JOIN to Combine SAS
When two tables are joined each row of table A is matched with all the rows of table B thereby creating a result table that is equal to the product of the
251-2012: Exploring DATA Step Merges and PROC SQL Joins
encouraged to explore these and other techniques to make your SAS® experience an exciting one. Example Tables. The data used in all the examples in this paper
Joining Tables Using SAS Enterprise Guide - SAS Support
PROC SQL; CREATE TABLE WORK QUERY_FOR_CUST_0000(label="QUERY_FOR_CUST") AS SELECT t1 CUST_ID t1 Acct_ID t1 Name t2 Type t2 AMT FROM WORK CUST t1 INNER JOIN WORK ACCT t2 ON (t1 Acct_ID = t2 Acct_ID); QUIT; ADDING THE JOIN TO THE WHERE CLAUSE But what if your data looks like this?- Account_2 Customer
251-2012: Exploring DATA Step Merges and PROC SQL Joins
Merging or joining two or more tables together is a relatively easy process in the SAS System The most reliable way to merge or join two or more tables together and to avoid creating a Cartesian product is to reduce the resulting set of data using one or more common columns
SAS - SQL - Tutorialspoint
ProcSQL Create Table Basic syntax: proc sql;create table new_SAS_dataset as /* select * for all columns/variables */ select column_1column_2from some_existing_dataset;quit; Although it says create table it is actually creating a SAS dataset PROC SQL terminates with a quit;statement (not run;) WHERE clause
178-2008: Joining Data: DATA Step Merge or SQL? - SAS Support
This paper will use two different sets of data to illustrate the join dynamics using data step MERGE and SQL JOIN The initial data is a small subset ( found in the Appendix A ) used to illustrate the effect of the various joins and merges The REPORTS section will use data of a more complex nature ( described immediately
SUGI 26: Merging Tables in DATA Step vs PROC SQL
using DATA Step and PROC SQL The paper shows strengths and weaknesses of both approaches in various types of merges and how and where to use them DATA Step is an easy convenient and safer approach for some types of merges but may not be efficient and powerful for some other types of data merges PROC SQL is more powerful for some types of
Searches related to sas proc sql create table join filetype:pdf
proc sql; create table final as select distinct * sex b ethnicity b firstrace from work patientlist a left join demo b on(a mrn=b primarymrn) ; quit; The macro variable can be easily generated and works in both implicit and explicit SQL pass-through connections to the external database
What is exactly the use SQL in SAS?
- SQL is one of the many languages built into the SAS® System. Using PROC SQL, the SAS user has access to a powerful data manipulation and query tool. Topics covered will include selecting, subsetting, sorting and grouping ... The syntax is exactly the same as using a PUT or INPUT function in data step code.
What is the main difference between SAS and SQL?
- What is the main difference between SAS and SQL? SQL has its roots in the world of relational databases whereas SAS was developed to manage and analyze “flat” files. For all intents and purposes, the following elements of the two languages are equivalent: Where clause SAS? The WHERE clause in SAS/IML.
How do I create table in SAS?
- Tools Create Table SAS The Create SAS Table/View window appears. In the Name field, type the name of the table or view. Use a two-level name in the form libref.table-name if you want to store the table or view permanently. Select Table or View. Table creates a SAS data file; View creates a PROC SQL view. Can you add a SAS dataset to a project?
ProcSQL, the Data Step Killer
Mike Atkinson
Acko Systems Consulting Inc
Data StepProcSQL
The Data Step
It's a complete programming languageEasy to combine (or merge) datasets It allows you to perform sequential algorithm steps Some algorithms require data to be in sorted order firstCan use values of variables from different observations, using retainIt has the ͞where" statement (stolen from SYL) that allows efficient use of filtering criteria prior to other processingThere are some things the data step can do that can't be done in ProcSQL, e.g.
Can create multiple datasets in one step
Can easily join multiple datasets -each left, right, or full outer join in a ProcSQL query can join only two datasets at a time (although inner joins without the join keyword can bring together any number)
ProcSQL
SQL is the de facto standard query language, widely used (beyond SAS even!) for retrieving and summarizing dataProcSQL can summarize results in the same step as performing row level calculations
without ProcSQL, summarizing requires a separate procsummary step, and often a pre-sortProcSQL can sort its results in the same step
It can perform distinct countsIt can use ͞like" edžpressionsWhile SYL isn't a complete programming language, it has ͞case" edžpressions, which can be ǀery powerful
Some stuff SAS ProcSQL can do
Sending (pass-through) queries to Oracle (or another DBMS) for processing, and receiving the results into a SAS dataset Administration tasks, such as managing SAS datasets and indexesUsing the SQL language against SAS datasets as an
alternative to the Data StepSetting values of macro variables
As an alternative to ProcPrint
Data step
Basic syntax:
data new_SAS_dataset; set some_existing_dataset; /* set some_existing_dataset(keep=column_1 column_2); to subset variables*/ * do stuff; run;ProcSQL Create Table
Basic syntax:
procsql; create table new_SAS_datasetas /* select * for all columns/variables*/ select column_1, column_2 from some_existing_dataset; quit; Although it says create table, it is actually creating a SAS dataset. PROC SQL terminates with a quit;statement (not run;).WHERE clause
Can be used in data step statement and within ProcSQL, including within a ͞case" edžpressionComparison operators
<, >, =, <=, >=, ^=or lt, gt, eq, le, ge, neLogic operators, brackets
and, or, note.g. ((a > b) and (not (c = d)))IN operator
in (values, separated, by, commas)WHERE clause ͞like"Θ ͞contains"
While the ͞in (list)" has made its way to the IF statement, ͞like" (and ͞contains") haǀe not; they are only in the WHEREThe syntax for CONTAINS is straightforward, e.g.
where name contains 'JONES'But I prefer LIKE, which is more powerful
percent sign (%) -match zero or more characters underscore (_) -match any one character e.g. where name like 'JONES%'ORDER BY clause
Not only does PROC SQL notrequire data to be sorted beforehand, but you can ask it to sort its resulting output simply by adding an ORDER BY clause The ORDER BY clause appears last, after the GROUP BY clause and the HAVING clause, if those are present The ORDER BY clause can be used on his own, without grouping The syntax of the ORDER BY clause is slightly different than the Data Step (and other Procs') BY statements; the BY statement separates ǀariables by spaces, while the ORDER BY separates them using commas.GROUP BY clause
The GROUP BY clause in ProcSQL lets you summarisedata (similar to Proc Summary) but without requiring the data to be sorted beforehand. The GROUP BY clause (if present) follows the WHERE clauseVariables in the GROUP BY are separated by commas
Using a GROUP BY statement does not guarantee the sort order of the results (although SAS is more likely to put the data into that order than Oracle is). Use an ORDER BY with a GROUP BY if you need to ensure the sort order of the data. Note: the variables in the ORDER BY clause need not match the variables in the GROUP BY clause.Summary functions
If you have a GROUP BY in your query, then every variable you select should either be listed in the GROUP BY, or be summarised in some way. If you select a variable that is not summarised and not listed in the GROUP BY clause, you will almost certainly not get the summarized results you expect.Here are some sample summary functions:
sum(services) as services, max(service_date) as max_servdt, mean(paid_amount) as avg_paidamt, count(distinct PHN) as patient_countHAVING Claus
The HAVING clause applies after the GROUP BY, WHEREasthe WHERE clause applies before grouping The HAVING clause looks at summarisedvalues, and cannot be used without a GROUP BY clause e.g. procsql; create table three_or_moreas select service_date, count(*) as record_count group by service_date having count(*) >= 3; quit;CASE expression
This is PROC SQL's closest equivalent to the IF statement. A CASE expression, however, can only return a single value. (an IF statement can use a do/end to to perform multiple actions) The CASE expression consists of a series of WHEN conditions (that use the same syntax as WHERE conditions), followed by ELSE. So it's really more like an IF THENͬELSE. Each WHEN condition is accompanied by a THEN expression that evaluates to a value. The CASE expression will use the THEN expression of the first WHEN condition that is found to be True. If none of the WHEN conditions are true, the ELSE expression will be used.It's good practice to always haǀe an ELSE.
CASE expression example
procsql; select case when age = 0 then ' 0 ' when age between 1 and 5 then ' 1-5' when age between 6 and 10 then ' 6-10' when age between 11 and 15 then '11-15' else '?????' end as age_group, count(distinct recipient_id) as person_cnt from health_services group by calculated age_group; quit;Aliases
When joining two or more tables, it is useful to use an alias for each table. The alias can be used as a prefix to variable names to indicate which table the variable comes from, which is handier than using the whole table name as a prefix. When a variable of the same name appears in more than one table (being joined using a ProcSQL select statement), you must specify which table you want to refer to each time you refer to the variable name. Prefixing variables with the table alias is the usual way to do this.LEFT JOIN, RIGHT JOIN
The default SQL join is an Inner Join, meaning that only rows that match across both tables are included LEFT JOIN and RIGHT JOIN in ProcSQL always operate on exactly two tables, and the order the tables are listed is very significant. Imagine writing them on the same line -the first dataset listed is the Left one, and the second is the Right dataset. When you use LEFT JOIN or RIGHT JOIN, you use the ON keyword (instead of the WHERE keyword) to indicate the join criteria. If you use the INNER JOIN syntax to perform an inner join, you will also need to use the ON keywordComparing Inner, Left, and Right joins
Here's some sample data in two datasets.
Student_IDName
34Gray, Jane
56Adams, Giselle
78Keppel, Len
Students
Grades
Student_IDSubjectGrade
34MathA
34EnglishB
56MathC+
99FrenchF
Inner Join (usual, without JOIN keyword)
procsql; create table after_inneras select a.*, b.* from students a, grades b where a.student_id= b.student_id order by a.student_id; quit; Note: This will give a note in the log that student_idalready exists in the dataset. Because student_idis the same in both datasets (guaranteed by the WHERE condition), this note can be safely ignored. aliasOkay, here's how you could rid of the note
(without listing all the columns you want) procsql; create table after_inner(drop=student_id2)as select a.*, b.* from students a, grades (rename=(student_id=student_id2))b where a.student_id= b.student_id2 order by a.student_id; quit; It's probably easier just to ignore the note in the log.Results of (default) Inner Join
Student_IDName
34Gray, Jane
56Adams, Giselle
78Keppel, Len
StudentsGrades
Student_IDSubjectGrade
34MathA
34EnglishB
56MathC+
99FrenchF
Student_IDNameSubjectGrade
34Gray, JaneMathA
34Gray, JaneEnglishB
56Adams, GiselleMathC+
After_Inner
Default
Inner Join
on student_idLEFT Join
procsql; create table after_leftas select a.*, b.* from students a left join grades b on a.student_id= b.student_id order by a.student_id; quit;Results of Left Join
Student_IDName
34Gray, Jane
56Adams, Giselle
78Keppel, Len
StudentsGrades
Student_IDSubjectGrade
34MathA
34EnglishB
56MathC+
99FrenchF
After_Left
Left Join
on student_idStudent_IDNameSubjectGrade
34Gray, JaneMathA
34Gray, JaneEnglishB
56Adams, GiselleMathC+
78Keppel, Len
RIGHT join
procsql; create table after_rightas select a.*, b.* from students a right join grades b on a.student_id= b.student_id order by a.student_id; quit;Results of Right Join
Student_IDName
34Gray, Jane
56Adams, Giselle
78Keppel, Len
StudentsGrades
Student_IDSubjectGrade
34MathA
34EnglishB
56MathC+
99FrenchF
After_Right
Right Join
on student_idStudent_IDNameSubjectGrade
34Gray, JaneMathA
34Gray, JaneEnglishB
56Adams, GiselleMathC+
FrenchF
FULL (Outer) join
procsql; create table after_fullas select coalesce(a.student_id, b.student_id) as student_id, a.name, b.subject, b.grade from students a full join grades b on a.student_id= b.student_id order by a.student_id; quit;Results of Full (Outer) Join
Student_IDName
34Gray, Jane
56Adams, Giselle
78Keppel, Len
StudentsGrades
Student_IDSubjectGrade
34MathA
34EnglishB
56MathC+
99FrenchF
After_Full
Full Join
on student_idStudent_IDNameSubjectGrade
34Gray, JaneMathA
34Gray, JaneEnglishB
56Adams, GiselleMathC+
78Keppel, Len
99FrenchF
27Traditional SAS Code
(Data Step needs helpers!) procsortdata=prac_info; byprac_lha; run; procsummarydata=prac_info; byprac_lha; outputout=prac_lha_counts (drop=_type_ rename=(_freq_=prac_cnt)); run; 28ProcSYL doing a ͞summary"
procsql; createtableprac_lha_countsas selectprac_lha, count(*) asprac_cnt fromprac_info group byprac_lha order by prac_lha; quit;Calculated keyword in ProcSQL
The keyword ͞calculated" can be used to refer to a column being created within a ProcSQL query by name, in a reference later within the same query. It can be used to reference a calculated column within the GROUP BY expression, or even in expressions to create other columns.There is no abbreǀiation for ͞calculated".
30Traditional SAS Code
summarize and lookup a description procsortdata=fitm_servcd; byservcd; run; procsummarydata=fitm_servcd; byservcd; outputout=servcd_fitm_cnts_0 (drop=_type_ rename=(_freq_=fitm_cnt)); run; dataservcd_fitm_cnts; setservcd_fitm_cnts_0; servcd_descrip= put(servcd, svcd2ds.); run; 31Proc SQL Code
procsql; createtableservcd_fitm_cntsas selectservcd, put(servcd, svcd2ds.) asservcd_descrip, count(*) asfitm_cnt fromfitm_servcd group byservcd, calculated servcd_descrip orderbyservcd; quit; 33ProcSQL Code
with join procsql; createtableservcd_fitm_cntsas selecta.servcd, b.servcd_descrip, count(*) asfitm_cnt fromfitm_servcda leftjoin service_codesb ona.servcd= b.servcd groupbya.servcd, b.servcd_descrip orderby1, 2; quit;Select desired observations
using a Data Step %letstartdt_sas= '01apr2012'd; %letenddt_sas= '31mar2013'd; datadata_centres_2; setdata_centres; whereefctvdt<= &enddt_sas and cncldt>= &startdt_sas and dt_cntr_statusin ('D', 'P') and dt_cntr_typein ('C', 'P') and not ( ' '|| dt_cntr_nm|| ' 'like '% HOLDINGS %'or ' '|| dt_cntr_nm|| ' 'like '% HOSP%'or ' '|| dt_cntr_nm|| ' 'like '%SYS%'); run; procsql; createtabledata_centres_with_flagsas selectefctvdt, cncldt, dt_cntr_status, dt_cntr_type, casewhen(efctvdt> &enddt_sas) or (cncldt< &startdt_sas) then'1. Outside date range' when(dt_cntr_statusnotin('D', 'P')) then'2. Status not D or P' when(dt_cntr_typenotin('C', 'P')) then'3. Type not C or P' when(' '|| dt_cntr_nm|| ' 'like'% HOLDINGS %' or' '|| dt_cntr_nm|| ' 'like'% HOSP%' or' '|| dt_cntr_nm|| ' 'like'%SYS%') then'4. Computing type' else' 'endaserror_type fromdata_centres; quit;Informative report
procfreqdata=data_centres_with_flags; tableserror_type/ missing; run;Getting the goods, either way
procsql; createtabledata_centres_2 as select* fromdata_centres_with_flags whereerror_typeisnull; quit; or datadata_centres_2; setdata_centres_with_flags; whereerror_typeis null; run;Distinct keyword
If ͞distinct" appears as in ͞select distinct", it applies to all selected columns, and is basically the same as using PROCSORT with NODUP. e.g.
select distinct provider, patient, service_date Distinct can also appear within a count summary function. e.g. count(distinct provider) as uniq_prac_cnt, count(*) as record_cnt, count(provider) as cnt_recs_w_providerDemonstration of calculated
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