MacLochlainns Weblog

Michael McLaughlin's Technical Blog

Site Admin

Archive for the ‘MySQL’ Category

OOW2010 – Day 4

without comments

The last day of Oracle Open World 2010. My focus today was on attending OracleDevelop and JavaOne.

The weather picked up today and it was a nice warm Indian Summer day. There were lots of tourists out too. The photo is taken of the building where you board the Powell Street cable car. There was a lot of walking with the way the events are dispersed among the Moscone South, Moscone West, Marriott Hotel, Westin Hotel, Hilton Hotel, W Hotel, and Hotel Nikko. I can’t quite remember how many times I walked back and forth across the 6 blocks between the Moscone centers and Union Square hotels. I can tell you that we went only twice to Mel’s Drive-in.

It was amazing to see how quickly the various conference expedition centers shutdown, packed up, and had their materials shipped out. We had to step over all the plywood that protected tiles and carpets to attend events.

Day 4 also brought a smaller audience for venues. I’m not quite sure if they left earlier or slept in because they were out too late last night attending the Wednesday night event on Treasure Island. The reduced number of attendees was great for those of us who remained. You can see how few attended the .NET/Oracle hands-on lab in the Hilton, which made finding a nice spot easy. You can find the .NET/Oracle hands-on tutorial materials on the Oracle Technical site.

If you opt to use the tutorials, you may benefit from these hints. You should be able to avoid some of the issues that I ran into when working through the open labs. First, you should expand the Microsoft Studio to full screen. Second, you should look for context pop-ups attached to a small arrow at the top right corner of grids, et cetera. Lastly, there are a few small mistakes that you’ll need to work through. Look at the errors as an opportunity to think and experiment and they’re great basic .NET/Oracle tutorials.

Oracle Open World 2010 is done. Time to review the keynotes for those things that I missed while listening to them, and consider the new role of Tuxedo in the life of Oracle’s product stack. It’s also time to download and play with the MySQL 5.5 candidate release; and it’s time to kick off my shoes, put up my feet, and play with the technology again.

Tomorrow I turn my fate over to the airlines, and hope to arrive home on schedule.

Written by maclochlainn

September 24th, 2010 at 1:25 am

Posted in .NET,MySQL,Oracle

MySQL Sunday

without comments

The merry-go-round is running and Oracle Open World 2010 has begun with MySQL Sunday. The merry-go-round is a fixture at the northwest corner of the Moscone South building, at the intersection shared between the Moscone North building.

The keynote was interesting because Oracle confirmed that they have and will continue to invest in MySQL. The MySQL 5.5 Candidate Release is now available for download. Key features that you’ll note are 200% to 300% improved performance, the InnoDB is now the default engine, backup and recovery are dramatically improved, and the enterprise model is integrated to provide more information about internals and performance.

A little research for the comprehensive new feature list for MySQL 5.5 found a well documented page in the MySQL 5.5 Reference. Examples of things left out of the presentation, not an inclusive list of all features, are: improved operation on the Solaris platform (surprise ;-)), support for semisynchronous replication, support for SQL standard SIGNAL and RESIGNAL statements, support for Unicode character sets, a LOAD XML statement, expanded partitioning options – including the ability to truncate only a partition of a table, and may new command options.

Ronald Bradford gave a good presentation on MySQL idiosyncrasies. I thought spelling out behaviors common to Windows and Mac platforms that differ from Linux and Unix platforms was great. He’s got a new book that he co-authored on MySQL and PHP. I’ve look into the book yet.

I also enjoyed Giuseppe Maxia’s presentation on partitioning. His regular web site is here, but beware if you’ve a slow web connection because the photos delay page loading. 😉

Update on MySQL Sunday

Here are some links provided by Oracle to presentations:

  • Edward Screven’s presentation
  • Live Webinar: “Delivering Scalability and High Availability with MySQL 5.5 Replication Enhancements

Written by maclochlainn

September 19th, 2010 at 2:30 pm

Posted in InnoDB,LAMP,MAMP,MySQL

Bioinformatics Conference

without comments

This week I attended the first ACM conference on Bioinformatics and Computational Biology in Niagara Falls, NY. The next conference is in Rome next January. It was interesting to note who’s using what technology in their research.

Here’s a breakdown:

  • Databases: MySQL is the de facto winner for research. Oracle for clinical systems, mostly Oracle 10g implementations. That means moving data between the two is a critical skill. Specifically, exporting data from Oracle and importing it into MySQL. Oracle was criticized for being a DBA-preserve and unfriendly to development. When I probed this trend, it seemed to point to DBAs over managing sandbox instances at companies with site licenses. Microsoft SQL Server didn’t find a lot of popularity in the research community.
  • Programming Skills: C#, C++, Objective-C and PHP were high on the list. C# to import data into Microsoft SharePoint and develop Windows SmartPhones. C++ to extend MySQL. Objective-C to develop iPhone and iPad applications. PHP to build applications to manage studies and facilitate input, but there were a couple using Perl (not many).
  • Collaboration Tools: Microsoft SharePoint won handily. It’s made a home in the clinical and research communities.

Overall, they want programmers who understand biology and chemistry. They’d like knowledge through Medical Microbiology and Introductory Biochemistry, and they want strong math and statistical knowledge in their programming staff. They like Scrum development frameworks. They seem to emphasize a chief engineering team, which means the developers get maximum face-time with the domain experts. The developers also have to speak and walk the talk of science to be very successful.

As to Niagara Falls, I’m glad that I took my passport. The Canadian side is where I spent most of my extra time and money. It has the best views of the falls, the best food, and ambiance. Goat Island and the Cave of the Winds are the only two features I really liked on the U.S. side of Niagara Falls. The U.S. side is dreary unless you like gambling in the Seneca Niagara Casino & Hotel. Since I’m originally from Nevada, I never entered it to check it out. Technically, when you step on the casino property you enter the Seneca Nation of New York. The New York state government in Albany really needs to address the imbalance or they’ll continue to see Canada score the preponderance of tourist dollars.

Written by maclochlainn

August 6th, 2010 at 11:31 pm

Posted in C,MySQL,Objective-C,Oracle,PHP

Tagged with ,

MySQL, XSLT & Xalan Queries

without comments

I posted how to connect to an Oracle database from an XSLT library file back in August 2008. It’s an event driven XML approach that can support web page development. One of my students wanted to do the same thing against MySQL. He quickly saw that it was simply a matter of the switching the JDBC library. He’s got the whole idea bundled on his blog here.

XSLT Library File to Query MySQL Database ↓

Unfold this if you’d like to see the XLST code he’s posted on his blog for MySQL. You’ll find that only line #10 (below) required a change. If you’re new to XSLT, you may find Doug Tidwell’s XSLT, 2nd Edition book very helpful. 

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36

<?xml version="1.0"?>
<xsl:stylesheet version="1.0"
  xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
  xmlns:sql="org.apache.xalan.lib.sql.XConnection"
  extension-element-prefixes="sql">
<xsl:output method="html" />
<xsl:template match="/">
<xsl:variable
  name="movies"
  select="sql:new('com.mysql.jdbc.Driver','jdbc:mysql:///storedb','student','student')" />
<xsl:variable name="streaming" select="sql:disableStreamingMode($movies)" />
<xsl:variable
  name="queryResults"
  select="sql:query($movies,'SELECT i.item_title, i.item_asin, i.item_release_date FROM storedb.item i')" />
<html>
<head><title>MySQL Result Set</title></head>
<body style="font-family: sans-serif;">
<table border="1" cellpadding="5">
  <tr>
    <xsl:for-each select="$queryResults/sql/metadata/column-header">
      <th><xsl:value-of select="@column-label" /></th>
    </xsl:for-each>
  </tr>
  <xsl:apply-templates select="$queryResults/sql/row-set/row" />
</table>
</body>
</html>
<xsl:value-of select="sql:close($movies)" />
</xsl:template>
<xsl:template match="row">
  <tr><xsl:apply-templates select="col" /></tr>
</xsl:template>
<xsl:template match="col">
  <td><xsl:value-of select="text()" /></td>
</xsl:template>
</xsl:stylesheet>

Hope this helps those looking for a solution.

Written by maclochlainn

July 9th, 2010 at 10:55 pm

Posted in Java,MySQL,xml,xslt

Correlated Update Statement

without comments

My students wanted some additional examples on correlated update statements. I’ve been struggling with what the right way may be to illustrate them.

Correlated subqueries are a hard concept to explain to those new to SQL. While correlated update statements seem impossibly obscure to many or inordinately complex. New SQL developers often flee to the comfort of procedural programs when it comes to update statements.

This uses my video store data model. It’s a correlated update statement to clean up potential corrupt data. More or less something a DBA might run to ensure a business rule hasn’t been violated over time. It checks for the correct foreign key value in a table when a dependent table contains one or more than one row of data.

The aqua-green box highlights a subquery that aggregates foreign key columns and groups the result with the foreign key value. The results from this subquery become a run-time view or derived table. The result set is a foreign key value and a substitute string literal value for each row in the contact table. These results correlate to the update statement’s rows based on the input parameter. The input parameter is a column from each updated row.

A unique key (or check constraint) exists on the combination of the common_lookup_table, common_lookup_column, and common_lookup_type columns. This ensures that only one row is returned and assigned to the member_type column in the member table. The update statement naturally works in either Oracle or MySQL without any porting changes.

Correlated Update Statement ↓

Expand this section to see the clear text for the foregoing image.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16

UPDATE member m
SET    member_type =
 (SELECT common_lookup_id
  FROM   common_lookup
  WHERE  common_lookup_table = 'MEMBER'
  AND    common_lookup_column = 'MEMBER_TYPE'           
  AND    common_lookup_type =
          (SELECT  dt.member_type
           FROM   (SELECT   c.member_id
                   ,        CASE
                              WHEN COUNT(c.member_id) > 1 THEN 'GROUP'
                              ELSE 'INDIVIDUAL'
                            END AS member_type
                   FROM     contact c
                   GROUP BY c.member_id) dt
           WHERE   dt.member_id = m.member_id));

While this type of solution is powerful in its own right, I thought it might be interesting to see their procedural equivalents. These correlated subqueries run for each row returned by the master query (or outermost statement). Therefore, they act like functions.

Procedural equivalents (or user-defined functions) simplify the update statement like so:

UPDATE member m
SET    member_type = get_member_type(m.member_id);

If you’re interested in seeing how you would implement this solution in a user-defined function, just expand the dropdown that interest you.

Oracle User-Defined Function (UDF) ↓

Expand this section to see how to map this logic to a PL/SQL schema-level function.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50

CREATE OR REPLACE FUNCTION get_member_type
(pv_member_id NUMBER) RETURN NUMBER IS
 
  -- Define a collection of strings.
  TYPE type_options IS TABLE OF VARCHAR2(10);
 
  -- Declare local variables.
  lv_dependent NUMBER := 1;
  lv_return_id NUMBER;
 
  -- Declare a local variable of the collection.
  lv_member_type TYPE_OPTIONS := type_options('INDIVIDUAL','GROUP');
 
  -- Define a dynamic cursor to count the number of foreign key values. 
  CURSOR count_contact (cv_member_id NUMBER) IS
    SELECT COUNT(c.member_id)
    FROM   contact c
    WHERE  c.member_id = cv_member_id;
 
  -- Define a dynamic cursor to find a key for an individual or group member type.    
  CURSOR get_lookup_id (cv_type VARCHAR2) IS
    SELECT common_lookup_id
    FROM   common_lookup
    WHERE  common_lookup_context = 'MEMBER'
    AND    common_lookup_type = cv_type;
 
BEGIN
 
  -- Get the number of foreign key values for a contact.
  OPEN  count_contact(pv_member_id);
  FETCH count_contact
  INTO  lv_dependent;
  CLOSE count_contact;
 
  -- Open the dynamic cursor with the required value.  
  IF lv_dependent = 1 THEN
    OPEN get_lookup_id(lv_member_type(1));
  ELSE
    OPEN get_lookup_id(lv_member_type(2));
  END IF;
 
  -- Get the correct surrogate primary key value.
  FETCH get_lookup_id
  INTO  lv_return_id;
  CLOSE get_lookup_id;
 
  -- Return the correct primary key for use as a foreign key.
  RETURN lv_return_id;
END;
/

MySQL User-Defined Function (UDF) ↓

Expand this section to see how to map this logic to a Persistent Stored Module (PSM) function.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56

SELECT 'DROP FUNCTION IF EXISTS get_member_type' AS "Statement";
DROP FUNCTION IF EXISTS get_member_type;
 
SELECT 'DELIMITER $$' AS "Statement";
DELIMITER $$
 
SELECT 'CREATE FUNCTION get_member_type' AS "Statement"$$
CREATE FUNCTION get_member_type(pv_member_id INT) RETURNS INT 
BEGIN
 
  /* Define three local variables. */
  DECLARE lv_contact_number  INT;
  DECLARE lv_member_type     CHAR(30);
  DECLARE lv_return_value    INT;
 
  /* Define a dynamic cursor to count the number of foreign key values. */  
  DECLARE contact_cursor CURSOR FOR
    SELECT COUNT(c.member_id)
    FROM   contact c
    WHERE  c.member_id = pv_member_id;
 
  /* Define a dynamic cursor to find a key for an individual or group member type. */
  DECLARE common_lookup_cursor CURSOR FOR
    SELECT common_lookup_id
    FROM   common_lookup
    WHERE  common_lookup_table = 'MEMBER'
    AND    common_lookup_column = 'MEMBER_TYPE'           
    AND    common_lookup_type = lv_member_type;
 
  /* Get the number of foreign key values for a contact. */    
  OPEN  contact_cursor;
  FETCH contact_cursor
  INTO  lv_contact_number;
  CLOSE contact_cursor;
 
  /* Assign group membership when more than one foreign key value is found; and
     assign individual membership when only one foreign key value is found. */  
  IF lv_contact_number > 1 THEN
    SET lv_member_type = 'GROUP';
  ELSE
    SET lv_member_type = 'INDIVIDUAL';
  END IF;
 
  /* Get the correct surrogate primary key value. */  
  OPEN  common_lookup_cursor;
  FETCH common_lookup_cursor
  INTO  lv_return_value;
  CLOSE common_lookup_cursor;
 
  /* Return the correct primary key for use as a foreign key. */  
  RETURN lv_return_value;
END;
$$
 
SELECT 'DELIMITER $$' AS "Statement"$$
DELIMITER ;

You can query the results of the update statement with the following.

Change Confirmation Query ↓

Expand this section to see the query that lets you examine the changes. It runs in either Oracle or MySQL without any changes.

1
2
3
4
5
6
7
8
9
10
11

SELECT   m.member_id
,        dt.quantity
,        m.member_type
,        cl.common_lookup_type
FROM     member m JOIN (SELECT   member_id
                        ,        COUNT(c.member_id) AS quantity
                        FROM     contact c
                        GROUP BY c.member_id) dt
ON       m.member_id = dt.member_id JOIN common_lookup cl
ON       m.member_type = cl.common_lookup_id
ORDER BY m.member_id;

As always, I look forward to helping and gaining insight.

Written by maclochlainn

June 27th, 2010 at 10:12 pm

Posted in MySQL,Oracle,Oracle XE,Persistent Stored Modules,pl/sql,PSM,sql

Debugging MySQL Functions

with 4 comments

Somebody, who read this post on Debugging MySQL Procedures, asked why the strategy of selecting a string literal didn’t work in a MySQL function. That’s easy, they’re not designed to support a SELECT statement, only a SELECT-INTO statement.

Why? That’s the purpose of a function to perform something and return a single reply.

That’s also why a MySQL functions only support the IN mode of operation for formal and call parameters. When formal parameters are restricted to in-mode-only operations, they implement a pass-by-value function model. This can also be expressed from the other side of the looking glass. In that case, MySQL functions don’t support pass-by-reference functions that use the INOUT or OUT mode operations.

If you put a SELECT statement in a function to print internal values or comments, it raises an error. Take for example the following attempt to create the debugging function with an echo of output (that works in stored procedures).

CREATE FUNCTION debugger() RETURNS INT
BEGIN
  SELECT '[Debug #1]';
  RETURN 1;
END;
$$

It fails to create the function because you’ve violated a key integrity rule. It also raises the following error:

ERROR 1415 (0A000): Not allowed to return a result set from a function

You have two potential solutions to this problem. The first is limited and inflexible. The second isn’t as limited or inflexible and is the recommended way to debug your functions without a tool. That’s to use a temporary table to record run-time debugging events.

Session Variable Debugging ↓

Expand this section to see the steps for debugging functions with session variables.

  1. Create two session level variables, like these:
SET @counter := 0;
SET @msg := '';
  1. Create a function that uses the SELECT-INTO statement to collect and store debugging information during function execution.
CREATE FUNCTION debugger() RETURNS INT
BEGIN
  SELECT @counter + 1 INTO @counter;
  SELECT CONCAT('[Debug #',@counter,']') INTO @msg;
  RETURN 1;
END;
$$
  1. Run the function and then query the session variable for results
SELECT debugger();
SELECT @msg;

You’ll see the following text:

+------------+
| @msg       |
+------------+
| [Debug #1] |
+------------+

Temporary Table Debugging ↓

Expand this section to see the steps for debugging functions with session variables.

  1. Only when you want a counter, create one session level variables.
SET @counter := 0;
  1. Create an in-memory table to store debugging information from function execution.
CREATE TABLE debugger
( debug_comment CHAR(80)) ENGINE=MEMORY;
  1. Create a function that supports inserts into the in-memory table. Naturally, you may need to make the columns larger when your debugging results are large. I’ve found that 80 characters is generally adequate for most debugging exercises.
1
2
3
4
5
6
7

CREATE FUNCTION debugger() RETURNS INT
BEGIN
  SELECT @counter + 1 INTO @counter;
  INSERT INTO debugger VALUES (CONCAT('[Debug #',@counter,']'));
  RETURN 1;
END;
$$
  1. Call the function and query the debugging results.
SELECT debugger();
SELECT debugger();
SELECT debugger();
SELECT debug_comment FROM debugger;

You’ll see the following text:

+---------------+
| debug_comment |
+---------------+
| [Debug #1]    |
| [Debug #2]    |
| [Debug #3]    |
+---------------+

Complete Code Sample ↓

Expand this section to see the sample working code for all examples.

This script creates, runs, and tests the code from the above discussions.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76

-- Conditionally drop the function when it exists.
DROP FUNCTION IF EXISTS debugger;
 
-- Set delimiter to create a function with semicolon statment terminators.
DELIMITER $$
 
-- Create a function that returns 1.
CREATE FUNCTION debugger() RETURNS INT
BEGIN
  SELECT '[Debug #1]';
  RETURN 1;
END;
$$
 
-- Reset the delimiter to enable normal execution.
DELIMITER ;
 
-- Declare session level variables.
SET @counter := 0;
SET @msg := '';
 
-- Conditionally drop the function when it exists.
DROP FUNCTION IF EXISTS debugger;
 
-- Set delimiter to create a function with semicolon statment terminators.
DELIMITER $$
 
-- Create a function that writes to local session variables.
CREATE FUNCTION debugger() RETURNS INT
BEGIN
  SELECT @counter + 1 INTO @counter;
  SELECT CONCAT('[Debug #',@counter,']') INTO @msg;
  RETURN 1;
END;
$$
 
-- Reset the delimiter to enable normal execution.
DELIMITER ;
 
-- Test the function code and read the session-level variable contents.
SELECT debugger();
SELECT @msg;
 
-- Declare a session level variable.
SET @counter := 0;
 
-- Conditionally drop the function when it exists.
DROP TABLE IF EXISTS debugger;
 
-- Create a temporary (in-memory) table to record debugging information.
CREATE TABLE debugger
( debug_comment CHAR(80)) ENGINE=MEMORY;
 
-- Conditionally drop the function when it exists.
DROP FUNCTION IF EXISTS debugger;
 
-- Set delimiter to create a function with semicolon statment terminators.
DELIMITER $$
 
-- Create a function that writes to a debugging table.
CREATE FUNCTION debugger() RETURNS INT
BEGIN
  SELECT @counter + 1 INTO @counter;
  INSERT INTO debugger VALUES (CONCAT('[Debug #',@counter,']'));
  RETURN 1;
END;
$$
 
-- Reset the delimiter to enable normal execution.
DELIMITER ;
 
-- Test the function code and read the session-level variable contents.
SELECT debugger();
SELECT debugger();
SELECT debugger();
SELECT debug_comment FROM debugger;

Written by maclochlainn

June 26th, 2010 at 6:51 pm

Posted in MySQL,Persistent Stored Modules,pl/sql,PSM,sql,Stored Procedures

Tagged with ,

MySQL Timestamp to Date?

with 3 comments

One of my ex-students asked for an example of converting a DATETIME column into a DATE data type in MySQL. He’d tried a few approaches and hadn’t been successful. It’s best to use the DATE function to convert a DATETIME to a DATE in MySQL.

  1. Create a sample TIMECLOCK table.
DROP TABLE IF EXISTS timeclock;
 
CREATE TABLE TIMECLOCK
( timeclock_id  INT UNSIGNED AUTO_INCREMENT PRIMARY KEY
, timein        datetime
, timeout       datetime);
  1. Insert two rows with values in the TIMEIN column.
-- Insert two rows with automatic numbering and only a "time in" value.
INSERT INTO timeclock
( timein )
VALUES
(NOW()),(NOW());
  1. Update the previously inserted rows with values in the TIMEOUT column. The first UPDATE statement inserts a UTC date into the DATETIME column. That date is a time stamp of of the next day at 12:00 A.M. in the morning. The second UPDATE statement updates the TIMEOUT column with a current time stamp plus 4 hours, thirty-two minutes, and thirty-three seconds. Then, the code segment queries the results.
-- Update with tomorrow's future date at 12:00 A.M..
UPDATE timeclock
SET    timeout = ADDDATE(DATE(NOW()), INTERVAL 1 DAY)
WHERE  timeclock_id = 1;
 
-- Update with a timestamp 4 hours, thirty-two minutes, and thirty-three seconds in the future.
UPDATE timeclock
SET    timeout = ADDTIME(NOW(), '4:32:33')
WHERE  timeclock_id = 2;
 
-- Query the value sets.
SELECT timein, timeout FROM timeclock;

This returns:

+---------------------+---------------------+
| timein              | timeout             |
+---------------------+---------------------+
| 2010-06-18 16:16:08 | 2010-06-19 00:00:00 |
| 2010-06-18 16:16:08 | 2010-06-18 20:48:42 |
+---------------------+---------------------+
2 rows in set (0.00 sec)
  1. Query the differences of the timestamps as dates and times. The DATE function lets you convert a DATETIME into a DATE data type. Then, the DATEDIFF calculates the difference and returns an integer result (the interval of days). You calculate the time difference by using the TIMEDIFF function.
-- Query the difference in intervals of days.
SELECT DATE(timeout) AS dateout
,      DATE(timein) AS datein
,      DATEDIFF(DATE(timeout),DATE(timein))
FROM timeclock;
 
-- Query the difference in intervals of time.
SELECT timeout
,      timein
,      TIMEDIFF(timeout,timein)
FROM   timeclock;

These return:

+------------+------------+--------------------------------------+
| dateout    | datein     | DATEDIFF(DATE(timeout),DATE(timein)) |
+------------+------------+--------------------------------------+
| 2010-06-19 | 2010-06-18 |                                    1 |
| 2010-06-18 | 2010-06-18 |                                    0 |
+------------+------------+--------------------------------------+
2 rows in set (0.00 sec)
 
+---------------------+---------------------+--------------------------+
| timeout             | timein              | TIMEDIFF(timeout,timein) |
+---------------------+---------------------+--------------------------+
| 2010-06-19 00:00:00 | 2010-06-18 16:16:08 | 07:43:52                 |
| 2010-06-18 20:48:42 | 2010-06-18 16:16:08 | 04:32:34                 |
+---------------------+---------------------+--------------------------+
2 rows in set (0.00 sec)

You can also use:

SELECT CAST(timein AS DATE)
,      CAST(timeout AS DATE)
FROM   timeclock;

Hope this helps the one who asked how and anybody else who runs across it.

Written by maclochlainn

June 18th, 2010 at 5:48 pm

Posted in MySQL,sql

A \G Option for Oracle?

with 7 comments

The \G option in MySQL lets you display rows of data as sets with the columns on the left and the data on the write. I figured it would be fun to write those for Oracle when somebody pointed out that they weren’t out there in cyberspace (first page of a Google search ;-)).

I started the program with a student’s code. I thought it a bit advanced for the student but didn’t check if he’d snagged it somewhere. Thanks to Niall Litchfield, I now know that the base code came from an earlier post of Tom Kyte. Tom’s example code failed when returning a Blob, BFile, or CFile column.

Naturally, there are two ways to write this. One is a procedure and the other is the function. This post contains both. The procedure is limited because of potential buffer overflows associated with the DBMS_OUTPUT package’s display. A function isn’t limited because you can return a collection from the function.

Required setup to use the DBMS_SQL package ↓

The DBMS_SQL package requires permissions. There are two ways to provide those permissions. One is more secure and sensible in a production system and the other is great in a development test system.

Production or Test System

If this is a production system, you probably want to grant permissions only to the SYSTEM schema. This follows the practice of narrowing access to powerful features and control systems.

The first step requires the SYS user to grant permissions and authority to re-grant to individual users. You connect as the privileged user, like:

sqlplus / AS sysdba

When connected as the SYS, you run the following two commands:

GRANT EXECUTE ON dbms_sys_sql TO system;
GRANT EXECUTE ON dbms_sql TO system;

You should then define the procedure or function as a CURRENT_USER module. This type of module is known as an invoker’s right program. The code is owned by the SYSTEM schema but you run it on your own objects in your less privileged schema.

You can do that by replacing the function and procedure headers with these:

CREATE OR REPLACE PROCEDURE display_vertical
( TABLE_NAME VARCHAR2, where_clause VARCHAR2 ) AUTHID CURRENT_USER IS
CREATE OR REPLACE FUNCTION vertical_query
( TABLE_NAME VARCHAR2, where_clause VARCHAR2 ) RETURN query_result
AUTHID CURRENT_USER IS

After you compile the procedure and function in the SYSTEM schema, you should grant access to a schema (more restricted) or public (as generic tools). You should also create synonyms. The following commands assume you want to deploy these as generic tools. As the SYSTEM user, it grants privileges and then creates public synonyms.

-- Grant privileges.
GRANT EXECUTE ON display_vertical TO PUBLIC;
GRANT EXECUTE ON vertical_query TO PUBLIC;
 
-- Create public synonyms.
CREATE PUBLIC SYNONYM display_vertical FOR system.display_vertical;
CREATE PUBLIC SYNONYM vertical_query FOR system.vertical_query;

You should now be able to call these from any schema to work with their own tables and views.

Student Development System

If this is a test system and you’re new to Oracle, the following should help you. This shows you how to implement these in a Definer’s right model, inside a STUDENT schema.

This isn’t a secure design, but it allows you to keep your testing limited to a STUDENT schema. When these permissions aren’t granted the examples won’t work at all.

The first step requires the SYS user to grant permissions and authority to re-grant to individual users. You connect as the privileged user, like:

sqlplus / AS sysdba

When connected as the SYS, you run the following two commands:

GRANT EXECUTE ON dbms_sys_sql TO system WITH GRANT OPTION;
GRANT EXECUTE ON dbms_sql TO system WITH GRANT OPTION;

You don’t have to exit to reconnect as the SYSTEM user. Just type the following at the SQL command prompt (substitute your password ;-)).

CONNECT system/password

When connected as the SYSTEM user, you run the following two commands:

GRANT EXECUTE ON dbms_sys_sql TO student;
GRANT EXECUTE ON dbms_sql TO student;

You should now be able to compile the function and procedure.

Procedure for \G output ↓

The procedure nice because there’s only a dependency on the buffer size for the DBMS_OUTPUT package. The procedure only returns column values that are printable at the console, and it only returns the first 40 characters of long text strings.

Here’s the procedure definition:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182

-- Create procedure.
CREATE OR REPLACE PROCEDURE display_vertical
( TABLE_NAME VARCHAR2, where_clause VARCHAR2 ) IS
 
  -- Open a cursor for a query against all columns in a table. 
  base_stmt  INTEGER := dbms_sql.open_cursor;
 
  -- Open a cursor for a dynamically constructed query, which excludes
  -- any non-displayable columns with text.
  stmt  INTEGER := dbms_sql.open_cursor;
 
  -- Declare local variables.
  colValue   VARCHAR2(4000);      -- Declare a maximum string length for column values.
  STATUS     INTEGER;             -- Declare a variable to hold acknowledgement of DBMS_SQL.EXECUTE
  tableDesc  dbms_sql.desc_tab2;  -- Declare a table to hold metadata for the queries.
  colCount   NUMBER;              -- Declare a variable for the column count.
  rowIndex   NUMBER := 0;         -- for displaying the row number retrieved from the cursor
  colLength  NUMBER := 0;         -- for keeping track of the length of the longest column name
 
  -- Declare local variable for the dynamically constructed query.
  dynamic_stmt VARCHAR2(4000) := 'SELECT ';
 
  -- Declare an exception for a bad table name, raised by a call to
  -- the dbms_assert.qualified_sql_name function.
  table_name_error EXCEPTION;
  PRAGMA EXCEPTION_INIT(table_name_error, -942);
 
  -- Declare exception handlers for bad WHERE clause statements.
 
  -- Declare an exception for a missing WHERE keyword.
  missing_keyword EXCEPTION;
  PRAGMA EXCEPTION_INIT(missing_keyword, -933);  
 
  -- Declare an exception for a bad relational operator.
  invalid_relational_operator EXCEPTION;
  PRAGMA EXCEPTION_INIT(invalid_relational_operator, -920);  
 
  -- Declare an exception for a bad column name.
  invalid_identifier EXCEPTION;
  PRAGMA EXCEPTION_INIT(invalid_identifier, -904);  
 
  -- Declare an exception for a missing backquoted apostrophe.
  misquoted_string EXCEPTION;
  PRAGMA EXCEPTION_INIT(misquoted_string, -1756);  
 
  -- Declare a function that replaces non-displayable values with text messages.
  FUNCTION check_column( p_name   VARCHAR2
                       , p_type   NUMBER ) RETURN VARCHAR2 IS
 
    -- Return column name or literal value.
    retval VARCHAR2(30);			   
 
  BEGIN
 
    -- Find strings, numbers, dates, timestamps, rowids and replace non-display values.
    IF p_type IN (1,2,8,9,12,69,96,100,101,112,178,179,180,181,231) THEN
 
      -- Assign the column name for a displayable column value.
      retval := p_name;
 
    ELSE
 
      -- Re-assign string literals for column names where values aren't displayable.      
      SELECT DECODE(p_type, 23,'''RAW not displayable.'''
                          ,105,'''MLSLABEL not displayable.'''
                          ,106,'''MLSLABEL not displayable.'''
                          ,113,'''BLOB not displayable.'''
                          ,114,'''BFILE not displayable.'''
                          ,115,'''CFILE not displayable.'''
                          ,'''UNDEFINED not displayable.''')
      INTO retval
      FROM dual;
 
    END IF;
 
    -- Return the column name or a apostrophe delimited string literal.
    RETURN retval;
  END check_column;
 
BEGIN
 
  -- Prepare unfiltered display cursor.
  dbms_sql.parse(base_stmt, 'SELECT * FROM ' || dbms_assert.simple_sql_name(TABLE_NAME) || ' ' || where_clause, dbms_sql.native);
 
  -- Describe the table structure:
  -- --------------------------------------------------------
  --  1. Store metadata in tableDesc
  --  2. Store the number of columns in colCount
  -- --------------------------------------------------------
  dbms_sql.describe_columns2(base_stmt, colCount, tableDesc);
 
  -- Define individual columns and assign value to colValue variable.
  FOR i IN 1..colCount LOOP
 
    -- Define columns for each column returned into tableDesc.
    dbms_sql.define_column(base_stmt, i, colValue, 4000);
 
    -- Find the length of the longest column name.
    IF LENGTH(tableDesc(i).col_name) > colLength THEN
      colLength := LENGTH(tableDesc(i).col_name);
    END IF;
 
    -- Replace non-displayable column values with displayable values.
    IF i < colCount THEN
      dynamic_stmt := dynamic_stmt || check_column(tableDesc(i).col_name,tableDesc(i).col_type) || ' AS '
                   || tableDesc(i).col_name || ', ';
    ELSE
      dynamic_stmt := dynamic_stmt || check_column(tableDesc(i).col_name,tableDesc(i).col_type) || ' AS '
                   || tableDesc(i).col_name || ' ' || 'FROM ' || dbms_assert.simple_sql_name(TABLE_NAME)
                   || ' ' || where_clause;
    END IF;
 
  END LOOP;
 
  -- Provide conditional debugging instruction that displays dynamically created query.
  $IF $$DEBUG = 1 $THEN
     dbms_output.put_line(dynamic_stmt);
  $END
 
  -- Prepare unfiltered display cursor. 
  dbms_sql.parse(stmt, dynamic_stmt, dbms_sql.native);
 
  -- Describe the table structure:
  -- --------------------------------------------------------
  --  1. Store metadata in tableDesc (reuse of existing variable)
  --  2. Store the number of columns in colCount
  -- --------------------------------------------------------
  dbms_sql.describe_columns2(stmt, colCount, tableDesc);
 
  -- Define individual columns and assign value to colValue variable.
  FOR i IN 1..colCount LOOP
    dbms_sql.define_column(stmt, i, colValue, 4000);
  END LOOP;
 
  -- Execute the dynamic cursor.
  STATUS := dbms_sql.execute(stmt);
 
  -- Fetch the results, row-by-row.
  WHILE dbms_sql.fetch_rows(stmt) > 0 LOOP
 
    -- Reset row counter for display purposes.
    rowIndex := rowIndex + 1;
    dbms_output.put_line('********************************** ' || rowIndex || '. row **********************************');
 
    -- For each column, print left-aligned column names and values.
    FOR i IN 1..colCount LOOP
 
      -- Limit display of long text.  
      IF tableDesc(i).col_type IN (1,9,96,112) THEN
 
        -- Display 40 character substrings of long text.  
  	dbms_sql.column_value(stmt, i, colValue);
        dbms_output.put_line(RPAD(tableDesc(i).col_name, colLength,' ') || ' : ' || SUBSTR(colValue, 1,40));	  
 
      ELSE
 
        -- Display full value as character string.  
        dbms_sql.column_value(stmt, i, colValue);
        dbms_output.put_line(RPAD(tableDesc(i).col_name, colLength,' ') || ' : ' || colValue);
 
      END IF;
 
    END LOOP;
 
  END LOOP;
 
EXCEPTION
  -- Customer error handlers.
  WHEN table_name_error THEN
    dbms_output.put_line(SQLERRM);
  WHEN invalid_relational_operator THEN
    dbms_output.put_line(SQLERRM);
  WHEN invalid_identifier THEN
    dbms_output.put_line(SQLERRM);
  WHEN missing_keyword THEN
    dbms_output.put_line(SQLERRM);
  WHEN misquoted_string THEN
    dbms_output.put_line(SQLERRM);
  WHEN OTHERS THEN
    dbms_output.put_line(SQLERRM);
END;
/

You can run the procedure with the following syntax:

EXECUTE display_vertical('ITEM','WHERE item_title LIKE ''Star%''');

It’ll return the following display of data:

********************************** 1. ROW **********************************
ITEM_ID           : 1002
ITEM_BARCODE      : 24543-02392
ITEM_TYPE         : 1011
ITEM_TITLE        : Star Wars I
ITEM_SUBTITLE     : Phantom Menace
ITEM_RATING       : PG
ITEM_RELEASE_DATE : 04-MAY-99
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         :
DISPLAY_PHOTO     : BLOB NOT displayable.
********************************** 2. ROW **********************************
ITEM_ID           : 1003
ITEM_BARCODE      : 24543-5615
ITEM_TYPE         : 1010
ITEM_TITLE        : Star Wars II
ITEM_SUBTITLE     : Attack OF the Clones
ITEM_RATING       : PG
ITEM_RELEASE_DATE : 16-MAY-02
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         :
DISPLAY_PHOTO     : BLOB NOT displayable.
********************************** 3. ROW **********************************
ITEM_ID           : 1004
ITEM_BARCODE      : 24543-05539
ITEM_TYPE         : 1011
ITEM_TITLE        : Star Wars II
ITEM_SUBTITLE     : Attack OF the Clones
ITEM_RATING       : PG
ITEM_RELEASE_DATE : 16-MAY-02
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         : This IS designed TO be a long enough str
DISPLAY_PHOTO     : BLOB NOT displayable.
********************************** 4. ROW **********************************
ITEM_ID           : 1005
ITEM_BARCODE      : 24543-20309
ITEM_TYPE         : 1011
ITEM_TITLE        : Star Wars III
ITEM_SUBTITLE     : Revenge OF the Sith
ITEM_RATING       : PG13
ITEM_RELEASE_DATE : 19-MAY-05
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         :
DISPLAY_PHOTO     : BLOB NOT displayable.

Function for \G output ↓

The function is the best solution. It does have a dependency on a user-defined type (UDT). The function, like the procedure, only returns column values that are printable at the console. It also parses the first 40 characters from long text strings.

Before you create the function, you must create a UDT collection variable. The following syntax creates a schema-level UDT.

CREATE OR REPLACE TYPE query_result AS TABLE OF VARCHAR2(77);
/

Here’s the function definition:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216

CREATE OR REPLACE FUNCTION vertical_query
( TABLE_NAME VARCHAR2, where_clause VARCHAR2 ) RETURN query_result IS
 
  -- Open a cursor for a query against all columns in a table. 
  base_stmt	INTEGER := dbms_sql.open_cursor;
 
  -- Open a cursor for a dynamically constructed query, which excludes
  -- any non-displayable columns with text.
  stmt      INTEGER := dbms_sql.open_cursor;
 
  -- Declare local variables.
  colValue	VARCHAR2(4000);      -- Declare a maximum string length for column values.
  STATUS		INTEGER;             -- Declare a variable to hold acknowledgement of DBMS_SQL.EXECUTE
  tableDesc	dbms_sql.desc_tab2;  -- Declare a table to hold metadata for the queries.
  colCount	NUMBER;              -- Declare a variable for the column count.
  rowIndex	NUMBER := 0;         -- for displaying the row number retrieved from the cursor
  colLength	NUMBER := 0;         -- for keeping track of the length of the longest column name
 
  -- Declare local variable for the dynamically constructed query.
  dynamic_stmt VARCHAR2(4000) := 'SELECT ';
 
  -- Declare a index for the return collection.
  rsIndex NUMBER := 0;
 
  -- Declare a collection variable and instantiate the collection.
  result_set QUERY_RESULT := query_result();
 
  -- Declare an exception for a bad table name, raised by a call to
  -- the dbms_assert.qualified_sql_name function.
  table_name_error EXCEPTION;
  PRAGMA EXCEPTION_INIT(table_name_error, -942);
 
  -- Declare exception handlers for bad WHERE clause statements.
 
  -- Declare an exception for a missing WHERE keyword.
  missing_keyword EXCEPTION;
  PRAGMA EXCEPTION_INIT(missing_keyword, -933);  
 
  -- Declare an exception for a bad relational operator.
  invalid_relational_operator EXCEPTION;
  PRAGMA EXCEPTION_INIT(invalid_relational_operator, -920);  
 
  -- Declare an exception for a bad column name.
  invalid_identifier EXCEPTION;
  PRAGMA EXCEPTION_INIT(invalid_identifier, -904);  
 
  -- Declare an exception for a missing backquoted apostrophe.
  misquoted_string EXCEPTION;
  PRAGMA EXCEPTION_INIT(misquoted_string, -1756);  
 
  -- ------------------------------------------------------------------
 
  -- Declare a function that replaces non-displayable values with text messages.
  FUNCTION check_column( p_name   VARCHAR2
                       , p_type   NUMBER ) RETURN VARCHAR2 IS
 
    -- Return column name or literal value.
    retval VARCHAR2(30);			   
 
  BEGIN
 
    -- Find strings, numbers, dates, timestamps, rowids and replace non-display values.
    IF p_type IN (1,2,8,9,12,69,96,100,101,112,178,179,180,181,231) THEN
 
      -- Assign the column name for a displayable column value.
      retval := p_name;
 
    ELSE
 
      -- Re-assign string literals for column names where values aren't displayable.      
      SELECT DECODE(p_type, 23,'''RAW not displayable.'''
                          ,105,'''MLSLABEL not displayable.'''
                          ,106,'''MLSLABEL not displayable.'''
                          ,113,'''BLOB not displayable.'''
                          ,114,'''BFILE not displayable.'''
                          ,115,'''CFILE not displayable.'''
                          ,'''UNDEFINED not displayable.''')
      INTO retval
      FROM dual;
 
    END IF;
 
    -- Return the column name or a apostrophe delimited string literal.
    RETURN retval;
  END check_column;
 
  -- ------------------------------------------------------------------
 
BEGIN
 
	-- Prepare unfiltered display cursor.
	dbms_sql.parse(base_stmt, 'SELECT * FROM ' || dbms_assert.simple_sql_name(TABLE_NAME) || ' ' || where_clause, dbms_sql.native);
 
  -- Describe the table structure:
  -- --------------------------------------------------------
  --  1. Store metadata in tableDesc
  --  2. Store the number of columns in colCount
  -- --------------------------------------------------------
  dbms_sql.describe_columns2(base_stmt, colCount, tableDesc);
 
  -- Define individual columns and assign value to colValue variable.
  FOR i IN 1..colCount LOOP
 
    -- Define columns for each column returned into tableDesc.
    dbms_sql.define_column(base_stmt, i, colValue, 4000);
 
    -- Find the length of the longest column name.
    IF LENGTH(tableDesc(i).col_name) > colLength THEN
      colLength := LENGTH(tableDesc(i).col_name);
    END IF;
 
    -- Replace non-displayable column values with displayable values.
    IF i < colCount THEN
      dynamic_stmt := dynamic_stmt || check_column(tableDesc(i).col_name,tableDesc(i).col_type) || ' AS '
                   || tableDesc(i).col_name || ', ';
    ELSE
      dynamic_stmt := dynamic_stmt || check_column(tableDesc(i).col_name,tableDesc(i).col_type) || ' AS '
                   || tableDesc(i).col_name || ' ' || 'FROM ' || dbms_assert.simple_sql_name(TABLE_NAME)
                   || ' ' || where_clause;
    END IF;
 
  END LOOP;
 
  -- Provide conditional debugging instruction that displays dynamically created query.
  $IF $$DEBUG = 1 $THEN
     dbms_output.put_line(dynamic_stmt);
  $END
 
  -- Prepare unfiltered display cursor. 
  dbms_sql.parse(stmt, dynamic_stmt, dbms_sql.native);
 
  -- Describe the table structure:
  -- --------------------------------------------------------
  --  1. Store metadata in tableDesc (reuse of existing variable)
  --  2. Store the number of columns in colCount
  -- --------------------------------------------------------
  dbms_sql.describe_columns2(stmt, colCount, tableDesc);
 
  -- Define individual columns and assign value to colValue variable.
  FOR i IN 1..colCount LOOP
    dbms_sql.define_column(stmt, i, colValue, 4000);
  END LOOP;
 
  -- Execute the dynamic cursor.
  STATUS := dbms_sql.execute(stmt);
 
  -- Fetch the results, row-by-row.
  WHILE dbms_sql.fetch_rows(stmt) > 0 LOOP
 
    -- Reset row counter for output display purposes.
    rowIndex := rowIndex + 1;
 
    -- Increment the counter for the collection and extend space before assignment.
    rsIndex := rsIndex + 1;
    result_set.EXTEND;
    result_set(rsIndex) := '********************************** ' || rowIndex || '. row **********************************';
 
    -- For each column, print left-aligned column names and values.
    FOR i IN 1..colCount LOOP
 
      -- Increment the counter for the collection and extend space before assignment.
      rsIndex := rsIndex + 1;
      result_set.EXTEND;
 
      -- Limit display of long text.  
      IF tableDesc(i).col_type IN (1,9,96,112) THEN
 
        -- Display 40 character substrings of long text.  
        dbms_sql.column_value(stmt, i, colValue);
        result_set(rsIndex) := RPAD(tableDesc(i).col_name, colLength,' ') || ' : ' || SUBSTR(colValue, 1,40);	  
 
      ELSE
 
        -- Display full value as character string.  
        dbms_sql.column_value(stmt, i, colValue);
        result_set(rsIndex) := RPAD(tableDesc(i).col_name, colLength,' ') || ' : ' || colValue;
 
      END IF;
 
    END LOOP;
 
  END LOOP;
 
  -- Increment the counter for the collection and extend space before assignment.
  FOR i IN 1..3 LOOP
    rsIndex := rsIndex + 1;
    result_set.EXTEND;
 
    CASE i
      WHEN 1 THEN
        result_set(rsIndex) := '****************************************************************************';
      WHEN 2 THEN
        result_set(rsIndex) := CHR(10);    
      WHEN 3 THEN
        result_set(rsIndex) := rowIndex || ' rows in set';    
    END CASE;
  END LOOP;
 
  -- Return collection.
  RETURN result_set;
EXCEPTION
  -- Customer error handlers, add specialized text or collapse into one with the OTHERS catchall.
  WHEN table_name_error THEN
    dbms_output.put_line(SQLERRM);
  WHEN invalid_relational_operator THEN
    dbms_output.put_line(SQLERRM);
  WHEN invalid_identifier THEN
    dbms_output.put_line(SQLERRM);
  WHEN missing_keyword THEN
    dbms_output.put_line(SQLERRM);
  WHEN misquoted_string THEN
    dbms_output.put_line(SQLERRM);
  WHEN OTHERS THEN
    dbms_output.put_line(SQLERRM);
END;
/

Before you attempt to run the function, you should set two Oracle SQL*Plus environment commands. One suppresses a message saying what just ran, and the other removes column headers. Clearly, the output is sufficient and the headers are clutter. You set these, as noted below:

SET FEEDBACK OFF
SET PAGESIZE 0

You can run the function with the following syntax (the COLUMN_VALUE is the standard name returned from a scalar schema-level collection.

SELECT column_value
FROM   TABLE(vertical_query('ITEM','WHERE item_title LIKE ''Star%'''));

It’ll return the following display of data:

********************************** 1. ROW **********************************
ITEM_ID           : 1002
ITEM_BARCODE      : 24543-02392
ITEM_TYPE         : 1011
ITEM_TITLE        : Star Wars I
ITEM_SUBTITLE     : Phantom Menace
ITEM_RATING       : PG
ITEM_RELEASE_DATE : 04-MAY-99
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         :
DISPLAY_PHOTO     : BLOB NOT displayable.
********************************** 2. ROW **********************************
ITEM_ID           : 1003
ITEM_BARCODE      : 24543-5615
ITEM_TYPE         : 1010
ITEM_TITLE        : Star Wars II
ITEM_SUBTITLE     : Attack OF the Clones
ITEM_RATING       : PG
ITEM_RELEASE_DATE : 16-MAY-02
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         :
DISPLAY_PHOTO     : BLOB NOT displayable.
********************************** 3. ROW **********************************
ITEM_ID           : 1004
ITEM_BARCODE      : 24543-05539
ITEM_TYPE         : 1011
ITEM_TITLE        : Star Wars II
ITEM_SUBTITLE     : Attack OF the Clones
ITEM_RATING       : PG
ITEM_RELEASE_DATE : 16-MAY-02
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         : This IS designed TO be a long enough str
DISPLAY_PHOTO     : BLOB NOT displayable.
********************************** 4. ROW **********************************
ITEM_ID           : 1005
ITEM_BARCODE      : 24543-20309
ITEM_TYPE         : 1011
ITEM_TITLE        : Star Wars III
ITEM_SUBTITLE     : Revenge OF the Sith
ITEM_RATING       : PG13
ITEM_RELEASE_DATE : 19-MAY-05
CREATED_BY        : 3
CREATION_DATE     : 09-JUN-10
LAST_UPDATED_BY   : 3
LAST_UPDATE_DATE  : 09-JUN-10
ITEM_DESC         :
DISPLAY_PHOTO     : BLOB NOT displayable.
****************************************************************************

As usual, I hope this helps folks.

Written by maclochlainn

June 14th, 2010 at 1:01 am

Posted in MySQL,Oracle,Oracle XE,pl/sql,sql

Tagged with ,

MySQL REPLACE INTO

with 7 comments

I overlooked MySQL’s real equivalent to a MERGE statement, which is the REPLACE INTO statement. A previous example uses the INSERT statement with the ON DUPLICATE KEY clause. The following demonstrates how to perform a left join from and exernal source. These related posts all started with this one.

Demonstration

Here are the steps to accomplish an import/upload with the REPLACE INTO statement. In this example, you upload data from a flat file, or Comma Separated Value (CSV) file to a denormalized table (actually in unnormalized form). This type of file upload transfers information that doesn’t have surrogate key values. You have to create those in the scope of the transformation to the normalized tables.

Step #1 : Position your CSV file in the physical directory

After creating the virtual directory, copy the following contents into a file named kingdom_mysql_import.csv in the C:\Data\Download directory or folder. If you have Windows UAC enabled in Windows Vista or 7, you should disable it before performing this step.

Place the following in the kingdom_mysql_import.csv file. The trailing commas are meaningful in MySQL and avoid problems when reading CSV files.

Narnia, 77600,'Peter the Magnificent',12720320,12920609,
Narnia, 77600,'Edmund the Just',12720320,12920609,
Narnia, 77600,'Susan the Gentle',12720320,12920609,
Narnia, 77600,'Lucy the Valiant',12720320,12920609,
Narnia, 42100,'Peter the Magnificent',15310412,15310531,
Narnia, 42100,'Edmund the Just',15310412,15310531,
Narnia, 42100,'Susan the Gentle',15310412,15310531,
Narnia, 42100,'Lucy the Valiant',15310412,15310531,
Camelot, 15200,'King Arthur',06310310,06861212,
Camelot, 15200,'Sir Lionel',06310310,06861212,
Camelot, 15200,'Sir Bors',06310310,06351212,
Camelot, 15200,'Sir Bors',06400310,06861212,
Camelot, 15200,'Sir Galahad',06310310,06861212,
Camelot, 15200,'Sir Gawain',06310310,06861212,
Camelot, 15200,'Sir Tristram',06310310,06861212,
Camelot, 15200,'Sir Percival',06310310,06861212,
Camelot, 15200,'Sir Lancelot',06700930,06821212,

Step #2 : Connect as the student user

Disconnect and connect as the student user, or reconnect as the student user. The reconnect syntax that protects your password is:

mysql -ustudent -p

Connect to the sampledb database, like so:

mysql> USE sampledb;

Step #3 : Run the script that creates tables and sequences

Copy the following into a create_mysql_kingdom_upload.sql file within a directory of your choice. Then, run it as the student account.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40

-- This enables dropping tables with foreign key dependencies.
-- It is specific to the InnoDB Engine.
SET FOREIGN_KEY_CHECKS = 0; 
 
-- Conditionally drop objects.
SELECT 'KINGDOM' AS "Drop Table";
DROP TABLE IF EXISTS KINGDOM;
 
SELECT 'KNIGHT' AS "Drop Table";
DROP TABLE IF EXISTS KNIGHT;
 
SELECT 'KINGDOM_KNIGHT_IMPORT' AS "Drop Table";
DROP TABLE IF EXISTS KINGDOM_KNIGHT_IMPORT;
 
-- Create normalized kingdom table.
SELECT 'KINGDOM' AS "Create Table";
CREATE TABLE kingdom
( kingdom_id    INT UNSIGNED PRIMARY KEY AUTO_INCREMENT
, kingdom_name  VARCHAR(20)
, population    INT UNSIGNED) ENGINE=INNODB;
 
-- Create normalized knight table.
SELECT 'KNIGHT' AS "Create Table";
CREATE TABLE knight
( knight_id             INT UNSIGNED PRIMARY KEY AUTO_INCREMENT
, knight_name           VARCHAR(24)
, kingdom_allegiance_id INT UNSIGNED
, allegiance_start_date DATE
, allegiance_end_date   DATE
, CONSTRAINT fk_kingdom FOREIGN KEY (kingdom_allegiance_id)
  REFERENCES kingdom (kingdom_id)) ENGINE=INNODB;
 
-- Create external import table in memory only - disappears after rebooting the mysqld service.
SELECT 'KINGDOM_KNIGHT_IMPORT' AS "Create Table";
CREATE TABLE kingdom_knight_import
( kingdom_name          VARCHAR(20)
, population            INT UNSIGNED
, knight_name           VARCHAR(24)
, allegiance_start_date DATE
, allegiance_end_date   DATE) ENGINE=MEMORY;

Step #4 : Load the data into your target upload table

There a number of things that could go wrong but when you choose LOCAL there generally aren’t any problems. Run the following query from the student account while using the sampledb database, and check whether or not you can access the kingdom_import.csv file.

1
2
3
4
5
6

LOAD DATA LOCAL INFILE 'c:/Data/kingdom_mysql_import.csv'
INTO TABLE kingdom_knight_import
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
ESCAPED BY '\\'
LINES TERMINATED BY '\r\n';

Step #5 : Create the upload procedure

Copy the following into a create_mysql_upload_procedure.sql file within a directory of your choice. You should note that unlike Oracle’s MERGE statement, this is done with the ON DUPLICATE KEY clause and requires actual values not a source query. This presents few options other than a stored routine, known as a stored procedure. As you can see from the code, there’s a great deal of complexity to the syntax and a much more verbose implementation than Oracle’s equivalent PL/SQL.

Then, run it as the student account. As you look at the structure to achieve this simple thing, the long standing complaint about PL/SQL being a verbose language comes to mind. Clearly, stored procedures are new to MySQL but they’re quite a bit more verbose than PL/SQL.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72

-- Conditionally drop the procedure.
SELECT 'UPLOAD_KINGDOM' AS "Drop Procedure";
DROP PROCEDURE IF EXISTS upload_kingdom;
 
-- Reset the execution delimiter to create a stored program.
DELIMITER $$
 
-- The parentheses after the procedure name must be there or the MODIFIES SQL DATA raises an compile time exception.
CREATE PROCEDURE upload_kingdom() MODIFIES SQL DATA
 
BEGIN
 
  /* Declare a handler variables. */
  DECLARE duplicate_key INT DEFAULT 0;
  DECLARE foreign_key   INT DEFAULT 0;
 
  /* Declare a duplicate key handler */
  DECLARE CONTINUE HANDLER FOR 1062 SET duplicate_key = 1;
  DECLARE CONTINUE HANDLER FOR 1216 SET foreign_key = 1;
 
  /* ---------------------------------------------------------------------- */
 
  /* Start transaction context. */
  START TRANSACTION;
 
  /* Set savepoint. */  
  SAVEPOINT both_or_none;
 
  /* Open a local cursor. */  
  REPLACE INTO kingdom
  (SELECT   DISTINCT
            k.kingdom_id
   ,        kki.kingdom_name
   ,        kki.population
   FROM     kingdom_knight_import kki LEFT JOIN kingdom k
   ON       kki.kingdom_name = k.kingdom_name
   AND      kki.population = k.population);
 
   REPLACE INTO knight
   (SELECT   kn.knight_id
    ,        kki.knight_name
    ,        k.kingdom_id
    ,        kki.allegiance_start_date AS start_date
    ,        kki.allegiance_end_date AS end_date
    FROM     kingdom_knight_import kki INNER JOIN kingdom k
    ON       kki.kingdom_name = k.kingdom_name
    AND      kki.population = k.population LEFT JOIN knight kn
    ON       k.kingdom_id = kn.kingdom_allegiance_id
    AND      kki.knight_name = kn.knight_name
    AND      kki.allegiance_start_date = kn.allegiance_start_date
    AND      kki.allegiance_end_date = kn.allegiance_end_date);
 
  /* ---------------------------------------------------------------------- */
 
  /* This acts as an exception handling block. */  
  IF duplicate_key = 1 OR foreign_key = 1 THEN
 
    /* This undoes all DML statements to this point in the procedure. */
    ROLLBACK TO SAVEPOINT both_or_none;
 
  ELSE
 
    /* This commits the writes. */
    COMMIT;
 
  END IF;
 
END;
$$
 
-- Reset the delimiter to the default.
DELIMITER ;

Step #6 : Run the upload procedure

You can run the file by calling the stored procedure built by the script. The procedure ensures that records are inserted or updated into their respective tables.

CALL upload_kingdom;

Step #7 : Test the results of the upload procedure

You can test whether or not it worked by running the following queries.

-- Check the kingdom table.
SELECT * FROM kingdom;
SELECT * FROM knight;

It should display the following information:

+------------+--------------+------------+
| kingdom_id | kingdom_name | population |
+------------+--------------+------------+
|          1 | Narnia       |      77600 |
|          2 | Narnia       |      42100 |
|          3 | Camelot      |      15200 |
+------------+--------------+------------+
 
+-----------+-------------------------+-----------------------+-----------------------+---------------------+
| knight_id | knight_name             | kingdom_allegiance_id | allegiance_start_date | allegiance_end_date |
+-----------+-------------------------+-----------------------+-----------------------+---------------------+
|         1 | 'Peter the Magnificent' |                     1 | 1272-03-20            | 1292-06-09          |
|         2 | 'Edmund the Just'       |                     1 | 1272-03-20            | 1292-06-09          |
|         3 | 'Susan the Gentle'      |                     1 | 1272-03-20            | 1292-06-09          |
|         4 | 'Lucy the Valiant'      |                     1 | 1272-03-20            | 1292-06-09          |
|         5 | 'Peter the Magnificent' |                     2 | 1531-04-12            | 1531-05-31          |
|         6 | 'Edmund the Just'       |                     2 | 1531-04-12            | 1531-05-31          |
|         7 | 'Susan the Gentle'      |                     2 | 1531-04-12            | 1531-05-31          |
|         8 | 'Lucy the Valiant'      |                     2 | 1531-04-12            | 1531-05-31          |
|         9 | 'King Arthur'           |                     3 | 0631-03-10            | 0686-12-12          |
|        10 | 'Sir Lionel'            |                     3 | 0631-03-10            | 0686-12-12          |
|        11 | 'Sir Bors'              |                     3 | 0631-03-10            | 0635-12-12          |
|        12 | 'Sir Bors'              |                     3 | 0640-03-10            | 0686-12-12          |
|        13 | 'Sir Galahad'           |                     3 | 0631-03-10            | 0686-12-12          |
|        14 | 'Sir Gawain'            |                     3 | 0631-03-10            | 0686-12-12          |
|        15 | 'Sir Tristram'          |                     3 | 0631-03-10            | 0686-12-12          |
|        16 | 'Sir Percival'          |                     3 | 0631-03-10            | 0686-12-12          |
|        17 | 'Sir Lancelot'          |                     3 | 0670-09-30            | 0682-12-12          |
+-----------+-------------------------+-----------------------+-----------------------+---------------------+

You can rerun the procedure to check that it doesn’t alter any information, then you could add a new knight to test the insertion portion.

Written by maclochlainn

May 14th, 2010 at 12:46 am

Posted in MySQL,sql

SQL Certified Expert Exam

without comments

I’ve been working with one of my lab tutors to have him take the 1Z0-047 Oracle Database SQL Expert test. He checked out the online practice exam, and found a couple interesting questions and new syntax. At least, it was new to me.

Naturally, I checked it out. I’ve also added it to my online tutorial for the class. Perhaps I’m a creature of habit but a range non-equijion is always a filtered cross product logically. Certainly, the explain plans indicate that this new syntax has zero performance change over the other forms.

I once used the comma-delimited tables (like everybody else), but now I try to always use the newer CROSS JOIN syntax. In both cases the range join is put in the WHERE clause. The new syntax uses an INNER JOIN and an ON clause to hold the range match. Examples of all are below.

Comma-delimited Filtered Cross Join

1
2
3
4
5

SELECT   c.month_short_name
,        t.transaction_amount
FROM     calendar_join c, transaction_join t
WHERE    t.transaction_date BETWEEN c.start_date AND c.end_date
ORDER BY EXTRACT(MONTH FROM t.transaction_date);

Filtered CROSS JOIN

1
2
3
4
5

SELECT   c.month_short_name
,        t.transaction_amount
FROM     calendar_join c CROSS JOIN transaction_join t
WHERE    t.transaction_date BETWEEN c.start_date AND c.end_date
ORDER BY EXTRACT(MONTH FROM t.transaction_date);

Range filtered INNER JOIN

1
2
3
4
5

SELECT   c.month_short_name
,        t.transaction_amount
FROM     calendar_join c INNER JOIN transaction_join t
ON      (t.transaction_date BETWEEN c.start_date AND c.end_date)
ORDER BY EXTRACT(MONTH FROM t.transaction_date);

Without an INDEX on the start and end date of the CALENDAR_JOIN table, the Oracle explain plan for all three queries is:

1
2
3
4
5
6
7
8
9
10

Query Plan
----------------------------------------------
SELECT STATEMENT   Cost = 9
  SORT ORDER BY
    MERGE JOIN
      SORT JOIN
        TABLE ACCESS FULL TRANSACTION_JOIN
      FILTER
        SORT JOIN
          TABLE ACCESS FULL CALENDAR_JOIN

Naturally, an INDEX on the START_DATE and END_DATE columns improves performance. The results again for all three are the same.

1
2
3
4
5
6
7
8

Query Plan
----------------------------------------------
SELECT STATEMENT   Cost = 6
  SORT ORDER BY
    TABLE ACCESS BY INDEX ROWID CALENDAR_JOIN
      NESTED LOOPS
        TABLE ACCESS FULL TRANSACTION_JOIN
        INDEX RANGE SCAN DATE_RANGE

Unless I’m missing something, it looks like its only a matter of style. However, make sure you know that new one because it appears that it’s on the OCP exam. 😉

Comments are always welcome …

Written by maclochlainn

March 17th, 2010 at 9:34 pm

Posted in MySQL,Oracle,Oracle XE,sql

« Older Entries
Newer Entries »