Thursday, December 09, 2010

Parameterizing SQL statements in the Kettle Table Input step: Variables vs Parameters

I get this question on a regular basis, so I figured I might as well blog it, in the hope it will be useful for others. Here goes:

Let's say that I want to delete all records that match an id from a set of tables. The table names come in as rows into the Execute SQL Script step (check execute for every row). Next I write:
DELETE FROM {table_name} WHERE id = {identifier}

as the SQL to execute. In the parameters grid at the bottom right, I have two fields: table_name and identifier. What is the syntax for substituting the table_name and identifier parameters in the sql script?


(Although this particular question focuses on the "Execute SQL Script" step, it also applies to the "Table Input" step, and probably a few more steps I can't recall right now.)

The parameters grid can be used for prepared statement value placeholders. In the SQL statement these placeholders are denoted as questionmarks (?). These are positional parameters: they get their value from those fields in the incoming stream that are entered in the parameters grid, in order.
Here's an example of the correct usage of these placeholders:
DELETE FROM myTable WHERE id = ?

Here, the ? in the WHERE clause will be bound to the value of the first field from the incoming stream entered in the parameters grid. Because there is only one such placeholder, there can be only one field in the parameters grid.

An important thing to realize is that these parameters can only be used to parameterize value expressions. So, this kind of parameter does not work for identifiers, nor do they work for structural elements of the SQL statement, such as keywords. So this kind of parameter cannot be used to parameterize the table name which seems to be the intention in the original example posed in the question.

There is a way to parameterize the structural elements of the SQL statement as well as the parameters. You can apply variable substitution to the SQL statetment.

Kettle Variables can be defined by a Set Variables step, or by specifying parameters at the transformation level. They get their value from "the environment": for example, parameters get their value initially when the transformation is started, and regular variables are typically set somewhere in the job that is calling your transformation.

In text fields, including the SQL textarea of the Table input step or the Execute SQL Script step, you denote those variables with this syntax: ${VARIABLE_NAME}. So to parameterize the table name we could use something like this:
DELETE FROM ${TABLE_NAME}


In order to force kettle to apply variable substitution to the SQL statement, you have to check the "variable substitution" checkbox. If this checkbox is checked, then all variables are simply substituted with their (string)value during transformation initialization. This is a lot like the way macro's are substituted by the pre-processor in C/C++ code.

When comparing variables with parameters, two important things should be mentioned here:

  • Unlike value placeholders, variables can be used to manipulate any aspect of the SQL statement, not just value expressions. The variable value will simply become the text that makes up the SQL statement, it is your responsibility it results in a syntactically valid and correct SQL statement.

  • Variables are evaluated once during transformation initalization. So if you want to vary the variable value, you'll have to call the transformation again for the change to take effect. For the same reasons, you cannot set the value of a variable and read it within the same transformation: setting the variable value occurs at runtime, but evaluating it occurs at initialization time.



Finally, here's a screenshot that summarizes these different ways to parameterize SQL statements in kettle:

If you want to read more about this topic, it's covered in both our books Pentaho Solutions and Pentaho Kettle Solutions. Another title you might be interested in is Maria Roldan's Pentaho 3.2 Data Integration: Beginner's Guide.

Wednesday, August 11, 2010

Back to blogging....

It has been a while since I posted on my blog - in fact, I believe this is the first time ever that more than one month passed between posts since I started blogging. There are a couple of reasons for the lag:

  • Matt Casters, Jos van Dongen and me have spent a lot of time finalizing our forthcoming book, Pentaho Kettle Solutions (Wiley, ISBN: 978-0-470-63517-9). The book is currently being produced, and should be available according to schedule in early September 2010. If you're interested, you might like to read one of my earlier posts that explains the organization and outline of the book.

    (I should point out that we have reorganized the outline as the project progressed, so the final result will not have all the chapters mentioned in that post. We do however cover most of the topics mentioned.)

  • I have been checking out Quipu, a promising Open Source data warehouse management solution. Quipu provides a repository-based extensible code-generator that allows you to generate and maintain a data warehouse based on the Data Vault model. One of the things I want to do in the short term is write templates that allows it to work for MySQL, and after that, I want to see if I can get Quipu to generate Kettle Jobs and transformations.

  • I have been working on a couple of software projects. Two of them are currently available as open source on google code:

    mql-to-sql
    This allows you to use the Metaweb Query Language (MQL) to query a RDBMS. If you're wondering what this is all about: MQL is the query language used by Freebase (which is a collaborative "database-of-everything" or "wikipedia-gone-database").

    While Freebase is interesting in its own right, I am particularly enthused about the MQL query language. I feel that MQL is an exceptionally good solution for flexible, expressive and secure data access for modern (AJAX) Web applications. Even though MQL was not developed with relational database systems in mind, I think it is a pretty good fit.

    Anyway, this is very much a work in progress, and I appreciate your feedback on it. If you're interested, you can read a bit more about my take on RDBMS data access for web applications and MQL on the mql-to-sql project home page. I have also put up an online demo that allows you to query the sakila MySQL sample database using MQL.

    kettle-cookbook
    This is a project that provides auto-documentation for Kettle (a.k.a. Pentaho Data Integration).

    The project consists of a bunch of Kettle Jobs and transformations (as well as some XSLT stylesheets) that extract data from Kettle Jobs and transformation and transform it into a collection of human-readable HTML documents along with a table of contents. The resulting documentation looks and feels a bit like JavaDoc documentation.

    If all goes well, I will be presenting kettle-cookbook in a Pentaho web seminar, which is currently scheduled for September 15, 2010


  • I've been enjoying 4 weeks of vacation (I started working this week). There's not much to tell about that, other than that it was great spending a lot of time with my family. I plan to do this more often, and now that Kettle Solutions is finished I should be able to find more time to do it.

  • I've been looking at two emerging HTML5 APIs for client-side structured storage, the Web SQL Database API and the Indexed DB API.

    I have developed a few thoughts about the ongoing debate (see this and article for some background) about which one is better and I see a role for something like MQL here too. I will probably write something about this in the next few weeks

  • Yesterday, I got wind of the JS1k contest! Basically, the challenge is to write an interesting standalone JavaScript demo program that must be no larger than 1024 bytes. It is amazing and inspiring to see what people manage to do with a modern browser in 1k of JavaScript code.

    I decided to try it myself, and you can find my submission here: An interactive SQL query tool for the Web SQL DB API.

    Essentially, you get a textarea where you can enter arbitrary SQLite queries, and button to execute the SQL, and a result area that will print a feedback message and a result table (if applicable). As a bonus, there's a button to get a listing of the available database objects (using a query on sqlite_master) and an explain button to show the query plan of the current SQL statement.

    The demo works on recent versions of Google Chrome, Apple Safari and Opera. It can run offline, and does not require any plugins. I should say that I expect my submission will be rejected by the judges since the demo is not functional on Mozilla Firefox, which is a requirement. (That is, the script will detect that the Web SQL Database API is not supported and print a message to that effect). However, it was still fun to try my hand at it.


Ok - that's it for now. I will try and post more regularly and write about these and other things in the near future. Don't hesitate to leave a comment if you have any questions or suggestions.

Wednesday, May 26, 2010

A small issue of SQL standards

From a functional perspective, the core SQL support in all major and minor RDBMS-es is reasonably similar. In this light, it's sometimes quite disturbing to find how some very basic things work so differently across different products. Consider this simple statement:
SELECT  'a' /* this is a comment */ 'b'
FROM onerow
What should the result be? (You can assume that onerow is an existing table that contains one row)

It turns out popular RDBMS-es mostly disagree with one another.

In Oracle XE, we get this:
SELECT  'a' /* comment */ 'b'
*
ERROR at line 1:
ORA-00923: FROM keyword not found where expected

PostgreSQL 8.4 also treats it as a syntax error, and thus seems compatible with Oracle's behavior:
ERROR:  syntax error at or near "'b'"
LINE 1: SELECT 'a' /* this is a comment */ 'b'

In Microsoft SQL Server 2008 we get:
b
-
a

(1 rows affected)
As you can see, MS SQL treats the query as SELECT 'a' AS b FROM onerow.

Finally, in MySQL 5.1, we get:
+----+
| a |
+----+
| ab |
+----+
1 row in set (0.00 sec)
So in MySQL, its as if the comment isn't there at all, and as if the string literals 'a' and 'b' are actually just one string literal 'ab'.

So what does the SQL standard say? In my copy of the 2003 edition, I find this (ISO/IEC 9075-2:2003 (E) 5.3 <literal>, page 145):
Syntax Rules
1) In a <character string literal> or <national character string literal>, the sequence:
<quote> <character representation>... <quote> <separator> <quote> <character representation>... <quote>
is equivalent to the sequence
<quote> <character representation>... <character representation>... <quote>
If we lookup the definition of <separator>, it reads:
<separator> ::= { <comment> | <white space> }...
So in this case, MySQL does the "right" thing, and basically ignores the comment, treating 'a' and 'b' as a single string constant 'ab'.
UPDATE 1: As always, the devil is in the details. And trust me, the SQL standard has many of them (details that is - I'll leave it up to the reader to decide for the devils, although I have a suspicion in a particular direction). Read on, and make sure to read Nick's comment on this post - it turns out PostgreSQL seems to behave exactly according to the standard in this case.

UPDATE 2: Serg also posted a comment citing yet another part of the standard that states that all comments implicitly count as a newline. This would mean that there doesn't have to be a literal newline character in or following the comment. In this case, my original remark that MySQL got it right would hold again.

I should state that I think very highly of both Nick and Serg, and as far as I am concerned, they're both right. I can't help but seeing this as yet more support for my statement that the SQL standard is so complex it is almost or perhaps completely impossible to get it right.

Do you find this too bold? If so, I'd really love to hear your thoughts on it. Please help us solve this paradox, I only want to understand what the standard really says.
If you try the same thing with a single line comment, all products mentioned react the same as with the initial query, except for PostgreSQL, which now treats the query according to the standard.

Now don't get me wrong. This post is not designed to bash or glorify any of the products mentioned. I think all of them are great in their own way. I am quite aware that although MySQL happens to adhere to the standard here, it violates it in other places. Finally, I should point out that I don't have a specific opinion on what the right behavior should be. I just want it to be the same on all platforms.

At the same time, I realize that for SQL it's probably too late - up to an extent, incompatibility is considered normal, and database professionals tend to be specialized in particular products anyway. So I'm not holding my breath for the grand unification of SQL dialects.

When I encountered this issue, I did have to think about that other rathole of incompatibilities I have to deal with professionally, which is web-browsers. An interesting development there is the HTML 5 specification, which actually defines an algorithm for parsing HTML - even invalid HTML. This is quite different from the approach taken by most standards, which typically define only an abstract grammar, but leave the implementation entirely up to the vendors. In theory, providing parsing instructions as detailed as done in HTML 5 should make it easier to create correct parsers, and hopefully this will contribute to a more robust web.

Anyway. That was all. Back to work...

UPDATE: I just heard that Sybase (unsurprisingly) behaves similar to MS SQL for this query (that is, query is valid, and returns 'a' in a column called b). I checked SQLite myself, which is also in that camp.

Nick also pointed out that LucidDB also provides a standard compliant implementation, in other words, it behaves exactly like PostgreSQL for this particular query. However, Julian, who was and is closely involved in LucidDB agrees with Serg that the comment should probably count as a newline, and filed a bug for LucidDB.

I checked Firebird 2.1.3, and they are in the Oracle camp: in both cases, the query gives a syntax error.

Tuesday, May 25, 2010

MySQL, Oracle and NoSQL: In the grand scheme...

...NoSQL is just larger than a fly's dropping, and MySQL and Oracle are more alike than either of their respective fanboys would like to admit.

Courtesy of Google trends:



I guess I won't be changing my career just yet.


UPDATE: I tried a few terms for "Microsoft SQL Server" before posting (SQL Server, MS SQL) but found none that came up with what I felt like was a realistic volume (they are all much, much lower than I expected). @MarkGStacey suggested trying "SQL 2008", "SQL 2005" and "SQL 2000", and those return much better results indeed (though still much lower than MySQL or Oracle). Anyway - I'd love to have some way of bunching up all those terms and have Google Trends show them as one trend, but I haven't figured out a way to do that. If you know how, please drop a line at let me know.

I'll adjust the blog if I find a more satisfactory solution.

Tuesday, May 04, 2010

MySQL: The maximum value of an integer

Did you ever have the need to find the maximum value of an integer in MySQL? Yeah, me neither. Anyway, some people seem to need this, and this is what I came up with:

SELECT ~0 as max_bigint_unsigned
, ~0 >> 32 AS max_int_unsigned
, ~0 >> 40 AS max_mediumint_unsigned
, ~0 >> 48 AS max_smallint_unsigned
, ~0 >> 56 AS max_tinyint_unsigned
, ~0 >> 1 AS max_bigint_signed
, ~0 >> 33 AS max_int_signed
, ~0 >> 41 AS max_mediumint_signed
, ~0 >> 49 AS max_smallint_signed
, ~0 >> 57 AS max_tinyint_signed
\G

*************************** 1. row ***************************
max_bigint_unsigned: 18446744073709551615
max_int_unsigned: 4294967295
max_mediumint_unsigned: 16777215
max_smallint_unsigned: 65535
max_tinyint_unsigned: 255
max_bigint_signed: 9223372036854775807
max_int_signed: 2147483647
max_mediumint_signed: 8388607
max_smallint_signed: 32767
max_tinyint_signed: 127
1 row in set (0.00 sec)

In case you're wondering how it works, read up on what the tilde (~) does: it peforms a bitwise negation. In other words, if flips bits that are 1 to 0, and vice versa. So, ~0 means, set all the bits to 1, because in the integer one 0, all the bits are a binary 0. Now, in MySQL, at runtime, there is only one integer type, which is an 8-byte integer value or a bigint. Therefore, ~0 is by definition the largest possible integer value.

MySQL defines a family of integer types for storage: bigint (8 bytes), int (4 bytes), mediumint (3 bytes), smallint (2 bytes) and tinyint (1 byte). To find the maximum values of those types, we can use the right-bitshift operator >> to push the most-significant bits at the left side of ~0 down to the right, for the appropriate number of bytes to get the maximum values of the other integer flavors. So,

int type: big int medium small tiny
bit #: 64 56 48 40 32 24 16 8 1
~0 = 11111111 11111111 11111111 11111111 11111111 11111111 11111111 11111111 = 18446744073709551615
~0 >> 32 = 00000000 00000000 00000000 00000000 11111111 11111111 11111111 11111111 = 4294967295
~0 >> 40 = 00000000 00000000 00000000 00000000 00000000 11111111 11111111 11111111 = 16777215
~0 >> 48 = 00000000 00000000 00000000 00000000 00000000 00000000 11111111 11111111 = 65535
~0 >> 56 = 00000000 00000000 00000000 00000000 00000000 00000000 00000000 11111111 = 255

Now, for each of the integer flavors, MySQL lets you define them to be either signed or unsigned. This is implemented using a so-called sign bit. The sign bit is the most significant bit (so, bit #64 in a bigint, bit #32 in an int, and so on and so forth). If the sign bit equals 0, the integer is positive and if it equals 1, the integer is negative. So, to get the maximum values for the signed integer flavors, we can use the same recipe, we just need to push the bits even one more bit to the right, like so:

int type: big int medium small tiny
bit #: 64 56 48 40 32 24 16 8 1
~0 >> 1 = 01111111 11111111 11111111 11111111 11111111 11111111 11111111 11111111 = 9223372036854775807
~0 >> 33 = 00000000 00000000 00000000 00000000 01111111 11111111 11111111 11111111 = 2147483647
~0 >> 41 = 00000000 00000000 00000000 00000000 00000000 01111111 11111111 11111111 = 8388607
~0 >> 49 = 00000000 00000000 00000000 00000000 00000000 00000000 01111111 11111111 = 32767
~0 >> 57 = 00000000 00000000 00000000 00000000 00000000 00000000 00000000 01111111 = 127

Tuesday, April 20, 2010

Restoring XML-formatted MySQL dumps

EAVB_VFZUHIARHI To whom it may concern -

The mysqldump program can be used to make logical database backups. Although the vast majority of people use it to create SQL dumps, it is possible to dump both schema structure and data in XML format. There are a few bugs (#52792, #52793) in this feature, but these are not the topic of this post.

XML output from mysqldump

Dumping in XML format is done with the --xml or -X option. In addition, you should use the --hex-blob option otherwise the BLOB data will be dumped as raw binary data, which usually results in characters that are not valid, either according to the XML spec or according to the UTF-8 encoding. (Arguably, this is also a bug. I haven't filed it though.)

For example, a line like:

mysqldump -uroot -pmysql -X --hex-blob --databases sakila
dumps the sakila database to the following XML format:

<?xml version="1.0"?>
<mysqldump xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<database name="sakila">
<table_structure name="actor">
<field Field="actor_id" Type="smallint(5) unsigned" Null="NO" Key="PRI" Extra="auto_increment" />
<field Field="first_name" Type="varchar(45)" Null="NO" Key="" Extra="" />
<field Field="last_name" Type="varchar(45)" Null="NO" Key="MUL" Extra="" />
<field Field="last_update" Type="timestamp" Null="NO" Key="" Default="CURRENT_TIMESTAMP" Extra="on update CURRENT_TIMESTAMP" />
<key Table="actor" Non_unique="0" Key_name="PRIMARY" Seq_in_index="1" Column_name="actor_id" Collation="A" Cardinality="200" Null="" Index_type="BTREE" Comment="" />
<key Table="actor" Non_unique="1" Key_name="idx_actor_last_name" Seq_in_index="1" Column_name="last_name" Collation="A" Cardinality="200" Null="" Index_type="BTREE" Comment="" />
<options Name="actor" Engine="InnoDB" Version="10" Row_format="Compact" Rows="200" Avg_row_length="81" Data_length="16384" Max_data_length="0" Index_length="16384" Data_free="233832448" Auto_increment="201" Create_time="2009-10-10 10:04:56" Collation="utf8_general_ci" Create_options="" Comment="" />
</table_structure>
<table_data name="actor">
<row>
<field name="actor_id">1</field>
<field name="first_name">PENELOPE</field>
<field name="last_name">GUINESS</field>
<field name="last_update">2006-02-15 03:34:33</field>
</row>

...many more rows and table structures...

</database>
</mysqldump>
I don't want to spend too much time discussing why it would be useful to make backups in this way. There are definitely a few drawbacks - for example, for sakila, the plain SQL dump, even with --hex-blob is 3.26 MB (3.429.358 bytes), whereas the XML output is 13.7 MB (14,415,665 bytes). Even after zip compression, the XML formatted dump is still one third larger than the plain SQL dump: 936 kB versus 695 kB.

Restoring XML output from mysqldump

A more serious problem is that MySQL doesn't seem to offer any tool to restore XML formatted dumps. The LOAD XML feature, kindly contributed by Erik Wetterberg could be used to some extent for this purpose. However, this feature is not yet available (it will be available in the upcoming version MySQL 5.5), and from what I can tell, it can only load data - not restore tables or databases. I also believe that this feature does not (yet) provide any way to properly restore hex-dumped BLOB data, but I really should test it to know for sure.

Anyway.

In between sessions of the past MySQL users conference I cobbled up an XSLT stylesheet that can convert mysqldump's XML output back to SQL script output. It is available under the LGPL license, and it is hosted on google code as the mysqldump-x-restore project. To get started, you need to download the mysqldump-xml-to-sql.xslt XSLT stylesheet. You also need a command line XSLT processor, like xsltproc. This utility is part of the Gnome libxslt project, and is included in packages for most linux distributions. There is a windows port available for which you can download the binaries.

Assuming that xsltproc is in your path, and the XML dump and the mysqldump-xml-to-sql.xslt are in the current working directory, you can use this command to convert the XML dump to SQL:

xsltproc mysqldump-xml-to-sql.xslt sakila.xml > sakila.sql
On Unix-based systems you should be able to directly pipline the SQL into mysql using

mysql -uroot -pmysql < `xsltproc mysqldump-xml-to-sql.xslt sakila.xml`
The stylesheet comes with a number of options, which can be set through xsltproc's --stringparam option. For example, setting the schema parameter to N will result in an SQL script that only contains DML statements:

xsltproc --stringparam schema N mysqldump-xml-to-sql.xslt sakila.xml > sakila.sql
Setting the data option to N will result in an SQL script that only contains DDL statements:

xsltproc --stringparam data N mysqldump-xml-to-sql.xslt sakila.xml > sakila.sql
. There are additional options to control how often a COMMIT should be issued, whether to add DROP statements, whether to generate single row INSERT statements, and to set the max_allowed_packet size.

What's next?

Nothing much really. I don't really recommend people to use mysqldump's XML output. I wrote mysqldump-x-restore for those people that inherited a bunch of XML formatted dumps, and don't know what to do with them. I haven't thouroughly tested it - please file a bug if you find one. If you actually think it's useful and you want more features, please let me know, and I'll look into it. I don't have much use for this myself, so if you have great ideas to move this forward, I'll let you have commit access.

That is all.

Wednesday, April 14, 2010

MySQL Conference 2010 Presentation: Optimizing Stored Routines

Yesterday I delivered my presentation for the MySQL User Conference and Expo 2010: Optimizing MySQL Stored Routines. If you are interested in the slides, you can find them on both the MySQL conference site as well as on slideshare.net. Here's the abstract of my presentation so you can decide if this is interesting for you:
MySQL stored routines (functions, procedures, triggers and events) can be useful. But many casually written stored routines are unnecessarily slow. The main reason is that MySQL does not apply even simple code optimizations to stored routine code. Many developers are not aware of this, and as a result, write stored routine code that can quite easily be tuned, increasing performance by 50%-100% by only applying very straightforward code optimizations.
It was very pleased to see so many people attend: I had the impression that MySQL stored routines are quite impopular, due to performance issues, and a syntax that is often regarded as "clunky", so I didn't expect more than about 20 people to show up. Much to my pleasure, the ballroom was filled for about two-thirds, and I estimate there were 70-something people in the room.

A quick survey of the audience indicated that all of them were in fact using stored routines in production, so I assume they didn't show up out of morbid curiosity :) Interestingly, only few people reported performance issues. It would be interesting to do more research to find out what people are in fact doing with MySQL stored routines. Among yesterday's attendees, there were people using MySQL stored routines for managing user privileges, processing astronomical data, and checking complex dynamic business rules. To be sure - these were all different users - not just one isolated fanatic going wild with stored routines.

Co-incidentally, Domas Mituzas from facebook also mentioned stored routines in his presentation on high concurrency MySQL as a way to reduce the lock gap when performing multiple changes in a single transaction. I'm just saying - perhaps MySQL stored routines aren't that bad at all, they just need more love and dedication from the MySQL developers so they can mature and gain wider applicability.

Recently, I already wrote about a recent improvement in MySQL 5.5, the long anticipated SIGNAL /RESIGNAL syntax. I hope more improvements will follow soon now the dust is settling after Oracle's acquisition of Sun. After hearing Edward Screven unfold Oracle's strategy for MySQL in yesterday's keynote, I can tell you without reservation that I am quite optimistic :)

Anyway - that is all for now. Two days of conference ahead :)

DuckDb Performance: min, max, and median vs quantile

I was playing with some classical statistics in DuckDB and I ran into something I'd like to share. It's about the measures minimum,...