[My]SQL VARCHAR Size and Null-Termination - sql

Disclaimer: I'm very new to SQL and databases in general.
I need to create a field that will store a maximum of 32 characters of text data. Does "VARCHAR(32)" mean that I have exactly 32 characters for my data? Do I need to reserve an extra character for null-termination?
I conducted a simple test and it seems that this is a WYSIWYG buffer. However, I wanted to get a concrete answer from people who actually know what they're doing.
I have a C[++] background, so this question is raising alarm bells in my head.

Yes, you have 32 characters at your disposal. SQL does not concern itself with nul terminated strings like some programming languages do.

Your VARCHAR specification size is the max size of your data, so in this case, 32 characters. However, VARCHARS are a dynamic field, so the actual physical storage used is only the size of your data, plus one or two bytes.
If you put a 10-character string into a VARCHAR(32), the physical storage will be 11 or 12 bytes (the manual will tell you the exact formula).
However, when MySQL is dealing with result sets (ie. after a SELECT), 32 bytes will be allocated in memory for that field for every record.

Related

Why should I use char instead of varchar? [duplicate]

This question already has answers here:
What are the use cases for selecting CHAR over VARCHAR in SQL?
(19 answers)
Closed 8 years ago.
Char and varchar are datatypes in SQL, as they are in many other languages(So this question could be multi-language).
From what I understand, the difference is that if I declared a Char as Char(20) it would allocate 20 (bytes/bits) [Could someone clarify this bit too? For now, I'll use bytes.]. Then if I only used 16 bytes, I would still have four allocated to that field. (A waste of 4 bytes of memory.)
However, if I declared a varchar as varchar(20) and only used 16 bytes, it would only allocate 16 bytes.
Surely this is better? Why would anyone choose char? Is it foe legacy reasons, or is there something I'm missing?
Prefer VARCHAR.
In olden days of tight storage, it mattered for space. Nowadays, disk storage is cheap, but RAM and IO are still precious. VARCHAR is IO and cache friendly; it allows you to more densely pack the db buffer cache with data rather than wasted literal "space" space, and for the same reason, space padding imposes an IO overhead.
The upside to CHAR() used to be reduced row chaining on frequently updated records. When you update a field and the value is larger than previously allocated, the record may chain. This is manageable, however; databases often support a "percent free" setting on your table storage attributes that tells the DB how much extra space to preallocate per row for growth.
VARCHAR is almost always preferable because space padding requires you to be aware of it and code differently. Different databases handle it differently. With VARCHAR you know your field holds only exactly what you store in it.
I haven't designed a schema in over a decade with CHAR.
FROM Specification
char[(n)]
Fixed-length non-Unicode character data with length of n bytes. n must
be a value from 1 through 8,000. Storage size is n bytes. The SQL-92
synonym for char is character.
So Char(20) will allocate fixed 20 Bytes space to hold the data.
Usage:
For example if you have a column named Gender and you want to assign values like only M for Male (OR) F for female and you are sure that the field/column are non-null column . In such case, it's much better to define it as CHAR(1) instead like
Gender CHAR(1) not null
Also, varchar types carries extra overhead of 2 bytes as stated in document . The storage size is the actual length of the data entered + 2 bytes.
In case of char that's not the case.

Is varchar(128) better than varchar(100)

Quick question. Does it matter from the point of storing data if I will use decimal field limits or hexadecimal (say 16,32,64 instead of 10,20,50)?
I ask because I wonder if this will have anything to do with clusters on HDD?
Thanks!
VARCHAR(128) is better than VARCHAR(100) if you need to store strings longer than 100 bytes.
Otherwise, there is very little to choose between them; you should choose the one that better fits the maximum length of the data you might need to store. You won't be able to measure the performance difference between them. All else apart, the DBMS probably only stores the data you send, so if your average string is, say, 16 bytes, it will only use 16 (or, more likely, 17 - allowing 1 byte for storing the length) bytes on disk. The bigger size might affect the calculation of how many rows can fit on a page - detrimentally. So choosing the smallest size that is adequate makes sense - waste not, want not.
So, in summary, there is precious little difference between the two in terms of performance or disk usage, and aligning to convenient binary boundaries doesn't really make a difference.
If it would be a C-Program I'd spend some time to think about that, too. But with a database I'd leave it to the DB engine.
DB programmers spent a lot of time in thinking about the best memory layout, so just tell the database what you need and it will store the data in a way that suits the DB engine best (usually).
If you want to align your data, you'll need exact knowledge of the internal data organization: How is the string stored? One, two or 4 bytes to store the length? Is it stored as plain byte sequence or encoded in UTF-8 UTF-16 UTF-32? Does the DB need extra bytes to identify NULL or > MAXINT values? Maybe the string is stored as a NUL-terminated byte sequence - then one byte more is needed internally.
Also with VARCHAR it is not neccessary true, that the DB will always allocate 100 (128) bytes for your string. Maybe it stores just a pointer to where space for the actual data is.
So I'd strongly suggest to use VARCHAR(100) if that is your requirement. If the DB decides to align it somehow there's room for extra internal data, too.
Other way around: Let's assume you use VARCHAR(128) and all things come together: The DB allocates 128 bytes for your data. Additionally it needs 2 bytes more to store the actual string length - makes 130 bytes - and then it could be that the DB aligns the data to the next (let's say 32 byte) boundary: The actual data needed on the disk is now 160 bytes 8-}
Yes but it's not that simple. Sometimes 128 can be better than 100 and sometimes, it's the other way around.
So what is going on? varchar only allocates space as necessary so if you store hello world in a varchar(100) it will take exactly the same amount of space as in a varchar(128).
The question is: If you fill up the rows, will you hit a "block" limit/boundary or not?
Databases store their data in blocks. These have a fixed size, for example 512 (this value can be configured for some databases). So the question is: How many blocks does the DB have to read to fetch each row? Rows that span several block will need more I/O, so this will slow you down.
But again: This doesn't depend on the theoretical maximum size of the columns but on a) how many columns you have (each column needs a little bit of space even when it's empty or null), b) how many fixed width columns you have (number/decimal, char), and finally c) how much data you have in variable columns.

Why historically do people use 255 not 256 for database field magnitudes?

You often see database fields set to have a magnitude of 255 characters, what is the traditional / historic reason why? I assume it's something to do with paging / memory limits, and performance but the distinction between 255 and 256 has always confused me.
varchar(255)
Considering this is a capacity or magnitude, not an indexer, why is 255 preferred over 256? Is a byte reserved for some purpose (terminator or null or something)?
Presumably varchar(0) is a nonsense (has zero capacity)? In which case 2^8 of space should be 256 surely?
Are there other magnitudes that provide performance benefits? For example is varchar(512) less performant than varchar(511) or varchar(510)?
Is this value the same for all relations databases, old and new?
disclaimer - I'm a developer not a DBA, I use field sizes and types that suit my business logic where that is known, but I'd like to know the historic reason for this preference, even if it's no longer relevant (but even more if it still is relevant).
Edit:
Thanks for the answers, there seems to be some concensus that a byte is used to store size, but this doesn't settle the matter definitively in my mind.
If the meta data (string length) is stored in the same contiguous memory/disk, it makes some sense. 1 byte of metadata and 255 bytes of string data, would suit each other very nicely, and fit into 256 contiguous bytes of storage, which presumably is neat and tidy.
But...If the metadata (string length) is stored separately from the actual string data (in a master table perhaps), then to constrain the length of string's data by one byte, just because it's easier to store only a 1 byte integer of metadata seems a bit odd.
In both cases, it would seem to be a subtlety that probably depends on the DB implementation. The practice of using 255 seems pretty widespread, so someone somewhere must have argued a good case for it in the beginning, can anyone remember what that case was/is? Programmers won't adopt any new practice without a reason, and this must have been new once.
With a maximum length of 255 characters, the DBMS can choose to use a single byte to indicate the length of the data in the field. If the limit were 256 or greater, two bytes would be needed.
A value of length zero is certainly valid for varchar data (unless constrained otherwise). Most systems treat such an empty string as distinct from NULL, but some systems (notably Oracle) treat an empty string identically to NULL. For systems where an empty string is not NULL, an additional bit somewhere in the row would be needed to indicate whether the value should be considered NULL or not.
As you note, this is a historical optimisation and is probably not relevant to most systems today.
255 was the varchar limit in mySQL4 and earlier.
Also 255 chars + Null terminator = 256
Or 1 byte length descriptor gives a possible range 0-255 chars
255 is the largest numerical value that can be stored in a single-byte unsigned integer (assuming 8-bit bytes) - hence, applications which store the length of a string for some purpose would prefer 255 over 256 because it means they only have to allocate 1 byte for the "size" variable.
From MySQL Manual:
Data Type:
VARCHAR(M), VARBINARY(M)
Storage Required:
L + 1 bytes if column values require 0 – 255 bytes, L + 2 bytes if values may require more than 255 bytes
Understand and make choice.
255 is the maximum value of a 8 bit integer : 11111111 = 255.
Are there other magnitudes that provide performance benefits? For example is varchar(512) less performant than varchar(511) or varchar(510)?
Recollected the fundamentals of the bits/bytes storage, it requires one byte to store integers below 256 and two bytes for any integer between 256 and 65536.
Hence, it requires same space (two bytes) to store 511 or 512 or for that matter 65535....
Thus it is clear that the this argument mentioned in the discussion above is N/A for varchar(512) or varchar(511).
A maximum length of 255 allows the database engine to use only 1 byte to store the length of each field. You are correct that 1 byte of space allows you to store 2^8=256 distinct values for the length of the string.
But if you allow the field to store zero-length text strings, you need to be able to store zero in the length. So you can allow 256 distinct length values, starting at zero: 0-255.
It used to be that all strings required a NUL terminator, or "backslash-zero". Updated databases don't have that. It was "255 characters of text" with a "\0" added automatically at the end so the system knew where the string ended. If you said VARCHAR(256), it would end up being 257 and then you'd be in the next register for one character. Wasteful. That's why everything was VARCHAR(255) and VARCHAR(31). Out of habit the 255 seems to have stuck around but the 31's became 32's and the 511's became 512's. That part is weird. It's hard to make myself write VARCHAR(256).
Often varchars are implemented as pascal strings: holding the actual length in the byte #0. The length was therefore bound to 255. (Value of a byte varies from 0 to 255.)
8 bits unsigned = 256 bytes
255 characters + byte 0 for length
I think this might answer your question. Looks like it was the max limit of varchar in earlier systems. I took it off another stackoverflow question.
It's hard to know what the longest postal address is, of course, which is why many people choose a long VARCHAR that is certainly longer than any address. And 255 is customary because it may have been the maximum length of a VARCHAR in some databases in the dawn of time (as well as PostgreSQL until more recently).
Are there disadvantages to using a generic varchar(255) for all text-based fields?
Data is saved in memory in binary system and 0 and 1 are binary digits. Largest binary number that can fit in 1 byte (8-bits) is 11111111 which converts to decimal 255.

How do you handle BLOB and numerical data efficiently in database communication?

SQL databases seem to be the cornerstone of most software. However, it seems optimized for textual data. In fact when doing any queries involving numerical data, integers specifically, it seems inefficient that the numbers are getting converted to text and then back to native formats both ways between the application and the database. This same inefficiency seems to apply to BLOB data as well. My understanding is that even with something like Linq to SQL, this two way conversion is occuring in the background.
Are there general ways to bypass this overhead with SQL? Are there certain database management systems that handle this more efficiently than others (ie, with non-standard extensions/API's)?
Clarification. In the following select statement, the list of numbers after IN could be more easily passed as a raw array of int, but there seems to be no way of achieving that optimization level.
SELECT foo FROM bar WHERE baz IN (23, 34, 45, 9854004, ...)
Don't suppose. Measure.
Format conversion is not likely to be a measurable cost for database work, unless you are misusing the database as an arithmetic engine.
The IO cost for LOBs, especially for CLOBS with character conversion, can become significant; the remedy here, once you know that the simplest thing that might work actually has a noticeable performance impact, is to minimize the number of times you copy the LOB data. Use whatever SQL parameter binding style allows you to transfer the data directly between its point of creation or use, and the database -- often this is binding the LOB to a stream or I/O channel.
But don't do this until you have a way to measure the impact, and have measurements showing that this is your bottleneck.
Numerical data in a database is not stored as text. I guess it depends on the database, but it certainly doesn't have to be and isn't.
BLOBs are stored exactly how you set them -- by definition, the DB has no way to interpret the information -- I guess it could compress if it found that to be useful. BLOBs are not translated into text.
Here's how Oracle stores numbers:
http://download.oracle.com/docs/cd/B28359_01/server.111/b28318/datatype.htm#i16209
Internal Numeric Format
Oracle Database stores numeric data in variable-length format. Each value is stored in scientific notation, with 1 byte used to store the exponent and up to 20 bytes to store the mantissa. The resulting value is limited to 38 digits of precision. Oracle Database does not store leading and trailing zeros. For example, the number 412 is stored in a format similar to 4.12 x 102, with 1 byte used to store the exponent(2) and 2 bytes used to store the three significant digits of the mantissa(4,1,2). Negative numbers include the sign in their length.
MySQL info here:
http://dev.mysql.com/doc/refman/5.0/en/numeric-types.html
Look at the table -- a TINYINT is represented in 1 byte (range -128 - 127), not possible if stored as text.
EDIT: With the clarification -- I would say use the API in your language that looks something like this (pseudocode)
stmt = conn.Prepare("SELECT * FROM TABLE where x in (?, ?, ?)");
stmt.SetInt(0, x);
stmt.SetInt(1, y);
stmt.SetInt(2, z);
I don't believe that the underlying protocols use text for the transport of parameters.

in sql,How does fixed-length data type take place in memory?

I want to know in sql,how fixed-length data type take places length in memory?I know is that for varchar,if we specify length is (20),and if user input length is 15,it takes 20 by setting space.for varchar2,if we specify length is (20),and if user input is 15,it only take 15 length in memory.So how about fixed-length data type take place?I searched in Google,but I did not find explanation with example.Please explain me with example.Thanks in advance.
A fixed length data field always consumes its full size.
In the old days (FORTRAN), it was padded at the end with space characters. Modern databases might do that too, but either implicitly trim trailing blanks off or the query might have to do it explicitly.
Variable length fields are a relative newcomer to databases, probably in the 1970s or 1980s they made widespread appearances.
It is considerably easier to manage fixed length record offsets and sizes rather than compute the offset of each data item in a record which has variable length fields. Furthermore, a fixed length data record is easily addressed in a data file by computing the byte offset of its beginning by multiplying the record size times the record number (and adding the length of whatever fixed header data is at the beginning of file).