metaSQL.anubis
145 KB
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The Anubis project
Interfacing a database with Anubis
Author: Alain Prouté (May-July 2013)
This file contains a 'metaprogram', that is to say a program which generates an
Anubis source file to be part of your own program. It also contains directly
usable functions.
This system is independant of the particular database software you are using.
Nevertheless, it needs some database dependant stuff, but all this stuff is gathered
into a single datum (object) of type:
public type MetaSQL_Specific:... (an essentially opaque type)
This type is independant of the database software. Only the datum of this type
produced by the function 'metaSQL_make_specific' is dependant on the database software.
Such a function can be found for example in 'metaSQL_Postgres.anubis'.
If you use this metaprogram, you can use a database with only an approximate knowledge
of the SQL language. Nevertheless, you need to have basic notions about databases, and
in particular about how to design well behaved databases.
In an Anubis program, a row of data comming from a SELECT request should be a single datum whose
type has only one alternative within which each component corresponds to a datum of this
row. This is of course not difficult to transform a row got from a network connection
with a database into such a single datum. However, this transformation may encounter
many problems. For example, we may have a transmission problem (network error), a
particular datum cannot be converted into the required type (for example, a datum
which must be an integer cannot be converted using 'decimal_scan'), etc. As a consequence,
writing down safe and complete translation functions in Anubis, taking into account
all possible errors (even if they are not likely to occur) is a huge and boring work.
One of the purposes of this metaprogram is to generate these functions automatically from a
formal description of the database and of the queries you want to execute.
This metaprogram also provides tools for initializing the database or automatically
modifying it in case you change its description. It also provides a web interface
for administering your database.
This metaprogram also provides other avantages. It is able to check that queries
satisfy some required conditions (for example, that 'INSERT' gets an actual value for
each NOT NULL column), so that the corresponding error will not happen at execution time.
It also checks properties of the database description itself. The list of verifications
provided by this program is given below.
Using this metaprogram puts to some extent the use of the database under the control
of the Anubis compiler. For example, if you change the attributes of a column by adding
the condition UNIQUE, it may be the case that the return type of some queries is changed.
This will of course be detected by the Anubis compiler when compiling your own program if
it has not been modified accordingly. Hence, you get more safety than if your Anubis program
does not know the precise structure of your database. You will discover other features of
metaSQL by using it.
Enjoy !
---------------- Table of Contents ------------------------------------------------
*** (0) Before you read the sequel, make an experiment.
*** (1) How it works.
*** (2) Classifying SQL commands.
*** (3) Formal description of the database.
*** (3.1) 'MetaSQL_Type' (data types of table columns).
*** (3.2) 'MaybeNull'.
*** (3.3) 'MetaSQL_Prepared' (values prepared for being sent to the database)
*** (3.4) 'MetaSQL_Attr' (attributes of columns).
*** (3.5) 'MetaSQL_PrimKey' (chosing to have a primary key column in a table).
*** (3.6) 'MetaSQL_ColStruct' (describing a column in a table).
*** (3.7) 'MetaSQL_TabStruct' (describing a table).
*** (3.8) 'MetaSQL_DBStruct' (describing a whole database).
*** (4) Formal description of queries (metaqueries).
*** (4.1) 'MetaSQL_Column' (naming columns in WHERE clauses).
*** (4.2) 'MetaSQL_Var' (introducing variables in WHERE clauses).
*** (4.3) 'MetaSQL_Where' (describing a WHERE clause).
*** (4.4) 'MetaSQL_Range' (getting only a range of rows in a SELECT query).
*** (4.5) 'MetaSQL_DML' (describing queries for the DML part of SQL).
*** (4.6) Convenience functions for SELECT queries.
*** (5) The function 'make_queries'.
*** (6) Cursors.
*** (7) Constructing the 'specific datum'.
*** (8) Some useful types and tools.
*** (8.1) 'MetaSQL_Id'.
*** (8.2) 'MetaSQL_Answer'.
*** (8.3) Conversion functions.
*** (8.3.1) Converting 'anubis(...)' to and fro.
*** (8.3.2) Converting 'binary' and 'binary_or_null' to and fro.
*** (8.3.3) Converting 'boolean' and 'boolean_or_null' to and fro.
*** (8.3.4) Converting 'date' and 'date_or_null' to and fro.
*** (8.3.5) Converting 'foreign' and 'foreign_or_null' to and fro.
*** (8.3.6) Converting 'integer?' and 'integer?_or_null' to and fro.
*** (8.3.7) Converting 'char/text' and 'char_or_null/text_or_null' to and fro.
*** (9) Transactions.
*** (10) Verifications performed by this metaprogram.
*** (10.1) Cycles of references in the database.
*** (10.2) Values provided to _INSERT.
*** (10.3) Coherence of WHERE clauses.
*** (11) Creating the database and modifying its structure.
*** (12) Database administration through the web.
-----------------------------------------------------------------------------------
*** (0) Before you read the sequel, make an experiment.
Copy the file 'library/data_base/metaSQL_example_queries.anubis' into a working directory, and
compile it. This will generate the file 'metaSQL_example_output.anubis' (in the same
working directory). Compare both files and you will understand in advance most
of what is explained in details below.
You are encouraged to make modifications to your copy of 'metaSQL_example.anubis' and
see what happens in the generated file.
*** (1) How it works.
In order to use this 'metaprogram', create a file named for example 'meta_queries.anubis',
within which you write what is shown below. It is recommanded to make a directory 'generated'
within your source directory, where automatically generated files will be put. This helps
to distinguish manually written Anubis files from automatically generated Anubis files
(which are not true source files, and which should never be modified by hand).
--- The file 'meta_queries.anubis' ----------------------------------------------
My Project
Interfacing my Anubis program with my database.
Blah blah blah ... (good practice is to comment)
read data_base/metaSQL.anubis
--- Description of my database:
define MetaSQL_DBStruct
my_database
=
... describe your database here (see below) ...
--- Description of all my queries:
define List(MetaSQL_DML) // DML stands for 'Data Manipulation Language' (a part of SQL)
my_queries
=
[
... here is the description of all your queries (see below) ...
].
--- The module that will generate the new Anubis file:
global define One
make_my_queries // you can choose another name for this module
(
List(String) args // actually not used
) =
make_queries // this function is defined in this metaprogram
(
"generated/queries.anubis", // the path of the Anubis file to be generated
... // other arguments (see below)
).
--- Generate the file 'generated/queries.anubis':
execute anbexec make_my_queries
--- Check it:
This is just for testing that the generated file compiles ok. In any case, this does not
waste compilation time since during a compilation each file is read only once regardless
of the number of 'read' of this file.
read generated/queries.anubis
--- End of 'meta_queries.anubis' ------------------------------------------------
After the file 'meta_queries.anubis' is compiled, the file 'generated/queries.anubis'
exists and may be 'read' by other files in your source directory. You should probably
put a 'read meta_queries.anubis' close to the beginning of the main file of your program,
in order to generate 'generated/queries.anubis' before needing to 'read' it.
*** (2) Classifying SQL commands.
The SQL language is naturally divided into several sections:
(1) The structure of the database is setup by SQL commands like CREATE,
ALTER, DROP, ... applied to tables, indexes, ...
(2) The access to the database is controled by commands like GRANT, REVOKE, ...
(3) The everyday manipulation of data is performed by the 4 commands INSERT,
UPDATE, SELECT and DELETE, with the help of essentially two mecanisms:
'cursors' (for retrieving large amounts of data in several steps), and
'transactions' for ensuring the integrity of data manipulation. Cursors
use the commands DECLARE, MOVE, FETCH and CLOSE, while transactions use
the commands BEGIN, COMMIT and ROLLBACK.
The program in this file deals only with points (1) and (3), that is the so-called
'Data Definition Language', aka 'DDL' and the 'Data Manipulation Language', aka 'DML'.
Point (2), the 'Data Control Language', aka 'DCL' may be handled in the future.
In a program using a database (for example a web site), the same SQL command is
issued many times a day but with different values of its parameters. For example,
retrieving the row whose 'id' is 5 in the table 'product' may be performed by:
SELECT * FROM product WHERE id = '5';
This query will be issued many times a day, but the value of the 'id' will just
be different almost each time. Hence, such a query can be divided into two parts:
the 'constant part' and the 'variable part'. Ideally, in Anubis, we should have
a function of type:
(Int id) -> Result(String /* error message*/,Product)
for executing this query. Of course, this function contains several things
within its microcontext, in particular, another function (the 'query function'),
itself containing in its own microcontext a network connection to the database.
Tools for easily constructing this kind of function are automatically generated
by this metaprogram.
In order to generate such tools, metaSQL needs two things: a formal
description of the database and a formal description of the queries.
*** (3) Formal description of the database.
*** (3.1) 'MetaSQL_Type' (data types of table columns).
Sorts of data we can find in the database are listed below. We consider that the
fact of being 'nullable' is a matter of type, hence the following definition:
public type MetaSQL_Type:
anubis(String _T), // the datum of type _T is serialized and base64 encoded
binary, // contains a byte array
binary_or_null, // contains a byte array or NULL
boolean, // true or false
boolean_or_null, // true or false or NULL
date, // date with the precision of the day
date_or_null, // date with the precision of the day or NULL
time, // time with the precision of the second
time_or_null, // time with the precision of the second or NULL
datetime, // datetime with the precision of the second
datetime_or_null, // datetime with the precision of the second or NULL
foreign(String table_name), // foreign key to 'id' in another (or same) table.
foreign_or_null(String table_name), // foreign key to 'id' in another (or same) table or NULL
integer16, // 16 bits integer
integer16_or_null, // 16 bits integer or NULL
integer32, // 32 bits integer
integer32_or_null, // 32 bits integer or NULL
integer, // integer of arbitrary size
integer_or_null, // integer of arbitrary size or NULL
char(Int size), // text of maximal size 'size' (number of characters)
char_or_null(Int size), // text of maximal size 'size' (number of characters) or NULL
text, // text of variable size
text_or_null. // text of variable size or NULL
From the point of view of your Anubis program, these data will be of types:
Name | Anubis type | Type within the database
----------+-------------------+--------------------------------------------------
anubis | T (serializable) | text (base64 encoded serialization)
binary | ByteArray | text (the byte array base64 encoded)
boolean | Bool | boolean
date | String | text (date in ISO-8601 format: yyyy-mm-dd)
time | String | text (date in ISO-8601 format: hh:mm:ss)
datetime | String | text (date in ISO-8601 format: yyyy-mm-dd hh:mm:ss)
foreign | MetaSQL_Id | 64 bits integer
integer16 | Word16 | 16 bits integer
integer32 | Word32 | 32 bits integer
integer | Int | arbitrary size integer (numeric)
char | String | max size text
text | String | arbitrary size text
and similarly for nullable types, except that the Anubis type is wrapped into a 'MaybeNull(...)'.
*** (3.2) 'MaybeNull'.
This type scheme is isomorphic to 'Maybe', and is used for representing data which
can have the value 'NULL'. We don't use 'Maybe' for this purpose because
we want to avoid the misleading 'Maybe(Maybe(...))'. Instead, we will have
sometimes 'Maybe(MaybeNull(...))', so that 'null' means 'NULL', and 'failure'
means an error.
public type MaybeNull($T):
null,
not_null($T value).
Conversion tools between date, time and datetime in ISO-8601 format and 'Int'
(number of seconds since the epoch) are provided in 'library/tools/ISO-8601.anubis'.
*** (3.3) 'MetaSQL_Prepared' (values prepared for being sent to the database)
Data must be formated (prepared) as appropriate strings in order to be inserted into queries.
Such prepared strings are not of type String but of type:
public type MetaSQL_Prepared:... (an opaque type)
This is for avoiding any confusion between a prepared string and any other kind of string.
*** (3.4) 'MetaSQL_Attr' (attributes of columns).
Possible attributes of columns: (each column has a list of such attributes)
public type MetaSQL_Attr:
unique, // by default, the values in a column are not required to be all different
indexed, // by default, a column is not indexed
default(MetaSQL_Prepared). // default value (used in case of creation of a NON NULL column
// in a table which already contains some rows)
Of course, 'NOT NULL' is not an alternative of 'MetaSQL_Attr' because it is already coded into the
database type itself (type 'MetaSQL_Type' above).
*** (3.5) 'MetaSQL_PrimKey' (chosing to have a primary key column in a table).
'MetaSQL_PrimKey': does the table have a primary key or not ?
public type MetaSQL_PrimKey:
with_pk, // with 64 bits primary key
no_pk. // without primary key
Note: A primary key column is always named 'id', it is of type MetaSQL_Id as far as Anubis
is concerned, and has attributes 'UNIQUE', 'NOT NULL' and 'INDEXED'. Futhermore, it
is a serializing field, i.e. each new row inserted in the table receives a new 'id'
automatically (by the database itself). In particular, 'id' must not be given an
explicit value in an INSERT command.
'id' should be present in the case of a table of 'entities', even if there is another
column with attribute 'unique'. For example, in a web site, where users may be
registered, they can be uniquely identified by their email address. Nevertheless, despite
the fact that the column 'email' has attribute 'unique', you should still have an 'id'
column. Of course, this allows users to change their email address, but there are more
general reasons. The two columns 'id' and 'email' do not have equivalent behaviors as
demonstrated below. Indeed, if you get an email address via the network (someone filling
up a registration form for example) you have to check if this address is already in the
database. To that end, you use a SELECT command, with condition email = ..., and the
number of rows in the answer can be:
0 the email address is not yet registered
1 the email address is already registered
Notice that none of these is an error. They are both normal behaviors.
Now, if you have the 'id' of a user at hand, this 'id' comes necessarily from the database.
This means that the corresponding row always exists, and the number of rows returned by
a SELECT command, with condition id = ... must always return one and only one row. The case
it returns 0 row is now an error. (In case you delete a row, you must of course abandon
the corresponding id which becomes non significant at that moment.)
Assuming that the Anubis type of a row is ROW (you choose this name yourself, but not the
definition of the type; see below), any description of a SELECT command with condition of
the form id = ... will generate a function returning (if no error occurs) a datum of type
ROW. On the contrary, any description of a SELECT command with a condition of a different
form will return a datum of type Maybe(Row) if the system knows the answer is unique (but
may not exist), and of type List(ROW) otherwise. Have a look at 'metaSQL_example.anubis'
and at the corresponding generated file to check this affirmation.
*** (3.6) 'MetaSQL_ColStruct' (describing a column in a table).
Description of a column:
public type MetaSQL_ColStruct:
col (String name, // name of ordinary column (i.e. all but 'id')
MetaSQL_Type type,
List(MetaSQL_Attr) attributes).
*** (3.7) 'MetaSQL_TabStruct' (describing a table).
Description of a table:
public type MetaSQL_TabStruct:
table (String name, // name of the table
MetaSQL_PrimKey pk, // with or without primary key column
List(MetaSQL_ColStruct) columns). // columns other than the primary key column (if any)
*** (3.8) 'MetaSQL_DBStruct' (describing a whole database).
Description of a whole database:
public type MetaSQL_DBStruct:
database (String name, // name of the database
List(MetaSQL_TabStruct) tables). // list of all tables in the database
Note: indexes are described via the attributes and will be generated accordingly.
*** (4) Formal description of queries (metaqueries).
SQL commands from the DML are represented by the following type:
public type MetaSQL_DML:... (defined below)
This type has alternatives corresponding to INSERT, SELECT, UPDATE and DELETE, but the
components need auxiliary types, that we now define.
*** (4.1) 'MetaSQL_Column' (naming columns in WHERE clauses).
A 'SELECT' query may refer to several columns not all in the same table ('joins').
Hence, we must define the notion of 'selection of columns'. This is a list of data of type:
public type MetaSQL_Column:
String table_name.String column_name.
For example, "product"."price" is (the name of) a column (the column 'price' in the table 'product')
Note: be careful to avoid any space around the dot, because in Anubis, a dot followed by a space
(used as end of paragraph or in the list notation '[_ . _]') is not the same operator as a dot not
followed by a space (used here).
However, you may also just want to 'count' the number of rows in the result. Hence, the
following type:
public type MetaSQL_Selection:
columns (List(MetaSQL_Column) selected_columns), // get the rows
count (List(MetaSQL_Column) selected_columns). // get only the number of rows
The same one in case there is only one table involved in the query:
public type MetaSQL_Selection1:
columns (List(String) selected_columns), // get the rows
count (List(String) selected_columns). // get only the number of rows
*** (4.2) 'MetaSQL_Var' (introducing variables in WHERE clauses).
Most queries include a condition, also called a 'WHERE clause', which contains the 'variables'
taking different values at each call.
public type MetaSQL_Var: // variables for queries
var(String name).
*** (4.3) 'MetaSQL_Where' (describing a WHERE clause).
public type MetaSQL_Where: // formal description of a 'WHERE' clause
MetaSQL_Column = MetaSQL_Var, // equality of values
MetaSQL_Column = MetaSQL_Column, // useful if in two distinct tables
MetaSQL_Column < MetaSQL_Var, // comparison for numbers, dates, ...
MetaSQL_Var < MetaSQL_Column,
MetaSQL_Column =< MetaSQL_Var,
MetaSQL_Var =< MetaSQL_Column,
is_null (MetaSQL_Column), // 'is null' test
is_not_null (MetaSQL_Column), // 'is not null' test
contains (MetaSQL_Column, MetaSQL_Var), // check if the datum contains a given substring
true,
false,
MetaSQL_Where & MetaSQL_Where, // 'AND'
MetaSQL_Where | MetaSQL_Where, // 'OR'
~ MetaSQL_Where. // 'NOT'
The same one, but with column names without table name (used when there is only one table
involved in a SELECT). Actually, this is just to put some syntactic sugar.
public type MetaSQL_Where1:
String = MetaSQL_Var, // equality of values
String < MetaSQL_Var, // comparison for numbers, dates, ...
MetaSQL_Var < String,
String =< MetaSQL_Var,
MetaSQL_Var =< String,
is_null (String), // 'is null' test
is_not_null (String), // 'is not null' test
contains (String,MetaSQL_Var), // check if the datum contains a given substring
true,
false,
MetaSQL_Where1 & MetaSQL_Where1, // 'AND'
MetaSQL_Where1 | MetaSQL_Where1, // 'OR'
~ MetaSQL_Where1. // 'NOT'
*** (4.4) 'MetaSQL_Range' (getting only a range of rows in a SELECT query).
In a SELECT statement, you may not want to get all rows matching the condition but only
a number of rows starting at some row, i.e. a 'range' of rows. Notice that using this
is less efficient than using cursors, since the rows will be tested from the beginning
at each call. Also, it is not warranted that the result of the two methods is the same
one, if rows are updated or inserted between two calls.
public type MetaSQL_Range:
all, // get all matching rows
range(Int start, Int how_many). // get only a range of rows
The resulting table can be ordered. This is acheived by transimitting a list of 'MetaSQL_Order_by'.
public type MetaSQL_Order:
asc (MetaSQL_Column column),
desc (MetaSQL_Column column).
public type MetaSQL_Order1:
asc (String column),
desc (String column).
'asc' is for 'ascending' and 'desc' for descending. The resulting order is the lexicographic order
corresponding to this list.
*** (4.5) 'MetaSQL_DML' (describing queries for the DML part of SQL).
Below is the definition of the type 'MetaSQL_DML'. Each alternative has a 'query_name' component
which becomes the name of the function to be called for executing the query. Things which seem
to be missing in this definition (like form example the values to be inserted in the case of
_INSERT) become arguments to the generated function (typed according to the description
of the database).
public type MetaSQL_DML:
_INSERT
(
String query_name,
String table_name, // the name of the table into which a row must be inserted
List(String) columns_names // all 'NOT NULL' columns (except 'id') must be present
// and 'id' must not be present
// values are provided as arguments to the generated function
),
_SELECT
(
String query_name,
String output_type_name, // name for the output type (for rows) of the generated function
MetaSQL_Selection selection, // a selection of columns from several tables
MetaSQL_Where condition,
MetaSQL_Range range,
List(MetaSQL_Order) order
// some convenience variants of this are provided (see below)
),
_UPDATE
(
String query_name,
String table_name,
List(String) column_names,
MetaSQL_Where1 condition
// values are provided as arguments to the generated function
),
_DELETE
(
String query_name,
String table_name,
MetaSQL_Where1 condition
).
Note: the names of the queries need not be unique provided the generated functions may be
distinguished by their types.
Note: the name of the output type for rows in _SELECT queries need not be unique provided that
any two usages of this name correspond to types with the same components. In other words,
if you use the same name for the output type in two _SELECT queries, ensure that the
selections of columns (3rd argument) are identical. Anyway, if it is not the case, this
will be detected by the Anubis compiler at the compilation of the generated file.
*** (4.6) Convenience functions for SELECT queries.
In case there is only one table used in a SELECT, you can use this more handy function,
so that, for example, you can write "price" instead of "product"."price".
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition,
MetaSQL_Range range
).
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition,
List(MetaSQL_Order1) order
).
The same one without the 'range' argument (assumed to be 'all'):
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition
).
*** (5) The function 'make_queries'.
The function 'make_queries' (the main function for generating the target file)
is declared as follows:
public define One
make_queries
(
String target_file_path, // for example "generated/queries.anubis"
List(String) files_to_be_read,
List(MetaSQL_DML) metaqueries,
MetaSQL_DBStruct database_description
).
The arguments are:
(1) the path of the file to be generated,
(2) a list of file paths, each of which will generate a 'read ...' at the beginning
of the generated file (just after the standard 'reads'),
(3) the description of your queries,
(4) the description of your database.
*** (6) Cursors.
Not yet implemented in metaSQL.
*** (7) Constructing the 'specific datum'.
If your database software is Postgresql, just write:
read data_base/metaSQL_Postgres.anubis
...
with specific = metaSQL_make_specific(...),
in order to construct the specific datum. At the time I'm writing this, only Postgresql is
available. I hope people will soon provide interfaces to other database softwares.
If you want to provide one, have a look at metaSQL_Postgres.anubis, and write the almost
same program for the other database software. More explanations to be found there.
*** (8) Some useful types and tools.
*** (8.1) 'MetaSQL_Id'.
A datum of this type is the identifier of a row in a table of the database.
public type MetaSQL_Id:... (an opaque type)
*** (8.2) 'MetaSQL_Answer'.
The answer to a query as returned by a database software can be:
- an error message,
- an aknowledgment (for example, the result of an INSERT),
- a table (for example, the result of a SELECT),
- an information message.
Hence, we define the following type for handling the answers returned by your database software:
public type MetaSQL_Answer:
error (String message),
command_complete,
table (List(List(MaybeNull(ByteArray))) rows),
informations (String infos).
When the answer is a table, this is just a list of rows, and each row a list of data. Each
datum can be NULL (null) or NOT NULL (not_null(...)). Hence this definition.
The functions generated by the metaprogram transform such an answer into a datum easier to
use in your Anubis program.
*** (8.3) Conversion functions.
The system needs two kinds of conversion functions.
The first kind 'prepares' data for insertion into queries. Their name begins by
'prepare_' and they all have 'MetaSQL_Prepared'as their return type. You need to
use one of them if you have to put the attribute 'default(...)' to a column, because
the operand of default is of type 'MetaSQL_Prepared'.
The second kind is used for transforming byte arrays received from the database
into data of various Anubis types. Normally you don't have to use them directly.
Their names are prefixed by 'convert_'.
*** (8.3.1) Converting 'anubis(...)' to and fro.
The type $T must be serializable.
public define MetaSQL_Prepared prepare_anubis ($T datum).
public define Maybe($T) convert_to_anubis (MaybeNull(ByteArray) mbnb).
*** (8.3.2) Converting 'binary' and 'binary_or_null' to and fro.
The communication with the database is assumed to be of type 'text' not of type
'binary'. Hence, byte arrays are converted into strings via base64 before being
inserted into a SQL query (hence, they are stored as character strings in the
database).
public define MetaSQL_Prepared prepare_binary (ByteArray b).
public define MetaSQL_Prepared prepare_binary_or_null (MaybeNull(ByteArray) b).
Conversely, 'binary' data arrive in the form of 'MaybeNull(ByteArray)'. In the case
of 'null' the result is an error for 'binary' and NULL for 'binary_or_null'. Otherwise,
the result is concverted to a string, and base64 decoded, which yields a byte array
again.
public define Maybe(ByteArray) convert_to_binary (MaybeNull(ByteArray) b).
public define MaybeNull(ByteArray) convert_to_binary_or_null (MaybeNull(ByteArray) b).
*** (8.3.3) Converting 'boolean' and 'boolean_or_null' to and fro.
Booleans are transformed into the keywords TRUE and FALSE (official SQL).
public define MetaSQL_Prepared prepare_boolean (Bool b).
public define MetaSQL_Prepared prepare_boolean_or_null (MaybeNull(Bool) b).
Conversely, more forms of booleans are recognized, such as 't', '1', 'y' for TRUE.
The output conversion functions are case insensitive.
public define Maybe(Bool) convert_to_boolean (MaybeNull(ByteArray) b).
public define MaybeNull(Bool) convert_to_boolean_or_null (MaybeNull(ByteArray) b).
*** (8.3.4) Converting 'date' and 'date_or_null' to and fro.
Dates (of type 'String' in Anubis) are stored into the database as ISO-8601 strings,
for example: 2013-05-24 09:34:23
We provide functions for conversion into Int (number of seconds since the 'epoch') and conversely
in 'library/tools/ISO-8601.anubis'.
public define MetaSQL_Prepared prepare_date (String b).
public define MetaSQL_Prepared prepare_date_or_null (MaybeNull(String) b).
public define Maybe(String) convert_to_date (MaybeNull(ByteArray) b).
public define MaybeNull(String) convert_to_date_or_null (MaybeNull(ByteArray) b).
*** (8.3.5) Converting 'foreign' and 'foreign_or_null' to and fro.
public define MetaSQL_Prepared prepare_foreign (MetaSQL_Id i).
public define MetaSQL_Prepared prepare_foreign_or_null (MaybeNull(MetaSQL_Id) i).
public define Maybe(MetaSQL_Id) convert_to_foreign (MaybeNull(ByteArray) b).
public define MaybeNull(MetaSQL_Id) convert_to_foreign_or_null (MaybeNull(ByteArray) b).
*** (8.3.6) Converting 'integer?' and 'integer?_or_null' to and fro.
The next functions are used for integer16, integer32 and integer.
public define MetaSQL_Prepared prepare_integer (Int f).
public define MetaSQL_Prepared prepare_integer_or_null (MaybeNull(Int) f).
public define Maybe(Int) convert_to_integer (MaybeNull(ByteArray) b).
public define MaybeNull(Int) convert_to_integer_or_null (MaybeNull(ByteArray) b).
*** (8.3.7) Converting 'char/text' and 'char_or_null/text_or_null' to and fro.
The same functions are used for 'text/text_or_null' and 'vartext/vartext_or_null'.
Litteral texts must be 'prepared' before they can be included into
SQL commands (this amounts to doubling the single quotes).
public define MetaSQL_Prepared prepare_text (String t).
public define MetaSQL_Prepared prepare_text_or_null (MaybeNull(String) t).
Conversely, texts arrive from the database in the form of byte arrays which must be
converted to strings. The two functions for converting to 'text' and to 'text_or_null'
are almost the same one. The only difference is that 'null' is interpreted as an error in
the case of 'text'.
public define Maybe(String) convert_to_text (MaybeNull(ByteArray) mbba).
public define MaybeNull(String) convert_to_text_or_null (MaybeNull(ByteArray) mbba).
*** (9) Transactions.
Transactions are absolutely required in some circumstances. They allow to consider a sequence of
several queries as an 'atomic' operation, that is to say an operation which may either have no effect
at all on the database it it fails, or which is correctly completed if it succeeds. In other words,
executing the sequence of queries only partially becomes impossible, so that the integrity of the
database is warranted, and other users of the database can see the final result only (or nothing at
all if the sequence fails at some point).
Define a function, say 'sequence', of type '(String -> MetaSQL_Answer) -> Result(String,T)' where
the type T is the type of the result you want to get after the sequence of queries is successfully
executed. The function 'sequence' is supposed to send several queries to the database. It must return the
value 'error(msg)' (where 'msg' is an error message) if the sequence fails. Otherwise, it must return
'ok(result)', where 'result' is the wanted result.
In order to wrap this sequence of queries into a transaction just write:
transaction(qf)(sequence)
where 'qf' is the 'query function' (of type String -> MetaSQL_Answer). It is available as the component
named 'query_function' of the 'specific datum' (of type MetaSQL_Specific) constructed by
metaSQL_make_specific. For example, you can write instead of the above (where 'specific' is the
'specific datum'):
with qf = query_function(specific),
transaction(qf)(sequence)
or like this if you prefer:
with qf = specific.query_function,
sequence.(qf.transaction)
(or a mix of both).
The term 'transaction(qf)(sequence)' is of type 'Result(String,T)'. If it returns 'error(msg)',
the database was not affected by its execution. If it returns 'ok(result)', the complete
sequence of queries was successfully executed, and you have the result at hand.
Notice that the function 'sequence' should decide to send a given query only if the previous ones
in the sequence are successful. This is the reason why the sequence cannot be just a list of
queries (or a list of descriptions of queries), but must be a function written outside the description
of queries, and using all the expressiveness of the language.
The function 'transaction' is declared as follows:
public define ((String -> MetaSQL_Answer) -> Result(String,$T)) -> Result(String,$T)
transaction
(
String -> MetaSQL_Answer query_function
).
It is of type Q -> ((Q -> R) -> R) where Q is the type of the query function and R the type
'Result(String,T)'. So, it takes two successive arguments. The first one of type Q is the query function
which is needed to have access to the database, and the second one of type Q -> R is the 'sequence' function.
What 'transaction' does is just:
- send a 'BEGIN TRANSACTION' using the query function,
- apply the sequence function (of type Q -> R) to the query function (of type Q); this sends the
sequence of queries and yields a result of type T,
- depending on the result of the previous step ('error' or 'ok'), send either a 'ROLLBACK' or a
'COMMIT' to the database (using the query_function),
- return the appropriate result.
*** (10) Verifications performed by this metaprogram.
This metaprogram check that all the conditions below are fulfilled. If it is not the case,
error messages are sent (and the target Anubis file is not generated).
*** (10.1) Cycles of references in the database.
The foreign(_) data type implements references between tables. These references may create loops
(or cycles), including loops of length 1 (self references) in the case the table refers to itself
(which is useful for making lists). Since the tables are in a given order in your description of
the database, there are 3 sorts of references: forwards references, self references and backwards
references. It is a rule that forwards and self references must be nullable, while backwards
references may be either nullable or not, but preferably not nullable.
Notice that if you have a not null self reference in a table, it is impossible to insert any
row in this table. Indeed, since the reference is not null, it must be provided as an argument
which is impossible when there is still no row at all in the table.
Actually this rule ensures that the references between your tables are well-founded.
*** (10.2) Values provided to _INSERT.
An INSERT command must provide values for all non null columns. Thus, the list of column names
must contain the names of all non null columns. Furthermore, the names must be in the same order
as in the description of the table, and must not appear twice in the list. The name 'id' must
also not appear in the list since the database itself generates the value for this column.
*** (10.3) Coherence of WHERE clauses.
WHERE clauses must satisfy some (obvious) conditions, such as the fact that comparisons must apply
to type for which they are meaningful. Also the 'is_null' and 'is_not_null' tests can only apply
to nullable columns.
*** (11) Creating the database and modifying its structure.
Since your program contains a detailed description of your database, it is possible to automate
the creation of the database and the modifications of its structure. Use the function 'database_check'
for this purpose. It should be executed each time you restart your program. This function takes
the following arguments:
- the specific datum (in order to access the database),
- the description of the database.
It returns a result of type 'Result(List(String),One)'. In other words, if something fails,
you get a list of error messages, otherwise execution is transparent.
'database_check' first of all checks the coherence of your database description, i.e. it
executes the verifications explained in section (9).
If the database does not exist, 'database_check' creates it. It also creates, within the
database, a special table (whose name is 'MetaSQL_Description').
In this table, 'database_check' records the structure of the database, in other words the serialization
of your database description. If you stop your program and change the description of the database,
'database_check' will be able to compare the current description with the previous one. As a
consequence, it will be able to modify the structure of the database. Such modifications may involve:
- creating or deleting a table,
- creating or deleting a column in a table,
- modifying the type and attributes of a column,
- creating or deleting an index.
Of course, the previous structure of the database and data in deleted tables and columns are lost
during these operations. During these operations, 'database_check' locks the database (if possible).
After these operations are completed, 'database_check' updates the content of the special table
'MetaSQL_Description'.
Note: It is possible to change the structure of the database without stopping your program. Indeed,
instead of including the description of the database within your source files, store a serialization
of it into a file. This file can be read and unserialized (on demand) from within your running program.
At that moment, a 'database_check' could be executed, and the database will be modified. If your program
is a web site, it is likely that you will have to forbid normal client connections during that time.
*** (12) Database administration through the web.
The file 'library/data_base/metaSQL_admin.anubis' contains a function 'web_admin' of type:
(One -> MetaSQL_Specific) -> Web_Site
(where the type 'Web_Site' is described in 'library/web/making_a_web_site.anubis'). You can
include this web site in your program. It is suitable for administering your database. The argument
of type 'One -> MetaSQL_Specific' must be a function constructing a specific datum each time it is
applied to 'unique'.
--- That's all for the public part !----------------------------------------------------------------
read tools/basis.anubis
read tools/base64.anubis
read system/string.anubis
read tools/ISO-8601.anubis
*** [1] Tools.
*** [1.1] Concatenating strings which may not exist.
The concatenation function '+' for strings is defined in 'tools/basis.anubis'. Here we define
an extension of it to strings which may not exist (i.e. data of type 'Maybe(String)'). Of course,
the result is always of type 'Maybe(String)'.
define macro Maybe(String)
Maybe(String) s + String t
=
if s is
{
failure then failure,
success(s1) then success(s1+t)
}.
define macro Maybe(String)
String s + Maybe(String) t
=
if t is
{
failure then failure,
success(t1) then success(s+t1)
}.
define macro Maybe(String)
Maybe(String) s + Maybe(String) t
=
if s is
{
failure then failure,
success(s1) then if t is
{
failure then failure,
success(t1) then success(s1+t1)
}
}.
*** [1.2] A test for knowing if a database type is 'nullable'.
define Bool
nullable
(
MetaSQL_Type t
) =
if t is
{
anubis(_) then false,
binary then false,
binary_or_null then true,
boolean then false,
boolean_or_null then true,
date then false,
date_or_null then true,
time then false,
time_or_null then true,
datetime then false,
datetime_or_null then true,
foreign(String table_name) then false,
foreign_or_null(String table_name) then true,
integer16 then false,
integer16_or_null then true,
integer32 then false,
integer32_or_null then true,
integer then false,
integer_or_null then true,
char(Int size) then false,
char_or_null(Int size) then true,
text then false,
text_or_null then true
}.
*** [1.3] Formatting error messages sent by this metaprogram.
define String
error
(
String msg
) =
"*** Error: "+msg+"\n".
*** [1.4] Formatting error messages to be sent by the generated program.
define String
make_error
(
String msg
) =
"error(\""+msg+" in \"+__FILE__+\":\"+to_decimal(__LINE__))".
*** [1.5] Finding a table by its name.
public define Maybe(MetaSQL_TabStruct)
find_table
(
String table_name,
List(MetaSQL_TabStruct) tables
) =
if tables is
{
[ ] then print(error("Table '"+table_name+"' not found.")); failure,
[t1 . others] then
if t1 is table(n,_,_) then
if n = table_name
then success(t1)
else find_table(table_name,others)
}.
*** [1.6] Finding a column.
The next function is public because used in 'web/metaWEB_Form.anubis'.
public define Maybe(MetaSQL_ColStruct)
find_column
(
String col_name,
String table_name,
List(MetaSQL_ColStruct) tab_cols
) =
if tab_cols is
{
[ ] then print(error("There is no column '"+col_name+"' in table '"+table_name+"'.")); failure,
[c . others] then
if name(c) = col_name
then success(c)
else find_column(col_name,table_name,others)
}.
define Maybe(MetaSQL_ColStruct)
find_column
(
String col_name,
MetaSQL_TabStruct tab
) =
if tab is table(name,pk,cols) then
if pk is
{
with_pk then if col_name = "id"
then success(col("id",foreign(name),[]))
else find_column(col_name,name,cols),
no_pk then find_column(col_name,name,cols)
}.
*** [1.7] _SELECT with only one table.
'selection' must be converted from MetaSQL_Selection1 to MetaSQL_Selection and
'condition' must be converted from MetaSQL_Where1 to MetaSQL_Where.
define MetaSQL_Selection
convert
(
String table_name,
MetaSQL_Selection1 s
) =
if s is
{
columns(l) then columns(map((String cn) |-> table_name.cn,l))
count(l) then count(map((String cn) |-> table_name.cn,l))
}.
define List(MetaSQL_Order)
convert
(
String table_name,
List(MetaSQL_Order1) order
) =
if order is
{
[ ] then [ ],
[h . t] then if h is
{
asc(col) then [asc(table_name.col) . convert(table_name,t)]
desc(col) then [desc(table_name.col) . convert(table_name,t)]
}
}.
define MetaSQL_Where
convert
(
String table_name,
MetaSQL_Where1 w
) =
if w is
{
s = v then table_name.s = v,
s < v then table_name.s < v,
v < s then v < table_name.s,
s =< v then table_name.s =< v,
v =< s then v =< table_name.s,
is_null(s) then is_null(table_name.s),
is_not_null(s) then is_not_null(table_name.s),
contains(s,v) then contains(table_name.s,v),
true then true,
false then false,
w1 & w2 then convert(table_name,w1) & convert(table_name,w2),
w1 | w2 then convert(table_name,w1) | convert(table_name,w2),
~ w1 then ~convert(table_name,w1)
}.
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition,
MetaSQL_Range range
) =
_SELECT(query_name,
output_type_name,
convert(table_name,selection),
convert(table_name,condition),
range,
[]).
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition,
List(MetaSQL_Order1) order
) =
_SELECT(query_name,
output_type_name,
convert(table_name,selection),
convert(table_name,condition),
all,
convert(table_name,order)).
The same one without the 'range' argument:
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition
) =
_SELECT(query_name,
output_type_name,
convert(table_name,selection),
convert(table_name,condition),
all,
[]).
public define MetaSQL_DML
_SELECT
(
String query_name,
String output_type_name,
String table_name,
MetaSQL_Selection1 selection,
MetaSQL_Where1 condition
) =
_SELECT(query_name,
output_type_name,
convert(table_name,selection),
convert(table_name,condition),
all,
[]).
*** [2] Verifications concerning the description of the database and queries.
*** [2.1] Forbidden cycles in database references (also checks for duplicate table names).
define Maybe(String)
refers_forwards
(
String tname, // name of table refered to
List(MetaSQL_TabStruct) forwards // forwards tables
) =
if forwards is
{
[ ] then failure,
[t1 . others] then
with n = name(t1),
if n = tname
then success(n)
else refers_forwards(tname,others)
}.
define Bool
is_forbidden_reference
(
String table_name, // current table
MetaSQL_ColStruct column, // of current table
List(MetaSQL_TabStruct) forwards, // 'forwards' tables
List(String) backwards // names of 'backwards' tables
) =
if table_name:backwards then print(error("table name '"+table_name+
"' given to more than one table.")); true else
if column is col(cname,ctype,cattr) then
if ctype is foreign(n)
then if n = table_name
then print(error("column '"+cname+
"' in table '"+table_name+
"' is a non nullable self reference.")); true
else if refers_forwards(n,forwards) is
{
failure then
if n:backwards
then false // correct backwards reference
else print(error("column '"+cname+
"' in table '"+table_name+
"' refers to a non existing table.")); true,
success(ft_name) then print(error("column '"+cname+
"' in table '"+table_name+
"' is a non nullable forward reference to table '"+ft_name+"'.")); true
}
else false. // non foreign columns and foreign_or_null columns are not forbidden
define Bool
has_forbidden_references
(
String table_name, // the first 3 arguments concern the current table.
MetaSQL_PrimKey pk,
List(MetaSQL_ColStruct) columns,
List(MetaSQL_TabStruct) forwards, // subsequent tables
List(String) backwards // list of backwards table names
) =
if columns is
{
[ ] then false, // no forbidden reference found
[col1 . other_cols] then
if is_forbidden_reference(table_name,col1,forwards,backwards)
then true
else has_forbidden_references(table_name,pk,other_cols,forwards,backwards)
}.
define Bool // returns 'true' if there is at least one forbidden cycle.
has_forbidden_cycles
(
String db_name,
List(MetaSQL_TabStruct) tables,
List(String) backwards // names of 'backwards' tables
) =
if tables is
{
[ ] then false, // no forbidden cycle found
[tab1 . other_tabs] then if tab1 is table(name1,pk1,cols1) then
if has_forbidden_references(name1,pk1,cols1,other_tabs,backwards)
then true
else has_forbidden_cycles(db_name,other_tabs,[name1 . backwards])
}.
define Bool
is_forbidden_column_name
(
String name
) =
name = "id" | name = "metasqlcheck".
define Bool
has_forbidden_column_names
(
MetaSQL_TabStruct tab
) =
if tab is table(_,_,cols) then
mapor((MetaSQL_ColStruct cs) |->
if cs is col(name,_,_) then is_forbidden_column_name(name),
cols).
define Bool
has_forbidden_column_names
(
MetaSQL_DBStruct db
) =
if db is database(_,tables) then
mapor(has_forbidden_column_names,tables).
*** [2.2] Checking for missing arguments in INSERT.
define (List(String) missing_names,
List(String) non_existing_names)
check_cols
(
List(String) colnames, // the list of columns in the 'INSERT' query
List(String) tabcols // names of non nullable columns in the table
) =
(tabcols - colnames, colnames - tabcols).
define Bool
_INSERT_has_too_few_arguments
(
List(MetaSQL_TabStruct) tables,
List(MetaSQL_DML) queries
) =
if queries is
{
[ ] then false,
[q1 . others] then
if q1 is _INSERT(qname,tname,colnames)
then if find_table(tname,tables) is
{
failure then print(error("_INSERT metaquery '"+qname+
"' refers to a non existing table: '"+tname+"'.")); true,
success(tab) then
if tab is table(_,pk,tcols) then
if check_cols(colnames,map_select((MetaSQL_ColStruct c) |->
if nullable(type(c)) then failure else success(name(c)),
tcols)) is (missing,non_existing) then
if (missing = [] & non_existing = [])
then false
else (if missing /= [] then print(error("the _INSERT metaquery '"+qname+
"' must provide values for columns: "+concat(missing,",")+".")) else unique);
(if non_existing /= [] then print(error("the _INSERT metaquery '"+qname+
"' refers to non existing columns: "+concat(non_existing,",")+".")) else unique);
true
}
else _INSERT_has_too_few_arguments(tables,others)
}.
*** [2.3] Any table must have at least one ordinary column.
*** [2.4]
*** [2.?] Launching all verifications.
public type CheckDescriptionResult:
forbidden_column_names,
forbidden_cycles,
insert_has_too_few_arguments,
ok.
public define CheckDescriptionResult
check_description
(
List(MetaSQL_DML) queries,
MetaSQL_DBStruct db
) =
if has_forbidden_column_names(db) then forbidden_column_names else
if db is database(name,tables) then
if has_forbidden_cycles(name,tables,[]) then forbidden_cycles else
if _INSERT_has_too_few_arguments(tables,queries) then insert_has_too_few_arguments else
ok.
*** [3] Generating the target file.
*** [3.1] Converting a database type into the corresponding Anubis type:
public define String // used in 'web/metaWEB_Form.anubis'
to_Anubis
(
MetaSQL_Type typ
) =
if typ is
{
anubis(_T) then _T,
binary then "ByteArray",
binary_or_null then "MaybeNull(ByteArray)",
boolean then "Bool",
boolean_or_null then "MaybeNull(Bool)",
date then "String",
date_or_null then "MaybeNull(String)",
time then "String",
time_or_null then "MaybeNull(String)",
datetime then "String",
datetime_or_null then "MaybeNull(String)",
foreign(_) then "MetaSQL_Id",
foreign_or_null(_) then "MaybeNull(MetaSQL_Id)",
integer16 then "Word16",
integer16_or_null then "MaybeNull(Word16)",
integer32 then "Word32",
integer32_or_null then "MaybeNull(Word32)",
integer then "Int",
integer_or_null then "MaybeNull(Int)",
char(_) then "String",
char_or_null(_) then "MaybeNull(String)",
text then "String"
text_or_null then "MaybeNull(String)"
}.
*** [3.2] Getting the column structure from a column notation
define Maybe(MetaSQL_ColStruct)
col_struct
(
MetaSQL_Column c,
MetaSQL_DBStruct db
) =
if c is table_name.column_name then
if find_table(table_name,tables(db)) is
{
failure then failure,
success(tab) then find_column(column_name,tab)
}.
*** [3.3] Generating the names of conversion functions.
type ConversionName:
convname(Bool is_nullable,
String name).
define ConversionName
to_conversion_name
(
MetaSQL_Type typ
) =
if typ is
{
anubis(_T) then convname(false, "(Maybe("+_T+"))convert_to_anubis"),
binary then convname(false, "convert_to_binary"),
binary_or_null then convname(true, "convert_to_binary_or_null"),
boolean then convname(false, "convert_to_boolean"),
boolean_or_null then convname(true, "convert_to_boolean_or_null"),
date then convname(false, "convert_to_date"),
date_or_null then convname(true, "convert_to_date_or_null"),
time then convname(false, "convert_to_time"),
time_or_null then convname(true, "convert_to_time_or_null"),
datetime then convname(false, "convert_to_datetime"),
datetime_or_null then convname(true, "convert_to_datetime_or_null"),
foreign(_) then convname(false, "convert_to_foreign"),
foreign_or_null(_) then convname(true, "convert_to_foreign_or_null"),
integer16 then convname(false, "convert_to_integer"),
integer16_or_null then convname(true, "convert_to_integer_or_null"),
integer32 then convname(false, "convert_to_integer"),
integer32_or_null then convname(true, "convert_to_integer_or_null"),
integer then convname(false, "convert_to_integer"),
integer_or_null then convname(true, "convert_to_integer_or_null"),
char(_) then convname(false, "convert_to_text"),
char_or_null(_) then convname(true, "convert_to_text_or_null"),
text then convname(false, "convert_to_text"),
text_or_null then convname(true, "convert_to_text_or_null")
}.
define Maybe(ConversionName)
to_conversion_name
(
MetaSQL_Column c,
MetaSQL_DBStruct db
) =
if col_struct(c,db) is
{
failure then failure,
success(cs) then if cs is col(cname,ctype,attr) then
success(to_conversion_name(ctype))
}.
*** [3.4] Formatting a variable in a WHERE clause.
A variable (of type MetaSQL_Var) occurs in WHERE clauses, where it has to be replaced by an
actual value. This value has to be formatted into a character string. However, each variable
occuring in a WHERE clause has a type, and knowing this type is necessary in order to generate
correct conversion of an Anubis datum into such a character string.
Such variables (say 'v') occur only within the expressions (of type MetaSQL_Where), where
'c' is a column:
c = v
c < v
v < c
c =< v
v =< c
contains(c,v)
and in each case the tye of the variable 'v' is the type of the column 'c'.
We begin by the formatting proper, the type being known. Functions called from
within the body of the next paragraph are defined in 'metaSQL_tools.anubis'.
define String
format_variable
(
String name, // name of variable
MetaSQL_Type type // type of variable
) =
if type is
{
anubis(_T) then "value(prepare_anubis"+"("+name+"))",
binary then "value(prepare_binary"+"("+name+"))",
binary_or_null then "value(prepare_binary_or_null"+"("+name+"))",
boolean then "value(prepare_boolean"+"("+name+"))",
boolean_or_null then "value(prepare_boolean_or_null"+"("+name+"))",
date then "value(prepare_date"+"("+name+"))",
date_or_null then "value(prepare_date_or_null"+"("+name+"))",
time then "value(prepare_time"+"("+name+"))",
time_or_null then "value(prepare_time_or_null"+"("+name+"))",
datetime then "value(prepare_datetime"+"("+name+"))",
datetime_or_null then "value(prepare_datetime_or_null"+"("+name+"))",
foreign(String table_name) then "value(prepare_foreign"+"("+name+"))",
foreign_or_null(String table_name) then "value(prepare_foreign_or_null"+"("+name+"))",
integer16 then "value(prepare_integer"+"("+name+"))",
integer16_or_null then "value(prepare_integer_or_null"+"("+name+"))",
integer32 then "value(prepare_integer"+"("+name+"))",
integer32_or_null then "value(prepare_integer_or_null"+"("+name+"))",
integer then "value(prepare_integer"+"("+name+"))",
integer_or_null then "value(prepare_integer_or_null"+"("+name+"))",
char(Int size) then "value(prepare_text("+name+"))",
char_or_null(Int size) then "value(prepare_text_or_null("+name+"))",
text then "value(prepare_text("+name+"))",
text_or_null then "value(prepare_text_or_null("+name+"))"
}.
Next, we define formatting knowing the name of the table, the name of the column
and knowing the description of the database.
define Maybe(String)
format_variable
(
String name, // of variable
String table_name,
String column_name,
MetaSQL_DBStruct db
) =
if find_table(table_name,tables(db)) is
{
failure then failure,
success(tab) then
if find_column(column_name,tab) is
{
failure then failure,
success(c) then if c is col(cname,type,attr) then
success(format_variable(name,type))
}
}.
A variant of the same one:
define Maybe(String)
format_variable
(
MetaSQL_Var v,
MetaSQL_Column c,
MetaSQL_DBStruct db
) =
if c is table.column then format_variable(name(v),table,column,db).
*** [3.5] Formatting a WHERE clause.
For WHERE clauses, we need to adapt format_variable.
define String
make_quote
(
MetaSQL_Type t
) =
if t is
{
anubis(_T) then "'",
binary then "'",
binary_or_null then "'",
boolean then "'",
boolean_or_null then "'",
date then "'",
date_or_null then "'",
time then "'",
time_or_null then "'",
datetime then "'",
datetime_or_null then "'",
foreign(String table_name) then "",
foreign_or_null(String table_name) then "",
integer16 then "",
integer16_or_null then "",
integer32 then "",
integer32_or_null then "",
integer then "",
integer_or_null then "",
char(Int size) then "'",
char_or_null(Int size) then "'",
text then "'",
text_or_null then "'"
}.
define Maybe(String)
format_variable_for_where
(
MetaSQL_Var v,
MetaSQL_Column c,
MetaSQL_DBStruct db
) =
if format_variable(v,c,db) is
{
failure then failure,
success(fv) then if c is table_name.column_name then
if find_table(table_name,tables(db)) is
{
failure then failure,
success(tab) then if find_column(column_name,tab) is
{
failure then failure,
success(cs) then
with q = make_quote(type(cs)),
success(q+"\"+"+fv+"+\""+q)
}
}
}.
define String
format
(
MetaSQL_Column c
) =
if c is table.column then table+"."+column.
define Maybe(String)
format
(
MetaSQL_Where w,
MetaSQL_DBStruct db
) =
if w is
{
c = v then format(c)+" = "+format_variable_for_where(v,c,db),
c1 = c2 then success(format(c1)+" = "+format(c2)),
c < v then format(c)+" < "+format_variable_for_where(v,c,db),
v < c then format(c)+" > "+format_variable_for_where(v,c,db),
c =< v then format(c)+" <= "+format_variable_for_where(v,c,db),
v =< c then format(c)+" >= "+format_variable_for_where(v,c,db),
is_null(c) then success(format(c)+" IS NULL "),
is_not_null(c) then success(format(c)+" IS NOT NULL "),
contains(c,v) then format(c)+" ILIKE '%\"+"+format_variable(v,c,db)+"+\"%' ",
true then success(" TRUE "),
false then success(" FALSE "),
w1 & w2 then format(w1,db)+" AND\n "+format(w2,db),
w1 | w2 then format(w1,db)+" OR\n "+format(w2,db),
~ w1 then " NOT "+format(w1,db)
}.
*** [3.6] Gathering generated function's arguments comming from WHERE clauses.
type Function_Arg:
arg(MetaSQL_Type type,
String name,
String comment).
define Maybe(List($T))
merge
(
Maybe(List($T)) l1,
Maybe(List($T)) l2
) =
if l1 is
{
failure then failure,
success(l1a) then if l2 is
{
failure then failure,
success(l2a) then success(merge(l1a,l2a))
}
}.
define Maybe(List(Function_Arg))
arg_by_name
(
MetaSQL_Column c,
MetaSQL_Var v,
MetaSQL_DBStruct db
) =
if col_struct(c,db) is
{
failure then failure,
success(cs) then success([arg(type(cs),name(v),name(cs))])
}.
define Maybe(List(Function_Arg))
gather_where_args
(
MetaSQL_Where w,
MetaSQL_DBStruct db
) =
if w is
{
c = v then arg_by_name(c,v,db),
c1 = c2 then success([]),
c < v then arg_by_name(c,v,db),
v < c then arg_by_name(c,v,db),
c =< v then arg_by_name(c,v,db),
v =< c then arg_by_name(c,v,db),
is_null(c) then success([]),
is_not_null(c) then success([]),
contains(c,v) then arg_by_name(c,v,db),
true then success([]),
false then success([]),
w1 & w2 then merge(gather_where_args(w1,db),gather_where_args(w2,db)),
w1 | w2 then merge(gather_where_args(w1,db),gather_where_args(w2,db)),
~ w1 then gather_where_args(w1,db)
}.
*** [3.7] Formatting generated function's arguments comming from WHERE clauses.
define Maybe(String)
where_args_dec
(
MetaSQL_Where w,
Int spaces,
MetaSQL_DBStruct db
) =
if gather_where_args(w,db) is
{
failure then failure,
success(args) then if args is
{
[ ] then success("One dummy"),
[_ . _] then success(concat(
map((Function_Arg a) |-> if a is arg(type,name,com) then to_Anubis(type)+" "+name,
args),
",\n"+constant_string(spaces,' ')))
}
}.
*** [4] Carrying on.
*** [4.1] Generating 'INSERT' queries.
define String
format_value
(
Function_Arg a
) =
if a is arg(type,name,_) then format_variable(name,type).
define Maybe(List(Function_Arg))
function_args
(
MetaSQL_TabStruct tab,
List(String) col_names
) =
if col_names is
{
[ ] then success([ ]),
[col1 . others] then
if find_column(col1,tab) is
{
failure then print(error("Cannot find column '"+col1+"' in table '"+name(tab)+"'.")); failure,
success(cs) then if cs is col(name,type,attr) then
if function_args(tab,others) is
{
failure then failure,
success(ot) then success([arg(type,name,name) . ot])
}
}
}.
define Maybe(List(Function_Arg))
function_args
(
String table_name,
MetaSQL_DBStruct db,
List(String) column_names
) =
if find_table(table_name,tables(db)) is
{
failure then print(error("Cannot find table '"+table_name+"'.")); failure,
success(tab) then function_args(tab,column_names)
}.
define String
function_args_dec
(
List(Function_Arg) args,
Int spaces,
) =
concat(map((Function_Arg a) |-> if a is arg(t,n,c) then to_Anubis(t)+" "+n,args),
",\n"+constant_string(spaces,' ')).
define Maybe(String)
make_INSERT_func
(
String query_name,
String table_name,
List(String) column_names,
MetaSQL_DBStruct db,
Bool declare_only
) =
if function_args(table_name,db,column_names) is
{
failure then failure,
success(args) then success(
(if declare_only
then "\n\n\n ---------------- "+query_name+".\n\n"
else "")+
"public define ("+function_args_dec(args,15)+") -> Result(String /* error message */,One)\n"+
" "+query_name+"\n"+
" (\n"+
" String -> MetaSQL_Answer query_function\n"+
" )"+
(if declare_only
then "."
else " =\n"+
" ("+function_args_dec(args,4)+") |-> \n"+
" send_protected(false,(String -> MetaSQL_Answer qf) |-> if qf(\n"+
" \"INSERT INTO "+table_name+" ("+
concat(["metasqlcheck". column_names],",")+")\n VALUES ("+
concat(["'FALSE'" . map((Function_Arg a) |-> "'\"+"+format_value(a)+"+\"'",args)],
",\n ")+");\") is\n"+
" {\n"+
" error(msg) then error(msg),\n"+
" command_complete then ok(unique),\n"+
" table(rows) then "+make_error("Unexpected answer")+",\n"+
" informations(info) then "+make_error("Unexpected answer")+"\n"+
" },query_function).\n"
)+
"\n\n")
}.
*** [4.2] Generating SELECT queries.
The condition may imply that there must be one and exactly one row in the result.
This is based on the fact that the value of a primary key should be always
valid.
define Bool
implies_exists_and_unique
(
MetaSQL_Where w
) =
if w is c = (MetaSQL_Var)v
then (if c is table_name.column_name then column_name = "id")
else false.
define Bool
implies_unique
(
MetaSQL_Column c,
MetaSQL_DBStruct db
) =
if col_struct(c,db) is
{
failure then should_not_happen(false),
success(cs) then if cs is col(cname,ctype,attr) then (unique:attr)
}.
define Bool
implies_unique // but may not exist
(
MetaSQL_Where w,
MetaSQL_DBStruct db
) =
if implies_exists_and_unique(w) then true else
if w is
{
c = v then implies_unique(c,db)
c1 = c2 then false,
c < v then false,
v < c then false,
c =< v then false,
v =< c then false,
is_null(c) then false,
is_not_null(c) then false,
contains(c,v) then false,
true then false,
false then false,
w1 & w2 then implies_unique(w1,db) | implies_unique(w2,db),
w1 | w2 then false,
~ w1 then false
}.
define Maybe(List(Function_Arg))
select_components
(
List(MetaSQL_Column) col_names,
MetaSQL_DBStruct db,
Int i
) =
if col_names is
{
[ ] then success([]),
[c1 . others] then if c1 is table_name.column_name then
if find_table(table_name,tables(db)) is
{
failure then failure,
success(tab) then if find_column(column_name,tab) is
{
failure then failure,
success(cs) then if cs is col(cname,ctype,attr) then
if select_components(others,db,i+1) is
{
failure then failure,
success(oc) then success([arg(ctype,"_"+to_decimal(i),cname) . oc])
}
}
}
}.
define Maybe(String)
select_components
(
List(MetaSQL_Column) col_names,
MetaSQL_DBStruct db
) =
if (Maybe(List(Function_Arg)))select_components(col_names,db,0) is
{
failure then failure,
success(comps) then success(
concat(map((Function_Arg a) |-> if a is arg(t,n,c) then to_Anubis(t)+" "+n+" /* "+c+" */",
comps),
",\n "))
}.
define String
items_comma
(
Int n,
Int i
) =
if i = n
then ""
else "i"+to_decimal(i)+(if i+1 = n then "" else ",")+items_comma(n,i+1).
define Maybe(String)
select_conversion_body
(
String output_type_name,
List(MetaSQL_Column) col_names,
MetaSQL_DBStruct db,
String indent,
Int count
) =
if col_names is
{
[ ] then success(indent+" ok("+to_lower(output_type_name)+"("+items_comma(count,0)+"))\n"),
[h . t] then
if to_conversion_name(h,db) is
{
failure then failure,
success(cn) then if cn is convname(is_nullable,conv_name) then
indent+" if row"+to_decimal(count)+" is\n"+
indent+" {\n"+
indent+" [ ] then "+make_error("Datum not received")+",\n"+
indent+" [item"+to_decimal(count)+" . row"+to_decimal(count+1)+"] then\n"+
(if is_nullable
then indent+" with i"+to_decimal(count)+" = "+conv_name+"(item"+to_decimal(count)+"),\n"
else indent+" if "+conv_name+"(item"+to_decimal(count)+") is\n"+
indent+" {\n"+
indent+" failure then "+make_error("Cannot "+conv_name)+",\n"+
indent+" success(i"+to_decimal(count)+") then\n")+
select_conversion_body(output_type_name,t,db,indent+" ",count+1)+
indent+(if is_nullable
then " } /* "+conv_name+" */ "
else " }} /* "+conv_name+" */ ")+
(if count = 0 then "" else "\n")
}
}.
define List(String)
collect_table_names
(
List(MetaSQL_Column) l
) =
if l is
{
[ ] then [ ],
[h . t] then with others = collect_table_names(t),
if h is tn.cn then if tn:others then others else [tn . others]
}.
define List(String)
collect_table_names
(
MetaSQL_Where cond
) =
if cond is
{
c = v then if c is tn.cn then [tn],
c1 = c2 then if c1 is tn1.cn1 then if c2 is tn2.cn2 then [tn1,tn2],
c < v then if c is tn.cn then [tn],
v < c then if c is tn.cn then [tn],
c =< v then if c is tn.cn then [tn],
v =< c then if c is tn.cn then [tn],
is_null(c) then if c is tn.cn then [tn],
is_not_null(c) then if c is tn.cn then [tn],
contains(c,v) then if c is tn.cn then [tn],
true then [],
false then [],
w1 & w2 then merge(collect_table_names(w1),collect_table_names(w2)),
w1 | w2 then merge(collect_table_names(w1),collect_table_names(w2)),
~ w1 then collect_table_names(w1)
}.
define List(String)
collect_table_names
(
List(MetaSQL_Column) l,
MetaSQL_Where cond
) =
merge(collect_table_names(l),collect_table_names(cond)).
define String
format
(
List(MetaSQL_Order) l
) =
if l is
{
[ ] then "",
[h . t] then "\n ORDER BY "+
if h is
{
asc(col) then format(col) + " ASC",
desc(col) then format(col) + " DESC"
} +
(if t is [] then "" else "; ")
+ format(t)
}.
define Maybe(String)
make_SELECT_func
(
String query_name,
String output_type_name,
MetaSQL_Selection selection,
MetaSQL_Where condition,
String comps, // components of output type computed in advance (see below)
MetaSQL_Range range,
List(MetaSQL_Order) order,
MetaSQL_DBStruct db,
Bool declare_only,
Bool dont_print_type
) =
with eu = implies_exists_and_unique(condition), // if 'ue' the type of the result is output_type
u = implies_unique(condition,db), // otherwise if 'u' the type of the result is Maybe(output_type)
// otherwise, the type of the result is List(output_type)
col_names = selected_columns(selection),
counting = (Bool)if selection is count(_) then true else false,
//
// Title and return type definition.
//
(if declare_only
then "\n\n\n ---------------- "+query_name+".\n\n"+
if counting
then ""
else if dont_print_type
then " Type '"+output_type_name+"' is already defined above.\n\n"
else "public type "+output_type_name+":\n"+
" "+to_lower(output_type_name)+"\n ("+
comps+
").\n\n"
else "")+
//
// Auxiliary function for converting one row.
//
(if (declare_only | counting) then success("") else
"define Result(String,"+output_type_name+")\n"+
" "+query_name+"_aux\n"+
" (\n"+
" List(MaybeNull(ByteArray)) row0\n"+
" ) =\n"+
select_conversion_body(output_type_name,col_names,db," ",0)+".\n"+
"\n\n")+
//
// The main function.
//
"public define ("+where_args_dec(condition,15,db)+") -> Result(String /* error message */,"+
(if counting
then "Int"
else (if eu
then ""
else if u
then "Maybe("
else "List(")+
output_type_name+
(if eu then "" else ")"))+
")\n"+
" "+query_name+"\n"+
" (\n"+
" String -> MetaSQL_Answer query_function\n"+
" )"+
(if declare_only
then success(".")
else " =\n"+
" ("+where_args_dec(condition,4,db)+") |->\n"+
" send_protected(false,(String -> MetaSQL_Answer qf) |-> if qf(\n"+
" \"SELECT "+
(if selection is count(_) then "COUNT(" else "")+
concat(map((MetaSQL_Column c) |-> if c is tn.cn then tn+"."+cn,
col_names),
",\n ")+
(if selection is count(_) then ")" else "")+
"\n"+
" FROM "+concat(collect_table_names(col_names,condition),",")+" \n"+
" WHERE "+
format(condition,db)+
format(order)+";\") is\n"+
" {\n"+
" error(msg) then error(msg),\n"+
" command_complete then "+make_error("Unexpected answer")+",\n"+
" table(rows) then \n"+
(if counting
then (
" if rows is\n"+
" {\n"+
" [ ] then "+make_error("Expected row not received")+",\n"+
" [row1 . _] then if row1 is\n"+
" {\n"+
" [ ] then "+make_error("Expected row not received")+",\n"+
" [cell1 . _] then if cell1 is\n"+
" {\n"+
" null then "+make_error("Count not received")+",\n"+
" not_null(b) then if decimal_scan(to_string(b)) is\n"+
" {\n"+
" failure then "+make_error("Count unreadable")+",\n"+
" success(n) then ok(n)\n"+
" }\n"+
" }\n"+
" }\n"+
" },\n"
)
else (
if eu
then " if rows is\n"+
" {\n"+
" [ ] then "+make_error("Expected row not received")+",\n"+
" [h . t] then if t is\n"+
" {\n"+
" [ ] then "+query_name+"_aux(h),\n"+
" [_ . _] then "+make_error("Several rows received")+",\n"+
" }\n"+
" }\n"
else if u
then " if rows is\n"+
" {\n"+
" [ ] then ok(failure),\n"+
" [h . t] then if "+query_name+"_aux(h) is\n"+
" {\n"+
" error(msg) then error(msg),\n"+
" ok(x) then if t is\n"+
" {\n"+
" [ ] then ok(success(x)),\n"+
" [_ . _] then "+make_error("Several rows received")+",\n"+
" }\n"+
" }\n"+
" }\n"
else " map_escape("+query_name+"_aux,rows)\n"
)
)+
" informations(info) then "+make_error("Unexpected answer")+"\n"+
" },query_function).\n\n").
*** [4.3] Generating UPDATE queries.
In the case of '_UPDATE', the arguments to the function are comming from two sources:
the list of columns (a new value must be provided for each) and the variables in the
where clause. The name of the same column may appear in both lists, as in the example:
_UPDATE("function_name",
"table_name",
["col1"],
"col1" = var("col1"))
whose meaning is: put a new value in field "col1" in all records where this field has a
given value (that of the value of the variable in the where clause). Clearly, this is
misleading, and a better formulation would be:
_UPDATE("function_name",
"table_name",
["col1"],
"col1" = var("old_col1"))
The function will have the two arguments: 'col1' and 'old_col1', and the meaning of the
action is to replace all occurences of the value of 'old_col1' in the column "col1" by the
value of the argument 'col1'.
As a consequence, we forbid the use of a column name in the variables of the where clause.
The function 'forbidden_update_args' gives the list of where clause variable names which are
column names. There is a 'Maybe', because we need 'find_table' and 'find_column' (which send
a message in case of an error).
define Maybe(List(String))
forbidden_update_args
(
List(String) column_names,
MetaSQL_Where clause,
MetaSQL_DBStruct db
) =
if gather_where_args(clause,db) is
{
failure then failure,
success(args) then
with var_names = map(name,args),
success(inter(column_names,var_names))
}.
define Bool // true if no forbidden update args
check_update_args
(
String table_name,
List(String) column_names,
MetaSQL_Where condition,
MetaSQL_DBStruct db
) =
if forbidden_update_args(column_names,condition,db) is
{
failure then false,
success(l) then
if l is
{
[ ] then true,
[_ . _] then print("\nError: column names used as where variables in _UPDATE:\n"+
concat(l,",")+"\n"); false
}
}.
define Maybe(String)
make_UPDATE_func
(
String query_name,
String table_name,
List(String) column_names,
MetaSQL_Where1 condition,
MetaSQL_DBStruct db,
Bool declare_only
) =
if find_table(table_name,tables(db)) is
{
failure then failure,
success(tab) then
with cond = convert(table_name,condition),
if function_args(table_name,db,column_names) is
{
failure then failure,
success(args) then
if not(check_update_args(table_name,column_names,cond,db)) then failure
else with all_args = " // columns to update\n "+
function_args_dec(args,15)+
",\n // variables in 'WHERE' clause\n "+
where_args_dec(cond,15,db),
(if declare_only
then "\n\n\n ---------------- "+query_name+".\n\n"
else "")+
"public define ("+all_args+") -> Result(String /* error message */,One)\n"+
" "+query_name+"\n"+
" (\n"+
" String -> MetaSQL_Answer query_function\n"+
" )"+
(if declare_only
then success(".")
else " =\n"+
" ("+all_args+") |-> \n"+
" send_protected(false,(String -> MetaSQL_Answer qf) |-> if qf(\n"+
" \"UPDATE "+table_name+" SET ("+
concat(column_names,",")+")\n = ("+
concat(map((Function_Arg a) |-> "'\"+"+format_value(a)+"+\"'",args),
",\n ")+
") WHERE\n "+
format(cond,db)+
";\") is\n"+
" {\n"+
" error(msg) then error(msg),\n"+
" command_complete then ok(unique),\n"+
" table(rows) then "+make_error("Unexpected answer")+",\n"+
" informations(info) then "+make_error("Unexpected answer")+"\n"+
" },query_function).\n"
)+
"\n\n"
}
}.
*** [4.4] Generating DELETE queries.
define Maybe(String)
make_DELETE_func
(
String query_name,
String table_name,
MetaSQL_Where1 condition,
MetaSQL_DBStruct db,
Bool declare_only
) =
with cond = convert(table_name,condition),
(if declare_only
then "\n\n\n ---------------- "+query_name+".\n\n"
else "")+
"public define ("+where_args_dec(cond,15,db)+") -> Result(String /* error message */,One)\n"+
" "+query_name+"\n"+
" (\n"+
" String -> MetaSQL_Answer query_function\n"+
" )"+
(if declare_only
then success(".")
else " =\n"+
" ("+where_args_dec(cond,4,db)+") |-> \n"+
" send_protected(false,(String -> MetaSQL_Answer qf) |-> if qf(\n"+
" \"DELETE FROM "+table_name+"\n WHERE "+
format(cond,db)+";\") is\n"+
" {\n"+
" error(msg) then error(msg),\n"+
" command_complete then ok(unique),\n"+
" table(rows) then "+make_error("Unexpected answer")+",\n"+
" informations(info) then "+make_error("Unexpected answer")+"\n"+
" },query_function).\n")+
"\n\n".
*** [4.5] Generating all sorts of query functions.
A test for knowing if a given type definition has already been written to the target file.
type TypeSeen:
type_seen
(String name,
List(Function_Arg) components).
define Bool
compare
(
Function_Arg a1,
Function_Arg a2
) =
if a1 is arg(n1,c1,_) then
if a2 is arg(n2,c2,_) then
(n1 = n2) & (c1 = c2).
define Bool
compare
(
List(Function_Arg) a1,
List(Function_Arg) a2
) =
if a1 is
{
[ ] then a2 = [ ],
[h1 . t1] then if a2 is
{
[ ] then false,
[h2 . t2] then
if compare(h1,h2)
then compare(t1,t2)
else false
}
}.
define Bool
compare
(
TypeSeen t1,
TypeSeen t2
) =
if t1 is type_seen(n1,c1) then
if t2 is type_seen(n2,c2) then
(n1 = n2) & (compare(c1,c2)).
define Bool
type_already_seen
(
TypeSeen ts,
List(TypeSeen) already_seen
) =
if already_seen is
{
[ ] then false,
[h . t] then if compare(h,ts)
then true
else type_already_seen(ts,t)
}.
define Maybe(String)
make_query_functions
(
List(MetaSQL_DML) queries,
MetaSQL_DBStruct db,
Bool declare_only,
List(TypeSeen) types_so_far
) =
if queries is
{
[ ] then success(""),
[query . others] then
if query is
{
_INSERT(query_name,table_name,column_names) then
if make_INSERT_func(query_name,table_name,column_names,db,declare_only) is
{
failure then failure,
success(f) then if make_query_functions(others,db,declare_only,types_so_far) is
{
failure then failure,
success(o) then success(f+o)
}
},
_SELECT(query_name,out_type,selection,condition,range,order) then
with col_names = selected_columns(selection),
if (Maybe(List(Function_Arg)))select_components(col_names,db,0) is
{
failure then failure,
success(comps) then
with scomps =
concat(map((Function_Arg a) |-> if a is arg(t,n,c) then to_Anubis(t)+" "+n+" /* "+c+" */",
comps),",\n "),
if make_SELECT_func(query_name,
out_type,
selection,
condition,
scomps,
range,
order,
db,
declare_only,
type_already_seen(type_seen(out_type,comps),types_so_far)) is
{
failure then failure,
success(f) then
if make_query_functions(others,db,declare_only,
[type_seen(out_type,comps) . types_so_far]) is
{
failure then failure,
success(o) then success(f+o)
}
}
},
_UPDATE(query_name,table_name,column_names,condition) then
if make_UPDATE_func(query_name,table_name,column_names,condition,db,declare_only) is
{
failure then failure,
success(f) then if make_query_functions(others,db,declare_only,types_so_far) is
{
failure then failure,
success(o) then success(f+o)
}
},
_DELETE(query_name,table_name,condition) then
if make_DELETE_func(query_name,table_name,condition,db,declare_only) is
{
failure then failure,
success(f) then if make_query_functions(others,db,declare_only,types_so_far) is
{
failure then failure,
success(o) then success(f+o)
}
}
}
}.
*** [4.6] The 'make_queries' function.
public define One
make_queries
(
String target_file_path,
List(String) files_to_be_read,
List(MetaSQL_DML) queries,
MetaSQL_DBStruct db
) =
if make_query_functions(queries,db,true,[]) is
{
failure then unique,
success(public_part) then
if make_query_functions(queries,db,false,[]) is
{
failure then unique,
success(private_part) then
if file(target_file_path,new) is
{
failure then print("\nError: Cannot create file '"+target_file_path+"'.\n\n"),
success(t) then with target = (WStream)weaken(t),
print(target,
"\n This file was generated automatically by the metaprogram 'data_base/metaSQL.anubis'.\n"+
" Don't modify it. Your modifications would be crushed.\n\n"+
"read tools/basis.anubis\n"+
"read tools/base64.anubis\n"+
"read data_base/metaSQL.anubis\n"+
concat(map((String f) |-> "read "+f,files_to_be_read),"\n")+
"\n\n"+
public_part+
"\n\n\n\n --- That's all for the public part ! ----------------------------------\n\n\n\n"+
private_part+
"\n\n")
}
}
}.
*** [5] Creating and checking the database.
public type MetaSQL_Id:
id(String value). // not an 'Int' because the database reads it as a string
// and returns it as a byte array. This is just an identifier.
// No computation is made on it.
public type MetaSQL_Prepared:
prepared(String value). // a 'prepared' value is just a string, but defining it of
// a different type avoid errors.
public type MetaSQL_Specific:
specific
(
String database_name,
String -> MetaSQL_Answer query_function, // the query function
MetaSQL_Type -> String to_database_type // convert type to a string for the specific software
).
public define Maybe($T)
convert_to_anubis
(
MaybeNull(ByteArray) mbnb
) =
if mbnb is
{
null then failure,
not_null(b) then
(Maybe($T))unserialize(base64_decode(b))
}.
public define MetaSQL_Prepared
prepare_foreign
(
MetaSQL_Id i
) =
prepared(value(i)).
public define MetaSQL_Prepared
prepare_foreign_or_null
(
MaybeNull(MetaSQL_Id) i
) =
if i is
{
null then prepared("NULL"),
not_null(id) then prepared(value(id))
}.
public define MetaSQL_Prepared
prepare_date
(
String d
) =
prepared(d).
public define MetaSQL_Prepared
prepare_date_or_null
(
MaybeNull(String) b
) =
if b is
{
null then prepared("NULL"),
not_null(d) then prepared(d)
}.
public define Maybe(String)
convert_to_date
(
MaybeNull(ByteArray) b
) =
if b is
{
null then failure,
not_null(ba) then success(to_string(ba))
}.
In the future, if type schemes are seen as 'functors' (in the sens of category theory)
the function below could be written: MaybeNull(to_string)
public define MaybeNull(String)
convert_to_date_or_null
(
MaybeNull(ByteArray) b
) =
if b is
{
null then null,
not_null(ba) then not_null(to_string(ba))
}.
public define MetaSQL_Prepared
prepare_boolean
(
Bool b
) =
prepared(if b then "TRUE" else "FALSE").
public define MetaSQL_Prepared
prepare_boolean_or_null
(
MaybeNull(Bool) b
) =
prepared(if b is
{
null then "NULL",
not_null(bl) then if bl then "TRUE" else "FALSE"
}).
public define Maybe(Bool)
convert_to_boolean
(
MaybeNull(ByteArray) b
) =
if b is
{
null then failure,
not_null(ba) then if nth(0,ba) is
{
failure then failure,
success(c) then if (c = 'T' | c = 't' | c = '1')
then success(true)
else if (c = 'F' | c = 'f' | c = '0')
then success(false)
else failure
}
}.
public define MaybeNull(Bool) convert_to_boolean_or_null (MaybeNull(ByteArray) b).
public define MetaSQL_Prepared
prepare_anubis
(
$T datum
) =
prepared(to_string(base64_encode(serialize(datum)))).
public define MetaSQL_Prepared
prepare_binary
(
ByteArray b
) =
prepared(to_string(base64_encode(b))).
public define MetaSQL_Prepared
prepare_binary_or_null
(
MaybeNull(ByteArray) b
) =
prepared(if b is
{
null then "NULL",
not_null(ba) then to_string(base64_encode(ba))
}).
public define Maybe(ByteArray)
convert_to_binary
(
MaybeNull(ByteArray) b
) =
if b is
{
null then failure,
not_null(v) then success(base64_decode(v))
}.
public define MaybeNull(ByteArray)
convert_to_binary_or_null
(
MaybeNull(ByteArray) b
) =
if b is
{
null then null,
not_null(v) then not_null(base64_decode(v))
}.
public define Maybe(MetaSQL_Id)
convert_to_foreign
(
MaybeNull(ByteArray) b
) =
if b is
{
null then failure,
not_null(ba) then success(id(to_string(ba)))
}.
public define MaybeNull(MetaSQL_Id)
convert_to_foreign_or_null
(
MaybeNull(ByteArray) b
).
define List(Word8)
prepare_text // an auxiliary function
(
List(Word8) t
) =
if t is
{
[ ] then [ ],
[c . d] then
if c = '\''
then [c,c . prepare_text(d)]
else [c . prepare_text(d)]
}.
public define MetaSQL_Prepared
prepare_text // the actual input conversion function
(
String t
) =
prepared(implode(prepare_text(explode(t)))).
Conversely, texts arrive from the database in the form of byte arrays which must be
converted to strings. The two functions for converting to 'text' and to 'text_or_null'
are almost the same one. The only difference is that 'null' is interpreted as an error in
the case of 'text'.
public define Maybe(String)
convert_to_text
(
MaybeNull(ByteArray) mbba
) =
if mbba is
{
null then failure,
not_null(b) then success(to_string(b))
}.
public define MaybeNull(String)
convert_to_nullable_text
(
MaybeNull(ByteArray) mbba
) =
if mbba is
{
null then null,
not_null(b) then not_null(to_string(b))
}.
public define Result($E,List($T))
map_escape
(
List(MaybeNull(ByteArray)) -> Result($E,$T) convert,
List(List(MaybeNull(ByteArray))) rows
) =
if rows is
{
[ ] then ok([ ]),
[h . t] then if convert(h) is
{
error(e) then error(e),
ok(h1) then if map_escape(convert,t) is
{
error(e) then error(e),
ok(t1) then ok([h1 . t1])
}
}
}.
public define Result(String,$T)
send_protected
(
Bool within_transaction,
(String -> MetaSQL_Answer) -> Result(String,$T) query,
String -> MetaSQL_Answer qf
) =
protect // it is important that there is only one 'protect' for controling the communication
// with the database. If we had several 'protect' the terms they protect could be
// executed at the same time.
if within_transaction
then if (//print("'BEGIN' sent\n");
qf("BEGIN;")) is
{
error(msg) then error(msg),
command_complete then if query(qf) is
{
error(msg) then forget(//print("'ROLLBACK' sent\n");
qf("ROLLBACK;")); error(msg),
ok(res) then if (//print("'COMMIT' sent\n");
qf("COMMIT;")) is
{
error(msg) then error(msg),
command_complete then ok(res),
table(_) then error("Unexpected answer "+__FILE__+":"+to_decimal(__LINE__)),
informations(_) then error("Unexpected answer "+__FILE__+":"+to_decimal(__LINE__))
}
},
table(_) then error("Unexpected answer "+__FILE__+":"+to_decimal(__LINE__)),
informations(_) then error("Unexpected answer "+__FILE__+":"+to_decimal(__LINE__))
}
else query(qf).
public define ((String -> MetaSQL_Answer) -> Result(String,$T)) -> Result(String,$T)
transaction
(
String -> MetaSQL_Answer qf
) =
((String -> MetaSQL_Answer) -> Result(String,$T) sequence) |->
send_protected(true,sequence,qf).
*** Testing tables.
We want to be able to test if a given table is operational for a given table description.
To do this, we try to insert a new record into the table, to recover it (via SELECT), and
check if it is unchanged. In any case we delete it after this operation.
However, we encounter the following problems:
- if a column has attribute UNIQUE, we must put in this column a value not already
present. To that end, we create an 'unlikely' value for this column, and try to
get all records having this value in this column. If there is none, the value can
be used. If not we try another one, and repeat the process until we find an acceptable
value.
There is a (very very low actually) risk that after inserting our record, we recover
several identical records. However, we cannot apply the method for UNIQUE columns to
boolean columns for example.
What we do is the following:
(1) collect the names af all columns which have attribute unique, and create for
each an acceptable value.
(2) create values for all other columns (except id).
(3) try to insert the datum, to recover it, and compare.
(4) repeat (1) (2) and (3) several times. All tries must succeed.
*** Checking if a table exists (and if not create it if possible).
define String
format_attributes
(
MetaSQL_Type type,
List(MetaSQL_Attr) attrs
) =
(if unique:attrs then " UNIQUE" else "").
define String
format_column_def
(
MetaSQL_Specific spec,
MetaSQL_ColStruct cs
) =
if cs is col(name,type,attrs) then
name+" "+spec.to_database_type(type)+format_attributes(type,attrs).
public type TableExistsResult:
table_already_exists (String table_name),
table_created (String table_name),
cannot_create_table (String table_name).
define TableExistsResult
table_exists
(
MetaSQL_TabStruct tab,
MetaSQL_Specific spec,
) =
if tab is table(tname,pk,columns) then
if spec.query_function("SELECT COUNT(*) FROM "+tname+";") is
table(_)
then table_already_exists(tname)
else if spec.query_function("CREATE TABLE "+tname+" ("+
if pk is
{
with_pk then "id bigserial NOT NULL UNIQUE PRIMARY KEY, ",
no_pk then ""
} + concat(map((MetaSQL_ColStruct c) |-> format_column_def(spec,c),
[col("metasqlcheck",boolean,[default(prepare_boolean(false))]) . columns]),", ") +
");") is command_complete
then table_created(tname)
else cannot_create_table(tname).
*** Creating an unlikely value.
The value is created in the form of a character string (directly usable for formating
the query).
define String
make_unlikely_value
(
MetaSQL_Type t
) =
if t is
{
anubis(_T) then to_ascii(sha1(random(400000000))),
binary then to_ascii(sha1(random(400000000))),
binary_or_null then to_ascii(sha1(random(100000))),
boolean then if random(2) = 0 then "t" else "f",
boolean_or_null then if random(2) = 0 then "t" else "f",
date then _Int_to_ISO_8601_date(to_Int(random(400000000))),
date_or_null then _Int_to_ISO_8601_date(to_Int(random(400000000))),
time then _Int_to_ISO_8601_time(to_Int(random(400000000))),
time_or_null then _Int_to_ISO_8601_time(to_Int(random(400000000))),
datetime then _Int_to_ISO_8601_datetime(to_Int(random(400000000))),
datetime_or_null then _Int_to_ISO_8601_datetime(to_Int(random(400000000))),
foreign(table_name) then to_decimal(random(400000000)),
foreign_or_null(table_name) then to_decimal(random(400000000)),
integer16 then to_decimal(random(32000)),
integer16_or_null then to_decimal(random(32000)),
integer32 then to_decimal(random(400000000)),
integer32_or_null then to_decimal(random(400000000)),
integer then to_decimal(random(400000000)),
integer_or_null then to_decimal(random(400000000)),
char(size) then if sub_string(to_ascii(sha1(random(400000000))),0,min(40,size)) is
{
failure then should_not_happen("5f520a74efc"),
success(s) then s
},
char_or_null(size) then if sub_string(to_ascii(sha1(random(400000000))),0,min(40,size)) is
{
failure then should_not_happen("5f520a74efc"),
success(s) then s
},
text then to_ascii(sha1(random(400000000))),
text_or_null then to_ascii(sha1(random(400000000)))
}.
define String
format
(
MaybeNull(ByteArray) b
) =
if b is
{
null then "[NULL]",
not_null(v) then to_string(v)
}.
define String
format
(
List(List(MaybeNull(ByteArray))) l
) =
concat(map((List(MaybeNull(ByteArray)) k) |->
"|"+concat(map(format,k),"|")+"|\n"
,l),"").
define Maybe(String) // returns 'failure' if we cannot query the table
make_acceptable_value // this requires querying the data base
(
MetaSQL_Type type,
String table_name,
String column_name,
String -> MetaSQL_Answer query_function,
Int retries
) =
if column_name = "metasqlcheck" then success("TRUE") else
if retries =< 0 then failure else
with value = make_unlikely_value(type),
if query_function("SELECT COUNT("+column_name+") FROM "+table_name+
" WHERE "+column_name+"='"+value+"';") is
{
error(message) then //print("###### "+message+"\n");
make_acceptable_value(type,table_name,column_name,query_function,retries-1),
command_complete then make_acceptable_value(type,table_name,column_name,query_function,retries-1),
table(rows) then //print(format(rows));
if rows is
{
[ ] then make_acceptable_value(type,table_name,column_name,query_function,retries-1),
[row1 . _] then if row1 is
{
[ ] then make_acceptable_value(type,table_name,column_name,query_function,retries-1),
[cell1 . _] then if cell1 is
{
null then make_acceptable_value(type,table_name,column_name,query_function,retries-1),
not_null(b) then if decimal_scan(to_string(b)) is
{
failure then make_acceptable_value(type,table_name,column_name,query_function,retries-1),
success(n) then //print("%%%% n = "+to_decimal(n)+"\n");
if n = 0
then success(value)
else make_acceptable_value(type,table_name,column_name,query_function,retries-1)
}
}
}
},
informations(infos) then make_acceptable_value(type,table_name,column_name,query_function,retries-1),
}.
define Maybe((String,String)) // returns the name of the column and the generated value
make_acceptable_value
(
String table_name,
MetaSQL_ColStruct cs,
String -> MetaSQL_Answer query_function,
Int retries
) =
if cs is col(name,type,attrs) then
if unique:attrs
then if make_acceptable_value(type,table_name,name,query_function,retries) is
{
failure then failure,
success(value) then success((name,value))
}
else success((name,make_unlikely_value(type))).
define Maybe(List((String,String)))
make_acceptable_values
(
String table_name,
List(MetaSQL_ColStruct) columns,
String -> MetaSQL_Answer query_function,
Int retries
) =
if columns is
{
[ ] then success([ ]),
[h . t] then
if make_acceptable_value(table_name,h,query_function,retries) is
{
failure then failure,
success(first) then if make_acceptable_values(table_name,t,query_function,retries) is
{
failure then failure,
success(rest) then success([first . rest])
}
}
}.
define String
format_values
(
List(String) values
) =
"{|"+concat(values,"||")+"|}\n".
public type CheckTableResult:
table_does_not_exist (String table_name),
cannot_create_acceptable_values (String table_name),
cannot_insert_record (String table_name),
cannot_get_record (String table_name),
found_null_value (String table_name,
List(String) original_values,
List(MaybeNull(ByteArray)) returned_values),
got_different_values (String table_name,
List(String) original_values,
List(String) returned_values),
got_several_records (String table_name,
Int num_records),
ok (String table_name).
public define String
format
(
CheckTableResult r
) =
if r is
{
table_does_not_exist(table_name) then
"Table '"+table_name+"' does not exist.",
cannot_create_acceptable_values(table_name) then
"Cannot create acceptable values for table '"+table_name+"'.",
cannot_insert_record(table_name) then
"Cannot insert record in table '"+table_name+"'.",
cannot_get_record(table_name) then
"Cannot retrieve my record from table '"+table_name+"'.",
found_null_value(table_name,original_values,returned_values) then
"Found null values in record retrieved from table '"+table_name+"'.",
got_different_values(table_name,original_values,returned_values) then
"Got different values in record retrieved from table '"+table_name+"'.\n"+
format_values(original_values)+format_values(returned_values),
got_several_records(table_name,num_records) then
"Got "+to_decimal(num_records)+" times my record from table '"+table_name+"'.",
ok(table_name) then
"Table '"+table_name+"' is ok."
}.
define Maybe(List(String))
non_null_values
(
List(MaybeNull(ByteArray)) l
) =
if l is
{
[ ] then success([]),
[h . t] then
if h is
{
null then failure,
not_null(v) then if non_null_values(t) is
{
failure then failure,
success(rest) then success([to_string(v) . rest])
}
}
}.
public define CheckTableResult
check_the_table
(
MetaSQL_TabStruct tab,
MetaSQL_Specific spec,
Int retries
) =
since tab is table(tname,_,cols),
if table_exists(tab,spec) is cannot_create_table(_)
then table_does_not_exist(tname)
else with qf = spec.query_function,
if make_acceptable_values(tname,cols,qf,retries) is
{
failure then cannot_create_acceptable_values(tname),
success(names_vals) then
with names = map(((String,String) p) |-> if p is (n,v) then n,names_vals),
vals = map(((String,String) p) |-> if p is (n,v) then v,names_vals),
if qf("INSERT INTO "+tname+" ("+concat(["metasqlcheck" . names],",")+") VALUES ("+
concat(["'TRUE'" . map((String v) |-> "'"+v+"'",vals)],",")+");") is
{
error(message) then //print(message+"\n");
cannot_insert_record(tname),
command_complete then
with query = "SELECT "+concat(names,",")+" FROM "+tname+" WHERE metasqlcheck='TRUE';",
//print("query: "+query+"\n");
if qf(query) is
{
error(message) then cannot_get_record(tname),
command_complete then cannot_get_record(tname),
table(rows) then
if rows is
{
[ ] then cannot_get_record(tname),
[h . t] then
if t is [ ]
then if non_null_values(h) is
{
failure then found_null_value(tname,vals,h),
success(values) then
if vals = values
then ok(tname)
else //print("length(vals) = "+length(vals)+" length(values) = "+length(values)+"\n" );
got_different_values(tname,vals,values)
}
else got_several_records(tname,length(rows))
},
informations(infos) then cannot_get_record(tname),
},
table(rows) then cannot_insert_record(tname),
informations(infos) then cannot_insert_record(tname)
}
}.
define One
cleanup_check_data
(
List(MetaSQL_TabStruct) tables,
MetaSQL_Specific spec,
) =
map_forget((MetaSQL_TabStruct ts) |->
spec.query_function("DELETE FROM "+name(ts)+" WHERE metasqlcheck='TRUE';"),tables).
public define List(CheckTableResult)
check_the_database
(
MetaSQL_DBStruct db,
MetaSQL_Specific spec,
Int retries
) =
if db is database(name,tables) then
with result = map((MetaSQL_TabStruct ts) |-> check_the_table(ts,spec,retries),tables),
cleanup_check_data(tables,spec);
result.
*** [] 'database_check'.
This function proceeds as follows:
(1) Try to recover the previous description of the database. If not possible,
this description is assumed to be empty (no table at all).
(2) Check the current description, and if correct, save it into the database.
(3) Compare the two descriptions, old and new, and
(3.1) create tables required by the new description, not present (by their
name) in the previous one,
(3.2) create columns required by the new description, not present in
the previous tables,
(3.3) update type of columns if required,
(3.4) update attributes of columns if required,
(3.5) create the indexes required by the new description and delete
any index required by the previous one but not by the new one.
*** [] Collecting actions to be performed.
In order to prepare this work, it is interesting to record all operations into
a description before excuting them. This also allows to inform on what has to
be done.
public type MetaSQL_DBModify:
create_table (MetaSQL_TabStruct table), // table to be created
create_column (String table_name, // ordinary column to be created
MetaSQL_ColStruct column),
create_pk_column (String table_name),
set_type (String table_name, // change column type
String column_name,
MetaSQL_Type new_type),
reset_attribute (String table_name, // remove (reset) this attribute
String column_name,
MetaSQL_Attr attr),
set_attribute (String table_name, // set this attribute
String column_name,
MetaSQL_Attr attr),
delete_table (String table_name),
delete_column (String table_name,
String column_name).
define String
format
(
MetaSQL_Type t
) =
if t is
{
anubis(_T) then "anubis("+_T+")",
binary then "binary",
binary_or_null then "binary_or_null",
boolean then "boolean",
boolean_or_null then "boolean_or_null",
date then "date",
date_or_null then "date_or_null",
time then "time",
time_or_null then "time_or_null",
datetime then "datetime",
datetime_or_null then "datetime_or_null",
foreign(String table_name) then "foreign("+table_name+")",
foreign_or_null(String table_name) then "foreign_or_null("+table_name+")",
integer16 then "integer16",
integer16_or_null then "integer16_or_null",
integer32 then "integer32",
integer32_or_null then "integer32_or_null",
integer then "integer",
integer_or_null then "integer_or_null",
char(Int size) then "char("+size+")",
char_or_null(Int size) then "char_or_null("+size+")",
text then "text",
text_or_null then "text_or_null"
}.
define String
format
(
MetaSQL_Attr a
) =
if a is
{
unique then "unique"
indexed then "indexed"
default(e) then "default("+value(e)+")"
}.
define String
format
(
MetaSQL_DBModify c
) =
"*** Database action: "+
if c is
{
create_table(t) then "create the table "+name(t)
create_column(tn,col) then "create the column "+name(col)+" in table "+tn
create_pk_column(tn) then "create a primary key column in table "+tn
set_type(tn,cn,type) then "set type of column "+cn+" to "+format(type)+" in table "+tn
reset_attribute(tn,cn,a) then
if a is unique
then "*** Error: resetting attribute unique for an already existing column ("+tn+"."+cn+") is impossible"
else "reset attribute "+format(a)+" for column "+cn+" in table "+tn
set_attribute(tn,cn,a) then
if a is unique
then "*** Error: setting attribute unique for an already existing column ("+tn+"."+cn+") is impossible"
else "set attribute "+format(a)+" for column "+cn+" in table "+tn
delete_table(tn) then "delete table "+tn
delete_column(tn,cn) then "delete column "+cn+" from table "+tn
}.
The next function gets the name of a table and a list of tables. It extracts (if possible)
the table with the given name from the list. It returns a pair made of the extracted
table and the list of remaining tables.
define Maybe((MetaSQL_TabStruct extracted,
List(MetaSQL_TabStruct) others))
extract_table
(
String table_name,
List(MetaSQL_TabStruct) l
) =
if l is
{
[ ] then failure, // table not found
[h . t] then
if name(h) = table_name
then success((h,t))
else if extract_table(table_name,t) is
{
failure then failure,
success(p) then if p is (a,r) then success((a,[h . r]))
}
}.
The same one for a column.
define Maybe((MetaSQL_ColStruct extracted,
List(MetaSQL_ColStruct) others))
extract_column
(
String column_name,
List(MetaSQL_ColStruct) l
) =
if l is
{
[ ] then failure, // column not found
[h . t] then
if name(h) = column_name
then success((h,t))
else if extract_column(column_name,t) is
{
failure then failure,
success(p) then if p is (a,r) then success((a,[h . r]))
}
}.
define String
index_name
(
String tn,
String cn
) =
tn+"_"+cn+"_index".
*** Finding the actions to be performed.
The function 'db_actions' takes two database descriptions (the old one and the new one),
and creates the list of all actions to be performed.
The function 'set_type_action' produces either no action or a single 'set_type' action.
define List(MetaSQL_DBModify)
set_type_action
(
MetaSQL_Specific spec,
String table_name,
String col_name,
MetaSQL_Type old_type,
MetaSQL_Type new_type
) =
with tdt = spec.to_database_type,
if tdt(old_type) = tdt(new_type)
then []
else [set_type(table_name,col_name,new_type)].
The function 'reset_attribute_actions' produces the 'reset_attribute' actions for
a given column.
define List(MetaSQL_DBModify)
reset_attribute_actions
(
String table_name,
String col_name,
List(MetaSQL_Attr) old_attrs,
List(MetaSQL_Attr) new_attrs
) =
if old_attrs is
{
[ ] then [ ],
[attr1 . others] then
if attr1:new_attrs
then reset_attribute_actions(table_name,col_name,others,new_attrs)
else [reset_attribute(table_name,col_name,attr1)
. reset_attribute_actions(table_name,col_name,others,new_attrs)]
}.
The same one for setting the attributes
define List(MetaSQL_DBModify)
set_attribute_actions
(
String table_name,
String col_name,
List(MetaSQL_Attr) old_attrs,
List(MetaSQL_Attr) new_attrs
) =
if new_attrs is
{
[ ] then [ ],
[attr1 . others] then
if attr1:old_attrs
then set_attribute_actions(table_name,col_name,old_attrs,others)
else [set_attribute(table_name,col_name,attr1)
. set_attribute_actions(table_name,col_name,old_attrs,others)]
}.
The function 'delete_index_column_set_actions' finds all the 'delete_index',
'delete_column', 'set_type', 'reset_attribute' and 'set_attribute' actions to be
performed for a given table.
define List(MetaSQL_DBModify)
delete_index_column_set_actions
(
MetaSQL_Specific spec,
String table_name,
List(MetaSQL_ColStruct) old_cols,
List(MetaSQL_ColStruct) new_cols
) =
if old_cols is
{
[ ] then [ ],
[oldcol1 . others] then if oldcol1 is col(cname,old_type,old_attrs) then
if find_column(cname,table_name,new_cols) is
{
failure then
[delete_column(table_name,cname) .
delete_index_column_set_actions(spec,table_name,others,new_cols)],
success(newcol1) then if newcol1 is col(_,new_type,new_attrs) then
set_type_action(spec,table_name,cname,old_type,new_type) +
reset_attribute_actions(table_name,cname,old_attrs,new_attrs) +
delete_index_column_set_actions(spec,table_name,others,new_cols)
}
}.
The function 'delete_actions' finds all the 'delete_?' actions to be performed.
define List(MetaSQL_DBModify)
delete_set_actions
(
MetaSQL_Specific spec,
List(MetaSQL_TabStruct) old_tables,
List(MetaSQL_TabStruct) new_tables
) =
// for each old table, find what has changed
if old_tables is
{
[ ] then [ ],
[oldtab1 . others] then if oldtab1 is table(name,pk,cols) then
if find_table(name,new_tables) is
{
failure then
[delete_table(name) . delete_set_actions(spec,others,new_tables)],
success(newtab1) then
delete_index_column_set_actions(spec,name,columns(oldtab1),columns(newtab1))
+ delete_set_actions(spec,others,new_tables)
}
}.
define Maybe(MetaSQL_Prepared)
has_default_value
(
List(MetaSQL_Attr) attrs
) =
if attrs is
{
[ ] then failure,
[a1 . others] then
if a1 is default(s)
then success(s)
else has_default_value(others)
}.
The function 'create_column_index_actions' finds the 'create_column' and 'create_index'
actions to be performed.
define List(MetaSQL_DBModify)
create_column_index_actions
(
String table_name,
List(MetaSQL_ColStruct) old_cols,
List(MetaSQL_ColStruct) new_cols
) =
if new_cols is
{
[ ] then [ ],
[newcol1 . others] then if newcol1 is col(cname,ctype,attrs) then
if find_column(cname,table_name,old_cols) is
{
failure then
[create_column(table_name,newcol1)] +
(if indexed:attrs
then [set_attribute(table_name,cname,indexed)]
else [ ])
success(oldcol1) then
(if ((indexed:attrs) & not(indexed:attributes(oldcol1)))
then [set_attribute(table_name,cname,indexed)]
else [ ])
} +
create_column_index_actions(table_name,old_cols,others)
}.
The function 'create_pk_column_index_actions' finds the 'create_pk_column' actions
and adds the corresponding mandatory 'create_index' actions.
define List(MetaSQL_DBModify)
create_pk_column_action
(
MetaSQL_TabStruct old_table,
MetaSQL_TabStruct new_table
) =
if new_table is table(tname,new_pk,_) then
if old_table is table(_,old_pk,_) then
if (old_pk,new_pk) = (no_pk,with_pk)
then [create_pk_column(tname)]
else [ ].
The function 'create_actions' finds all the 'create_table', 'create_clumn' and 'create_index'
actions to be performed.
define List(MetaSQL_DBModify)
create_actions
(
List(MetaSQL_TabStruct) old_tables,
List(MetaSQL_TabStruct) new_tables
) =
if new_tables is
{
[ ] then [ ],
[newtab1 . others] then if newtab1 is table(tname,new_pk,new_cols) then
if find_table(tname,old_tables) is
{
failure then
[create_table(newtab1) . create_actions(old_tables,others)],
success(oldtab1) then if oldtab1 is table(_,old_pk,old_cols) then
create_column_index_actions(tname,old_cols,new_cols) +
create_pk_column_action(oldtab1,newtab1) +
create_actions(old_tables,others)
}
}.
define List(MetaSQL_DBModify)
db_actions
(
MetaSQL_Specific spec,
List(MetaSQL_TabStruct) old_tables,
List(MetaSQL_TabStruct) new_tables
) =
delete_set_actions(spec,old_tables,new_tables) +
create_actions(old_tables,new_tables).
*** [] Executing modifications.
define String uda = "Unexpected database Answer".
public define Result(String /* error message */, One)
execute // execute a database modification
(
MetaSQL_Specific spec,
MetaSQL_DBModify modif
) =
with qf = spec.query_function,
if // first 'if' is for testing the result of the query (type of test: MetaSQL_Answer)
if // second 'if' is for deciding which query must be sent (type of test: MetaSQL_Modify)
modif is // 'is' for the second 'if'
{
create_table(tab) then
qf(if tab is table(name,pk,columns) then
"CREATE TABLE "+name+" ("+
if pk is
{
with_pk then "id bigserial NOT NULL UNIQUE PRIMARY KEY, ",
no_pk then ""
} + concat(map((MetaSQL_ColStruct c) |-> format_column_def(spec,c),columns),", ") +
");"),
// ") DISTRIBUTE BY REPLICATION;"),
create_column(table_name,c) then
if c is col(cname,ctype,attrs) then
qf("ALTER TABLE "+table_name+" ADD "+cname+" "+spec.to_database_type(ctype)+
(if nullable(ctype) then " NULL" else " NOT NULL")+
(if unique:attrs then " UNIQUE" else "")+
(if has_default_value(attrs) is
{
failure then ""
success(p) then " DEFAULT "+value(p)
})+
";"
),
create_pk_column(table_name) then
qf("ALTER TABLE "+table_name+" ADD "+
"id bigserial PRIMARY KEY UNIQUE NOT NULL;"),
set_type(table_name,column_name,new_type) then
qf("ALTER TABLE "+table_name+" ALTER "+column_name+
" TYPE "+spec.to_database_type(new_type)+";"),
reset_attribute(table_name,column_name,attr) then
if attr is
{
unique then error("Cannot reset attribute UNIQUE in "+table_name+"."+column_name)
indexed then
qf("DROP INDEX "+index_name(table_name,column_name)+" RESTRICT;")
default(p) then
qf("ALTER TABLE "+table_name+" ALTER "+column_name+" DROP DEFAULT"+";")
},
set_attribute(table_name,column_name,attr) then
if attr is
{
unique then error("Cannot set attribute UNIQUE in "+table_name+"."+column_name)
indexed then
qf("CREATE INDEX "+index_name(table_name,column_name)+
" ON "+table_name+" ("+column_name+");")
default(p) then
qf("ALTER TABLE "+table_name+" ALTER "+column_name+" SET DEFAULT "+value(p)+";")
},
delete_table(table_name) then
qf("DROP TABLE "+table_name+" RESTRICT;"),
delete_column(table_name,column_name) then
qf("ALTER TABLE "+table_name+" DROP COLUMN "+column_name+" RESTRICT;")
} is // 'is' for the first 'if'
{
error(msg) then error(msg),
command_complete then ok(unique),
table(_) then error(uda)
informations(i) then error(i)
}.
define Result(String /* error message*/, One)
create_empty_control_table
(
String -> MetaSQL_Answer query_function,
String database_name
) =
transaction(query_function)(
(String -> MetaSQL_Answer qf) |->
if qf("CREATE TABLE MetaSQL_Description (previous text);") is
{
error(msg) then error(msg),
command_complete then
if qf("INSERT INTO TABLE MetaSQL_Description (previous) "+
"VALUES ('"+
value(prepare_anubis(
(MetaSQL_DBStruct)database(database_name,
[ /* empty */ ])))+
"');") is
{
error(msg) then error(msg)
command_complete then ok(unique)
table(_) then error(uda)
informations(i) then error(i)
}
table(_) then error(uda)
informations(i) then error(i)
}).
define Maybe(MetaSQL_DBStruct)
extract_description
(
List(List(MaybeNull(ByteArray))) rows
) =
if rows is
{
[ ] then failure,
[h . t] then
if h is
{
[ ] then failure,
[d . _] then if d is
{
null then failure,
not_null(e) then (Maybe(MetaSQL_DBStruct))unserialize(base64_decode(e))
}
}
}.
define MetaSQL_DBStruct
retrieve_previous_description
(
MetaSQL_Specific spec
) =
if spec is specific(db_name,qf,_) then
if qf("SELECT * FROM MetaSQL_Description;") is
{
error(msg) then database(db_name,[]),
command_complete then database(db_name,[]),
table(rows) then
if extract_description(rows) is
{
failure then database(db_name,[]),
success(old_db) then old_db
}
informations(infos) then database(db_name,[])
}.
public define One
database_check
(
MetaSQL_Specific spec,
MetaSQL_DBStruct db
) =
if spec is specific(db_name,qf,to_database_type) then
with old_db = retrieve_previous_description(spec),
actions = db_actions(spec,tables(old_db),tables(db)),
map_forget((MetaSQL_DBModify c) |->
with msg = format(c)+"\n",
if msg = "" then unique else print(msg), actions);
map_forget((MetaSQL_DBModify c) |->
if execute(spec,c) is
{
error(msg) then print("*** Database error: "+msg+"\n")
ok(_) then unique
}, actions).