How to Implement Cassandra Counter Columns with phantom-dsl? - scala

This is an extension to this question:
How to increment Cassandra Counter Column with phantom-dsl?
This question has also been asked here.
In Thiagos example the two tables; 'songs' & 'songs_by_artist' both have the same rows but with different partitions (primary keys / clustering columns)
CREATE TABLE test.songs (
song_id timeuuid PRIMARY KEY,
album text,
artist text,
title text
);
CREATE TABLE test.songs_by_artist (
artist text,
song_id timeuuid,
album text,
title text,
PRIMARY KEY (artist, song_id)
) WITH CLUSTERING ORDER BY (song_id ASC);
This means inserting, updating and deleting across both tables within the SongsService works with the same base data / rows.
How would you for example have a table such as 'artist_songs_counts', with columns 'song_id' (K) and 'num_songs' (++) and ensure that 'SongsService' adds corresponding row to each table; 'songs' & 'songs_by_artist' & 'artist_songs_counts' (where there are different numbers of row but information should be linked, such as the artist info).
CREATE TABLE test.artist_songs_counts (
artist text PRIMARY KEY,
num_songs counter);

SongsService extends ProductionDatabaseProvider that gives to you an object called database where you have access to tables under a certain database:
/**
* Find songs by Id
* #param id
* #return
*/
def getSongById(id: UUID): Future[Option[Song]] = {
database.songsModel.getBySongId(id)
}
Or even better, handling two tables at the same time:
/**
* Save a song in both tables
*
* #param songs
* #return
*/
def saveOrUpdate(songs: Song): Future[ResultSet] = {
for {
byId <- database.songsModel.store(songs)
byArtist <- database.songsByArtistsModel.store(songs)
} yield byArtist
}
Since through a database object you can access all tables that belongs to a specific Database, I would implement a counter for artist the following way:
def increment(artist: String): Future[ResultSet] = {
update
.where(_.artist eqs artist)
.modify(_.numSongs += 1)
.future()
}
Then the saveOrUpdate method could be written as below:
def saveOrUpdate(song: Song): Future[ResultSet] = {
for {
byId <- database.songsModel.store(songs)
byArtist <- database.songsByArtistsModel.store(songs)
counter <- database.artistSongsCounter.increment(song.artist)
} yield byArtist
}

Related

H2: counting (with table lock)

I need to implement a counter by prefix and get the current value. Therefore I created a table UPLOAD_ID:
CREATE TABLE UPLOAD_ID
(
COUNTER INT NOT NULL,
UPLOAD_PREFIX VARCHAR(60) PRIMARY KEY
);
Using H2 and a Spring nativeQuery:
#Query(nativeQuery = true, value = MYQUERY)
override fun nextId(#Param("prefix") prefix: String): Long
with MYQUERY being
SELECT COUNTER FROM FINAL TABLE (
USING (SELECT CAST(:prefix AS VARCHAR) AS UPLOAD_PREFIX FOR UPDATE) S FOR UPDATE
ON T.UPLOAD_PREFIX = S.UPLOAD_PREFIX
WHEN MATCHED
THEN UPDATE
SET COUNTER = COUNTER + 1
WHEN NOT MATCHED
THEN INSERT (UPLOAD_PREFIX, COUNTER)
VALUES (S.UPLOAD_PREFIX, 1) );
I'm unable to lock the table to avoid "Unique index or primary key violation" in my test. In MSSQL I can add WITH (HOLDLOCK) T in MERGE INTO UPLOAD_ID WITH (HOLDLOCK) T to solve this issue.
The gist of my test looks like
try { uploadIdRepo.deleteById(prefix) } catch (e: EmptyResultDataAccessException) { }
val startCount = uploadIdRepo.findById(prefix).map { it.counter }.orElseGet { 0L }
val workerPool = Executors.newFixedThreadPool(35)
val nextValuesRequested = 100
val res = (1..nextValuesRequested).toList().parallelStream().map { i ->
workerPool.run {
uploadIdRepo.nextId(prefix)
}
}.toList()
res shouldHaveSize nextValuesRequested // result count
res.toSet() shouldHaveSize nextValuesRequested // result spread
res.max() shouldBeEqualComparingTo startCount + nextValuesRequested
Can I solve this with H2?

How to convert sqlite data to room database?

we already created sqlite database. this database we stored 500 000 up data but now we want to convert those data on room database. How to stored those all data in room database?
Migrate from SQLite to Room
Example : 😎
SQLiteOpenHelper implementation
User.java
public class User {
private int uId;
private String uName;
private String uContact;
public User() {
}
public User(int id, String name, String number){
this.uId = id;
this.uName = name;
this.uContact= number;
};
//getters setters left out for brevity
}
UserDbHelper.java
public class UserDbHelper extends SQLiteOpenHelper {
private static final int DATABASE_VERSION = 1;
// Database Name
private static final String DATABASE_NAME = "userDB";
// user table name
private static final String TABLE_USERS = "users";
// user Table Columns names
private static final String USER_ID = "user_id";
private static final String USER_NAME = "user_name";
private static final String USER_PH_NO = "user_contact";
public UserDbHelper(Context context) {
super(context, DATABASE_NAME, null, DATABASE_VERSION);
}
#Override
public void onCreate(SQLiteDatabase db) {
//create the table if not yet created
String CREATE_USER_TABLE = "CREATE TABLE " + TABLE_USERS + "("
+ USER_ID + " INTEGER PRIMARY KEY," + USER_NAME + " TEXT,"
+ USER_PH_NO + " TEXT" + ")";
db.execSQL(CREATE_USER_TABLE);
}
#Override
public void onUpgrade(SQLiteDatabase db, int i, int i1) {
// Drop older table if existed
db.execSQL("DROP TABLE IF EXISTS " + TABLE_USERS);
// Create tables again
onCreate(db);
}
public void addUser(User user){
//Add new user to database
SQLiteDatabase db = this.getWritableDatabase();
ContentValues values = new ContentValues();
values.put(USER_NAME, user.getUName()); // Contact Name
values.put(USER_PH_NO, user.getUContact()); // Contact Phone
values.put(USER_ID, user.getUId());
// Inserting Row
db.insert(TABLE_USERS, null, values);
db.close(); // Closing database connection
}
public User getUser(int id){
SQLiteDatabase db = this.getReadableDatabase();
Cursor cursor = db.query(TABLE_USERS, new String[] { USER_ID,
USER_NAME, USER_PH_NO }, USER_ID + "=?",
new String[] { String.valueOf(id) }, null, null, null, null);
if (cursor != null)
cursor.moveToFirst();
User contact = new User(Integer.parseInt(cursor.getString(0)),
cursor.getString(1), cursor.getString(2));
return contact;
}
}
add data
//get database instance
UserDbHelper userDbHelper = new UserDbHelper(this);
//add couple of users
userDbHelper.addUser(new User(1,"Hulk","11-445-9999"));
userDbHelper.addUser(new User(2,"Dominic","11-445-9999"));
And fetch the users using this.
User extractedUser = userDbHelper.getUser(1);
Migrating to Room:
User.java
#Entity
public class User {
#PrimaryKey
private int uId;
private String uName;
private String uNumber;
public User() {
}
#Ignore
public User(int id, String name, String number){
this.uId = id;
this.uName = name;
this.uNumber= number;
};
//add all the getters and setters here
}
UserDAO.java
#Dao
public interface UserDAO {
#Insert(onConflict = REPLACE)
void insertUser(User user);
#Query("SELECT * FROM User")
List<User> getUsers();
}
UserDB.java
#Database (entities = {User.class},version = 2)
public abstract class UserDB extends RoomDatabase {
public abstract UserDAO userDAO();
}
Migration instance
final Migration MIGRATION_1_2 = new Migration(1, 2) {
#Override
public void migrate(SupportSQLiteDatabase database) {
// Since we didn't alter the table, there's nothing else to do here.
}
};
//create db
final UserDB userDB = Room.databaseBuilder(this
, UserDB.class
, "userDB")
.addMigrations(MIGRATION_1_2)
.build();
//inserting and accessing data using DAO
//this operations needs to be performed on thread other than main thread
userDB.userDAO().insertUser(new User123(5,"Wowman", "888888888"));
userDB.userDAO().insertUser(new User123(6,"Captain", "888888888"));
User user = userDB.userDAO().getUsers().get(0);
Table
#ColumnInfoname(name="user_id")
private int uId;
For full demo https://github.com/amit-bhandari/RoomSamples
This is a potentially difficult task as Room has quite specific requirements for column definitions (the dreaded expected .... found ....).
In short Room can only have column types that are one off INTEGER, REAL, TEXT. BLOB. (note that Room does not support the NUMERIC type).
Furthermore column constraints also have to suit what Room expects.
I would suggest that the way to go is to create the #Entity annotated classes (one per table) with suitable members/fields, that matches the original database as closely as possible
Each #Entity annotated class MUST have a PRIMARY KEY either a single member/field annotated with #PrimaryKey or the primary key can be specified using the primaryKeys parameter of the #Entity annotation.
I would suggest after creating the first #Entity annotated class to then create the #Database annotated abstract class that extends the RoomDatabase class. Noting that the entities parameter should be a list of the #Entity annotated class (i.e. indicating which classes/tables are to be used for the database).
After the creation of each (at least at first) I would suggest compiling the project, so as to limit the possible issues that may be encountered.
Once you have all the #Entity annotated classes then you can consider the migration aspect.
As you have pre-existing data you will want to include the original database as an asset. Room can then copy this database from the asset via the createFromAsset method. However, there is a high chance that the tables will need converting to suit Room.
You can convert the tables either prior to creating the asset file or you could convert the tables via the prePackagedDatabaseCallback. I would suggest that the former is simpler as you can use one of the available SQLite Tools.
Obviously you need to know what needs to be converted. Rather to try to explain the rules. Room, after successfully compiling the project, generates the SQL that it uses to create the tables (and indexes and views)
triggers are not something that Room caters for (an exception being for FTS), so if you have triggers then you could add them as part of the conversion.
In the Android View after compiling you will see that in Java(generated) there will be class that is the same as the #Database annotated class but suffixed with Impl. In this class there will be a method createAllTables. This includes the SQL for all of the tables and indexes (ignore tables that start with sqlite_, android_ or room_ as these are system tables and will be created as required).
Basically you create these tables and then copy the data from original. Obviously one set of tables MUST have different names, after the data has been coped you then drop the original tables ending up with the new tables with the original names.
Thus at some stage you will have to rename a set of tables.
You can either
create the new tables different name, copy the data, drop the original tables and then rename the new tables, or
rename the original tables, create the new tables, copy the data and drop the renamed original tables
There is a good chance that you could do the copies using a simple INSERT SELECT. e.g. INSERT INTO new_table SELECT * FROM original_table;
however complexities can arise, again sometimes Room will have expectations that may not suit exactly.
Simple Example
This is based upon a data base with three tables:-
1) The establishment table with 5 columns:-
the establishment_id, a unique integer value that is the primary key.
the establishment_name, which has the name of the establishmnet as a text/string value and has the UNIQUE constraint.
the country, a text/string value.
the state, a text/string value.
the city a text/string value.
However, the column types use the flexibility of SQLite's column types to demonstrate (wrongly or rightfully is debatable and that debate is beyond the scope of the answer).
the DDL being
:-
CREATE TABLE establishment (
establishment_id INTEGER PRIMARY KEY,
establishment_name the_name_of_the_establishment UNIQUE,
country unusualcolumntype,
state VARCHAR(16),
city charvar(32)
);
The table is populated with according to:-
and
2) The classroom table with 3 columns:-
the classroom_id, a unique integer value that is the primary key.
the clasroom_name, a text/string value that has the UNQIUE constraint.
the classroom_capacity, an integer value.
the DDL being
:-
CREATE TABLE classroom (
classroom_id INTEGER PRIMARY KEY,
classroom_name UNIQUE,
classroom_capacity
);
the table is populated according to:-
finally
3) the establishment_classroom_map, an associative/mapping/reference (an various other terms) table that caters for a many-many relationship between establishments and rooms (albeit it unlikely that the same room would be used by multiple establishments). The table has 2 columns:-
the establishment_id_map, an integer value which MUST be an existing value in the establishment_id column of the establishment table (aka a Foreign Key).
the classroom_id_map, likewise an integer value which MUST be an existing value in the classrom_id column of the classroom table, again a Foreign Key.
the columns form a composite primary key
additionally, to add some complexity, the classroom_id_map column is also indexed.
the DDL being
:-
CREATE TABLE establishment_classroom_map (
establishment_id_map INTEGER REFERENCES establishment(establishment_id) ON DELETE CASCADE ON UPDATE CASCADE,
classroom_id_map INTEGER REFERENCES classroom(classroom_id) ON DELETE CASCADE ON UPDATE CASCADE,
PRIMARY KEY (establishment_id_map,classroom_id_map)
);
CREATE INDEX idx01_establishmentclassroommap_classroom ON establishment_classroom_map (classroom_id_map);
the table is populated as per:-
Using the following query:-
SELECT
establishment.establishment_name,
establishment.city
||','||establishment.state
||','||establishment.country AS establisment_address,
classroom.classroom_name, classroom.classroom_capacity
FROM establishment
JOIN establishment_classroom_map ON establishment.establishment_id = establishment_classroom_map.establishment_id_map
JOIN classroom ON establishment_classroom_map.classroom_id_map = classroom.classroom_id
;
results in:-
This is the Original Database to be converted.
Step1 - Creating the Room #Entity annotated classes (3 of them).
1.a in Android Studio a new empty Kotlin project is created (in this case SO74298106MigratePreRoomDatabase) and the minimal Room dependencies are added via File/Project Structure/Dependencies that result in:-
implementation 'androidx.room:room-ktx:2.5.0-beta01'
implementation 'androidx.room:room-runtime:2.5.0-beta01'
kapt 'androidx.room:room-compiler:2.5.0-beta01'
1.b for brevity and convenience a single file named DBStuff.kt is created (New Kotlin Class/File)
1.c The DBStuff file is changed from nothing to :-
const val ESTABLISHMENT_TABLE_NAME = "establishment"
const val ESTABLISHMENT_TABLE_ID_COLUMN_NAME = ESTABLISHMENT_TABLE_NAME + "_id"
const val ESTABLISHMENT_TABLE_NAME_COLUMN_NAME = ESTABLISHMENT_TABLE_NAME + "_name"
const val ESTABLISHMENT_TABLE_COUNTRY_COLUMN_NAME = "country"
const val ESTABLISHMENT_TABLE_STATE_COLUMN_NAME = "state"
const val ESTABLISHMENT_TABLE_CITY_COLUMN_NAME = "city"
#Entity(
tableName = ESTABLISHMENT_TABLE_NAME,
indices = [
Index(value = [ESTABLISHMENT_TABLE_NAME_COLUMN_NAME], unique = true)
]
)
data class Establishment(
/* as integer type AND annotated with #Primary key then an alias of the rowid */
/* note in theory rowid's can exceed the capacity of an Int, hence Long used */
/* the default value of null, is interpreted by room as not to supply a value and this the value will be generated */
/* it is inefficient to use AutoGenerate = true */
#PrimaryKey
#ColumnInfo(name = ESTABLISHMENT_TABLE_ID_COLUMN_NAME)
var establishment_id: Long?=null,
/* Note the single use of type String for all the various column types in the original */
#ColumnInfo(name = ESTABLISHMENT_TABLE_NAME_COLUMN_NAME)
var name: String, /* no ? so cannot be null */
#ColumnInfo(name = ESTABLISHMENT_TABLE_COUNTRY_COLUMN_NAME)
var country: String,
#ColumnInfo(name = ESTABLISHMENT_TABLE_STATE_COLUMN_NAME)
var state: String,
#ColumnInfo(name = ESTABLISHMENT_TABLE_CITY_COLUMN_NAME)
var city: String
)
#Database(entities = [Establishment::class], exportSchema = false, version = 1)
abstract class TheDatabase: RoomDatabase() {
}
The constants are not required but suggested as a single point for the column, table and database names.
Room will by default use the field/member/class name for the column and table names but you can change these as has been shown via the #ColumnInfo and for tablenames the #Entity annotation.
What Room doesn't cater for is the column's UNIQUE constraint. So to enforce the UNIQUEness a unique index has been specified for the establishment_name column.
Note the #Database annotated class with the Establishment class listed in the entities parameter of the #Database annotation, otherwise no use is yet made of the database. However, if at this stage the project is compiled then:-
i.e. Room has kindly let us know what it expects the exact schema to be.
i.e. how Room interprets the #Entity annotated Establishment class.
Room expects the establishment table to be exactly:-
CREATE TABLE IF NOT EXISTS `establishment` (
`establishment_id` INTEGER,
`establishment_name` TEXT NOT NULL,
`country` TEXT NOT NULL,
`state` TEXT NOT NULL,
`city` TEXT NOT NULL,
PRIMARY KEY(`establishment_id`)
)
not quite correct as establisment_id INTEGER PRIMARY KEY will be consider as the above (noting that the column level use of PRIMARY KEY cannot be used for a composite primary key).
The above does have a potential issue in that all columns have the NOT NULL constraint. If there are null values in the original data then constraint conflicts will result unless action is taken to either ignore (INSERT OR IGNORE INTO ....) or the column is converted e.g. '.... SELECT coalesce(the_column,'default_value'), .... '
as we can see the original data above does not contain nulls so this will not be an issue.
Onto the classroom table/#Entity annotated class, we add the following code:-
const val CLASSROOM_TABLE_NAME = "classroom"
const val CLASSROOM_TABLE_ID_COLUMN_NAME = CLASSROOM_TABLE_NAME + "_id"
const val CLASSROOM_TABLE_NAME_COLUMN_NAME = CLASSROOM_TABLE_NAME + "_name"
const val CLASSROOM_TABLE_CAPACITY_COLUMN_NAME = CLASSROOM_TABLE_NAME + "_capacity"
and
#Entity(
tableName = CLASSROOM_TABLE_NAME,
indices = [
Index(value = [CLASSROOM_TABLE_NAME_COLUMN_NAME], unique = true)
]
)
data class Classroom(
#PrimaryKey
#ColumnInfo(name = CLASSROOM_TABLE_ID_COLUMN_NAME)
var classroomId: Long?=null,
#ColumnInfo(name = CLASSROOM_TABLE_NAME_COLUMN_NAME)
var name: String,
#ColumnInfo(name = CLASSROOM_TABLE_CAPACITY_COLUMN_NAME)
var capacity: Int
)
and then change the #Database annotation to include the Classroom class in the entities parameter:-
#Database(entities = [Establishment::class,Classroom::class], exportSchema = false, version = 1)
and then compile and looking at the generated database class it now includes:-
_db.execSQL("CREATE TABLE IF NOT EXISTS `classroom` (`classroom_id` INTEGER, `classroom_name` TEXT NOT NULL, `classroom_capacity` INTEGER NOT NULL, PRIMARY KEY(`classroom_id`))");
_db.execSQL("CREATE UNIQUE INDEX IF NOT EXISTS `index_classroom_classroom_name` ON `classroom` (`classroom_name`)");
onto the establishment_classroom_map** table. This is a little more complex as Room needs to be told about
the Foreign Keys and
the index on the classroom_id_map column (so access via the classroom is more efficient) and
the composite primary key
So the following code is added:-
const val ESTABLISHMENTCLASSROOMMAP_TABLE_NAME = "${ESTABLISHMENT_TABLE_NAME}_${CLASSROOM_TABLE_NAME}_map"
const val ESTABLISHMENTCLASSROOMMAP_TABLE_ESTABLISHMENTIDMAP_COLUMN_NAME = "${ESTABLISHMENT_TABLE_ID_COLUMN_NAME}_map"
const val ESTABLISHMENTCLASSROOMMAP_TABLE_CLASSROOMIDMAP_COLUMN_NAME = "${CLASSROOM_TABLE_ID_COLUMN_NAME}_map"
and
#Entity(
tableName = ESTABLISHMENTCLASSROOMMAP_TABLE_NAME,
foreignKeys = [
ForeignKey(
entity = Establishment::class,
parentColumns = [ESTABLISHMENT_TABLE_ID_COLUMN_NAME],
childColumns = [ESTABLISHMENTCLASSROOMMAP_TABLE_ESTABLISHMENTIDMAP_COLUMN_NAME],
onDelete = ForeignKey.CASCADE,
onUpdate = ForeignKey.CASCADE
),
ForeignKey(
entity = Classroom::class,
parentColumns = [CLASSROOM_TABLE_ID_COLUMN_NAME],
childColumns = [ESTABLISHMENTCLASSROOMMAP_TABLE_CLASSROOMIDMAP_COLUMN_NAME],
onDelete = CASCADE,
onUpdate = CASCADE
)
],
primaryKeys = [ESTABLISHMENTCLASSROOMMAP_TABLE_ESTABLISHMENTIDMAP_COLUMN_NAME, ESTABLISHMENTCLASSROOMMAP_TABLE_CLASSROOMIDMAP_COLUMN_NAME]
)
data class EstablishmentClassroomMap(
#ColumnInfo(name = ESTABLISHMENTCLASSROOMMAP_TABLE_ESTABLISHMENTIDMAP_COLUMN_NAME)
var establishment_id_map: Long,
#ColumnInfo(name = ESTABLISHMENTCLASSROOMMAP_TABLE_CLASSROOMIDMAP_COLUMN_NAME, index = true)
var classroom_id_map: Long
)
foreign keys and composite primary key are defined in the #Entity annotation
and
the index on the classroom_id_map column is defined in the #ColumnInfo annotation
After yet again amending the #Database annotation to now use entities = [Establishment::class,Classroom::class, EstablishmentClassroomMap::class] and then compiling the following is additionally generated:-
_db.execSQL("CREATE TABLE IF NOT EXISTS `establishment_classroom_map` (`establishment_id_map` INTEGER NOT NULL, `classroom_id_map` INTEGER NOT NULL, PRIMARY KEY(`establishment_id_map`, `classroom_id_map`), FOREIGN KEY(`establishment_id_map`) REFERENCES `establishment`(`establishment_id`) ON UPDATE CASCADE ON DELETE CASCADE , FOREIGN KEY(`classroom_id_map`) REFERENCES `classroom`(`classroom_id`) ON UPDATE CASCADE ON DELETE CASCADE )");
_db.execSQL("CREATE INDEX IF NOT EXISTS `index_establishment_classroom_map_classroom_id_map` ON `establishment_classroom_map` (`classroom_id_map`)");
Now the SQL for the creation of the tables that Room expects exists.
Step 2 Converting the original data to suit room.
IT IS STRONGLY SUGGESTED THAT THIS IS DONE USING A COPY OF THE ORIGINAL DATABASE OR THAT THE ORIGINAL DATABASE IS BACKED UP
This is probably best done using an SQLite tool (Navicat for SQlite used in this case). In short you generate and populate the tables created as per the generated SQl after successful compilation.
Here's the query used for the conversion (it includes the original query used above to display the joined data):-
/*
>>>>>>>>>> IMPORTANT <<<<<<<<<<
>>>>>>>>>> COMMENTED OUT AFTER FIRST RUN AS THEY WILL FAIL AFTER RUNNING ONCE <<<<<<<<<<
ALTER TABLE establishment_classroom_map RENAME TO original_establishment_classroom_map;
ALTER TABLE establishment RENAME TO original_establishment;
ALTER TABLE classroom RENAME TO original_classroom;
*/
/* FROM Generated Java (copied here as is so it can be copied from here):-
_db.execSQL("CREATE TABLE IF NOT EXISTS `establishment` (`establishment_id` INTEGER, `establishment_name` TEXT NOT NULL, `country` TEXT NOT NULL, `state` TEXT NOT NULL, `city` TEXT NOT NULL, PRIMARY KEY(`establishment_id`))");
_db.execSQL("CREATE UNIQUE INDEX IF NOT EXISTS `index_establishment_establishment_name` ON `establishment` (`establishment_name`)");
_db.execSQL("CREATE TABLE IF NOT EXISTS `classroom` (`classroom_id` INTEGER, `classroom_name` TEXT NOT NULL, `classroom_capacity` INTEGER NOT NULL, PRIMARY KEY(`classroom_id`))");
_db.execSQL("CREATE UNIQUE INDEX IF NOT EXISTS `index_classroom_classroom_name` ON `classroom` (`classroom_name`)");
_db.execSQL("CREATE TABLE IF NOT EXISTS `establishment_classroom_map` (`establishment_id_map` INTEGER NOT NULL, `classroom_id_map` INTEGER NOT NULL, PRIMARY KEY(`establishment_id_map`, `classroom_id_map`), FOREIGN KEY(`establishment_id_map`) REFERENCES `establishment`(`establishment_id`) ON UPDATE CASCADE ON DELETE CASCADE , FOREIGN KEY(`classroom_id_map`) REFERENCES `classroom`(`classroom_id`) ON UPDATE CASCADE ON DELETE CASCADE )");
_db.execSQL("CREATE INDEX IF NOT EXISTS `index_establishment_classroom_map_classroom_id_map` ON `establishment_classroom_map` (`classroom_id_map`)");
*/
/* Just in case the tables exist drop them (they shouldn't but if rerunning they will)*/
DROP TABLE IF EXISTS establishment_classroom_map;
DROP TABLE IF EXISTS establishment;
DROP TABLE IF EXISTS classroom;
CREATE TABLE IF NOT EXISTS `establishment` (
`establishment_id` INTEGER,
`establishment_name` TEXT NOT NULL,
`country` TEXT NOT NULL,
`state` TEXT NOT NULL,
`city` TEXT NOT NULL,
PRIMARY KEY(`establishment_id`)
);
CREATE UNIQUE INDEX IF NOT EXISTS `index_establishment_establishment_name` ON `establishment` (`establishment_name`);
CREATE TABLE IF NOT EXISTS `classroom` (
`classroom_id` INTEGER,
`classroom_name` TEXT NOT NULL,
`classroom_capacity` INTEGER NOT NULL,
PRIMARY KEY(`classroom_id`)
);
CREATE UNIQUE INDEX IF NOT EXISTS `index_classroom_classroom_name` ON `classroom` (`classroom_name`);
CREATE TABLE IF NOT EXISTS `establishment_classroom_map` (
`establishment_id_map` INTEGER NOT NULL,
`classroom_id_map` INTEGER NOT NULL,
PRIMARY KEY(
`establishment_id_map`,
`classroom_id_map`
),
FOREIGN KEY(`establishment_id_map`) REFERENCES `establishment`(`establishment_id`) ON UPDATE CASCADE ON DELETE CASCADE ,
FOREIGN KEY(`classroom_id_map`) REFERENCES `classroom`(`classroom_id`) ON UPDATE CASCADE ON DELETE CASCADE
);
INSERT /* OR IGNORE */ INTO establishment SELECT * FROM original_establishment;
INSERT /* OR IGNORE */ INTO classroom SELECT * FROM original_classroom;
INSERT /* OR IGNORE */ INTO establishment_classroom_map SELECT * FROM original_establishment_classroom_map;
/* MORE EFFICIENT IF LEFT TILL AFTER INSERTS BUT WILL NOT DETECT UNIQUE CONFLICTS */
CREATE INDEX IF NOT EXISTS `index_establishment_classroom_map_classroom_id_map` ON `establishment_classroom_map` (`classroom_id_map`);
SELECT
establishment.establishment_name,
establishment.city
||','||establishment.state
||','||establishment.country AS establisment_address,
classroom.classroom_name, classroom.classroom_capacity
FROM establishment
JOIN establishment_classroom_map ON establishment.establishment_id = establishment_classroom_map.establishment_id_map
JOIN classroom ON establishment_classroom_map.classroom_id_map = classroom.classroom_id
;
/* ONLY INTRODUCE WHEN FULLY CONFIDENT THAT THE CONVERSION WORKS
DROP TABLE IF EXISTS original_establishment_classroom_map;
DROP TABLE IF EXISTS original_establishment;
DROP TABLE IF EXISTS original_classroom;
*/
The end result (output from query) :-
Note as this is just a demo the original tables have not been dropped
The database should then be saved and closed.
Step 3 using the converted database
Copy and paste the database into the assets folder (you may have to create the assets folder, right click App/New/Directory/src/main/assets)
Create an #Dao annotated interface so that the database can be accessed easily. e.g.
#Dao
interface AllDao {
#Query("SELECT * FROM ${ESTABLISHMENT_TABLE_NAME}")
fun getAllEstablishments(): List<Establishment>
#Query("SELECT * FROM ${CLASSROOM_TABLE_NAME}")
fun getAllClassrooms(): List<Classroom>
#Query("SELECT * FROM ${ESTABLISHMENTCLASSROOMMAP_TABLE_NAME}")
fun getAllEstablishmentClassroomMaps(): List<EstablishmentClassroomMap>
}
Amend the #Database annotated class to include an abstract function to get an instance of the #Dao annotated class. You may wish to add a singleton to allow a single instance of the database to be retrieved rather than using Room's databaseBuilder method multiple times. Noting that you will be using the databaseBuilder's createFromAsset to copy the database from the assets folder when the database is first required (i.e. the very first time the App is run) so you could for example have:-
#Database(entities = [Establishment::class,Classroom::class, EstablishmentClassroomMap::class], exportSchema = false, version = 1)
abstract class TheDatabase: RoomDatabase() {
abstract fun getAllDao(): AllDao
companion object {
private var instance: TheDatabase? = null
fun getInstance(context: Context): TheDatabase {
if (instance == null) {
instance = Room.databaseBuilder(context, TheDatabase::class.java, "TheDatabase.db")
.allowMainThreadQueries()
.createFromAsset("TheDatabase.db")
.build()
}
return instance as TheDatabase
}
}
}
NOTE the string encoded in the createFromAsset this MUST match the file name of the copied database (which can be renamed to suit) e.g:-
Lastly to test some code is added in an activity to access the database (the copy from the assets folder will only be done if an attempt is made to actually access the database (getting an instance of the #Database annotated class WILL NOT access the database)) so for example:-
class MainActivity : AppCompatActivity() {
lateinit var db: TheDatabase
lateinit var dao: AllDao
override fun onCreate(savedInstanceState: Bundle?) {
super.onCreate(savedInstanceState)
setContentView(R.layout.activity_main)
db = TheDatabase.getInstance(this)
dao = db.getAllDao()
for (e in dao.getAllEstablishments()) {
Log.d("DBINFO_ESTAB","ID is ${e.establishment_id} name is ${e.name} etc")
}
for (c in dao.getAllClassrooms()) {
Log.d("DBINFO_CLS","ID is ${c.classroomId} name is ${c.name} etc")
}
for (ecm in dao.getAllEstablishmentClassroomMaps()) {
Log.d("DBINFO_ECM", "ESTID is ${ecm.establishment_id_map} CLSID is ${ecm.classroom_id_map}")
}
}
}
And when run the log contains:-
2022-11-04 14:04:22.436 D/DBINFO_ESTAB: ID is 100 name is Massachusetts Institute of Technology (MIT) etc
2022-11-04 14:04:22.436 D/DBINFO_ESTAB: ID is 110 name is Oxford University etc
2022-11-04 14:04:22.436 D/DBINFO_ESTAB: ID is 120 name is Cambridge University etc
2022-11-04 14:04:22.436 D/DBINFO_ESTAB: ID is 130 name is Hull University etc
2022-11-04 14:04:22.436 D/DBINFO_ESTAB: ID is 131 name is Imperial College etc
2022-11-04 14:04:22.439 D/DBINFO_CLS: ID is 200 name is RM001 etc
2022-11-04 14:04:22.439 D/DBINFO_CLS: ID is 210 name is RM002 etc
2022-11-04 14:04:22.439 D/DBINFO_CLS: ID is 220 name is LAB001 etc
2022-11-04 14:04:22.439 D/DBINFO_CLS: ID is 230 name is LAB002 etc
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 100 CLSID is 200
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 100 CLSID is 220
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 110 CLSID is 210
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 110 CLSID is 230
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 120 CLSID is 220
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 120 CLSID is 230
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 130 CLSID is 200
2022-11-04 14:04:22.441 D/DBINFO_ECM: ESTID is 130 CLSID is 210
Using App inspection and the query from the conversion:-

Conditional insert returning option of inserted row in Slick

I am trying to create a conditional insert into a table with responses for an event. The event may have a limit on how many responses/attendees it can support so to prevent overbooking I want to check the status before I insert a new response.
The tables match the database models I have (IDs are generated by DB/auto inc):
case class Event(id: Option[Int], name: String, limitedCapacity: Option[Int])
case class Response(id: Option[Int], eventId: Int, email: String)
I have constructed a SQL statement that describes my conditional insert (eg, only insert if event has no limited capacity or if number of responses are less than the limit) that looks like this:
INSERT INTO responses(eventId, email)
SELECT :eventId, :email
FROM events
WHERE id = :eventId
AND (limitedCapacity IS NULL
OR (SELECT COUNT(1) FROM responses WHERE eventId = :eventId) < limitedCapacity);
but I don't know how to translate that into Slick DSL that also returns the inserted row. I am using PostgreSQL so I know return-row-on-insert is possible for normal insertions at least.
Here is some code that shows what I am after but I want this as a single transaction:
def create(response: Response): Future[Option[Response]] = {
val event = db.run(events.filter(_.id === response.eventId).result.head)
if (event.limitedCapacity.isEmpty) {
db.run((responses returning responses) += response).map(Some(_))
}
else {
val responseCount = db.run(responses.filter(_.eventId === response.id).length.result)
if (responseCount < event.limitedCapacity.get) {
db.run((responses returning responses) += response).map(Some(_))
}
else {
Future.sucessful(None)
}
}
}
If it is not possible to return the inserted row that is fine but I need some kind of confirmation of the insertion at least.

Race condition when manually setting the id in sqlalchemy

I want that all my object have a unique id that is set by PostgreSQL with a (serial) and another id that depends to the first one.
When creating an object if I set the second id after saving it, I'll have an INSERT and an UPDATE on the table, what is not really the best.
So to have only one INSERT I fetch the id from the PostgreSQL sequence and set the id with it instead of letting PostgreSQL do it at INSERT stage.
I'm pretty new on SQLAlchemy and want to be sure that this way of doing is race condition proof.
Thanks for you thoughts on this idea
class MyModel:
def __init__(self, session, **data):
"""
Base constructor for almost all model classes, performing common tasks
"""
cls = type(self)
if session:
"""To avoid having an UPDATE right after the INSERT we manually fetch
the next available id using a postgresl internal
SELECT nextval(pg_get_serial_sequence('events', 'id'));
To do that we need the table's name and the sequence
column's name, by chance we use the same name in all our
model
"""
table_name = cls.__tablename__
qry = f"SELECT nextval(pg_get_serial_sequence('{table_name}', 'id'))"
rs = session.execute(qry)
# TODO : find a non ugly way to to that
for row in rs:
next_id = row[0]
# manually set the object id
self.id = next_id
# set the external_id before saving the object in the database
self.ex_id = cls.ex_id_prefix + self.id
session.add(self)
session.flush([self])
If you are targetting Postgresql 12 or later, you can use a generated column. SQLAlchemy's Computed column type will create such a column, and we can pass an SQL expression to compute the value.
The model would look like this:
class MyModel(Base):
__tablename__ = 't68225046'
ex_id_prefix = 'prefix_'
id = sa.Column(sa.Integer, primary_key=True)
ex_id = sa.Column(sa.String,
sa.Computed(sa.text(":p || id::varchar").bindparams(p=ex_id_prefix)))
producing this DDL
CREATE TABLE t68225046 (
id SERIAL NOT NULL,
ex_id VARCHAR GENERATED ALWAYS AS ('prefix_' || id::varchar) STORED,
PRIMARY KEY (id)
)
and a single insert statement
2021-09-19 ... INFO sqlalchemy.engine.Engine BEGIN (implicit)
2021-09-19 ... INFO sqlalchemy.engine.Engine INSERT INTO t68225046 DEFAULT VALUES RETURNING t68225046.id
2021-09-19 ... INFO sqlalchemy.engine.Engine [generated in 0.00014s] {}
2021-09-19 ... INFO sqlalchemy.engine.Engine COMMIT
For earlier releases of Postgresql, or if you don't need to store the value in the database, you could simulate it with a hybrid property.
import sqlalchemy as sa
from sqlalchemy import orm
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.sql import cast
Base = orm.declarative_base()
class MyModel(Base):
__tablename__ = 't68225046'
ex_id_prefix = 'prefix_'
id = sa.Column(sa.Integer, primary_key=True)
#hybrid_property
def ex_id(self):
return self.ex_id_prefix + str(self.id)
#ex_id.expression
def ex_id(cls):
# See https://stackoverflow.com/a/54487891/5320906
return cls.ex_id_prefix + cast(cls.id, sa.String)

Relationship in Laravel-5.6

I have three tables like below.
posts
_id - integer
name - string
sentences
_id - integer
post_id - integer
name - string
translations (word by word)
_id - integer
post_id - integer
sentence_id - integer
word_id - integer
name - string
In PostController.php I am trying to fetch data like below
return Post::with(['sentences', 'sentences.translations'])->limit(2)->get();
I have function in post.php model is like below
protected $primaryKey = '_id';
public function sentences()
{
return $this->hasMany('App\Model\sentence', 'post_id','_id');
}
I have function in sentences.php model is like below
protected $primaryKey = '_id';
public function translations()
{
return $this->hasMany('App\Model\translation', 'sentence_id','_id');
}
I would like to fetch posts along with sentences and translations.
I can fetch post and sentences but I am facing issue while I am trying to fetch translations.
I am getting all the translations which sentence_id is matched with idof sentences table, but post_id is not matching with the current post id of post table.
If you've named your primary keys any thing other than id, you need to set the primary key name on each model:
class Post extends Model {
protected $primaryKey = '_id';
}
Match your relations to the correct name also:
return $this->hasMany(Sentence::class, 'post_id','_id');