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DOWNLOAD | SLICK
Download. The current stable release is Slick 3.3.3 for Scala 2.11, 2.12, and 2.13. (Community help adding Scala 3 support is needed; see this ticket.) The easiest way to get started is with a working application in Lightbend TechHub.To learn the basics of Slick start with the Hello Slick sample. QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree thatPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP QUERIES - SLICKSEE MORE ON SCALA-SLICK.ORG DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs. SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from theDOWNLOAD | SLICK
Download. The current stable release is Slick 3.3.3 for Scala 2.11, 2.12, and 2.13. (Community help adding Scala 3 support is needed; see this ticket.) The easiest way to get started is with a working application in Lightbend TechHub.To learn the basics of Slick start with the Hello Slick sample. QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree thatPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP QUERIES - SLICKSEE MORE ON SCALA-SLICK.ORG DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs.DOWNLOAD | SLICK
Download. The current stable release is Slick 3.3.3 for Scala 2.11, 2.12, and 2.13. (Community help adding Scala 3 support is needed; see this ticket.) The easiest way to get started is with a working application in Lightbend TechHub.To learn the basics of Slick start with the Hello Slick sample.INTRODUCTION
Slick integrates databases directly into Scala, allowing stored and remote data to be queried and processed in the same way as in-memory data, using ordinary Scala classes and collections. This enables full control over when a database is accessed and which data is transferred. The language integrated query model in Slick’s FRM isinspired by
QUERIES - SLICK
All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree that DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several differentSLICK 3.3.3
We have just released Slick 3.3.0 You can find the source code here: https://github.com/slick/slick/tree/v3.3.0. Builds for Scala 2.11 and 2.12 are available from DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different SCHEMAS — SLICK 3.2.0 DOCUMENTATION All columns are defined through the column method. Each column has a Scala type and a column name for the database (usually in upper-case). The following primitive types are supported out of the box for JDBC-based databases in JdbcProfile (with certain limitations imposed by the individual database profiles):. Numeric types: Byte, Short, Int, Long, BigDecimal, Float, DoubleSCHEMAS - SLICK
Schemas. This chapter describes how to work with database schemas in Scala code, in particular how to write them manually, which is useful when you start writing an application without a pre-existing database. If you already have a schema in the database, you can also use the code generator to take this work off your hands.SLICK 3.3.0
These are the major changes in Slick 3.3.0: MySQL driver 6.x support #1924. Upgrade to Reactive Streams v1.0.2 #1927. Fix critial bug in AsyncExcutor #1856. Add support for Postgres citext #1848. Added filterOpt and filterIf to Query. #1909. Added createIfNotExists and dropIfExists schema methods #1704. Added support for java.time columns#1872
SCHEMA CODE GENERATION Schema Code Generation¶. The Slick code generator is a convenient tool for working with an existing or evolving database schema. It can be run stand-alone or integrated into your sbt build for creating all code Slick needs to work. SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree that DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCPPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs. SLICK TESTKITSEE MORE ON SCALA-SLICK.ORGSLICK
Scalar Database Functions. Other Database Functions And Stored Procedures. Using Custom Scalar Types in Queries. Using Custom Record Types in Queries. Polymorphic Types (e.g. Custom Tuple Types or HLists) Monomorphic Case Classes. Combining Mapped Types. Plain SQL Queries. Scaffolding. SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree that DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCPPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs. SLICK TESTKITSEE MORE ON SCALA-SLICK.ORGSLICK
Scalar Database Functions. Other Database Functions And Stored Procedures. Using Custom Scalar Types in Queries. Using Custom Record Types in Queries. Polymorphic Types (e.g. Custom Tuple Types or HLists) Monomorphic Case Classes. Combining Mapped Types. Plain SQL Queries. Scaffolding.DOWNLOAD | SLICK
Download. The current stable release is Slick 3.3.3 for Scala 2.11, 2.12, and 2.13. (Community help adding Scala 3 support is needed; see this ticket.) The easiest way to get started is with a working application in Lightbend TechHub.To learn the basics of Slick start with the Hello Slick sample.DOCUMENTATION
Slick Joda Date mapper - Enables you to use joda-time with Slick. You can persist DateTime, Instant, LocalDateTime, LocalDate, LocalTime, DateTimeZone with Slick. Slick Postgres extensions - Slick extensions for PostgreSQL, to support a series of pg data types and related operators/functions.QUERIES - SLICK
All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree that DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different SCHEMAS — SLICK 3.2.0 DOCUMENTATION All columns are defined through the column method. Each column has a Scala type and a column name for the database (usually in upper-case). The following primitive types are supported out of the box for JDBC-based databases in JdbcProfile (with certain limitations imposed by the individual database profiles):. Numeric types: Byte, Short, Int, Long, BigDecimal, Float, DoubleSLICK 3.3.0
These are the major changes in Slick 3.3.0: MySQL driver 6.x support #1924. Upgrade to Reactive Streams v1.0.2 #1927. Fix critial bug in AsyncExcutor #1856. Add support for Postgres citext #1848. Added filterOpt and filterIf to Query. #1909. Added createIfNotExists and dropIfExists schema methods #1704. Added support for java.time columns#1872
COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs.SCHEMAS - SLICK
All columns are defined through the column method. Each column has a Scala type and a column name for the database (usually in upper-case). The following primitive types are supported out of the box for JDBC-based databases in JdbcProfile (with certain limitations imposed by the individual database profiles):. Numeric types: Byte, Short, Int, Long, BigDecimal, Float, DoubleCONFIGURATION
Configuration¶. In addition to configuring your database connections in application.conf you can also set some global options in this file or through system properties (see the Typesafe Config documentation for details). These are the available options and their default values as defined in Slick’s own reference.conf:SLICK TESTKIT
Slick TestKit. When you write your own database profile for Slick, you need a way to run all the standard unit tests on it (in addition to any custom tests you may want to add) to ensure that it works correctly and does not claim to support any capabilities which are not actually implemented. For this purpose the Slick unit tests have been SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree thatSLICK
Scalar Database Functions. Other Database Functions And Stored Procedures. Using Custom Scalar Types in Queries. Using Custom Record Types in Queries. Polymorphic Types (e.g. Custom Tuple Types or HLists) Monomorphic Case Classes. Combining Mapped Types. Plain SQL Queries. Scaffolding. DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCPPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
QUERIES - SLICKSEE MORE ON SCALA-SLICK.ORG DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs. SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree thatSLICK
Scalar Database Functions. Other Database Functions And Stored Procedures. Using Custom Scalar Types in Queries. Using Custom Record Types in Queries. Polymorphic Types (e.g. Custom Tuple Types or HLists) Monomorphic Case Classes. Combining Mapped Types. Plain SQL Queries. Scaffolding. DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCPPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
QUERIES - SLICKSEE MORE ON SCALA-SLICK.ORG DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs.DOWNLOAD | SLICK
Download. The current stable release is Slick 3.3.3 for Scala 2.11, 2.12, and 2.13. (Community help adding Scala 3 support is needed; see this ticket.) The easiest way to get started is with a working application in Lightbend TechHub.To learn the basics of Slick start with the Hello Slick sample.INTRODUCTION
Slick integrates databases directly into Scala, allowing stored and remote data to be queried and processed in the same way as in-memory data, using ordinary Scala classes and collections. This enables full control over when a database is accessed and which data is transferred. The language integrated query model in Slick’s FRM isinspired by
QUERIES - SLICK
All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree that SCHEMAS — SLICK 3.2.0 DOCUMENTATION All columns are defined through the column method. Each column has a Scala type and a column name for the database (usually in upper-case). The following primitive types are supported out of the box for JDBC-based databases in JdbcProfile (with certain limitations imposed by the individual database profiles):. Numeric types: Byte, Short, Int, Long, BigDecimal, Float, Double COMING FROM SQL TO SLICK .list returns a list of results..first a single result..foreach can be used to iterate over the results without ever materializing all results at once.. Slick type-safe, composable queries. Slick’s key feature is type-safe, composable queries. Slick comes with a Scala-to-SQL compiler, which allows a (purely functional) sub-set of the Scala language to be compiled to SQL queries. DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several differentSCHEMAS - SLICK
Schemas. This chapter describes how to work with database schemas in Scala code, in particular how to write them manually, which is useful when you start writing an application without a pre-existing database. If you already have a schema in the database, you can also use the code generator to take this work off your hands. COMING FROM SQL TO SLICK Coming from SQL to Slick¶. Coming from JDBC/SQL to Slick is pretty straight forward in many ways. Slick can be considered as a drop-in replacement with a nicer API for handling connections, fetching results and using a query language, which is integrated more nicelyinto
SCHEMA CODE GENERATION Overview¶. By default, the code generator generates Table classes, corresponding TableQuery values, which can be used in a collection-like manner, as well as case classes for holding complete rows of values. For tables with more than 22 columns the generator automatically switches to Slick’s experimental HList implementation for overcoming Scala’s tuple size limit.CONFIGURATION
Configuration¶. In addition to configuring your database connections in application.conf you can also set some global options in this file or through system properties (see the Typesafe Config documentation for details). These are the available options and their default values as defined in Slick’s own reference.conf: SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree thatSLICK
Scalar Database Functions. Other Database Functions And Stored Procedures. Using Custom Scalar Types in Queries. Using Custom Record Types in Queries. Polymorphic Types (e.g. Custom Tuple Types or HLists) Monomorphic Case Classes. Combining Mapped Types. Plain SQL Queries. Scaffolding. DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCPPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
QUERIES - SLICKSEE MORE ON SCALA-SLICK.ORG DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs. SLICKDOCUMENTATIONNEWS ARCHIVEDOWNLOADSLICKCOMMUNITY Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the QUERIES — SLICK 3.2.0 DOCUMENTATION All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree thatSLICK
Scalar Database Functions. Other Database Functions And Stored Procedures. Using Custom Scalar Types in Queries. Using Custom Record Types in Queries. Polymorphic Types (e.g. Custom Tuple Types or HLists) Monomorphic Case Classes. Combining Mapped Types. Plain SQL Queries. Scaffolding. DATABASE CONFIGURATION Database thread pool. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCP DATABASE CONFIGURATION Database thread pool¶. Every Database contains an AsyncExecutor that manages the thread pool for asynchronous execution of Database I/O Actions. Its size is the main parameter to tune for the best performance of the Database object. It should be set to the value that you would use for the size of the connection pool in a traditional, blocking application (see About Pool Sizing in the HikariCPPLAIN SQL QUERIES
Plain SQL queries in Slick are built via string interpolation using the sql, sqlu and tsql interpolators. They are available through the standard api._ import from a Slick driver: import slick.driver.H2Driver.api._. You can see the simplest use case in thefollowing methods
QUERIES - SLICKSEE MORE ON SCALA-SLICK.ORG DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several different COMING FROM ORM TO SLICK Slick is not an object-relational mapper (ORM) like Hibernate or others. Slick is a data persistence solution like ORMs and naturally shares some concepts, but it also has significant differences. This chapter explains the differences in order to help you get the best out of Slick and avoid confusion for those familiar with ORMs.DOWNLOAD | SLICK
Download. The current stable release is Slick 3.3.3 for Scala 2.11, 2.12, and 2.13. (Community help adding Scala 3 support is needed; see this ticket.) The easiest way to get started is with a working application in Lightbend TechHub.To learn the basics of Slick start with the Hello Slick sample.INTRODUCTION
Slick integrates databases directly into Scala, allowing stored and remote data to be queried and processed in the same way as in-memory data, using ordinary Scala classes and collections. This enables full control over when a database is accessed and which data is transferred. The language integrated query model in Slick’s FRM isinspired by
QUERIES - SLICK
All plain types are lifted into Rep.The same is true for the table row type Coffees which is a subtype of Rep.Even the literal 8.0 is automatically lifted to a Rep by an implicit conversion because that is what the > operator on Rep expects for the right-hand side. This lifting is necessary because the lifted types allow us to generate a syntax tree that SCHEMAS — SLICK 3.2.0 DOCUMENTATION All columns are defined through the column method. Each column has a Scala type and a column name for the database (usually in upper-case). The following primitive types are supported out of the box for JDBC-based databases in JdbcProfile (with certain limitations imposed by the individual database profiles):. Numeric types: Byte, Short, Int, Long, BigDecimal, Float, Double COMING FROM SQL TO SLICK .list returns a list of results..first a single result..foreach can be used to iterate over the results without ever materializing all results at once.. Slick type-safe, composable queries. Slick’s key feature is type-safe, composable queries. Slick comes with a Scala-to-SQL compiler, which allows a (purely functional) sub-set of the Scala language to be compiled to SQL queries. DATABASE I/O ACTIONS Database I/O Actions¶. Anything that you can execute on a database, whether it is a getting the result of a query (myQuery.result), creating a table (myTable.schema.create), inserting data (myTable += item) or something else, is an instance of DBIOAction, parameterized by the result type it will produce when you execute it.Database I/O Actions can be combined with several differentSCHEMAS - SLICK
Schemas. This chapter describes how to work with database schemas in Scala code, in particular how to write them manually, which is useful when you start writing an application without a pre-existing database. If you already have a schema in the database, you can also use the code generator to take this work off your hands. COMING FROM SQL TO SLICK Coming from SQL to Slick¶. Coming from JDBC/SQL to Slick is pretty straight forward in many ways. Slick can be considered as a drop-in replacement with a nicer API for handling connections, fetching results and using a query language, which is integrated more nicelyinto
SCHEMA CODE GENERATION Overview¶. By default, the code generator generates Table classes, corresponding TableQuery values, which can be used in a collection-like manner, as well as case classes for holding complete rows of values. For tables with more than 22 columns the generator automatically switches to Slick’s experimental HList implementation for overcoming Scala’s tuple size limit.CONFIGURATION
Configuration¶. In addition to configuring your database connections in application.conf you can also set some global options in this file or through system properties (see the Typesafe Config documentation for details). These are the available options and their default values as defined in Slick’s own reference.conf:Cookie Notice
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FUNCTIONAL RELATIONAL MAPPING FOR SCALAScala
Seamless data access for your Scala application — Write Scala code to query your database.Type Safe
All database entities and queries are statically checked atcompile-time.
Composable
Compose query operations just as if you were using Scala'scollections.
Slick is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred. You can write your database queries in Scala instead of SQL, thus profiting from the static checking, compile-time safety and compositionality of Scala. Slick features an extensible query compiler which can generate code for different backends.NEW TO SLICK?
Get started in minutes using the Hello Slick template in Lightbend Activator.
NEWS
Jan 30 2019
Slick 3.3.0
We have just released Slick 3.3.0 You can find the source code here: https://github.com/slick/slick/tree/v3.3.0. Builds for Scala 2.11 and 2.12 are available from Maven Central, as usual. These are the... moreMar 23 2018
Slick 3.2.3
We have just released Slick 3.2.3. You can find the source code here: https://github.com/slick/slick/tree/v3.2.3. Builds for Scala 2.11 and 2.12 are available from Maven Central, as usual. From 3.2.0 on,...more
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