Akka Persistence journal and snapshot store backed by SQL Server database.
Both journal and snapshot store share the same configuration keys (however they resides in separate scopes, so they are definied distinctly for either journal or snapshot store):
Remember that connection string must be provided separately to Journal and Snapshot Store.
Please also note that unless circuit breaker settings are configured, the defaults from Akka.Persistence will be used. If these defaults are less than the Database connection timeout (default or provided in connection string) and provided command timeout, Warnings will be logged upon initialization of the Journal or Snapshot Store.
akka.persistence{
journal {
plugin = "akka.persistence.journal.sql-server"
sql-server {
# qualified type name of the SQL Server persistence journal actor
class = "Akka.Persistence.SqlServer.Journal.SqlServerJournal, Akka.Persistence.SqlServer"
# dispatcher used to drive journal actor
plugin-dispatcher = "akka.actor.default-dispatcher"
# connection string used for database access
connection-string = ""
# default SQL commands timeout
connection-timeout = 30s
# SQL server schema name to table corresponding with persistent journal
schema-name = dbo
# SQL server table corresponding with persistent journal
table-name = EventJournal
# should corresponding journal table be initialized automatically
auto-initialize = off
# timestamp provider used for generation of journal entries timestamps
timestamp-provider = "Akka.Persistence.Sql.Common.Journal.DefaultTimestampProvider, Akka.Persistence.Sql.Common"
# metadata table
metadata-table-name = Metadata
# Recommended: change default circuit breaker settings
# By uncommenting below and using Connection Timeout + Command Timeout
# circuit-breaker.call-timeout=30s
}
}
snapshot-store {
plugin = "akka.persistence.snapshot-store.sql-server"
sql-server {
# qualified type name of the SQL Server persistence journal actor
class = "Akka.Persistence.SqlServer.Snapshot.SqlServerSnapshotStore, Akka.Persistence.SqlServer"
# dispatcher used to drive journal actor
plugin-dispatcher = ""akka.actor.default-dispatcher""
# connection string used for database access
connection-string = ""
# default SQL commands timeout
connection-timeout = 30s
# SQL server schema name to table corresponding with persistent journal
schema-name = dbo
# SQL server table corresponding with persistent journal
table-name = SnapshotStore
# should corresponding journal table be initialized automatically
auto-initialize = off
# Recommended: change default circuit breaker settings
# By uncommenting below and using Connection Timeout + Command Timeout
# circuit-breaker.call-timeout=30s
}
}
}Since version 1.1.3 an alternative, experimental type of the journal has been released, known as batching journal. It's optimized for concurrent writes made by multiple persistent actors, thanks to the ability of batching multiple SQL operations to be executed within the same database connection. In some of those situations we've noticed over an order of magnitude in event write speed.
To use batching journal, simply change akka.persistence.journal.sql-server.class to
Akka.Persistence.SqlServer.Journal.BatchingSqlServerJournal, Akka.Persistence.SqlServer.
Additionally to the existing settings, batching journal introduces few more:
isolation-levelto define isolation level for transactions used withing event reads/writes. Possible options: unspecified (default), chaos, read-committed, read-uncommitted, repeatable-read, serializable or snapshot.max-concurrent-operationsis used to limit the maximum number of database connections used by this journal. You can use them in situations when you want to partition the same ADO.NET pool between multiple components. Current default: 64.max-batch-sizedefines the maximum number of SQL operations, that are allowed to be executed using the same connection. When there are more operations, they will chunked into subsequent connections. Current default: 100.max-buffer-sizedefines maximum buffer capacity for the requests send to a journal. Once buffer gets overflown, a journal will callOnBufferOverflowmethod. By default it will reject all incoming requests until the buffer space gets freed. You can inherit fromBatchingSqlServerJournaland override that method to provide a custom backpressure strategy. Current default: 500 000.
SQL Server persistence plugin defines a default table schema used for journal, snapshot store and metadata table.
CREATE TABLE {your_journal_table_name} (
Ordering BIGINT IDENTITY(1,1) NOT NULL,
PersistenceID NVARCHAR(255) NOT NULL,
SequenceNr BIGINT NOT NULL,
Timestamp BIGINT NOT NULL,
IsDeleted BIT NOT NULL,
Manifest NVARCHAR(500) NOT NULL,
Payload VARBINARY(MAX) NOT NULL,
Tags NVARCHAR(100) NULL,
SerializerId INTEGER NULL
CONSTRAINT PK_{your_journal_table_name} PRIMARY KEY (Ordering),
CONSTRAINT QU_{your_journal_table_name} UNIQUE (PersistenceID, SequenceNr)
);
CREATE TABLE {your_snapshot_table_name} (
PersistenceID NVARCHAR(255) NOT NULL,
SequenceNr BIGINT NOT NULL,
Timestamp DATETIME2 NOT NULL,
Manifest NVARCHAR(500) NOT NULL,
Snapshot VARBINARY(MAX) NOT NULL,
SerializerId INTEGER NULL
CONSTRAINT PK_{your_snapshot_table_name} PRIMARY KEY (PersistenceID, SequenceNr)
);
CREATE TABLE {your_metadata_table_name} (
PersistenceID NVARCHAR(255) NOT NULL,
SequenceNr BIGINT NOT NULL,
CONSTRAINT PK_{your_metadata_table_name} PRIMARY KEY (PersistenceID, SequenceNr)
);Underneath Akka.Persistence.SqlServer uses a raw ADO.NET commands. You may choose not to use a dedicated built in ones,
but to create your own being better fit for your use case. To do so, you have to create your own versions
of IJournalQueryBuilder and IJournalQueryMapper (for custom journals) or ISnapshotQueryBuilder
and ISnapshotQueryMapper (for custom snapshot store) and then attach inside journal, just like in the example below:
class MyCustomSqlServerJournal: Akka.Persistence.SqlServer.Journal.SqlServerJournal
{
public MyCustomSqlServerJournal() : base()
{
QueryBuilder = new MyCustomJournalQueryBuilder();
QueryMapper = new MyCustomJournalQueryMapper();
}
}ALTER TABLE {your_journal_table_name} ADD COLUMN SerializerId INTEGER NULL
ALTER TABLE {your_snapshot_table_name} ADD COLUMN SerializerId INTEGER NULLALTER TABLE {your_journal_table_name} DROP CONSTRAINT PK_{your_journal_table_name};
ALTER TABLE {your_journal_table_name} ADD Ordering BIGINT IDENTITY(1,1) PRIMARY KEY NOT NULL;
ALTER TABLE {your_journal_table_name} ADD Ordering BIGINT IDENTITY(1,1) NOT NULL;
ALTER TABLE {your_journal_table_name} ADD CONSTRAINT PK_EventJournal PRIMARY KEY (Ordering);
ALTER TABLE {your_journal_table_name} ADD CONSTRAINT QU_{your_journal_table_name} UNIQUE (PersistenceID, SequenceNr);-- helper function to convert between DATETIME2 and BIGINT as .NET ticks
-- taken from: http://stackoverflow.com/questions/7386634/convert-sql-server-datetime-object-to-bigint-net-ticks
CREATE FUNCTION [dbo].[Ticks] (@dt DATETIME)
RETURNS BIGINT
WITH SCHEMABINDING
AS
BEGIN
DECLARE @year INT = DATEPART(yyyy, @dt)
DECLARE @month INT = DATEPART(mm, @dt)
DECLARE @day INT = DATEPART(dd, @dt)
DECLARE @hour INT = DATEPART(hh, @dt)
DECLARE @min INT = DATEPART(mi, @dt)
DECLARE @sec INT = DATEPART(ss, @dt)
DECLARE @days INT =
CASE @month - 1
WHEN 0 THEN 0
WHEN 1 THEN 31
WHEN 2 THEN 59
WHEN 3 THEN 90
WHEN 4 THEN 120
WHEN 5 THEN 151
WHEN 6 THEN 181
WHEN 7 THEN 212
WHEN 8 THEN 243
WHEN 9 THEN 273
WHEN 10 THEN 304
WHEN 11 THEN 334
WHEN 12 THEN 365
END
IF @year % 4 = 0 AND (@year % 100 != 0 OR (@year % 100 = 0 AND @year % 400 = 0)) AND @month > 2 BEGIN
SET @days = @days + 1
END
RETURN CONVERT(bigint,
((((((((@year - 1) * 365) + ((@year - 1) / 4)) - ((@year - 1) / 100)) + ((@year - 1) / 400)) + @days) + @day) - 1) * 864000000000) +
((((@hour * 3600) + CONVERT(bigint, @min) * 60) + CONVERT(bigint, @sec)) * 10000000) + (CONVERT(bigint, DATEPART(ms, @dt)) * CONVERT(bigint,10000));
END;
ALTER TABLE {your_journal_table_name} ADD Timestamp_tmp BIGINT NULL;
UPDATE {your_journal_table_name} SET Timestamp_tmp = dbo.Ticks(Timestamp);
DROP INDEX [IX_EventJournal_Timestamp] ON {your_journal_table_name};
ALTER TABLE {your_journal_table_name} DROP COLUMN Timestamp;
ALTER TABLE {your_journal_table_name} ALTER COLUMN Timestamp_tmp BIGINT NOT NULL;
EXEC sp_RENAME '{your_journal_table_name}.Timestamp_tmp' , 'Timestamp', 'COLUMN';
CREATE NONCLUSTERED INDEX [IX_EventJournal_Timestamp] ON {your_journal_table_name}([Timestamp] ASC);
ALTER TABLE {your_journal_table_name} ADD Tags NVARCHAR(100) NULL;CREATE TABLE {your_metadata_table_name} (
PersistenceID NVARCHAR(255) NOT NULL,
SequenceNr BIGINT NOT NULL,
CONSTRAINT PK_Metadata PRIMARY KEY (PersistenceID, SequenceNr)
);
INSERT INTO {your_metadata_table_name} (PersistenceID, SequenceNr)
SELECT PersistenceID, MAX(SequenceNr) as SequenceNr FROM {your_journal_table_name} GROUP BY PersistenceID;
ALTER TABLE {your_journal_table_name} ALTER COLUMN PersistenceID NVARCHAR(255) [NOT NULL];ALTER TABLE dbo.EventJournal ADD Timestamp DATETIME2 NOT NULL DEFAULT GETDATE();
ALTER TABLE dbo.EventJournal DROP CONSTRAINT PK_EventJournal;
ALTER TABLE dbo.EventJournal DROP COLUMN CS_PID;
ALTER TABLE dbo.EventJournal ADD CONSTRAINT PK_EventJournal PRIMARY KEY (PersistenceID, SequenceNr);
sp_RENAME 'EventJournal.PayloadType', 'Manifest', 'COLUMN';
sp_RENAME 'SnapshotStore.PayloadType', 'Manifest', 'COLUMN';The SqlServer tests are packaged and run as part of the default "All" build task.
In order to run the tests, you must do the following things:
- Download and install SQL Server Express 2014 from: http://www.microsoft.com/en-us/server-cloud/Products/sql-server-editions/sql-server-express.aspx
- Install SQL Server Express with the default settings.
- Create a new user called
akkadotnetwith the passwordakkadotnetand give them rights to create new databases on the server. - The default connection string uses the following
credentials:
Data Source=localhost\SQLEXPRESS;Database=akka_persistence_tests;User Id=akkadotnet; Password=akkadotnet; - A custom app.config file can be used and needs to be placed in the same folder as the dll
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