Same way, if we are making making an app in VC2008, he just needs to have Visual C++ 2008 runtime (available from MS site free, about 4-5Mb). So, basically, we just need runtime environment. but there isn't any SQL server 2008 runtime (or I am not aware of it?).
Also, one more thing, I see there is an SQL Server express edition, which I can supposedly use in deployment, but it seems kinda heavy knowing that if my software if just 5, 10 or 20Mb I need to install about a gig just so user can run it.
Lastly, if I am using SQL Server 2008 Developer Edition (which I am, or enterprise one not sure) and I installed SQL Server express on client, wouldn't it cause some problem if my software uses some features that are not supported in express edition? (say number of database, or concurrent connection, or anything).
So? What runtime is required for it? And if installing sql server express is the only option, what if I am using some features that are not supported in express edition? Surely, I can't go on doing a full install of developer edition on each client!
EDIT: In case this is of any help, my current project is a library management system, and it will be installed the client (the computer of the librarian for whom I am making this), so there is no case of server-client here. So should I install sql express on his computer? Also, as YvesR pointed out in his answer, that link only shows three editions (main ones), but -us/library/cc645993%28v=SQL.110%29.aspx shows more detailed comparison. So, in this particular scenario that I just described, would it be sufficient if I just deployed and express edition on client's machine?
Now, about what I said about some functions not being available in express edition, -us/library/cc645993(v=SQL.110).aspx#CrossBoxScaleshows that express edition is limited to a database of size 10Gb, now I know that is more than enough in the scenario I described above, but what if in some other case I need more than that? Than express edition won't do it, than how should I deploy?
Finally, -sql-server/how-to-buy.aspx shows two more edition, Compact and Developer, I know about developer but what is this compact edition? And more importantly, why are these not comared or listed here?
OK let's back up a bit. Do you have a requirement for each of your software clients to have it's own local database? If this is the case there are far simpler ways of storing data on the client (I would suggest serialization to file as one approach).
Desktop application that will be used by each clients separately without assigning a computer as server. You only need to install SSMS and the application for your Clients. The Update/Delete/Insert operations will be done separately.
Client-Server Approach, install SSMS and attach your DB on a computer. This computer will serve your clients as a server. Then install the exe file on any client computer, make sure the clients are connected to the server using the IP.
The SQL Client aims to provide an easy way of writing, debugging, and submitting table programs to a Flink cluster without a single line of Java or Scala code. The SQL Client CLI allows for retrieving and visualizing real-time results from the running distributed application on the command line.
The SQL Client is bundled in the regular Flink distribution and thus runnable out-of-the-box. It requires only a running Flink cluster where table programs can be executed. For more information about setting up a Flink cluster see the Cluster & Deployment part. If you simply want to try out the SQL Client, you can also start a local cluster with one worker using the following command:
The SQL Client scripts are also located in the binary directory of Flink. Users have two options for starting the SQL Client CLI, either by starting an embedded standalone process or by connecting to a remote SQL Gateway.SQL Client default mode is embedded.
After a query is defined, it can be submitted to the cluster as a long-running, detached Flink job.The configuration section explains how to declare table sources for reading data, how to declare table sinks for writing data, and how to configure other table program properties.
The tableau mode is more like a traditional way which will display the results in the screen directly with a tableau format.The displaying content will be influenced by the query execution type (execution.type).
Note that when you use this mode with streaming query, the result will be continuously printed on the console. If the input data ofthis query is bounded, the job will terminate after Flink processed all input data, and the printing will also be stopped automatically.Otherwise, if you want to terminate a running query, just type CTRL-C in this case, the job and the printing will be stopped.
All these result modes can be useful during the prototyping of SQL queries. In all these modes,results are stored in the Java heap memory of the SQL Client. In order to keep the CLI interface responsive,the changelog mode only shows the latest 1000 changes. The table mode allows for navigating throughbigger results that are only limited by the available main memory and the configuredmaximum number of rows (sql-client.execution.max-table-result.rows).
A SQL query needs a configuration environment in which it is executed. SQL Client supports the -istartup option to execute an initialization SQL file to setup environment when starting up the SQL Client.The so-called initialization SQL file can use DDLs to define available catalogs, table sources and sinks,user-defined functions, and other properties required for execution and deployment.
The SQL Client does not require setting up a Java project using Maven, Gradle, or sbt. Instead, youcan pass the dependencies as regular JAR files that get submitted to the cluster. You can either specifyeach JAR file separately (using --jar) or define entire library directories (using --library). Forconnectors to external systems (such as Apache Kafka) and corresponding data formats (such as JSON),Flink provides ready-to-use JAR bundles. These JAR files can be downloaded for each release fromthe Maven central repository.
SQL Client will print success message if the statement is executed successfully. When getting errors, SQL Client will also print error messages.By default, the error message only contains the error cause. In order to print the full exception stack for debugging, please set thesql-client.verbose to true through command SET 'sql-client.verbose' = 'true';.
SQL Client supports to execute a SQL script file with the -f option. SQL Client will executestatements one by one in the SQL script file and print execution messages for each executed statements.Once a statement fails, the SQL Client will exit and all the remaining statements will not be executed.
SQL Client execute each INSERT INTO statement as a single Flink job. However, this is sometimes notoptimal because some part of the pipeline can be reused. SQL Client supports STATEMENT SET syntax toexecute a set of SQL statements. This is an equivalent feature with StatementSet in Table API. TheSTATEMENT SET syntax encloses one or more INSERT INTO statements. All statements in a STATEMENT SETblock are holistically optimized and executed as a single Flink job. Joint optimization and executionallows for reusing common intermediate results and can therefore significantly improve the efficiencyof executing multiple queries.
By default, SQL Client executes DML statements asynchronously. That means, SQL Client will submit ajob for the DML statement to a Flink cluster, and not wait for the job to finish.So SQL Client can submit multiple jobs at the same time. This is useful for streaming jobs, which are long-running in general.
SQL Client can highlight SQL syntax with several color schemes.With sql-client.display.color-schema it could be set a color scheme.Available color schemes: chester, dracula, solarized, vs2010, obsidian, geshi, dark, light, default (no highlighting).In case of wrong name the fallback is to default.
In tech preview mode, early feedback is requested to mature the idea.There is no guarantee of stability in the platform until the solution matures.Feedback is welcome on our mailing list or as issues in our GitHub issue tracker.
Wondering why we must block until the latest query is completed?This code is part of a method that @Observes the StartupEvent and Quarkus invokes it synchronously.As a consequence, returning prematurely could lead to serving requests while the database is not ready yet.
Similar to the simple query method, preparedQuery returns an instance of PreparedQuery.Equipped with this tooling, we are able to safely use an id provided by the user to get the details of a particular fruit:
The reactive SQL clients support transactions.A transaction is started with io.vertx.mutiny.sqlclient.SqlConnection#begin and terminated with either io.vertx.mutiny.sqlclient.Transaction#commit or io.vertx.mutiny.sqlclient.Transaction#rollback.All these operations are asynchronous:
Managing transactions in the reactive programming world can be cumbersome.Instead of writing repetitive and complex (thus error-prone!) code, you can use the io.vertx.mutiny.sqlclient.Pool#withTransaction helper method.
When executing batch queries, reactive SQL clients return a RowSet that corresponds to the results of the first element in the batch.To get the results of the following batch elements, you must invoke the RowSet#next method until it returns null.
In addition to idle-timeout, reactive datasources can also be configured with a max-lifetime.It is the maximum time a connection remains in the pool before it is closed and replaced as needed.The max-lifetime allows ensuring the pool has fresh connections with up-to-date configuration.
The PostgreSQL and MariaDB/MySQL clients support pipelining of queries at the connection level.The feature consists in sending multiple queries on the same database connection without waiting for the corresponding responses.
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