For the Tableau SDK and the Extract API 2.0, this was the only scenario that was available. You can also use variables in constructing statements. If you wonder why the schema is named that way, the answer is: because PostgreSQL also calls the default schema that way. Why do I need it? There is a class for doing so, called HyperProcess, which is very simple to use. If you are not, don’t fear: We have added auxiliary classes for the most common tasks, so you don’t need to know any SQL for them. Again, make sure to use a with statement for the result variable, because the result will block the connection as long as it is still open. LEGAL PRIVACY © 2003-document.write(new Date().getFullYear()) TABLEAU SOFTWARE LLC. In addition to supporting the features of the previous Extract API 2.0 for creating and updating extract files, the Hyper API provides access to new features: 1. You build SQL statements from the supported Hyper SQL commands and pass them as strings to the Hyper API methods for commands and queries. .hyper Files only store relational data, aka tables. Hyper itself will always be (way!) If you made any changes to a database and your program terminates abnormally before the connection closes, the database file may be corrupt and thus should be re-created. When finished, click OK. Add data from a data source You can also add new data to an extract from another data source that's already open in the workbook. Note that you need to pick the right platform even for platform independent languages, as the API includes Hyper itself and the API core, which are OS-dependent binaries. Hyper is clever when accessing data. Using the connection object, you can send SQL commands and queries. If you want to help us make Hyper better in the future, please enable this. To give 1000 loyalty points to customer DK-13375, we could use the following code: As you can see in this example, we not only escape the table name, but also the column names and the string literal. We will never send any of your data, so you don’t need to worry about privacy issues. So, I haven’t shown delete yet, but this is hard, because who likes to delete customers? Second, if a name is not quoted, it is implicitly lowercased, which can lead to surprising problems. Then, we can simply use the INSERT statement I’ve shown above to move data from one table to another. Quoted means that the name is written in double quotes. For example, you might want to copy a table from one database file to another or combine tables from two databases into a third one. help: -h or --help to see this help message; output file: --output to specify the output file .hyper or .tdsx.You know about .hyper already, .tdsx is one step above .hyper file as it could contain Data Model as well joining different tables inside the hyper file. Join me on this little journey through our new API. Let’s pretend we want to move all data from our Customers table to another table Customers2. There is an API documentation for each language (Python, Java, .NET, C++) and a documentation of Hyper’s SQL dialect. Note though, that this doesn’t mean that your whole data set has to fit into main memory. Note that the inserter can no longer be used after calling execute; create a new inserter if you want to insert more data afterwards. SQL Server is rated 8.2, while Tableau is rated 8.2. If you have Tableau 10.5 or later, you can use the Hyper format, which is created using the Tableau Data Extract API 2.0. To use SQL commands with the Hyper API, you first need a connection to the database (the .hyper file). The changes made to a Hyper database are only guaranteed to be in the file once the connection to that file is closed successfully. As the API interacts directly with Hyper, you can usually expect a well-written program using the API to outperform extract creation with Tableau (of course, you pay with less convenience, but if you have billions of rows to extract, performance can quickly become paramount). Here are the methods to answer the questions above: For example, the following code will print information about all columns in all tables in the public schema of a database: Querying the metadata can be useful when handling a database with unknown or not well defined contents or when writing a script that does bulk operations on a set of databases. HyPer is a main-memory-based relational DBMS for mixed OLTP and OLAP workloads. Now you can use this statement in other query tools without the need to recreate one and save time! "Tableau Hyper Database Engine has Stopped Working" Environment. To do this, just navigate to File → Install KNIME Extensionsand type "Tableau" in the search box that appears. We already know the class, it is the Catalog. Software as a Service. They don’t store information about the connection you used to get the data or your join tree in Tableau. Check the documentation to learn more about the options you can specify in the WITH clause. If that isn’t sufficient, feel free to post a question at our community forums or at stackoverflow. If you forget to close the inserter and try to use the connection for other purposes afterwards an exception will be raised. The following line will create the table: Now that we have created the table, we can use the Inserter class to get data into it: As you can see, the insertion is straightforward as well. You add an f in front of the query string and place expressions in braces { }that will be replaced with their values. Instead, databases expose non-standard system tables containing the information, but these are hard to query correctly. Hyper API is our library for working with local .hyper files (aka extracts) in all conceivable ways: You can create them, insert data into them, update, delete, or read that data. Hyper API Create custom scripts that interact with extract (.hyper) files. Data should stay in Hyper as long as possible, as shown multiple times in this post. Note how the HyperProcess and the Connection object are created using the with statement. The command method returns the count of affected rows. If the condition's result is true, the value of the CASE expression is the … The very basic set up is Azure Tenant. After having created an instance, you can connect to it using the Connection class. Get a good SSD and enough RAM. Manage importing any CSV file into Tableau-Hyper format (to be used with Tableau Desktop/Server) with minimal configuration (as column detection, content type detection and reinterpretation of content are part of the included logic) with additional script to publish to Tableau Sever as well - danielgp/tableau-hyper-management With the Amazon Athena connector, you can quickly and directly connect Tableau to their Amazon S3 data for fast discovery and analysis, with drag-and-drop ease. For information about all the SQL commands and queries you can use with Hyper files, see Hyper SQL Reference. The following data types are available: Now that we have defined the table, we can tell Hyper to create it. Thus, we have to add two prefixes to the table: The schema name and the database name. First, we have to define the schema of the table we want to create using the TableDefinition class: The definition is straightforward: we just need to specify the name of the table and its columns. There is actually currently no way to do this directly, e.g., to insert new columns or change the data type of a column. All languages share a common architecture which can be summed up as follows: The API methods are exposed in a library in the respective language (“Hyper API front end”) but this library is just a thin wrapper around a shared library (“Hyper API back end”). For example, when scanning a table, Hyper will only load the parts of the table that it is currently scanning into main memory, so you can indeed read a 1TB table efficiently on a machine with much less RAM. Of course, you could do that by reading the data and using an inserter to get it into another database, but as mentioned above, you should avoid these client-server round trips if possible; and it is possible indeed. The functions geo_auto_vertex_order and geo_invert_vertex_order can be used to … To escape a column name (or rather any name that is not prefixed) we can use the Name class. Be sure to assign the return value to a variable when you call the method. In the example, there are two schemas: schema X containing two tables A and B and schema Y containing one table C. Databases can have an unlimited amount of schemas, and each schema can have an unlimited amount of tables. None if not. We create an Inserter object stating the table we want to insert into and then call add_rowrepeatedly for each row we want to insert. Note that we have used a formatted string literal to insert the name of the table in these examples. Such an example would go beyond the scope of this blog post, but I think you get the idea. To escape a string literal, we use the function escape_string_literal. However, I mentioned in the beginning that more than one database can be attached to a connection. Therefore, I will just use the term database or database file here; keep in mind, it is equivalent to the terms “ .hyper file” and “extract”. It contains a single schema Extract with a table that is also named Extract in it. Once we enable multi-threading, you might get 126 MB/sec/core, so you might be able to read CSVs with gigabytes per second; given that you have a very fast SSD to scrape the data from it, of course. For HyperProcess, the disposal will trigger the shutdown of the Hyper process. Now if you query student_view on the Athena console with a select * SQL statement, you can see the following output. Engineering, Research, and Culture from the Tableau Development Team. Tableau makes it possible to share the results generated in Tableau desktop over Tableau Online or Tableau Server. Because you are reading from an existing .hyper file, you don’t need to specify the CreateMode (the default value is CreateMode.NONE). Any table that is not explicitly prefixed with a schema is treated to be in the “public” schema. Build something great harnessing the power of Hyper. Each condition is an expression that returns a boolean result. In the figure, the red connection is attached to two databases, while the blue one is attached to just one. The Hyper API contains a set of functions you can use to automate your interactions with Tableau extract (.hyper) files. The middle database in the figure shows the structure of a single table extract created with Tableau. Under the hood, Hyper is the technology that now powers Tableau’s data engine. Hyper SQL provides a set of common useful commands to create, select, alter, insert, update, and delete data from the Hyper file. Navigate to one of the sheets in the workbook by clicking its tab. Versions 10.4 and earlier use the older TDE format, which is creat… You can have multiple connections to Hyper at the same time, and each connection can be attached to an arbitrary number of databases. So, you might think that the following SQL successfully queries the table: However, this query will fail. Write the custom query that you want to execute in the dialogue box. That adds the extra attributes to your Excel data that are needed to make Excel function like a database. Thus, the table Customers in the "public" schema in the “customer.hyper” database would be addressed as TableName('customer','public','Customers'). Now it’s your turn! Hyper SQL provides a set of common useful commands to create, select, alter, insert, update, and delete data from the Hyper file. Tableau Desktop & Tableau Reader 2018.1.1; Windows 7; MS SQL Server; Resolution Upgrade to Tableau Desktop and Tableau Reader 2018.1.2 or later. The solution is simple: Now that you know how to alter the data in a table, let’s briefly cover how to alter its schema. Now move over to your worksheet and start exploring with Tableau. How is the Context Filter different from other Filters?