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Want to assert yourself as a cutting–edge PHP web developer? Take a practical approach, learning by example from author Quentin Zervaas, and discover how to bring together the many technologies needed to create a successful, modern web application. Our experiments show significant performance gains, improving the query execution time by orders of magnitude while minimally impacting ingestion performance. We have implemented and evaluated our techniques to measure their impact on storage, data ingestion, and query performance in Apache AsterixDB. We also highlight the potential of using query compilation techniques for document stores, where values' types are known only at runtime. We then introduce two columnar layouts for organizing and storing data in LSM-based storage. We first extend the Dremel format, a popular on-disk columnar format for semi-structured data, to comply with document stores' flexible data model. In this paper, we propose several techniques based on piggy-backing on Log-Structured Merge (LSM) tree events and tailored to document stores to store document data in a columnar layout. However, the flexibility of the document stores' data models has limited their ability to store data in a columnar-major layout - making them less performant for analytical workloads than column store relational databases. In the last decade, document store database systems have gained more traction for storing and querying large volumes of semi-structured data. With this, we want to remedy the above mentioned disadvantages and bring stored procedures to a larger developer audience. We show an effective development workflow for implementing stored procedures in JavaScript and how developers can leverage popular open-source packages.
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JavaScript is one of today's most popular programming languages with a vibrant open-source community providing a vast number of reusable software packages.
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In the talk, we also demonstrate how JavaScript can be used as stored procedure language in the Oracle Database and MySQL. We show how the speculative just-in-time compiler provided by GraalVM can be leveraged to perform such conversions with minimal effort. Otherwise, conversion of the data between the two type systems is required. SQL types) and the types of the stored procedure language match, this should happen without converting or copying the data. In order to embed GraalVM and use it for executing stored procedures, it needs to access data stored in the database efficiently.
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Additionally, GraalVM has been designed to run on a Java Virtual Machine (JVM) as well as being embeddable into systems such as the Oracle Database that are not running on a JVM. GraalVM allows for executing many modern programming languages such as JavaScript, R or Python with very high performance. GraalVM is a multilingual virtual machine that is being developed by Oracle Labs. Second, we show how the use of JavaScript as stored procedure language can remedy the above mentioned disadvantages. The contributions of this talk are twofold: First, we present the embedding of the multilingual GraalVM into the Oracle Database and the MySQL database to allow for executing stored procedures and user-defined functions. However, despite those benefits, the use of stored procedures is often considered harmful for a variety of reasons: (1) stored procedure languages are often vendor-specific, (2) developers for specialized stored procedure languages are hard to find, (3) stored procedures are stored in the database and often harder to keep track of within modern version control systems, and (4) tool support is often lacking behind that of other programming languages. Doing so helps avoid expensive network round trips and saves time and memory by having direct access to the data that is being processed. They are typically executed inside the address space of the database. Stored procedures provide a way to centralize business logic involving multiple SQL statements and running them inside a database management system.