Tag: Table

Feed: Recent Announcements. We are excited to announce that Amazon EMR 6.5.0 now includes Apache Iceberg version 0.12. Apache Iceberg is an open table format for large data sets in Amazon S3 and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. With the current release, you can use Apache Spark 3.1.2 on EMR clusters with the Iceberg table format. Apache Iceberg offers an open source table format for data stored in data lakes that helps data engineers manage complex challenges such as managing continuously evolving data sets while maintaining query performance. Iceberg allows ... Read More

Feed: Database Journal. Author: Gregory Larsen. Table Variables have been known to run slowly when the table variable contains lots of rows. This is because when a batch is compiled the table variable has yet to be populated with any rows, and therefore the optimizer uses an estimated row count of 1 for table variables. This occurs because table variables don’t have statistics. Having an estimated row count of 1 works well for operators that have small row counts, like a NESTED LOOP operator for a join operation. Operators that perform well for small numbers of rows do not always ... Read More

Feed: Planet PostgreSQL. In a previous post I stored tags and groups as arrays in the posts table. I created GIN indexes on them, but without the possibility to add the timestamp to it. To optimize queries on a list of tags, or groups, within a range of date, I added secondary tables, automatically maintained by triggers. This was much more efficient in YugabyteDB because this additional index is like an index (tables are stored as LSM Trees rather than heap tables) and because, without this, the Rows Removed by Filter from the GIN index are very expensive in a ... Read More

Feed: Planet MySQL; Author: Mirko Ortensi; In this post I will list a few options to migrate a table from MySQL to Redis logically. I will run examples using the classical world database. The world database can be downloaded here, so if you would like to try the examples, just import it in your MySQL instance. mysql> use world; Database changed mysql> show tables; +-----------------+ | Tables_in_world | +-----------------+ | city | | country | | countrylanguage | +-----------------+ 3 rows in set (0.01 sec) There are several ways to go ahead and import a table into Redis, let’s go ... Read More

Feed: R-bloggers. Author: Xianjun Dong. [This article was first published on One Tip Per Day, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.  Say you have a list with different lengths of vectors, e.g. > head(genesets_list)$KEGG_GLYCOLYSIS_GLUCONEOGENESIS [1] “ACSS2”   “GCK”     “PGK2”    “PGK1”    “PDHB”    “PDHA1”   “PDHA2”   “PGM2”    “TPI1”    “ACSS1”   “FBP1”    “ADH1B”   “HK2”     “ADH1C”   “HK1”     “HK3”     “ADH4”   ... Read More

Feed: AWS Big Data Blog. Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics services. Customers already use Amazon Kinesis Data Firehose to ingest raw data from various data sources using direct API call or by integrating Kinesis Data Firehose with Amazon Kinesis Data Streams including “change data capture” (CDC) use case. Customers typically use single Kinesis Data Stream per business domain to ingest CDC data. For example, related fact and dimension tables change data is sent to the same stream. Once the data is loaded to Amazon S3, ... Read More

Feed: Planet PostgreSQL. PostgreSQL table partitioning is by far one of the most popular new PostgreSQL features. Many people look to partitioned tables as a way to improve performance and broaden scalability. However, partitioning comes with a little problem: How can you partition an existing table without locking up the database? The answer is: pg_rewrite can help you with PostgreSQL table partitioning. Here you will learn how to implement pg_rewrite to help you solve partitioning problems in the most elegant way possible.Installing pg_rewritepg_rewrite is Open Source and can be quickly and easily downloaded from our Github profile. Cloning the repository ... Read More

Feed: R-bloggers. Author: R Consortium. [This article was first published on R Consortium, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. The R Consortium’s R Tables for Regulatory Submissions (RTRS) Working Group has made considerable progress in identifying and working through the issues involved with developing a modern R based framework for creating tables. The goal is to be able to make it easy for statistical programmers working in pharmaceutical companies to find ... Read More

Feed: Recent Announcements. Amazon DynamoDB announces the new Amazon DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA) table class, which helps you reduce your DynamoDB costs by up to 60 percent for tables that store infrequently accessed data. The DynamoDB Standard-IA table class is ideal for use cases that require long-term storage of data that is infrequently accessed, such as application logs, old social media posts, e-commerce order history, and past gaming achievements ... Read More

Feed: Recent Announcements. Using Lake Formation Data Filtering, administrators can now grant column-, row-, and cell-level permissions on their Amazon S3 data lake tables that are enforced when Athena users query this data. This means that users are granted access to tables containing sensitive data without requiring course-grained masking that impedes their analyses. Furthermore, with Lake Formation Governed Tables, Athena users can query data while multiple users simultaneously add and delete the table’s Amazon S3 data objects ... Read More