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Work Automation Index 2022: organization-wide automation is becoming prevalent

Feed: Workato. Author: Jon Gitlin; As a company that powers an enterprise automation platform, we have access to a wealth of insightful data. We can identify the applications organizations use when implementing integrations and automations; we can pinpoint the specific processes that organizations automate; and we can determine the job titles of those who are building automations. Taken together, this data helps us better understand not only how organizations automate today but also how they’re likely to do so tomorrow. For the second year in a row, we’ve set out to share these insights with the world through our Work ... Read More
Egor Rogov: Queries in PostgreSQL: 4. Index scan
Feed: Planet PostgreSQL. In previous articles we discussed query execution stages and statistics. Last time, I started on data access methods, namely Sequential scan. Today we will cover Index Scan. This article requires a basic understanding of the index method interface. If words like "operator class" and "access method properties" don't ring a bell, check out my article on indexes from a while back for a refresher.Indexes return row version IDs (tuple IDs, or TIDs for short), which can be handled in one of two ways. The first one is Index scan. Most (but not all) index methods have the ... Read More
Zero Impact on Index Creation with Amazon Aurora 3

Feed: Planet MySQL; Author: Marco Tusa; In the last quarter of 2021, AWS released Aurora version 3. This new version aligns Aurora with the latest MySQL 8 version, porting many of the advantages MySQL 8 has over previous versions. While this brings a lot of new interesting features for Aurora, what we are going to cover here is to see how DDLs behave when using the ONLINE option. With a quick comparison with what happens in MySQL 8 standard and with Group Replication. Tests All tests were run on an Aurora instance r6g.large with a secondary availability zone. The test ... Read More
Hamid Akhtar: PostgreSQL 14 B-Tree Index: Reduced Bloat with Bottom-Up Deletion
Feed: Planet PostgreSQL. Concurrent access to data within PostgreSQL is managed with the Multiversion Concurrency Control (MVCC) model. Data snapshots are maintained for each SQL statement so that they always get consistent data, even if other transactions are modifying it concurrently. This leads to managing multiple versions of the same row when the row has been modified by one or more transactions. From a user perspective, there might only be a single row of data, but internally PostgreSQL may be maintaining one or more versions of that row. Whether a row version is visible to a transaction is maintained with ... Read More
Zero impact on index creation with Aurora 3

Feed: Planet MySQL; Author: Marco Tusa; Last quarter of 2021 AWS released Aurora version 3. This new version aligns Aurora with the latest MySQL 8 version porting many of the advantages MySQL 8 has over previous versions.
While this brings a lot of new interesting features for Aurora, what we are going to cover here is to see how DDLs behave when using the ONLINE option. With a quick comparison with what happens in MySQL 8 standard and with Group Replication.
Tests
All tests were run on an Aurora instance r6g.large with secondary availability zone.The test was composed by:
... Read More
Lukas Fittl: How Postgres Chooses Which Index To Use For A Query
Feed: Planet PostgreSQL. Using Postgres sometimes feels like magic. But sometimes the magic is too much, such as when you are trying to understand the reason behind a seemingly bad Postgres query plan. I've often times found myself in a situation where I asked myself: "Postgres, what are you thinking?". Staring at an EXPLAIN plan, seeing a Sequential Scan, and being puzzled as to why Postgres isn't doing what I am expecting. This has lead me down the path of reading the Postgres source, in search for answers. Why is Postgres choosing a particular index over another one, or not ... Read More
Select Columns by Index Using dplyr
Feed: R-bloggers. Author: finnstats. [This article was first published on Data Analysis in R » Quick Guide for Statistics & R » finnstats, 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. ShareTweet The post Select Columns by Index Using dplyr appeared first on finnstats. If you want to read the original article, click here Select Columns by Index Using dplyr. Are you looking for the latest Data Science Job Vacancies / Internship then ... Read More
Tracking gender equality with data: the 2022 SDG Gender Index
Feed: What's New. Author: Ashley Monson. For a girl who is 10 years old today, how old will she be when her country achieves the Gender Equality targets in the UN’s 2030 Sustainable Development Goals (SDG)? With 2030 just eight years away, the easy answer is 18 years old. But as Equal Measures 2030 (EM2030)’s 2022 SDG Gender Index shows, depending on the issue and the country she’s from, she could be anywhere between 20 and 70 before her country achieves gender equality—if it happens at all in her lifetime. Measuring progress Data is essential to the SDG movement. Measuring ... Read More
Rows Examined not Trustworthy because of Index Condition Pushdown
Feed: Planet MySQL; Author: Jean-François Gagné; When Index Condition Pushdown is used, you cannot trust rows examined as reported by the slow query log (nor in some Performance Schema tables) and you cannot trust the global status Innodb_rows_read (nor the InnoDB Metrics dml_reads). These can lead to an incorrect query complexity analysis, to a mistaken estimation of the total load of a MySQL server, and to a lot of wasted time. As we go through the details in this post, we will understand why a SELECT * is sometimes faster than only selecting the columns from an index (we would normally expect ... Read More
Franck Pachot: PostgreSQL Bitmap Scan with GIN indexes on Array or Secondary Table with Index Only Scan
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
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