ianmcook commented on code in PR #248:
URL: https://github.com/apache/arrow-site/pull/248#discussion_r1060100843
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_posts/2022-12-31-arrow-adbc.md:
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+---
+layout: post
+title: "Introducing ADBC: Database Access for Apache Arrow"
+date: "2022-12-31 00:00:00"
+author: pmc
+categories: [application]
+---
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+-->
+
+The Arrow community would like to introduce version 1.0.0 of the [Arrow
Database Connectivity (ADBC)][adbc] specification.
+ADBC is a columnar, minimal-overhead alternative to JDBC/ODBC for analytical
applications.
+Or in other words: **ADBC is a single API for getting Arrow data in and out of
different databases**.
+
+## Motivation
+
+Applications often use API standards like [JDBC][jdbc] and [ODBC][odbc] to
work with databases.
+That way, they can code to the same API regardless of the underlying database,
saving on development time.
+Roughly speaking, when an application executes a query with these APIs:
+
+<figure style="text-align: center;">
+ <img src="{{ site.baseurl }}/img/ADBCFlow1.svg" width="90%"
class="img-responsive" alt="A diagram showing the query execution flow.">
+ <figcaption>The query execution flow.</figcaption>
+</figure>
+
+1. The application submits a SQL query via the JDBC/ODBC API.
+2. The query is passed on to the driver.
+3. The driver translates the query to a database-specific protocol and sends
it to the database.
+4. The database executes the query and returns the result set in a
database-specific format.
+5. The driver translates the result format into the JDBC/ODBC API.
+6. The application iterates over the result rows using the JDBC/ODBC API.
+
+When columnar data comes into play, however, problems arise.
+JDBC is a row-oriented API, and while ODBC can support columnar data, the type
system and data representation is not a perfect match with Arrow.
+So generally, columnar data must be converted to rows between steps 5 and 6,
spending resources without performing "useful" work.
Review Comment:
```suggestion
So generally, columnar data must be converted to rows in step 5, spending
resources without performing "useful" work.
```
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