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Posted to commits@drill.apache.org by dz...@apache.org on 2021/07/09 14:18:58 UTC

[drill-site] branch asf-site updated: Fix blog post typos.

This is an automated email from the ASF dual-hosted git repository.

dzamo pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/drill-site.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new d35f689  Fix blog post typos.
d35f689 is described below

commit d35f689d7637cb80b647fd5a808c21859d936c50
Author: James Turton <ja...@somecomputer.xyz>
AuthorDate: Fri Jul 9 16:18:45 2021 +0200

    Fix blog post typos.
---
 blog/2021/07/09/streaming-data-from-the-rest-api/index.html    | 4 ++--
 zh/blog/2021/07/09/streaming-data-from-the-rest-api/index.html | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/blog/2021/07/09/streaming-data-from-the-rest-api/index.html b/blog/2021/07/09/streaming-data-from-the-rest-api/index.html
index 04e3dcb..a6ffe63 100644
--- a/blog/2021/07/09/streaming-data-from-the-rest-api/index.html
+++ b/blog/2021/07/09/streaming-data-from-the-rest-api/index.html
@@ -153,9 +153,9 @@
   <div class="addthis_sharing_toolbox"></div>
 
   <article class="post-content">
-    <p>Anyone who’s used a UNIX pipe, or even just watched something on Netflix, is at least a little familiar with the idea of processing data in a streaming fashion.  While your data are in small volume compared to available memory and I/O speeds, streaming is something you can afford to dispense with.  But when you cannot fit an entire dataset in RAM, or when if you have to download an entire 4K movie before you can start playing it, then streaming data processing can make a game chan [...]
+    <p>Anyone who’s used a UNIX pipe, or even just watched something on Netflix, is at least a little familiar with the idea of processing data in a streaming fashion.  While your data are small in size compared to available memory and I/O speeds, streaming is something you can afford to dispense with.  But when you cannot fit an entire dataset in RAM, or when you have to download an entire 4K movie before you can start playing it, then streaming data processing can make a game changing  [...]
 
-<p>With the relase of version 1.19, Drill will stream JSON query result data over an HTTP response to the client that initiated the query using the REST API.  And if anything can easily get big compared to your available RAM or network speed, it’s query results coming back from Drill.  It’s important to note here that JSON over HTTP is never going to be the most <em>efficient</em> way to move big data around<sup id="fnref:1" role="doc-noteref"><a href="#fn:1" class="footnote">1</a></sup> [...]
+<p>With the release of version 1.19, Drill will stream JSON query result data over an HTTP response to the client that initiated the query using the REST API.  And if anything can easily get big compared to your available RAM or network speed, it’s query results coming back from Drill.  It’s important to note here that JSON over HTTP is never going to be the most <em>efficient</em> way to move big data around<sup id="fnref:1" role="doc-noteref"><a href="#fn:1" class="footnote">1</a></sup [...]
 
 <p>Where JSON and HTTP <em>do</em> win is universality: today it’s hard to imagine a client hardware and software stack that doesn’t provide JSON and HTTP out of the box with minimal effort.  So it’s important that they work as well as is possible, in spite of the alternatives that exist.  The new streaming query results delivery on the server side means that Drill’s heap memory isn’t pressurised by having to buffer entire result sets before it starts to transmit them over the network.   [...]
 
diff --git a/zh/blog/2021/07/09/streaming-data-from-the-rest-api/index.html b/zh/blog/2021/07/09/streaming-data-from-the-rest-api/index.html
index 209378d..c97d89f 100644
--- a/zh/blog/2021/07/09/streaming-data-from-the-rest-api/index.html
+++ b/zh/blog/2021/07/09/streaming-data-from-the-rest-api/index.html
@@ -153,9 +153,9 @@
   <div class="addthis_sharing_toolbox"></div>
 
   <article class="post-content">
-    <p>Anyone who’s used a UNIX pipe, or even just watched something on Netflix, is at least a little familiar with the idea of processing data in a streaming fashion.  While your data are in small volume compared to available memory and I/O speeds, streaming is something you can afford to dispense with.  But when you cannot fit an entire dataset in RAM, or when if you have to download an entire 4K movie before you can start playing it, then streaming data processing can make a game chan [...]
+    <p>Anyone who’s used a UNIX pipe, or even just watched something on Netflix, is at least a little familiar with the idea of processing data in a streaming fashion.  While your data are small in size compared to available memory and I/O speeds, streaming is something you can afford to dispense with.  But when you cannot fit an entire dataset in RAM, or when you have to download an entire 4K movie before you can start playing it, then streaming data processing can make a game changing  [...]
 
-<p>With the relase of version 1.19, Drill will stream JSON query result data over an HTTP response to the client that initiated the query using the REST API.  And if anything can easily get big compared to your available RAM or network speed, it’s query results coming back from Drill.  It’s important to note here that JSON over HTTP is never going to be the most <em>efficient</em> way to move big data around<sup id="fnref:1" role="doc-noteref"><a href="#fn:1" class="footnote">1</a></sup> [...]
+<p>With the release of version 1.19, Drill will stream JSON query result data over an HTTP response to the client that initiated the query using the REST API.  And if anything can easily get big compared to your available RAM or network speed, it’s query results coming back from Drill.  It’s important to note here that JSON over HTTP is never going to be the most <em>efficient</em> way to move big data around<sup id="fnref:1" role="doc-noteref"><a href="#fn:1" class="footnote">1</a></sup [...]
 
 <p>Where JSON and HTTP <em>do</em> win is universality: today it’s hard to imagine a client hardware and software stack that doesn’t provide JSON and HTTP out of the box with minimal effort.  So it’s important that they work as well as is possible, in spite of the alternatives that exist.  The new streaming query results delivery on the server side means that Drill’s heap memory isn’t pressurised by having to buffer entire result sets before it starts to transmit them over the network.   [...]