(doris-website) branch master updated: [blog] Fix website failure building and pics center errors (#378)

Thu, 28 Dec 2023 02:24:19 -0800 

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in repository https://gitbox.apache.org/repos/asf/doris-website.git


The following commit(s) were added to refs/heads/master by this push:
     new 49003e11633 [blog] Fix website failure building and pics center errors 
(#378)
49003e11633 is described below

commit 49003e1163320637cfad4d1a34b045e65e2dadc0
Author: KassieZ <[email protected]>
AuthorDate: Thu Dec 28 18:24:04 2023 +0800

    [blog] Fix website failure building and pics center errors (#378)
---
 ...p-data-reporting-tagging-and-data-lake-analytics.md |  14 +++++++-------
 src/constant/newsletter.data.ts                        |   2 +-
 ...s-speeds-up-data-reporting-data-lake-analytics.jpeg | Bin 0 -> 141039 bytes
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git 
a/blog/apache-doris-speeds-up-data-reporting-tagging-and-data-lake-analytics.md 
b/blog/apache-doris-speeds-up-data-reporting-tagging-and-data-lake-analytics.md
index a42db11e884..916c0c88505 100644
--- 
a/blog/apache-doris-speeds-up-data-reporting-tagging-and-data-lake-analytics.md
+++ 
b/blog/apache-doris-speeds-up-data-reporting-tagging-and-data-lake-analytics.md
@@ -7,7 +7,7 @@
     'tags': ['Best Practice'],
     'picked': "true",
     'order': "1",
-    "image": 
'https://cdn.selectdb.com/static/apache_doris_speeds_up_data_reporting_tagging_and_data_lake_analytics_87a6746df5.png'
+    "image": 
'/static/images/apache-doris-speeds-up-data-reporting-data-lake-analytics.jpeg'
 }
 
 ---
@@ -43,19 +43,19 @@ Before migrating to Apache Doris, they used ClickHouse, 
MySQL, and Elasticsearch
 
 Data reporting is one of the major services they provide to their customers 
and they are bound by an SLA. They used to support such service with a 
combination of ClickHouse and MySQL, but they found significant fluctuations in 
their data synchronization duration, making it hard for them to meet the 
service levels outlined in their SLA. Diagnosis showed that it was because the 
multiple components add to the complexity and instability of data 
synchronization tasks. To fix that, they have u [...]
 
-<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/from_clickhouse_mysql_to_apache_doris_6387c0363a.png";
 alt="from-clickhouse-mysql-to-apache-doris" width="840"/></div >
+<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/from_clickhouse_mysql_to_apache_doris_6387c0363a.png";
 alt="from-clickhouse-mysql-to-apache-doris" width="840" style={{display: 
'inline-block'}} /></div >
 
 ### Performance improvements
 
 With Apache Doris, they ingest data via the [Broker 
Load](https://doris.apache.org/docs/1.2/data-operate/import/import-way/broker-load-manual)
 method and reach an SLA compliance rate of over 99% in terms of data 
synchronization performance.
 
-<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/data_synchronization_size_and_duration_327e4dc1fe.png";
 alt="data-synchronization-size-and-duration" width="640"/></div >
+<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/data_synchronization_size_and_duration_327e4dc1fe.png";
 alt="data-synchronization-size-and-duration" width="640" style={{display: 
'inline-block'}} /></div >
 
 As for data queries, the Doris-based architecture maintains an **average query 
response time** of less than **10s** and a **P90 response time** of less than 
**30s**. This is a 50% speedup compared to the old architecture. 
 
-<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/average_query_response_time_372d71ef16.png";
 alt="average-query-response-time" width="840"/></div >
+<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/average_query_response_time_372d71ef16.png";
 alt="average-query-response-time" width="840" style={{display: 
'inline-block'}} /></div >
 
-<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/query_response_time_percentile_756c6f6a71.png";
 alt="query-response-time-percentile" width="840"/></div >
+<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/query_response_time_percentile_756c6f6a71.png";
 alt="query-response-time-percentile" width="840" style={{display: 
'inline-block'}} /></div >
 
 ## Tagging
 
@@ -66,7 +66,7 @@ In the old processing architecture where Elasticsearch was 
the processing engine
 - Any problematic data in any of the tags could spoil the entire merging 
operation and thus interrupt the data services.
 - The merging operation was implemented based on Spark and MapReduce and took 
up to 4 hours. Such a long time frame could encroach on marketing opportunities 
and lead to unseen losses.
 
-<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/tagging_services_3263e21c36.png"; 
alt="tagging-services" width="840"/></div >
+<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/tagging_services_3263e21c36.png"; 
alt="tagging-services" width="840" style={{display: 'inline-block'}} /></div >
 
 Then Apache Doris takes this over. Apache Doris arranges tag data with its 
data models, which process data fast and smoothly. The aforementioned merging 
step can be done by the [Aggregate Key 
model](https://doris.apache.org/docs/data-table/data-model#aggregate-model), 
which aggregates tag data based on the specified Aggregate Key upon data 
ingestion. The [Unique Key 
model](https://doris.apache.org/docs/data-table/data-model#unique-model) is 
handy for partial column updates. Again, all yo [...]
 
@@ -86,7 +86,7 @@ The user introduces Compute Nodes into their cluster and 
deploys them with other
 
 For easier deployment, they have also optimized their Deploy on Yarn process 
via Skein. As is shown below, they define the number of Compute nodes and the 
required resources in the YAML file, and then pack the installation file, 
configuration file, and startup script into the distributed file system. In 
this way, they can start or stop the entire cluster of over 100 nodes within 
minutes using one simple line of code.
 
-<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/skein_3516ba1a83.png"; alt="skein" 
width="560"/></div >
+<div style={{textAlign:'center'}}><img 
src="https://cdn.selectdb.com/static/skein_3516ba1a83.png"; alt="skein" 
width="560" style={{display: 'inline-block'}} /></div >
 
 ## Conclusion
 
diff --git a/src/constant/newsletter.data.ts b/src/constant/newsletter.data.ts
index 39c8b35a55c..2ac92e0315c 100644
--- a/src/constant/newsletter.data.ts
+++ b/src/constant/newsletter.data.ts
@@ -4,7 +4,7 @@ export const NEWSLETTER_DATA = [
         title: 'Apache Doris speeds up data reporting, tagging, and data lake 
analytics',
         content: `The user leverages the capabilities of Apache Doris in 
reporting, customer tagging, and data lake analytics and achieves high 
performance.`,
         to: 
'/blog/apache-doris-speeds-up-data-reporting-tagging-and-data-lake-analytics',
-        image: 
'https://cdn.selectdb.com/static/apache_doris_speeds_up_data_reporting_tagging_and_data_lake_analytics_87a6746df5.png',
+        image: 
'/static/images/apache-doris-speeds-up-data-reporting-data-lake-analytics.jpeg',
     },
     {
         tags: ['Top News'],
diff --git 
a/static/images/apache-doris-speeds-up-data-reporting-data-lake-analytics.jpeg 
b/static/images/apache-doris-speeds-up-data-reporting-data-lake-analytics.jpeg
new file mode 100644
index 00000000000..18bf536e55f
Binary files /dev/null and 
b/static/images/apache-doris-speeds-up-data-reporting-data-lake-analytics.jpeg 
differ


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