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The following commit(s) were added to refs/heads/master by this push:
new d7d3bdb1ab fixing pmc field in doap_Pinot.rdf (#11295)
d7d3bdb1ab is described below
commit d7d3bdb1abae539542191e24b5198dadf7442960
Author: Xiang Fu <[email protected]>
AuthorDate: Tue Aug 8 12:37:59 2023 -0700
fixing pmc field in doap_Pinot.rdf (#11295)
---
doap_Pinot.rdf | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/doap_Pinot.rdf b/doap_Pinot.rdf
index 9698fa5435..74da22dc29 100644
--- a/doap_Pinot.rdf
+++ b/doap_Pinot.rdf
@@ -26,7 +26,7 @@
<license rdf:resource="https://spdx.org/licenses/Apache-2.0"; />
<name>Apache Pinot</name>
<homepage rdf:resource="https://pinot.apache.org"; />
- <asfext:pmc
rdf:resource="https://projects.apache.org/committee.html?pinot"; />
+ <asfext:pmc rdf:resource="https://pinot.apache.org"; />
<shortdesc>Apache Pinot is a real-time distributed OLAP datastore
purpose-built for low-latency, high-throughput analytics.</shortdesc>
<description>Apache Pinot is a real-time distributed online analytical
processing (OLAP) datastore. Use Pinot to ingest and immediately query data
from streaming or batch data sources (including, Apache Kafka, Amazon Kinesis,
Hadoop HDFS, Amazon S3, Azure ADLS, and Google Cloud Storage).
Apache Pinot includes the following:
@@ -36,7 +36,7 @@ Scaling up and out with no upper bound.
Consistent performance based on the size of your cluster and an expected query
per second (QPS) threshold.
It's perfect for user-facing real-time analytics and other analytical use
cases, including internal dashboards, anomaly detection, and ad hoc data
exploration.</description>
<bug-database rdf:resource="https://github.com/apache/pinot/issues"; />
- <mailing-list
rdf:resource="https://docs.pinot.apache.org/community-1/community"; />
+ <mailing-list
rdf:resource="https://docs.pinot.apache.org/community-1/community"; />
<download-page rdf:resource="https://pinot.apache.org/download"; />
<programming-language>Java</programming-language>
<category rdf:resource="https://projects.apache.org/category/big-data"; />
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