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| author | Reynold Xin <rxin@apache.org> | 2014-12-06 00:35:47 +0000 |
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| committer | Reynold Xin <rxin@apache.org> | 2014-12-06 00:35:47 +0000 |
| commit | d09571a8e28b670a4924f4f73743464ec6f81f52 (patch) | |
| tree | 92fbe9b862d947ec0cbb969cfb33509da1bdfeaa /faq.md | |
| parent | 4f94994e96903a5f93408a9686ee97b2dba22d5e (diff) | |
| download | spark-website-d09571a8e28b670a4924f4f73743464ec6f81f52.tar.gz spark-website-d09571a8e28b670a4924f4f73743464ec6f81f52.tar.bz2 spark-website-d09571a8e28b670a4924f4f73743464ec6f81f52.zip | |
Updated cluster size
Diffstat (limited to 'faq.md')
| -rw-r--r-- | faq.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -21,7 +21,7 @@ Spark is a fast and general processing engine compatible with Hadoop data. It ca </p> <p class="question">How large a cluster can Spark scale to?</p> -<p class="answer">Many organizations run Spark on clusters with thousands of nodes.</p> +<p class="answer">Many organizations run Spark on clusters with thousands of nodes. The largest cluster we know has over 8000 nodes.</p> <p class="question">What happens if my dataset does not fit in memory?</p> <p class="answer">Often each partition of data is small and does fit in memory, and these partitions are processed a few at a time. For very large partitions that do not fit in memory, Spark's built-in operators perform external operations on datasets.</p> |