This is an automated email from the ASF dual-hosted git repository. jmalkin pushed a commit to branch cleanup in repository https://gitbox.apache.org/repos/asf/datasketches-spark.git
commit 1669753f822b3a8be99a710f42d10d21b81aebfa Author: Jon <[email protected]> AuthorDate: Mon Jan 6 15:04:54 2025 -0800 Fix typo --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6131f41..c0749a4 100644 --- a/README.md +++ b/README.md @@ -21,4 +21,5 @@ This repo is still an early-stage work in progress. -There have been multiple attempts to help integrate Apache DataSketches into Apache Spark, including one built into Spark itself as of v3.5. All are useful work, but in comparing them, there are various limitations to each library. Whether limitng the type of sketches available (e.g. native Spark provides only HLL) or limiting flexibility and functionality (e.g. forcing HLL and Theta to use a common interface which precludes set operations HLL cannot support, or using global parameters t [...] +There have been multiple attempts to help integrate Apache DataSketches into Apache Spark, including one built into Spark itself as of v3.5. All are useful work, but in comparing them, there are various limitations to each library. Whether limiting the type of sketches available +(e.g. native Spark provides only HLL) or limiting flexibility and functionality (e.g. forcing HLL and Theta to use a common interface which precludes set operations HLL cannot support, or using global parameters to control the sizes of all sketch instances in the query), the other libraries place undesirable constraints on developers looking to use sketches in their queries or data systems. This library aims to restore that choice to develoeprs. --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
