From 5211b3155a72d83cc78b42556e5028ace5e84793 Mon Sep 17 00:00:00 2001 From: Jia Yu Date: Sat, 27 Apr 2024 22:53:53 -0700 Subject: [PATCH] Revert "[DOCS] Enable markdownlint rule `MD032` (#1353)" This reverts commit 631794b4445ffc06faf078edb9ff73f293ca8970. --- .github/linters/.markdown-lint.yml | 3 +++ docs/api/flink/Function.md | 1 - docs/api/snowflake/vector-data/Function.md | 1 - docs/api/sql/Function.md | 1 - docs/community/contributor.md | 1 - docs/community/publication.md | 3 --- docs/community/release-manager.md | 1 - docs/setup/databricks.md | 1 - 8 files changed, 3 insertions(+), 9 deletions(-) diff --git a/.github/linters/.markdown-lint.yml b/.github/linters/.markdown-lint.yml index b25b618e84..a6a1f57f69 100644 --- a/.github/linters/.markdown-lint.yml +++ b/.github/linters/.markdown-lint.yml @@ -21,6 +21,9 @@ MD026: false # ol-prefix - Ordered list item prefix MD029: false +# blanks-around-lists - Lists should be surrounded by blank lines +MD032: false + # no-inline-html - Inline HTML MD033: false diff --git a/docs/api/flink/Function.md b/docs/api/flink/Function.md index 220b437458..e5e3287ae1 100644 --- a/docs/api/flink/Function.md +++ b/docs/api/flink/Function.md @@ -701,7 +701,6 @@ Result: Introduction: Returns a homogeneous multi-geometry from a given geometry collection. The type numbers are: - 1. POINT 2. LINESTRING 3. POLYGON diff --git a/docs/api/snowflake/vector-data/Function.md b/docs/api/snowflake/vector-data/Function.md index dea2febff9..846a44acb2 100644 --- a/docs/api/snowflake/vector-data/Function.md +++ b/docs/api/snowflake/vector-data/Function.md @@ -488,7 +488,6 @@ GEOMETRYCOLLECTION (POINT (40 10), LINESTRING (0 5, 0 10)) Introduction: Returns a homogeneous multi-geometry from a given geometry collection. The type numbers are: - 1. POINT 2. LINESTRING 3. POLYGON diff --git a/docs/api/sql/Function.md b/docs/api/sql/Function.md index de93ca43b4..82bc3be8b7 100644 --- a/docs/api/sql/Function.md +++ b/docs/api/sql/Function.md @@ -705,7 +705,6 @@ Result: Introduction: Returns a homogeneous multi-geometry from a given geometry collection. The type numbers are: - 1. POINT 2. LINESTRING 3. POLYGON diff --git a/docs/community/contributor.md b/docs/community/contributor.md index 4eb2583a78..19ad20af45 100644 --- a/docs/community/contributor.md +++ b/docs/community/contributor.md @@ -52,7 +52,6 @@ Current Sedona Committers are as follows: ## Nominate a committer or PMC member Steps are as follows: - 1. Call a vote (templates/committerVote.txt) 2. Close the vote. If the result is positive, invite the new committer. diff --git a/docs/community/publication.md b/docs/community/publication.md index 02ee04c7ab..6cb7cef0b5 100644 --- a/docs/community/publication.md +++ b/docs/community/publication.md @@ -16,11 +16,8 @@ GeoSpark Perspective and Beyond"** is the full research paper that talks about t GeoSpark were evaluated by papers published on database top venues. It is worth noting that we do not have any collaboration with the authors. * SIGMOD 2020 paper ["Architecting a Query Compiler for Spatial Workloads"](https://dl.acm.org/doi/abs/10.1145/3318464.3389701) Ruby Y. Tahboub, Tiark Rompf (Purdue University). - > In Figure 16a, GeoSpark distance join query runs around 7x - 9x faster than Simba, a spatial extension on Spark, on 1 - 24 core machines. - * PVLDB 2018 paper ["How Good Are Modern Spatial Analytics Systems?"](http://www.vldb.org/pvldb/vol11/p1661-pandey.pdf) Varun Pandey, Andreas Kipf, Thomas Neumann, Alfons Kemper (Technical University of Munich), quoted as follows: - > GeoSpark comes close to a complete spatial analytics system. It also exhibits the best performance in most cases. ## Full publications diff --git a/docs/community/release-manager.md b/docs/community/release-manager.md index 1702f2167e..9b90d1af45 100644 --- a/docs/community/release-manager.md +++ b/docs/community/release-manager.md @@ -59,7 +59,6 @@ JAVA_HOME="${JAVA_HOME:-$(/usr/libexec/java_home -v 1.8)}" exec "/usr/local/Cell ## 3. Use SVN to update KEYS Use SVN to append your armored PGP public key to the `KEYS` files - * https://dist.apache.org/repos/dist/dev/sedona/KEYS * https://dist.apache.org/repos/dist/release/sedona/KEYS diff --git a/docs/setup/databricks.md b/docs/setup/databricks.md index 011c0392e5..1e26805f64 100644 --- a/docs/setup/databricks.md +++ b/docs/setup/databricks.md @@ -12,7 +12,6 @@ We recommend Databricks 10.x+. * 1.4.1, 1.5.0 are complied against Spark 3.3, 3.4, 3.5 > In Spark 3.2, `org.apache.spark.sql.catalyst.expressions.Generator` class added a field `nodePatterns`. Any SQL functions that rely on Generator class may have issues if compiled for a runtime with a differing spark version. For Sedona, those functions are: -> > * ST_MakeValid > * ST_SubDivideExplode