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jiayu pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
new e70fba6109 [DOCS] Fix spelling (#1812)
e70fba6109 is described below
commit e70fba61098bde0ae7c01f93599bd3fc9655bd70
Author: John Bampton <[email protected]>
AuthorDate: Mon Feb 17 08:38:17 2025 +1000
[DOCS] Fix spelling (#1812)
* [DOCS] Fix spelling
* Fix word casings
* Fix more spelling
* Fix typos
---
docs/setup/azure-synapse-analytics.md | 6 +++---
docs/tutorial/sql.md | 10 +++++-----
mkdocs.yml | 2 +-
.../core/spatialPartitioning/GenericUniquePartitioner.java | 8 ++++----
.../java/org/apache/sedona/core/spatialRDD/SpatialRDD.java | 2 +-
5 files changed, 14 insertions(+), 14 deletions(-)
diff --git a/docs/setup/azure-synapse-analytics.md
b/docs/setup/azure-synapse-analytics.md
index 1fb268b9f5..985eb0890f 100644
--- a/docs/setup/azure-synapse-analytics.md
+++ b/docs/setup/azure-synapse-analytics.md
@@ -42,7 +42,7 @@ From Maven
-
[geotools-wrapper-1.6.1-28.2.jar](https://mvnrepository.com/artifact/org.datasyslab/geotools-wrapper/1.6.1-28.2)
-From PyPi
+From PyPI
-
[rasterio-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl](https://files.pythonhosted.org/packages/cd/ad/2d3a14e5a97ca827a38d4963b86071267a6cd09d45065cd753d7325699b6/rasterio-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl)
@@ -225,7 +225,7 @@ pip install -r requirements.txt > pip-output.txt
grep Downloading pip-output.txt
```
-**This will be the list of packages you need to locate and download from PyPi**
+**This will be the list of packages you need to locate and download from PyPI**
Example output
@@ -243,6 +243,6 @@ Downloading click_plugins-1.1.1-py2.py3-none-any.whl (7.5
kB)
- upload packages to workspace
- add packages to your (clean!) Spark pool
-Pay careful attention to errors reported back from Synpase and troubleshoot to
resolve conflicts.
+Pay careful attention to errors reported back from Synapse and troubleshoot to
resolve conflicts.
Note: We didn't have issues with Sedona 1.6.0 on Spark 3.4, but Sedona 1.6.1
and supporting packages had a conflict around `numpy` which requires us to
download a specific version and add it to the packages list. `numpy` was not
listed in the output of the grep.
diff --git a/docs/tutorial/sql.md b/docs/tutorial/sql.md
index 009a21c87e..b51628b26c 100644
--- a/docs/tutorial/sql.md
+++ b/docs/tutorial/sql.md
@@ -1651,18 +1651,18 @@ You can use `StructuredAdapter` and the
`spatialRDD.spatialPartitioningWithoutDu
=== "Scala"
```scala
- spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE)
+ spatialRDD.spatialPartitioningWithoutDuplicates(GridType.KDBTREE)
// Specify the desired number of partitions as 10, though the actual
number may vary
- // spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE, 10)
+ // spatialRDD.spatialPartitioningWithoutDuplicates(GridType.KDBTREE, 10)
var spatialDf = StructuredAdapter.toSpatialPartitionedDf(spatialRDD,
sedona)
```
=== "Java"
```java
- spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE)
+ spatialRDD.spatialPartitioningWithoutDuplicates(GridType.KDBTREE)
// Specify the desired number of partitions as 10, though the actual
number may vary
- // spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE, 10)
+ // spatialRDD.spatialPartitioningWithoutDuplicates(GridType.KDBTREE, 10)
Dataset<Row> spatialDf =
StructuredAdapter.toSpatialPartitionedDf(spatialRDD, sedona)
```
@@ -1673,7 +1673,7 @@ You can use `StructuredAdapter` and the
`spatialRDD.spatialPartitioningWithoutDu
spatialRDD.spatialPartitioningWithoutDuplicates(GridType.KDBTREE)
# Specify the desired number of partitions as 10, though the actual
number may vary
- # spatialRDD.spatialParitioningWithoutDuplicates(GridType.KDBTREE, 10)
+ # spatialRDD.spatialPartitioningWithoutDuplicates(GridType.KDBTREE, 10)
spatialDf = StructuredAdapter.toSpatialPartitionedDf(spatialRDD, sedona)
```
diff --git a/mkdocs.yml b/mkdocs.yml
index eed5a32ab5..82073f4ab5 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -44,7 +44,7 @@ nav:
- Install on AWS Glue: setup/glue.md
- Install on Microsoft Fabric: setup/fabric.md
- Set up Spark cluster manually: setup/cluster.md
- - Install on Azure Synpase Analytics:
setup/azure-synapse-analytics.md
+ - Install on Azure Synapse Analytics:
setup/azure-synapse-analytics.md
- Install with Apache Flink:
- Install Sedona Scala/Java: setup/flink/install-scala.md
- Install with Snowflake:
diff --git
a/spark/common/src/main/java/org/apache/sedona/core/spatialPartitioning/GenericUniquePartitioner.java
b/spark/common/src/main/java/org/apache/sedona/core/spatialPartitioning/GenericUniquePartitioner.java
index 214446d6dd..1f65ca627e 100644
---
a/spark/common/src/main/java/org/apache/sedona/core/spatialPartitioning/GenericUniquePartitioner.java
+++
b/spark/common/src/main/java/org/apache/sedona/core/spatialPartitioning/GenericUniquePartitioner.java
@@ -49,19 +49,19 @@ public class GenericUniquePartitioner extends
SpatialPartitioner {
// and return the partition with the minimum ID. This ensures that given
the same
// (parent) partitioner, the output partitions from this method will be
consistent.
Iterator<Tuple2<Integer, Geometry>> it = parent.placeObject(spatialObject);
- int minParitionId = Integer.MAX_VALUE;
+ int minPartitionId = Integer.MAX_VALUE;
Geometry minGeometry = null;
while (it.hasNext()) {
Tuple2<Integer, Geometry> value = it.next();
- if (value._1() < minParitionId) {
- minParitionId = value._1();
+ if (value._1() < minPartitionId) {
+ minPartitionId = value._1();
minGeometry = value._2();
}
}
HashSet<Tuple2<Integer, Geometry>> out = new HashSet<Tuple2<Integer,
Geometry>>();
if (minGeometry != null) {
- out.add(new Tuple2<Integer, Geometry>(minParitionId, minGeometry));
+ out.add(new Tuple2<Integer, Geometry>(minPartitionId, minGeometry));
}
return out.iterator();
diff --git
a/spark/common/src/main/java/org/apache/sedona/core/spatialRDD/SpatialRDD.java
b/spark/common/src/main/java/org/apache/sedona/core/spatialRDD/SpatialRDD.java
index b8b46ae35e..3d5f6e662f 100644
---
a/spark/common/src/main/java/org/apache/sedona/core/spatialRDD/SpatialRDD.java
+++
b/spark/common/src/main/java/org/apache/sedona/core/spatialRDD/SpatialRDD.java
@@ -162,7 +162,7 @@ public class SpatialRDD<T extends Geometry> implements
Serializable {
return true;
}
- public boolean spatialParitioningWithoutDuplicates(GridType gridType) throws
Exception {
+ public boolean spatialPartitioningWithoutDuplicates(GridType gridType)
throws Exception {
int numPartitions = this.rawSpatialRDD.rdd().partitions().length;
spatialPartitioningWithoutDuplicates(gridType, numPartitions);
return true;
