rog33zy opened a new issue, #1827:
URL: https://github.com/apache/sedona/issues/1827
### Description:
I am using Apache Sedona with Sparklyr in R to visualize a GeoParquet file,
but I am encountering an error when trying to render a choropleth map using
**sedona_render_choropleth_map()**.
### Error Message:
> ! java.lang.Exception: No matched method found for class
>
org.apache.sedona.viz.extension.visualizationEffect.ChoroplethMap.Visualize
### Environment Details:
- Operating System: Docker rocker/rstudio:4.4.1 image running Ubuntu
- Apache Sedona Version: 1.7.0 (for sedona-spark-shaded) and 1.4.1 (for
sedona-viz)
- Spark Version: 3.5.4
- Sparklyr Version: 1.8.6
- R Version: 4.4.1
### Reproducible Code:
```
library(sparklyr)
library(apache.sedona)
partitions_to_use <- parallel::detectCores() * 3
spark_dir = file.path(getwd(), "data", "spark")
config <- spark_config()
config$`sparklyr.shell.driver-java-options` <- paste0("-Djava.io.tmpdir=",
spark_dir)
config$`sparklyr.shell.driver-memory` <- '6G'
config$`sparklyr.shell.executor-memory` <- "6G"
config$`spark.executor.memoryOverhead` <- "2512"
config$spark.sql.shuffle.partitions.local <- partitions_to_use
config$spark.driver.extraJavaOptions <- "-Xmx4G"
Sys.setenv(
"SEDONA_JAR_FILES" =
"/opt/spark/jars/sedona-spark-shaded-3.5_2.12-1.7.0.jar:/opt/spark/jars/sedona-viz-3.4_2.12-1.4.1.jar"
)
options(sparklyr.log.console = F)
sc <- spark_connect(master = "local[*]", config = config)
resolution_x <- 1000
resolution_y <- 600
boundary <- c(-74.25909, -73.70018, 40.477399, 40.917577)
df <- spark_read_geoparquet(
sc,
name = "fulldata",
path = file.path(getwd(), "data", "geoparquets2",
"part-0004.snappy.parquet")
)
sdf_schema(df)
polygon_rdd <- to_spatial_rdd(
df |> select(pickup_geomety),
spatial_col = "pickup_geomety"
)
polygon_df <- sdf_register(polygon_rdd) |> mutate(value = 1L)
polygon_pair_rdd <- to_spatial_rdd(
polygon_df,
"geometry"
)
base_map_file <- "./base-map"
sedona_render_choropleth_map(
pair_rdd = polygon_pair_rdd,
resolution_x = resolution_x,
resolution_y = resolution_y,
output_location = base_map_file,
boundary = boundary,
color_of_variation = "green",
base_color = c(255,255,255)
)
```
### What I have Tried:
- Verified that the JAR files are correctly loaded into Spark.
- Checked that the spatial RDDs are correctly created.
- Ensured that the pickup_geomety and geometry columns exist in the dataset.
Would appreciate any guidance on resolving this issue! Thanks in advance.
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