Update example snippets on the landing page

_includes/landing-page/java/appender.java

@@ -2,7 +2,8 @@
 DuckDBConnection conn = (DuckDBConnection)
     DriverManager.getConnection("jdbc:duckdb:");
 Statement st = conn.createStatement();
-st.execute("CREATE TABLE person (name VARCHAR, age INT)");
+st.execute("CREATE TABLE person " +
+    "(name VARCHAR, age INT)");
 
 var appender = conn.createAppender(
     DuckDBConnection.DEFAULT_SCHEMA, "person");

_includes/landing-page/java/sql-query.java

@@ -3,7 +3,8 @@
     DriverManager.getConnection("jdbc:duckdb:");
 Statement st = conn.createStatement();
 ResultSet rs = st.executeQuery(
-    "SELECT station_name, count(*) AS num_services\n" +
+    "SELECT station_name,\n" +
+    "       count(*) AS num_services\n" +
     "FROM train_services\n" +
     "GROUP BY ALL\n" +
     "ORDER BY num_services DESC;");

_includes/landing-page/nodejs/sql-query.mjs

@@ -4,10 +4,11 @@ const instance = await DuckDBInstance.create();
 const connection = await instance.connect();
 const reader = await connection.runAndReadAll(
   `SELECT station_name, count(*) AS num_services
-    FROM 'http://blobs.duckdb.org/train_services.parquet'
-    WHERE monthname(date) = 'May'
-    GROUP BY ALL
-    ORDER BY num_services DESC
-    LIMIT 3;`
+   FROM
+   'http://blobs.duckdb.org/train_services.parquet'
+   WHERE monthname(date) = 'May'
+   GROUP BY ALL
+   ORDER BY num_services DESC
+   LIMIT 3;`
 );
 console.table(reader.getRows());

_includes/landing-page/nodejs/web-service-integration.mjs

@@ -1,13 +1,15 @@
 // Web Service Integration:
-// create endpoint to generate numbers
+// Create endpoint to generate numbers
 import express from "express";
 import { DuckDBInstance } from '@duckdb/node-api';
 const app = express();
 const instance = await DuckDBInstance.create();
 const connection = await instance.connect();
 app.get("/getnumbers", async (req, res) => {
-  const reader = await connection.runAndReadAll("SELECT random() AS num FROM range(10)");
+  const reader = await connection.runAndReadAll(
+    "SELECT random() AS num FROM range(10)");
   res.end(JSON.stringify(reader.getRows()));
 });
 
-app.listen(8082, () => console.log("Go to: http://localhost:8082/getnumbers"));
+app.listen(8082, () => console.log(
+  "Go to: http://localhost:8082/getnumbers"));

_includes/landing-page/python/udf.py

@@ -1,13 +1,13 @@
 # Create custom user-defined function
 import duckdb
 
-def add_plus_one(x):
+def plus_one(x):
     return x + 1
 
 con = duckdb.connect()
-con.create_function('add_plus_one', add_plus_one,
+con.create_function('plus_one', plus_one,
     ['BIGINT'], 'BIGINT', type='native')
 
 con.sql("""
-    SELECT sum(add_plus_one(i)) FROM range(10) tbl(i);
+    SELECT sum(plus_one(i)) FROM range(10) tbl(i);
     """)

_includes/landing-page/r/dplyr-integration.r

@@ -1,5 +1,5 @@
-# Integration with dplyr
-# Find the largest sepals and petals in the Iris data set
+# Find the largest sepals/petals in the Iris data set
+# using dplyr
 library("duckdb")
 library("dplyr")
 
@@ -8,7 +8,8 @@ duckdb_register(con, "iris", iris)
 tbl(con, "iris") |>
     filter(Sepal.Length > 5) |>
     group_by(Species) |>
-    summarize(num_observations = count(),
+    summarize(
+        num_observations = count(),
         max_width = max(Sepal.Width),
         max_petal_length = max(Petal.Length),
         na.rm = TRUE) |>

_includes/landing-page/r/duckplyr.r

@@ -0,0 +1,13 @@
+# Find the largest sepals/petals in the Iris data set
+# using duckplyr
+library("duckplyr")
+
+iris |>
+    filter(Sepal.Length > 5) |>
+    group_by(Species) |>
+    summarize(
+        num_observations = n(),
+        max_width = max(Sepal.Width),
+        max_petal_length = max(Petal.Length),
+        na.rm = TRUE) |>
+    collect()

_includes/landing-page/r/sql-query.r

@@ -1,16 +1,16 @@
-# Find the largest sepals & petals in the Iris data set
+# Find the largest sepals/petals in the Iris data set
 library(duckdb)
 
 con <- dbConnect(duckdb())
 duckdb_register(con, "iris", iris)
 
 query <- r'(
-SELECT count(*) AS num_observations,
-max("Sepal.Width") AS max_width,
-max("Petal.Length") AS max_petal_length
-FROM iris
-WHERE "Sepal.Length" > 5
-GROUP BY ALL
-)'
+    SELECT count(*) AS num_observations,
+    max("Sepal.Width") AS max_width,
+    max("Petal.Length") AS max_petal_length
+    FROM iris
+    WHERE "Sepal.Length" > 5
+    GROUP BY ALL
+    )'
 
 dbGetQuery(con, query)

_includes/landing-page/sql/join-full.sql

@@ -4,10 +4,10 @@ CREATE TABLE distances AS
     FROM 's3://duckdb-blobs/distances.parquet';
 
 -- Find the top-3 longest domestic train routes
-SELECT s1.name_short, s2.name_short, distances.distance
-FROM distances
-JOIN stations s1 ON distances.station1 = s1.code
-JOIN stations s2 ON distances.station2 = s2.code
+SELECT s1.name_short, s2.name_short, d.distance
+FROM distances d
+JOIN stations s1 ON d.station1 = s1.code
+JOIN stations s2 ON d.station2 = s2.code
 WHERE s1.country = s2.country
   AND s1.code < s2.code
 ORDER BY distance DESC

_includes/landing-page/sql/join.sql

@@ -1,8 +1,8 @@
 -- Find the top-3 longest domestic train routes
-SELECT s1.name_short, s2.name_short, distances.distance
-FROM distances
-JOIN stations s1 ON distances.station1 = s1.code
-JOIN stations s2 ON distances.station2 = s2.code
+SELECT s1.name_short, s2.name_short, d.distance
+FROM distances d
+JOIN stations s1 ON d.station1 = s1.code
+JOIN stations s2 ON d.station2 = s2.code
 WHERE s1.country = s2.country
   AND s1.code < s2.code
 ORDER BY distance DESC

_includes/landing-page/sql/spatial-extension.sql

@@ -1,5 +1,4 @@
--- What are the top-3 closest Intercity stations
--- using aerial distance?
+-- List the closest IC stations (as the crow flies)
 SELECT
     s1.name_long AS station1,
     s2.name_long AS station2,

index.html

@@ -207,6 +207,7 @@ <h3>{{ event.title }}</h3>
 <!-- specific example list for R -->	
 <div data-language="r">
 	<option value="r-sql-query">SQL query</option>
+	<option value="r-duckplyr">duckplyr</option>
 	<option value="r-dplyr-integration">dplyr integration</option>
 </div>
 
@@ -286,6 +287,12 @@ <h3>{{ event.title }}</h3>
 {% endhighlight %}
 </div>
 
+<div data-language="r" data-example="r-duckplyr" data-buttontxt="R documentation" data-buttonurl="/docs/api/r">
+{% highlight r %}
+{% include landing-page/r/duckplyr.r %}
+{% endhighlight %}
+</div>
+
 <div data-language="r" data-example="r-dplyr-integration" data-buttontxt="R documentation" data-buttonurl="/docs/api/r">
 {% highlight r %}
 {% include landing-page/r/dplyr-integration.r %}