java: use triple-quote strings instead of concat (#7481)

A little easier to read/edit

Signed-off-by: Andrew Duffy <andrew@a10y.dev>

Author: a10y

java/vortex-spark/src/test/java/dev/vortex/spark/VortexDataSourceWriteTest.java

@@ -332,14 +332,16 @@ public void testWriteAndReadTemporalAndStructColumns() throws IOException {
                 .selectExpr(
                         "cast(id as int) as id",
                         "CASE WHEN id = 0 THEN CAST('2024-01-02' AS DATE) ELSE CAST('2024-02-03' AS DATE) END AS event_date",
-                        "CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP) "
-                                + "ELSE CAST('2024-02-03 04:05:06.654321' AS TIMESTAMP) END AS event_ts",
-                        "named_struct("
-                                + "'event_date', CASE WHEN id = 0 THEN CAST('2024-01-02' AS DATE) ELSE CAST('2024-02-03' AS DATE) END, "
-                                + "'event_ts', CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP) "
-                                + "ELSE CAST('2024-02-03 04:05:06.654321' AS TIMESTAMP) END, "
-                                + "'label', CASE WHEN id = 0 THEN 'alpha' ELSE 'beta' END"
-                                + ") AS payload");
+                        """
+                        CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP)
+                        ELSE CAST('2024-02-03 04:05:06.654321' AS TIMESTAMP) END AS event_ts""",
+                        """
+                        named_struct(
+                            'event_date', CASE WHEN id = 0 THEN CAST('2024-01-02' AS DATE) ELSE CAST('2024-02-03' AS DATE) END,
+                            'event_ts', CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP)
+                                ELSE CAST('2024-02-03 04:05:06.654321' AS TIMESTAMP) END,
+                            'label', CASE WHEN id = 0 THEN 'alpha' ELSE 'beta' END
+                        ) AS payload""");
 
         Path outputPath = tempDir.resolve("temporal_struct_output");
         originalDf
@@ -371,15 +373,13 @@ public void testWriteAndReadTemporalAndStructColumns() throws IOException {
     @Test
     @DisplayName("Write TimestampNTZ columns and nested structs")
     public void testWriteTimestampNtzColumns() throws IOException {
-        Dataset<Row> timestampNtzDf = spark.range(0, 2)
-                .selectExpr(
-                        "cast(id as int) as id",
-                        "CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP_NTZ) "
-                                + "ELSE CAST(NULL AS TIMESTAMP_NTZ) END AS event_ntz",
-                        "named_struct("
-                                + "'event_ntz', CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP_NTZ) "
-                                + "ELSE CAST('2024-02-03 04:05:06.654321' AS TIMESTAMP_NTZ) END"
-                                + ") AS payload");
+        Dataset<Row> timestampNtzDf = spark.range(0, 2).selectExpr("cast(id as int) as id", """
+                        CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP_NTZ)
+                        ELSE CAST(NULL AS TIMESTAMP_NTZ) END AS event_ntz""", """
+                        named_struct(
+                            'event_ntz', CASE WHEN id = 0 THEN CAST('2024-01-02 03:04:05.123456' AS TIMESTAMP_NTZ)
+                                ELSE CAST('2024-02-03 04:05:06.654321' AS TIMESTAMP_NTZ) END
+                        ) AS payload""");
 
         Path outputPath = tempDir.resolve("timestamp_ntz_output");
         assertDoesNotThrow(() -> timestampNtzDf
@@ -406,18 +406,15 @@ private Dataset<Row> createTestDataFrame(int numRows) {
     }
 
     private List<String> projectTemporalAndStructRows(Dataset<Row> df) {
-        return df
-                .orderBy("id")
-                .selectExpr("to_json(named_struct("
-                        + "'id', id, "
-                        + "'event_date', cast(event_date as string), "
-                        + "'event_ts', date_format(event_ts, 'yyyy-MM-dd HH:mm:ss.SSSSSS'), "
-                        + "'payload_event_date', cast(payload.event_date as string), "
-                        + "'payload_event_ts', date_format(payload.event_ts, 'yyyy-MM-dd HH:mm:ss.SSSSSS'), "
-                        + "'payload_label', payload.label"
-                        + ")) as json")
-                .collectAsList()
-                .stream()
+        return df.orderBy("id").selectExpr("""
+                        to_json(named_struct(
+                            'id', id,
+                            'event_date', cast(event_date as string),
+                            'event_ts', date_format(event_ts, 'yyyy-MM-dd HH:mm:ss.SSSSSS'),
+                            'payload_event_date', cast(payload.event_date as string),
+                            'payload_event_ts', date_format(payload.event_ts, 'yyyy-MM-dd HH:mm:ss.SSSSSS'),
+                            'payload_label', payload.label
+                        )) as json""").collectAsList().stream()
                 .map(row -> row.getString(0))
                 .collect(Collectors.toList());
     }