== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@95c9d8c
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, method#37, url#44, responsecode#52, split(logs#19, ,, -1)[6] AS bytes#61]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, method#37, url#44, split(logs#19, ,, -1)[5] AS responsecode#52]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, method#37, split(logs#19, ,, -1)[4] AS url#44]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, split(logs#19, ,, -1)[3] AS method#37]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, split(logs#19, ,, -1)[2] AS time#31]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, split(logs#19, ,, -1)[1] AS hostname#26]
+- Project [logs#19, processing_time#14-T3000ms, split(logs#19, ,, -1)[0] AS idx#22]
+- EventTimeWatermark processing_time#14: timestamp, 3 seconds
+- Project [logs#19, processing_time#14]
+- Generate explode(split(raw_logs#4, , -1)), false, [logs#19]
+- Project [raw_logs#4, timestamp#1, cast(split(raw_logs#4, , -1)[0] as timestamp) AS processing_time#14]
+- Project [raw_logs#4, timestamp#1, current_batch_timestamp(1733613699829, TimestampType, Some(Dummy TimeZoneId)) AS processing_time#7]
+- Project [value#0 AS raw_logs#4, timestamp#1]
+- StreamingDataSourceV2Relation [value#0, timestamp#1], org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1@565361a2, TextSocketV2[host: stream-emulator.data-science-tools.svc.cluster.local, port: 5551], 35, 36
== Analyzed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@95c9d8c
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, method#37, url#44, responsecode#52, split(logs#19, ,, -1)[6] AS bytes#61]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, method#37, url#44, split(logs#19, ,, -1)[5] AS responsecode#52]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, method#37, split(logs#19, ,, -1)[4] AS url#44]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, time#31, split(logs#19, ,, -1)[3] AS method#37]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, hostname#26, split(logs#19, ,, -1)[2] AS time#31]
+- Project [logs#19, processing_time#14-T3000ms, idx#22, split(logs#19, ,, -1)[1] AS hostname#26]
+- Project [logs#19, processing_time#14-T3000ms, split(logs#19, ,, -1)[0] AS idx#22]
+- EventTimeWatermark processing_time#14: timestamp, 3 seconds
+- Project [logs#19, processing_time#14]
+- Generate explode(split(raw_logs#4, , -1)), false, [logs#19]
+- Project [raw_logs#4, timestamp#1, cast(split(raw_logs#4, , -1)[0] as timestamp) AS processing_time#14]
+- Project [raw_logs#4, timestamp#1, current_batch_timestamp(1733613699829, TimestampType, Some(Dummy TimeZoneId)) AS processing_time#7]
+- Project [value#0 AS raw_logs#4, timestamp#1]
+- StreamingDataSourceV2Relation [value#0, timestamp#1], org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1@565361a2, TextSocketV2[host: stream-emulator.data-science-tools.svc.cluster.local, port: 5551], 35, 36
== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@95c9d8c
+- Project [logs#19, processing_time#14-T3000ms, split(logs#19, ,, -1)[0] AS idx#22, split(logs#19, ,, -1)[1] AS hostname#26, split(logs#19, ,, -1)[2] AS time#31, split(logs#19, ,, -1)[3] AS method#37, split(logs#19, ,, -1)[4] AS url#44, split(logs#19, ,, -1)[5] AS responsecode#52, split(logs#19, ,, -1)[6] AS bytes#61]
+- EventTimeWatermark processing_time#14: timestamp, 3 seconds
+- Project [logs#19, processing_time#14]
+- Generate explode(split(raw_logs#4, , -1)), [0], false, [logs#19]
+- Project [value#0 AS raw_logs#4, cast(split(value#0, , -1)[0] as timestamp) AS processing_time#14]
+- StreamingDataSourceV2Relation [value#0, timestamp#1], org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1@565361a2, TextSocketV2[host: stream-emulator.data-science-tools.svc.cluster.local, port: 5551], 35, 36
== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@95c9d8c
+- *(3) Project [logs#19, processing_time#14-T3000ms, split(logs#19, ,, -1)[0] AS idx#22, split(logs#19, ,, -1)[1] AS hostname#26, split(logs#19, ,, -1)[2] AS time#31, split(logs#19, ,, -1)[3] AS method#37, split(logs#19, ,, -1)[4] AS url#44, split(logs#19, ,, -1)[5] AS responsecode#52, split(logs#19, ,, -1)[6] AS bytes#61]
+- EventTimeWatermark processing_time#14: timestamp, 3 seconds
+- *(2) Project [logs#19, processing_time#14]
+- Generate explode(split(raw_logs#4, , -1)), [processing_time#14], false, [logs#19]
+- *(1) Project [value#0 AS raw_logs#4, cast(split(value#0, , -1)[0] as timestamp) AS processing_time#14]
+- *(1) Project [value#0, timestamp#1]
+- MicroBatchScan[value#0, timestamp#1] class org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1
