bk-mz commented on code in PR #12856:
URL: https://github.com/apache/iceberg/pull/12856#discussion_r2052733653
##########
spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/source/SparkMicroBatchStream.java:
##########
@@ -105,28 +108,54 @@ public class SparkMicroBatchStream implements
MicroBatchStream, SupportsAdmissio
this.maxFilesPerMicroBatch = readConf.maxFilesPerMicroBatch();
this.maxRecordsPerMicroBatch = readConf.maxRecordsPerMicroBatch();
+ LOG.info(
+ "Initializing SparkMicroBatchStream with params: branch={},
caseSensitive={}, "
+ + "splitSize={}, splitLookback={}, splitOpenFileCost={},
fromTimestamp={}, "
+ + "maxFilesPerMicroBatch={}, maxRecordsPerMicroBatch={}",
Review Comment:
Unfortunately, I couldn't find anything related to that from spark ui.
Microbatch Scan:
<img width="1058" alt="image"
src="https://github.com/user-attachments/assets/07ecb82c-5f76-43f9-afcd-47d717f3c0b7";
/>
```text
== Parsed Logical Plan ==
WriteToMicroBatchDataSourceV1 ForeachBatchSink,
d053491a-73d0-4d8b-b364-ecef987788b9,
[checkpointLocation=s3://my-table/checkpoints7, fanout-enabled=true], Append, 26
+- StreamingDataSourceV2Relation [key#0, value#1, topic#2, partition#3,
offset#4L, timestamp#5, timestampType#6, headers#7],
IcebergScan(table=my_catalog.my_database.my_table, branch=null, type=struct<1:
key: optional binary, 2: value: optional binary, 3: topic: optional string, 4:
partition: optional int, 5: offset: optional long, 6: timestamp: optional
timestamptz, 7: timestampType: optional int, 8: headers: optional
list<struct<10: key: optional string, 11: value: optional binary>>>,
filters=[], runtimeFilters=[], caseSensitive=false),
org.apache.iceberg.spark.source.SparkMicroBatchStream@4b3c3e87, Streaming
Offset[7176483676499627176: position (0) scan_all_files (false)], Streaming
Offset[3260915119082769976: position (3) scan_all_files (false)]
== Analyzed Logical Plan ==
key: binary, value: binary, topic: string, partition: int, offset: bigint,
timestamp: timestamp, timestampType: int, headers:
array<struct<key:string,value:binary>>
WriteToMicroBatchDataSourceV1 ForeachBatchSink,
d053491a-73d0-4d8b-b364-ecef987788b9,
[checkpointLocation=s3://my-table/checkpoints7, fanout-enabled=true], Append, 26
+- StreamingDataSourceV2Relation [key#0, value#1, topic#2, partition#3,
offset#4L, timestamp#5, timestampType#6, headers#7],
IcebergScan(table=my_catalog.my_database.my_table, branch=null, type=struct<1:
key: optional binary, 2: value: optional binary, 3: topic: optional string, 4:
partition: optional int, 5: offset: optional long, 6: timestamp: optional
timestamptz, 7: timestampType: optional int, 8: headers: optional
list<struct<10: key: optional string, 11: value: optional binary>>>,
filters=[], runtimeFilters=[], caseSensitive=false),
org.apache.iceberg.spark.source.SparkMicroBatchStream@4b3c3e87, Streaming
Offset[7176483676499627176: position (0) scan_all_files (false)], Streaming
Offset[3260915119082769976: position (3) scan_all_files (false)]
== Optimized Logical Plan ==
StreamingDataSourceV2Relation [key#0, value#1, topic#2, partition#3,
offset#4L, timestamp#5, timestampType#6, headers#7],
IcebergScan(table=my_catalog.my_database.my_table, branch=null, type=struct<1:
key: optional binary, 2: value: optional binary, 3: topic: optional string, 4:
partition: optional int, 5: offset: optional long, 6: timestamp: optional
timestamptz, 7: timestampType: optional int, 8: headers: optional
list<struct<10: key: optional string, 11: value: optional binary>>>,
filters=[], runtimeFilters=[], caseSensitive=false),
org.apache.iceberg.spark.source.SparkMicroBatchStream@4b3c3e87, Streaming
Offset[7176483676499627176: position (0) scan_all_files (false)], Streaming
Offset[3260915119082769976: position (3) scan_all_files (false)]
== Physical Plan ==
*(1) Project [key#0, value#1, topic#2, partition#3, offset#4L, timestamp#5,
timestampType#6, headers#7]
+- MicroBatchScan[key#0, value#1, topic#2, partition#3, offset#4L,
timestamp#5, timestampType#6, headers#7] my_catalog.my_database.my_table
(branch=null) [filters=, groupedBy=]
```
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