FLink同步mysql到Iceberg丢数问题排查解决
一、问题背景
数据对比程序发现通过Flink cdc同步mysql写入Iceberg表运行一段时间后存在丢数问题，排查到丢数是由于hivemetastore钩子函数缺陷引起，由腾讯云EMR修复
钩子函数作用：在查询表时，更新hivemetastore中表的最近访问时间
产生丢数的原因：因钩子函数需要更新表的访问时间，每次有用户或程序查询iceberg表时，会查询两次表元数据信息，第一次是进入钩子时查询元数据放入本地缓存，第二次是更新元数据前查询，如果发现信息不一致时候，会用缓存中的旧元数据信息覆盖新元数据信息。
例：如果在第一次查询和第二次查询之前（1s以内）由Flink产生新的快照，则新的快照数据会丢失(包含新增和变更数据)。
解决方法：新增jar包，修改hivemetastore钩子函数实现方式。新的实现方式在每次查询iceberg表后，因稳定性问题暂时不记录iceberg表最新访问时间，解决丢失问题后再支持记录。
包名称：gaotu-2.3.7.jar
二、排查步骤
1、确定丢数范围
通过数据对比程序发现丢失的数据，根据数据中的时间字段确定丢失时间，Flink checkpoint间隔为5分钟
丢失范围：2024-11-20 15:14:21 到 2024-11-20 15:19:21
2、Flink日志
根据丢失时间查看Flink日志，查找丢失原因。因为是15:14到15:19丢失，重点查看19之后的这个snapshot为什么丢失
查看日志：2024-11-20 15:13:00 到 2024-11-20 15:26:00
发现15:14写入的快照（4977517608969348914）：
/user/hive/warehouse/data_lake_ods.db/test_table/metadata/76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
在15:19快照写入完成（4313870241449314539）数据丢失：
/user/hive/warehouse/data_lake_ods.db/test_table/metadata/76941-91e848c9-53fe-48e8-8231-bbef3878f4f6.metadata.json
在15:19快照写入完成之后刷新时展示为旧快照信息（4977517608969348914）：
/user/hive/warehouse/data_lake_ods.db/test_table/metadata/76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
在15:24时根据回退的快照进行更新，导致15:19快照数据丢失，注意此次快照也是76941（3742834955695330611）：
/user/hive/warehouse/data_lake_ods.db/test_table/metadata/76941-efaf3b2c-129c-45da-8ab6-2b5ec6818c76.metadata.json
怀疑是版本回退导致，并且在flink代码中没看到回退代码，需要看回退的请求是由谁发起
2024-11-20 15:14:19.552 [Source: MySQL-CDC (1/1)#3] INFO com.ververica.cdc.connectors.mysql.source.reader.MySqlSourceReader - Binlog offset on checkpoint 68683: {transaction_id=null, ts_sec=1732086856, file=mysql-bin.034942, pos=200128155, kind=SPECIFIC, gtids=3347586f-8531-11eb-bd7e-0c42a18d9a58:1-4228948520, row=0, event=0, server_id=33401644}
2024-11-20 15:14:19.552 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleStreamWriter - Submit 0 cached write results before checkpoint 68683.
2024-11-20 15:14:19.636 [AsyncOperations-thread-4731] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - The MPU-UploadPart checksum is enabled, and the message digest algorithm is MD5.
2024-11-20 15:14:19.636 [AsyncOperations-thread-4731] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - The consistency checker is enabled.
2024-11-20 15:14:19.651 [AsyncOperations-thread-4731] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - Closing the output stream [org.apache.hadoop.fs.CosNFSDataOutputStream@3958309f].
2024-11-20 15:14:19.724 [AsyncOperations-thread-4731] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - Upload the key [/1312784730/4611686018432453987/cql-hw7g11k5/4/flink-checkpoints/00000000000000000000000000000000/chk-68683/8edfc08d-b064-472b-8241-7a1adefb2067] successfully. check message: File verification succeeded. expected length: 2621817, real length: 2621817, expected CRC64 value: -3758786474250627517, real CRC64 value: -3758786474250627517.
2024-11-20 15:14:19.789 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleStreamWriter - Emit iceberg write result dataFiles: [GenericDataFile{content=data, file_path=/user/hive/warehouse/data_lake_ods.db/test_table/data/00000-3-97858102-92d7-410c-ada6-71504c4a7dba-09472.parquet, file_format=PARQUET, spec_id=0, partition=PartitionData{}, record_count=61, file_size_in_bytes=19139, column_sizes=
2024-11-20 15:14:19.790 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.RowDataTaskWriterFactory - Create an unPartitioned upsert delta writer for table HIVE.data_lake_ods.test_table.
2024-11-20 15:14:19.790 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.hadoop.io.compress.CodecPool - Got brand-new compressor [.gz]
2024-11-20 15:14:19.790 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.hadoop.io.compress.CodecPool - Got brand-new compressor [.gz]
2024-11-20 15:14:19.791 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.shaded.org.apache.inlong.sort.base.util.MetricStateUtils - snapshotMetricStateForSinkMetricData:PartitionableListState{stateMetaInfo=RegisteredOperatorBackendStateMetaInfo{name='inlong-metric-states', assignmentMode=UNION, partitionStateSerializer=org.apache.flink.api.java.typeutils.runtime.PojoSerializer@b14a7b34}, internalList=[MetricState{subtaskIndex=0,
2024-11-20 15:14:19.791 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Start to flush snapshot state to state backend, table: HIVE.data_lake_ods.test_table, checkpointId: 68683
2024-11-20 15:14:20.662 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Committing rowDelta with 1 data files and 1 delete files to table HIVE.data_lake_ods.test_table with max committed checkpoint id 68683.
2024-11-20 15:14:21.624 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.hive.HiveTableOperations - Committed to table HIVE.data_lake_ods.test_table with the new metadata location /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
2024-11-20 15:14:21.624 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Successfully committed to table HIVE.data_lake_ods.test_table in 435 ms
2024-11-20 15:14:21.624 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.SnapshotProducer - Committed snapshot 4977517608969348914 (BaseRowDelta)
2024-11-20 15:14:21.767 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Refreshing table metadata from new version: /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
2024-11-20 15:14:21.994 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Committed in 1332 ms
2024-11-20 15:14:44.669 [Source: MySQL-CDC (1/1)#3] INFO com.ververica.cdc.connectors.mysql.source.metrics.MySqlSourceReaderMetrics - Current binlog offset: {transaction_id=null, ts_sec=1732086884, file=mysql-bin.034942, pos=200262933, kind=SPECIFIC, gtids=3347586f-8531-11eb-bd7e-0c42a18d9a58:1-4228948661, row=1, event=2, server_id=33401644}
2024-11-20 15:19:19.455 [Source: MySQL-CDC (1/1)#3] INFO com.ververica.cdc.connectors.mysql.source.reader.MySqlSourceReader - Binlog offset on checkpoint 68684: {transaction_id=null, ts_sec=1732087157, file=mysql-bin.034942, pos=202753170, kind=SPECIFIC, gtids=3347586f-8531-11eb-bd7e-0c42a18d9a58:1-4228952439, row=0, event=0, server_id=33401644}
2024-11-20 15:19:19.456 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleStreamWriter - Submit 0 cached write results before checkpoint 68684.
2024-11-20 15:19:19.554 [AsyncOperations-thread-4732] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - The MPU-UploadPart checksum is enabled, and the message digest algorithm is MD5.
2024-11-20 15:19:19.554 [AsyncOperations-thread-4732] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - The consistency checker is enabled.
2024-11-20 15:19:19.569 [AsyncOperations-thread-4732] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - Closing the output stream [org.apache.hadoop.fs.CosNFSDataOutputStream@156b1662].
2024-11-20 15:19:19.642 [AsyncOperations-thread-4732] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - Upload the key [/1312784730/4611686018432453987/cql-hw7g11k5/4/flink-checkpoints/00000000000000000000000000000000/chk-68684/33c8f75e-be44-47ec-801b-681217e82b09] successfully. check message: File verification succeeded. expected length: 2621817, real length: 2621817, expected CRC64 value: 3353706539747368092, real CRC64 value: 3353706539747368092.
2024-11-20 15:19:19.713 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleStreamWriter - Emit iceberg write result dataFiles: [GenericDataFile{content=data, file_path=/user/hive/warehouse/data_lake_ods.db/test_table/data/00000-3-97858102-92d7-410c-ada6-71504c4a7dba-09474.parquet, file_format=PARQUET, spec_id=0, partition=PartitionData{}, record_count=77, file_size_in_bytes=20433, column_sizes=
2024-11-20 15:19:19.713 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.RowDataTaskWriterFactory - Create an unPartitioned upsert delta writer for table HIVE.data_lake_ods.test_table.
2024-11-20 15:19:19.713 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.hadoop.io.compress.CodecPool - Got brand-new compressor [.gz]
2024-11-20 15:19:19.714 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.hadoop.io.compress.CodecPool - Got brand-new compressor [.gz]
2024-11-20 15:19:19.714 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.shaded.org.apache.inlong.sort.base.util.MetricStateUtils - snapshotMetricStateForSinkMetricData:PartitionableListState{stateMetaInfo=RegisteredOperatorBackendStateMetaInfo{name='inlong-metric-states', assignmentMode=UNION, partitionStateSerializer=org.apache.flink.api.java.typeutils.runtime.PojoSerializer@b14a7b34}, internalList=[MetricSta
2024-11-20 15:19:19.714 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Start to flush snapshot state to state backend, table: HIVE.data_lake_ods.test_table, checkpointId: 68684
2024-11-20 15:19:20.741 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Committing rowDelta with 1 data files and 1 delete files to table HIVE.data_lake_ods.test_table with max committed checkpoint id 68684.
2024-11-20 15:19:21.775 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.hive.HiveTableOperations - Committed to table HIVE.data_lake_ods.test_table with the new metadata location /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76941-91e848c9-53fe-48e8-8231-bbef3878f4f6.metadata.json
2024-11-20 15:19:21.775 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Successfully committed to table HIVE.data_lake_ods.test_table in 427 ms
2024-11-20 15:19:21.775 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.SnapshotProducer - Committed snapshot 4313870241449314539 (BaseRowDelta)
2024-11-20 15:19:21.909 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Refreshing table metadata from new version: /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76941-91e848c9-53fe-48e8-8231-bbef3878f4f6.metadata.json
2024-11-20 15:19:22.155 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Refreshing table metadata from new version: /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
2024-11-20 15:19:22.227 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Committed in 1486 ms
2024-11-20 15:24:19.446 [Source: MySQL-CDC (1/1)#3] INFO com.ververica.cdc.connectors.mysql.source.reader.MySqlSourceReader - Binlog offset on checkpoint 68685: {transaction_id=null, ts_sec=1732087453, file=mysql-bin.034942, pos=211543184, kind=SPECIFIC, gtids=3347586f-8531-11eb-bd7e-0c42a18d9a58:1-4228954841, row=1, event=2, server_id=33401644}
2024-11-20 15:24:19.446 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleStreamWriter - Submit 0 cached write results before checkpoint 68685.
2024-11-20 15:24:19.580 [AsyncOperations-thread-4733] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - The MPU-UploadPart checksum is enabled, and the message digest algorithm is MD5.
2024-11-20 15:24:19.581 [AsyncOperations-thread-4733] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - The consistency checker is enabled.
2024-11-20 15:24:19.595 [AsyncOperations-thread-4733] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - Closing the output stream [org.apache.hadoop.fs.CosNFSDataOutputStream@1816b495].
20550471.126: [GC (Allocation Failure) [PSYoungGen: 293226K->8148K(301056K)] 586225K->301747K(930816K), 0.0521980 secs] [Times: user=0.02 sys=0.00, real=0.05 secs]
2024-11-20 15:24:19.733 [AsyncOperations-thread-4733] INFO org.apache.hadoop.fs.CosNFSDataOutputStream - Upload the key [/1312784730/4611686018432453987/cql-hw7g11k5/4/flink-checkpoints/00000000000000000000000000000000/chk-68685/2e66d1e0-5640-47bd-b777-87a39693d22b] successfully. check message: File verification succeeded. expected length: 2621817, real length: 2621817, expected CRC64 value: -5527772684804224707, real CRC64 value: -5527772684804224707.
2024-11-20 15:24:19.739 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleStreamWriter - Emit iceberg write result dataFiles: [GenericDataFile{content=data, file_path=/user/hive/warehouse/data_lake_ods.db/test_table/data/00000-3-97858102-92d7-410c-ada6-71504c4a7dba-09476.parquet, file_format=PARQUET, spec_id=0, partition=PartitionData{}, record_count=88, file_size_in_bytes=20704, column_si
2024-11-20 15:24:19.739 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.RowDataTaskWriterFactory - Create an unPartitioned upsert delta writer for table HIVE.data_lake_ods.test_table.
2024-11-20 15:24:19.739 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.hadoop.io.compress.CodecPool - Got brand-new compressor [.gz]
2024-11-20 15:24:19.740 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.hadoop.io.compress.CodecPool - Got brand-new compressor [.gz]
2024-11-20 15:24:19.740 [57206_339525-IcebergSingleStreamWriter (1/1)#3] INFO org.apache.inlong.sort.iceberg.shaded.org.apache.inlong.sort.base.util.MetricStateUtils - snapshotMetricStateForSinkMetricData:PartitionableListState{stateMetaInfo=RegisteredOperatorBackendStateMetaInfo{name='inlong-metric-states', assignmentMode=UNION, partitionStateSerializer=org.apache.flink.api.java.typeutils.runtime.PojoSerializer@b14a7b34}, internalList=[Met
2024-11-20 15:24:19.740 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Start to flush snapshot state to state backend, table: HIVE.data_lake_ods.test_table, checkpointId: 68685
2024-11-20 15:24:20.501 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Committing rowDelta with 1 data files and 1 delete files to table HIVE.data_lake_ods.test_table with max committed checkpoint id 68685.
2024-11-20 15:24:21.569 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.hive.HiveTableOperations - Committed to table HIVE.data_lake_ods.test_table with the new metadata location /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76941-efaf3b2c-129c-45da-8ab6-2b5ec6818c76.metadata.json
2024-11-20 15:24:21.569 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Successfully committed to table HIVE.data_lake_ods.test_table in 420 ms
2024-11-20 15:24:21.569 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.SnapshotProducer - Committed snapshot 3742834955695330611 (BaseRowDelta)
2024-11-20 15:24:21.732 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.iceberg.BaseMetastoreTableOperations - Refreshing table metadata from new version: /user/hive/warehouse/data_lake_ods.db/test_table/metadata/76941-efaf3b2c-129c-45da-8ab6-2b5ec6818c76.metadata.json
2024-11-20 15:24:21.964 [57206_339525-IcebergSingleFileCommiter (1/1)#3] INFO org.apache.inlong.sort.iceberg.sink.multiple.IcebergSingleFileCommiter - Committed in 1463 ms
2024-11-20 15:24:51.170 [Source: MySQL-CDC (1/1)#3] INFO com.ververica.cdc.connectors.mysql.source.metrics.MySqlSourceReaderMetrics - Current binlog offset: {transaction_id=null, ts_sec=1732087491, file=mysql-bin.034942, pos=212051182, kind=SPECIFIC, gtids=3347586f-8531-11eb-bd7e-0c42a18d9a58:1-4228955402, row=1, event=2, server_id=33401644}3、在hivemetastore的mysql审计日志查询请求来源
时间：2024-11-20 15:13:00 到 2024-11-20 15:26:00
15:14快照：76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
15:19快照：76941-91e848c9-53fe-48e8-8231-bbef3878f4f6.metadata.json
15:24快照：76941-efaf3b2c-129c-45da-8ab6-2b5ec6818c76.metadata.json
查看15:19分两次写入的来源ip，其中2024-11-20 15:19:21.744为flink程序写入，2024-11-20 15:19:21.855写入导致丢失，所以需要查询来源来定位问题
4、根据2024-11-20 15:19:21.855执行旧快照的sql，查看来源是hivemetastore地址，请求是经过hivemetastore转发而来。
所以需要登录hivemetastore服务器，根据日志来确定具体来源
由于我们集群日志记录为ERROR级别无法查看，修改EMR的hive-metastore-log4j2.properties配置文件，改成INFO级别来记录更详细信息
rootLogger.level=INFO
5、查看hivemetastore请求来源ip
15:14重复更新的快照文件：76940-9a38c76d-1302-4776-b75e-d350aeb8a8bd.metadata.json
cd /data/emr/hive/logs
cp 078b6846-d931-4bf5-a4dd-6328c9b97665-hadoop_hive_metastore_audit-2024-11-20.tar.gz ~/templog
tar -zxf 078b6846-d931-4bf5-a4dd-6328c9b97665-hadoop_hive_metastore_audit-2024-11-20.tar.gz
2024-11-20 15:19:33,290 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:33,292 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:33,293 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:33,295 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:33,297 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:33,299 INFO ip=000.000.000.193 cmd=get_table : db=data_lake_ods tbl=test1
2024-11-20 15:19:33,306 INFO ip=000.000.000.193 cmd=alter_table: db=data_lake_ods tbl=test1 newtbl=test1
2024-11-20 15:19:33,526 INFO ip=000.000.000.193 cmd=get_table : db=data_lake_ods tbl=test2
2024-11-20 15:19:33,534 INFO ip=000.000.000.193 cmd=alter_table: db=data_lake_ods tbl=test2 newtbl=test2
2024-11-20 15:19:33,711 INFO ip=000.000.000.193 cmd=get_table : db=data_lake_ods tbl=lost_table_111111111111111111111111111111
2024-11-20 15:19:33,718 INFO ip=000.000.000.193 cmd=alter_table: db=data_lake_ods tbl=lost_table_111111111111111111111111111111 newtbl=lost_table_111111111111111111111111111111
2024-11-20 15:19:33,880 INFO ip=000.000.000.193 cmd=get_table : db=data_lake_ods tbl=table3
2024-11-20 15:19:33,887 INFO ip=000.000.000.193 cmd=alter_table: db=data_lake_ods tbl=table3 newtbl=table3
2024-11-20 15:19:33,994 INFO ip=000.000.000.193 cmd=get_all_tables: db=haoke_statistics_offline
2024-11-20 15:19:33,996 INFO ip=000.000.000.193 cmd=get_multi_table : db=haoke_statistics_offline tbls=course_course_similary,express_address,haoke_statistics_achievement,ll_test
2024-11-20 15:19:34,021 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:34,023 INFO ip=000.000.000.193 cmd=get_all_tables: db=haoke_statistics_offline_test
2024-11-20 15:19:34,025 INFO ip=000.000.000.193 cmd=get_multi_table : db=haoke_statistics_offline_test tbls=express_address,ll_test
2024-11-20 15:19:34,039 INFO ip=000.000.000.193 cmd=get_table : db=data_lake_ods tbl=table4
2024-11-20 15:19:34,046 INFO ip=000.000.000.193 cmd=alter_table: db=data_lake_ods tbl=table4 newtbl=table4
2024-11-20 15:19:34,236 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:34,238 INFO ip=000.000.000.193 cmd=get_table : db=data_lake_ods tbl=table5
2024-11-20 15:19:34,246 INFO ip=000.000.000.193 cmd=alter_table: db=data_lake_ods tbl=table5 newtbl=table5
2024-11-20 15:19:34,441 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:34,443 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:34,445 INFO ip=000.000.000.193 cmd=get_all_databases
2024-11-20 15:19:34,447 INFO ip=000.000.000.193 cmd=get_all_databases 6、来源ip部署了Amoro治理服务
问题：Amoro查看代码发现并没有旧快照覆盖新快照的逻辑，并且当时这张表没有治理任务，通过日志看，当时只有查询这张表的操作。
怀疑：是select操作会不会导致元数据更新，想到可能是有hive的钩子函数会更新表的访问时间，需要确认是不是钩子函数的逻辑引起
7、hive钩子函数确认
在用户发起select时，hivemetastore包中UpdateTableAccessTimeListener钩子方法查询两次表信息，如果发现信息不一致则会更新表的hive元数据信息。
问题：其中更新元数据时有缺陷，正常应该只更新访问时间字段，其它属性不应该更新，而钩子函数对不一样的属性都做了更新。
钩子逻辑：其中进入钩子时查询一次元数据放入缓存，更新访问时间之前查询一次表元数据信息，如果在第一次和第二次查询元数据之间，由flink程序更新了表最新快照id，则会导致两次查询的元数据属性不一致，会用缓存中的旧快照覆盖新快照，导致flink写入的新快照数据丢失。
UpdateTableAccessTimeListenerV2
private void updateAccessTime(PreReadTableEvent event) {
try {
int lastAccessTime = (int)(System.currentTimeMillis() / 1000L);
Table table = event.getTable();
table.setLastAccessTime(lastAccessTime);
Map<String, String> parameters = table.getParameters();
String tableType = parameters.get("table_type");
if (tableType!=null && tableType.equalsIgnoreCase("ICEBERG")) {
LOG.info("skip updating table access time, db:" + table.getDbName() + ",table:" + table.getTableName() + ",access_time:" + lastAccessTime+",tableType:"+tableType);
}else {
event.getHandler().alter_table(table.getDbName(), table.getTableName(), table);
}
} catch (MetaException | InvalidOperationException ex) {
LOG.warn("Failed update table access time:" + ex);
}
}
8、分析工具
介绍：可以分析运行程序某个方法中传参，来分析方法中接收到的请求内容
https://arthas.aliyun.com/doc/watch.html#%E5%90%8C%E6%97%B6%E8%A7%82%E5%AF%9F%E5%87%BD%E6%95%B0%E8%B0%83%E7%94%A8%E5%89%8D%E5%92%8C%E5%87%BD%E6%95%B0%E8%BF%94%E5%9B%9E%E5%90%8E
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