You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hudi.apache.org by "sivabalan narayanan (Jira)" <ji...@apache.org> on 2021/05/05 04:45:00 UTC
[jira] [Updated] (HUDI-1718) when query incr view of mor table
which has Multi level partitions, the query failed
[ https://issues.apache.org/jira/browse/HUDI-1718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
sivabalan narayanan updated HUDI-1718:
--------------------------------------
Status: Closed (was: Patch Available)
> when query incr view of mor table which has Multi level partitions, the query failed
> -------------------------------------------------------------------------------------
>
> Key: HUDI-1718
> URL: https://issues.apache.org/jira/browse/HUDI-1718
> Project: Apache Hudi
> Issue Type: Bug
> Components: Hive Integration
> Affects Versions: 0.7.0, 0.8.0
> Reporter: tao meng
> Assignee: tao meng
> Priority: Major
> Labels: pull-request-available, sev:critical, user-support-issues
> Fix For: 0.9.0
>
>
> HoodieCombineHiveInputFormat use "," to join mutil partitions, however hive use "/" to join muit1 partitions. there exists some gap, so modify HoodieCombineHiveInputFormat's logical
> test env
> spark2.4.5, hadoop 3.1.1, hive 3.1.1
>
> step1:
> val df = spark.range(0, 10000).toDF("keyid")
> .withColumn("col3", expr("keyid + 10000000"))
> .withColumn("p", lit(0))
> .withColumn("p1", lit(0))
> .withColumn("p2", lit(6))
> .withColumn("a1", lit(Array[String]("sb1", "rz")))
> .withColumn("a2", lit(Array[String]("sb1", "rz")))
> // bulk_insert df, partition by p,p1,p2
> merge(df, 4, "default", "hive_8b", DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL, op = "bulk_insert")
> step2:
> val df = spark.range(0, 10000).toDF("keyid")
> .withColumn("col3", expr("keyid + 10000000"))
> .withColumn("p", lit(0))
> .withColumn("p1", lit(0))
> .withColumn("p2", lit(7))
> .withColumn("a1", lit(Array[String]("sb1", "rz")))
> .withColumn("a2", lit(Array[String]("sb1", "rz")))
> // upsert table hive8b
> merge(df, 4, "default", "hive_8b", DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL, op = "upsert")
> step3:
> start hive beeline:
> set hive.input.format=org.apache.hudi.hadoop.hive.HoodieCombineHiveInputFormat;
> set hoodie.hive_8b.consume.mode=INCREMENTAL;
> set hoodie.hive_8b.consume.max.commits=3;
> set hoodie.hive_8b.consume.start.timestamp=20210325141300; // this timestamp is smaller the earlist commit, so we can query whole commits
> select `p`, `p1`, `p2`,`keyid` from hive_8b_rt where `_hoodie_commit_time`>'20210325141300'
>
> 2021-03-25 14:14:36,036 | INFO | AsyncDispatcher event handler | Diagnostics report from attempt_1615883368881_0028_m_000000_3: Error: org.apache.hudi.org.apache.avro.SchemaParseException: Illegal character in: p,p1,p2 2021-03-25 14:14:36,036 | INFO | AsyncDispatcher event handler | Diagnostics report from attempt_1615883368881_0028_m_000000_3: Error: org.apache.hudi.org.apache.avro.SchemaParseException: Illegal character in: p,p1,p2 at org.apache.hudi.org.apache.avro.Schema.validateName(Schema.java:1151) at org.apache.hudi.org.apache.avro.Schema.access$200(Schema.java:81) at org.apache.hudi.org.apache.avro.Schema$Field.<init>(Schema.java:403) at org.apache.hudi.org.apache.avro.Schema$Field.<init>(Schema.java:396) at org.apache.hudi.avro.HoodieAvroUtils.appendNullSchemaFields(HoodieAvroUtils.java:268) at org.apache.hudi.hadoop.utils.HoodieRealtimeRecordReaderUtils.addPartitionFields(HoodieRealtimeRecordReaderUtils.java:286) at org.apache.hudi.hadoop.realtime.AbstractRealtimeRecordReader.init(AbstractRealtimeRecordReader.java:98) at org.apache.hudi.hadoop.realtime.AbstractRealtimeRecordReader.<init>(AbstractRealtimeRecordReader.java:67) at org.apache.hudi.hadoop.realtime.RealtimeCompactedRecordReader.<init>(RealtimeCompactedRecordReader.java:53) at org.apache.hudi.hadoop.realtime.HoodieRealtimeRecordReader.constructRecordReader(HoodieRealtimeRecordReader.java:70) at org.apache.hudi.hadoop.realtime.HoodieRealtimeRecordReader.<init>(HoodieRealtimeRecordReader.java:47) at org.apache.hudi.hadoop.realtime.HoodieParquetRealtimeInputFormat.getRecordReader(HoodieParquetRealtimeInputFormat.java:123) at org.apache.hudi.hadoop.hive.HoodieCombineHiveInputFormat$HoodieCombineFileInputFormatShim.getRecordReader(HoodieCombineHiveInputFormat.java:975) at org.apache.hudi.hadoop.hive.HoodieCombineHiveInputFormat.getRecordReader(HoodieCombineHiveInputFormat.java:556) at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.<init>(MapTask.java:175) at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:444) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:349) at org.apache.hadoop.mapred.YarnChild$1.run(YarnChild.java:183) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1761) at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:177)
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)