tao meng created HUDI-1719:
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Summary: hive on spark/mr,Incremental query of the mor table, the
partition field is incorrect
Key: HUDI-1719
URL: https://issues.apache.org/jira/browse/HUDI-1719
Project: Apache Hudi
Issue Type: Bug
Components: Hive Integration
Affects Versions: 0.7.0, 0.8.0
Environment: spark2.4.5, hadoop 3.1.1, hive 3.1.1
Reporter: tao meng
Fix For: 0.9.0
now hudi use HoodieCombineHiveInputFormat to achieve Incremental query of the
mor table.
when we have some small files in different partitions,
HoodieCombineHiveInputFormat will combine those small file readers.
HoodieCombineHiveInputFormat build partition field base on the first file
reader in it, however now HoodieCombineHiveInputFormat holds other file
readers which come from different partitions.
When switching readers, we should update ioctx
test env:
spark2.4.5, hadoop 3.1.1, hive 3.1.1
test step:
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")))
// create hudi table which has three level partitions 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 current table
merge(df, 4, "default", "hive_8b",
DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL, op = "upsert")
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;
select `p`, `p1`, `p2`,`keyid` from hive_8b_rt where
`_hoodie_commit_time`>'20210325141300' and `keyid` < 5;
query result:
+----+-----+-----+--------+
| p | p1 | p2 | keyid |
+----+-----+-----+--------+
| 0 | 0 | 6 | 0 |
| 0 | 0 | 6 | 1 |
| 0 | 0 | 6 | 2 |
| 0 | 0 | 6 | 3 |
| 0 | 0 | 6 | 4 |
| 0 | 0 | 6 | 4 |
| 0 | 0 | 6 | 0 |
| 0 | 0 | 6 | 3 |
| 0 | 0 | 6 | 2 |
| 0 | 0 | 6 | 1 |
+----+-----+-----+--------+
this result is wrong, since the second step we insert new data in table which
p2=7, however in the query result we cannot find p2=7, all p2= 6
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