jiangok2006 edited a comment on issue #1957:
URL: https://github.com/apache/hudi/issues/1957#issuecomment-742662159
I observed slow upsert:
```
val options = HudiOptionFactory.create(tableName = tableName,
tableType = HudiTableType.COW,
recordKeyField = "ulid",
partitonPathField = "",
preCombineField = "sid",
insertDropDups = false,
keyGeneratorType = HudiKeyGeneratorType.Nonpartitioned,
partitionValueExtractorType =
HudiPartitionValueExtractorType.NonPartitioned
)
val helper = HudiHelper(options, log)
/**
* insert perf
*/
val listInfo = spark.createDataFrame(Seq(
(Some(1), Some("11"), Some("111")),
(Some(2), Some("11"), Some("444"))
)).toDF("zid", "sid", "ulid")
var t1 = ZonedDateTime.now
helper.insert(listInfo, path, saveMode = SaveMode.Overwrite)
var t2 = ZonedDateTime.now
// Duration.between(t1, t2).getSeconds is about 5 seconds here
/**
* upsert perf
*/
val listInfo2 = spark.createDataFrame(Seq(
(Some(1), Some("22"), Some("111"))
)).toDF("zid", "sid", "ulid")
t1 = ZonedDateTime.now
helper.upsert(
df = listInfo2,
path = path
)
t2 = ZonedDateTime.now
// Duration.between(t1, t2).getSeconds is about 131 seconds here
```
This discounts the benefit of using upsert to partial update a big dataset.
Thanks for any help.
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