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[HUDI-1873] collect() call causing issues with very large upserts (#2907)

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Co-authored-by: Sivabalan Narayanan <sivabala@uber.com>
This commit is contained in:
mpouttu
2021-05-23 22:29:01 -07:00
committed by GitHub
parent 6539813733
commit 369a849337
1 changed files with 5 additions and 6 deletions
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11
hudi-spark-datasource/hudi-spark/src/main/scala/org/apache/hudi/HoodieSparkSqlWriter.scala
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@@ -540,9 +540,8 @@ private[hudi] object HoodieSparkSqlWriter {
jsc: JavaSparkContext,
tableInstantInfo: TableInstantInfo
): (Boolean, common.util.Option[java.lang.String]) = {
val errorCount = writeResult.getWriteStatuses.rdd.filter(ws => ws.hasErrors).count()
if (errorCount == 0) {
log.info("No errors. Proceeding to commit the write.")
if(writeResult.getWriteStatuses.rdd.filter(ws => ws.hasErrors).isEmpty()) {
log.info("Proceeding to commit the write.")
val metaMap = parameters.filter(kv =>
kv._1.startsWith(parameters(COMMIT_METADATA_KEYPREFIX_OPT_KEY)))
val commitSuccess =
@@ -559,7 +558,7 @@ private[hudi] object HoodieSparkSqlWriter {
}
val asyncCompactionEnabled = isAsyncCompactionEnabled(client, tableConfig, parameters, jsc.hadoopConfiguration())
val compactionInstant : common.util.Option[java.lang.String] =
val compactionInstant: common.util.Option[java.lang.String] =
if (asyncCompactionEnabled) {
client.scheduleCompaction(common.util.Option.of(new util.HashMap[String, String](mapAsJavaMap(metaMap))))
} else {
@@ -568,7 +567,7 @@ private[hudi] object HoodieSparkSqlWriter {
log.info(s"Compaction Scheduled is $compactionInstant")
val metaSyncSuccess = metaSync(spark, parameters, tableInstantInfo.basePath, schema)
val metaSyncSuccess = metaSync(spark, parameters, tableInstantInfo.basePath, schema)
log.info(s"Is Async Compaction Enabled ? $asyncCompactionEnabled")
if (!asyncCompactionEnabled) {
@@ -576,7 +575,7 @@ private[hudi] object HoodieSparkSqlWriter {
}
(commitSuccess && metaSyncSuccess, compactionInstant)
} else {
log.error(s"${tableInstantInfo.operation} failed with $errorCount errors :")
log.error(s"${tableInstantInfo.operation} failed with errors")
if (log.isTraceEnabled) {
log.trace("Printing out the top 100 errors")
writeResult.getWriteStatuses.rdd.filter(ws => ws.hasErrors)