vinothchandar commented on code in PR #6098:
URL: https://github.com/apache/hudi/pull/6098#discussion_r928368463
##########
hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieStreamingSink.scala:
##########
@@ -48,12 +50,24 @@ class HoodieStreamingSink(sqlContext: SQLContext,
private val log = LogManager.getLogger(classOf[HoodieStreamingSink])
- private val retryCnt =
options.getOrDefault(DataSourceWriteOptions.STREAMING_RETRY_CNT.key,
- DataSourceWriteOptions.STREAMING_RETRY_CNT.defaultValue).toInt
- private val retryIntervalMs =
options.getOrDefault(DataSourceWriteOptions.STREAMING_RETRY_INTERVAL_MS.key,
- DataSourceWriteOptions.STREAMING_RETRY_INTERVAL_MS.defaultValue).toLong
- private val ignoreFailedBatch =
options.getOrDefault(DataSourceWriteOptions.STREAMING_IGNORE_FAILED_BATCH.key,
-
DataSourceWriteOptions.STREAMING_IGNORE_FAILED_BATCH.defaultValue).toBoolean
+ private val tablePath = new Path(options.getOrElse("path", "Missing 'path'
option"))
+ private var metaClient: Option[HoodieTableMetaClient] = {
+ try {
+
Some(HoodieTableMetaClient.builder().setConf(sqlContext.sparkContext.hadoopConfiguration).setBasePath(tablePath.toString).build())
+ } catch {
+ case _: TableNotFoundException =>
+ log.warn("Ignore TableNotFoundException as it is first microbatch.")
+ Option.empty
+ }
+ }
+ private val retryCnt = options.getOrDefault(STREAMING_RETRY_CNT.key,
+ STREAMING_RETRY_CNT.defaultValue).toInt
+ private val retryIntervalMs =
options.getOrDefault(STREAMING_RETRY_INTERVAL_MS.key,
+ STREAMING_RETRY_INTERVAL_MS.defaultValue).toLong
+ private val ignoreFailedBatch =
options.getOrDefault(STREAMING_IGNORE_FAILED_BATCH.key,
+ STREAMING_IGNORE_FAILED_BATCH.defaultValue).toBoolean
+ // This constant serves as the checkpoint key for streaming sink so that
each microbatch is processed exactly-once.
+ private val SinkCheckpointKey = "_streaming_sink_checkpoint"
Review Comment:
Add a " _ hudi " prefixto the key?
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