Autoloader: How to identify the backlog in RocksDB

[User16869510359]

With S3-SQS it was easier to identify the backlog ( the messages that are fetched from SQS and not consumed by the streaming job)

How to find the same with Auto-loader

[User16869510359]

For DBR versions prior to 8.2 use the below code snippet:

import org.rocksdb.Options
import org.apache.hadoop.fs.Path
import com.databricks.sql.rocksdb.{CloudRocksDB, PutLogEntry}
val rocksdbPath: String = new Path("/tmp/hari/streaming/auto_loader2/sources/0/", "rocksdb").toString
val rocksDBOptions = new Options()
  rocksDBOptions
    .setCreateIfMissing(true)
    .setMaxTotalWalSize(Long.MaxValue)
    .setWalTtlSeconds(Long.MaxValue)
    .setWalSizeLimitMB(Long.MaxValue)
val rocksDB = CloudRocksDB.open(
    rocksdbPath,
    hadoopConf = spark.sessionState.newHadoopConf(),
    dbOptions = rocksDBOptions,
    opTypePrefix = "autoIngest")
println("Latest offset in RocksDB:" + rocksDB.latestDurableSequenceNumber) 
println("Number of files to be processed " + rocksDB.latestDurableSequenceNumber - latestSeqFromQueryProgression)

[User16869510359 · Accepted solution]

For DBR 8.2 or later, the backlog details are captured in the Streaming metrics

Eg: