Configurations

Configuration #

CoreOptions #

Core options for table store.

Key Default Type Description
auto-create
 false Boolean Whether to create underlying storage when reading and writing the table.
bucket
 1 Integer Bucket number for file store.
bucket-key
 (none) String Specify the table store distribution policy. Data is assigned to each bucket according to the hash value of bucket-key.
If you specify multiple fields, delimiter is ','.
If not specified, the primary key will be used; if there is no primary key, the full row will be used.
changelog-producer
 none

Enum

 Whether to double write to a changelog file. This changelog file keeps the details of data changes, it can be read directly during stream reads.

Possible values:
  • "none": No changelog file.
  • "input": Double write to a changelog file when flushing memory table, the changelog is from input.
  • "full-compaction": Generate changelog files with each full compaction.
changelog-producer.compaction-interval
 30 min Duration When changelog-producer is set to FULL_COMPACTION, full compaction will be constantly triggered after this interval.
commit.force-compact
 false Boolean Whether to force a compaction before commit.
compaction.early-max.file-num
 50 Integer For file set [f_0,...,f_N], the maximum file number to trigger a compaction for append-only table, even if sum(size(f_i)) < targetFileSize. This value avoids pending too much small files, which slows down the performance.
compaction.max-size-amplification-percent
 200 Integer The size amplification is defined as the amount (in percentage) of additional storage needed to store a single byte of data in the merge tree for changelog mode table.
compaction.max-sorted-run-num
 2147483647 Integer The maximum sorted run number to pick for compaction. This value avoids merging too much sorted runs at the same time during compaction, which may lead to OutOfMemoryError.
compaction.min.file-num
 5 Integer For file set [f_0,...,f_N], the minimum file number which satisfies sum(size(f_i)) >= targetFileSize to trigger a compaction for append-only table. This value avoids almost-full-file to be compacted, which is not cost-effective.
compaction.size-ratio
 1 Integer Percentage flexibility while comparing sorted run size for changelog mode table. If the candidate sorted run(s) size is 1% smaller than the next sorted run's size, then include next sorted run into this candidate set.
continuous.discovery-interval
 1 s Duration The discovery interval of continuous reading.
file.format
 "orc" String Specify the message format of data files.
local-sort.max-num-file-handles
 128 Integer The maximal fan-in for external merge sort. It limits the number of file handles. If it is too small, may cause intermediate merging. But if it is too large, it will cause too many files opened at the same time, consume memory and lead to random reading.
log.changelog-mode
 auto

Enum

 Specify the log changelog mode for table.

Possible values:
  • "auto": Upsert for table with primary key, all for table without primary key.
  • "all": The log system stores all changes including UPDATE_BEFORE.
  • "upsert": The log system does not store the UPDATE_BEFORE changes, the log consumed job will automatically add the normalized node, relying on the state to generate the required update_before.
log.consistency
 transactional

Enum

 Specify the log consistency mode for table.

Possible values:
  • "transactional": Only the data after the checkpoint can be seen by readers, the latency depends on checkpoint interval.
  • "eventual": Immediate data visibility, you may see some intermediate states, but eventually the right results will be produced, only works for table with primary key.
log.format
 "debezium-json" String Specify the message format of log system.
log.key.format
 "json" String Specify the key message format of log system with primary key.
log.retention
 (none) Duration It means how long changes log will be kept. The default value is from the log system cluster.
log.scan.remove-normalize
 false Boolean Whether to force the removal of the normalize node when streaming read. Note: This is dangerous and is likely to cause data errors if downstream is used to calculate aggregation and the input is not complete changelog.
manifest.format
 "avro" String Specify the message format of manifest files.
manifest.merge-min-count
 30 Integer To avoid frequent manifest merges, this parameter specifies the minimum number of ManifestFileMeta to merge.
manifest.target-file-size
 8 mb MemorySize Suggested file size of a manifest file.
merge-engine
 deduplicate

Enum

 Specify the merge engine for table with primary key.

Possible values:
  • "deduplicate": De-duplicate and keep the last row.
  • "partial-update": Partial update non-null fields.
  • "aggregation": Aggregate fields with same primary key.
num-levels
 (none) Integer Total level number, for example, there are 3 levels, including 0,1,2 levels.
num-sorted-run.compaction-trigger
 5 Integer The sorted run number to trigger compaction. Includes level0 files (one file one sorted run) and high-level runs (one level one sorted run).
num-sorted-run.stop-trigger
 (none) Integer The number of sorted runs that trigger the stopping of writes, the default value is 'num-sorted-run.compaction-trigger' + 1.
page-size
 64 kb MemorySize Memory page size.
partial-update.ignore-delete
 false Boolean Whether to ignore delete records in partial-update mode.
partition.default-name
 "__DEFAULT_PARTITION__" String The default partition name in case the dynamic partition column value is null/empty string.
partition.expiration-check-interval
 1 h Duration The check interval of partition expiration.
partition.expiration-time
 (none) Duration The expiration interval of a partition. A partition will be expired if it‘s lifetime is over this value. Partition time is extracted from the partition value.
partition.timestamp-formatter
 (none) String The formatter to format timestamp from string. It can be used with 'partition.timestamp-pattern' to create a formatter using the specified value.
  • Default formatter is 'yyyy-MM-dd HH:mm:ss' and 'yyyy-MM-dd'.
  • Supports multiple partition fields like '$year-$month-$day $hour:00:00'.
  • The timestamp-formatter is compatible with Java's DateTimeFormatter.
partition.timestamp-pattern
 (none) String You can specify a pattern to get a timestamp from partitions. The formatter pattern is defined by 'partition.timestamp-formatter'.
  • By default, read from the first field.
  • If the timestamp in the partition is a single field called 'dt', you can use '$dt'.
  • If it is spread across multiple fields for year, month, day, and hour, you can use '$year-$month-$day $hour:00:00'.
  • If the timestamp is in fields dt and hour, you can use '$dt $hour:00:00'.
scan.mode
 default

Enum

 Specify the scanning behavior of the source.

Possible values:
  • "default": Determines actual startup mode according to other table properties. If "scan.timestamp-millis" is set the actual startup mode will be "from-timestamp", and if "scan.snapshot-id" is set the actual startup mode will be "from-snapshot". Otherwise the actual startup mode will be "latest-full".
  • "latest-full": For streaming sources, produces the latest snapshot on the table upon first startup, and continue to read the latest changes. For batch sources, just produce the latest snapshot but does not read new changes.
  • "full": Deprecated. Same as "latest-full".
  • "latest": For streaming sources, continuously reads latest changes without producing a snapshot at the beginning. For batch sources, behaves the same as the "latest-full" startup mode.
  • "compacted-full": For streaming sources, produces a snapshot after the latest compaction on the table upon first startup, and continue to read the latest changes. For batch sources, just produce a snapshot after the latest compaction but does not read new changes.
  • "from-timestamp": For streaming sources, continuously reads changes starting from timestamp specified by "scan.timestamp-millis", without producing a snapshot at the beginning. For batch sources, produces a snapshot at timestamp specified by "scan.timestamp-millis" but does not read new changes.
  • "from-snapshot": For streaming sources, continuously reads changes starting from snapshot specified by "scan.snapshot-id", without producing a snapshot at the beginning. For batch sources, produces a snapshot specified by "scan.snapshot-id" but does not read new changes.
scan.plan-sort-partition
 false Boolean Whether to sort plan files by partition fields, this allows you to read according to the partition order, even if your partition writes are out of order.
It is recommended that you use this for streaming read of the 'append-only' table. By default, streaming read will read the full snapshot first. In order to avoid the disorder reading for partitions, you can open this option.
scan.snapshot-id
 (none) Long Optional snapshot id used in case of "from-snapshot" scan mode
scan.timestamp-millis
 (none) Long Optional timestamp used in case of "from-timestamp" scan mode.
sequence.field
 (none) String The field that generates the sequence number for primary key table, the sequence number determines which data is the most recent.
snapshot.num-retained.max
 2147483647 Integer The maximum number of completed snapshots to retain.
snapshot.num-retained.min
 10 Integer The minimum number of completed snapshots to retain.
snapshot.time-retained
 1 h Duration The maximum time of completed snapshots to retain.
source.split.open-file-cost
 4 mb MemorySize Open file cost of a source file. It is used to avoid reading too many files with a source split, which can be very slow.
source.split.target-size
 128 mb MemorySize Target size of a source split when scanning a bucket.
target-file-size
 128 mb MemorySize Target size of a file.
write-buffer-size
 256 mb MemorySize Amount of data to build up in memory before converting to a sorted on-disk file.
write-buffer-spillable
 (none) Boolean Whether the write buffer can be spillable. Enabled by default when using object storage.
write-mode
 change-log

Enum

 Specify the write mode for table.

Possible values:
  • "append-only": The table can only accept append-only insert operations. Neither data deduplication nor any primary key constraints will be done when inserting rows into table store.
  • "change-log": The table can accept insert/delete/update operations.
write-only
 false Boolean If set to true, compactions and snapshot expiration will be skipped. This option is used along with dedicated compact jobs.

CatalogOptions #

Options for table store catalog.

Key Default Type Description
lock-acquire-timeout
 8 min Duration The maximum time to wait for acquiring the lock.
lock-check-max-sleep
 8 s Duration The maximum sleep time when retrying to check the lock.
lock.enabled
 false Boolean Enable Catalog Lock.
metastore
 "filesystem" String Metastore of table store catalog, supports filesystem and hive.
table.type
 MANAGED_TABLE

Enum

 Type of table.

Possible values:
  • "MANAGED_TABLE": Table Store owned table where the entire lifecycle of the table data is managed.
  • "EXTERNAL_TABLE": The table where Table Store has loose coupling with the data stored in external locations.
uri
 (none) String Uri of metastore server.
warehouse
 (none) String The warehouse root path of catalog.

FlinkConnectorOptions #

Flink connector options for table store.

Key Default Type Description
log.system
 "none" String The log system used to keep changes of the table.

Possible values:
  • "none": No log system, the data is written only to file store, and the streaming read will be directly read from the file store.
  • "kafka": Kafka log system, the data is double written to file store and kafka, and the streaming read will be read from kafka.
scan.parallelism
 (none) Integer Define a custom parallelism for the scan source. By default, if this option is not defined, the planner will derive the parallelism for each statement individually by also considering the global configuration.
sink.parallelism
 (none) Integer Defines a custom parallelism for the sink. By default, if this option is not defined, the planner will derive the parallelism for each statement individually by also considering the global configuration.