Fault-tolerant execution#

Before you begin:

See the fault-tolerant execution configuration guide to get started with a complete guide on supporting batch queries in Dell Data Analytics Engine, powered by Starburst Enterprise platform (SEP).

By default, if a node lacks the resources to execute a task or otherwise fails during query execution, the query fails and must be run again manually. The longer the runtime of a query, the more likely it is to be susceptible to such failures.

Fault-tolerant execution is a mechanism in SEP that enables a cluster to mitigate query failures by retrying queries or their component tasks in the event of failure. With fault-tolerant execution enabled, intermediate exchange data is spooled and can be re-used by another worker in the event of a worker outage or other fault during query execution.

Note

Fault tolerance does not apply to broken queries or other user error. For example, SEP does not spend resources retrying a query that fails because its SQL cannot be parsed.

All properties described in this page are defined as follows, depending on the deployment type:

Kubernetes: In the additionalProperties section of the the top-level coordinator and worker nodes in the values.yaml file.

Configuration#

Fault-tolerant execution is disabled by default. To enable the feature, set the retry-policy configuration property to either QUERY or TASK depending on the desired retry policy.

retry-policy=QUERY

Warning

Setting retry-policy may cause queries to fail with connectors that do not explicitly support fault-tolerant execution, resulting in a “This connector does not support query retries” error message.

Starburst Warp Speed is not supported on a cluster running in fault-tolerant execution mode.

Support for fault-tolerant execution of SQL statements varies on a per-connector basis, with more details in the documentation for each connector. The following table shows per-connector support for fault-tolerant execution:

Fault-tolerant execution support#
Connector	Query Retry (READ)	Query Retry (WRITE)	Task Retry (READ)	Task Retry (WRITE)
Starburst IBM Db2	Supported	Supported	Supported	Supported
Starburst Kafka	Not supported	Not supported	Supported	Not supported
Starburst Oracle Parallel	Not supported	Not supported	Not supported	Not supported
Starburst SingleStore	Supported	Supported	Supported	Supported
Starburst SingleStore Parallel	Not supported	Not supported	Not supported	Not supported
Starburst Snowflake JDBC	Supported	Supported	Supported	Supported
Starburst Snowflake Parallel	Supported	Supported	Supported	Supported
Starburst SQLServer Parallel	Not supported	Not supported	Not supported	Not supported
Starburst Teradata Direct	Supported	Supported	Not supported	Not supported
Starburst Teradata JDBC	Supported	Supported	Supported	Supported
BigQuery	Supported	Supported	Supported	Supported
DeltaLake	Supported	Supported	Supported	Supported
Hive	Supported	Supported	Supported	Supported
Iceberg	Supported	Supported	Supported	Supported
MongoDB	Supported	Supported	Supported	Supported
MySQL	Supported	Supported	Supported	Supported
Oracle	Supported	Supported	Supported	Supported
Postgres	Supported	Supported	Supported	Supported
Redshift	Supported	Supported	Supported	Supported
SQLServer	Supported	Supported	Supported	Supported

The following configuration properties control the behavior of fault-tolerant execution on a SEP cluster:

Fault-tolerant execution configuration properties#
Property name	Description	Default value
`retry-policy`	Configures what is retried in the event of failure, either `QUERY` to retry the whole query, or `TASK` to retry tasks individually if they fail. See retry policy for more information.	`NONE`
`exchange.deduplication-buffer-size`	Data size of the coordinator’s in-memory buffer used by fault-tolerant execution to store output of query stages. If this buffer is filled during query execution, the query fails with a “Task descriptor storage capacity has been exceeded” error message unless an exchange manager is configured.	`32MB`
`fault-tolerant-execution.exchange-encryption-enabled`	Enable encryption of spooling data, see Encryption for details. Setting this property to false is not recommended if SEP processes sensitive data.	`true`

Find further related properties in Properties reference, specifically in Resource management properties and Exchange properties.

Retry policy#

The retry-policy configuration property designates whether SEP retries entire queries or a query’s individual tasks in the event of failure.

QUERY#

A QUERY retry policy instructs SEP to automatically retry a query in the event of an error occuring on a worker node. A QUERY retry policy is recommended when the majority of the SEP cluster’s workload consists of many small queries.

By default SEP does not implement fault tolerance for queries whose result set exceeds 32MB in size, such as SELECT statements that return a very large data set to the user. This limit can be increased by modifying the exchange.deduplication-buffer-size configuration property to be greater than the default value of 32MB, but this results in higher memory usage on the coordinator.

To enable fault-tolerant execution on queries with a larger result set, it is strongly recommended to configure an exchange manager that utilizes external storage for spooled data and therefore allows for storage of spilled data beyond the in-memory buffer size.

TASK#

A TASK retry policy instructs SEP to retry individual query tasks in the event of failure. You must configure an exchange manager to use the task retry policy. This policy is recommended when executing large batch queries, as the cluster can more efficiently retry smaller tasks within the query rather than retry the whole query.

When a cluster is configured with a TASK retry policy, some relevant configuration properties have their default values changed to follow best practices for a fault-tolerant cluster. However, this automatic change does not affect clusters that have these properties manually configured. If you have any of the following properties configured in the config.properties file on a cluster with a TASK retry policy, it is strongly recommended to make the following changes:

Set the task.low-memory-killer.policy query management property to total-reservation-on-blocked-nodes, or queries may need to be manually killed if the cluster runs out of memory.
Set the query.low-memory-killer.delay query management property to 0s so the cluster immediately unblocks nodes that run out of memory.
Modify the query.remote-task.max-error-duration query management property to adjust how long SEP allows a remote task to try reconnecting before considering it lost and rescheduling.

Note

A TASK retry policy is best suited for large batch queries, but this policy can result in higher latency for short-running queries executed in high volume. As a best practice, it is recommended to run a dedicated cluster with a TASK retry policy for large batch queries, separate from another cluster that handles short queries.

Encryption#

SEP encrypts data before spooling it to storage. This prevents access to query data by anyone besides the SEP cluster that wrote it, including administrators of the storage system. A new encryption key is randomly generated for every exchange with every query, and keys are discarded once a query is completed.

Advanced configuration#

You can further configure fault-tolerant execution with the following configuration properties. The default values for these properties should work for most deployments, but you can change these values for testing or troubleshooting purposes.

Retry limits#

The following configuration properties control the thresholds at which queries/tasks are no longer retried in the event of repeated failures:

Fault tolerance retry limit configuration properties#
Property name	Description	Default value	Retry policy
`query-retry-attempts`	Maximum number of times SEP may attempt to retry a query before declaring the query as failed.	`4`	Only `QUERY`
`task-retry-attempts-per-task`	Maximum number of times SEP may attempt to retry a single task before declaring the query as failed.	`4`	Only `TASK`
`retry-initial-delay`	Minimum time that a failed query or task must wait before it is retried. May be overridden with the `retry_initial_delay` session property.	`10s`	`QUERY` and `TASK`
`retry-max-delay`	Maximum time that a failed query or task must wait before it is retried. Wait time is increased on each subsequent failure. May be overridden with the `retry_max_delay` session property.	`1m`	`QUERY` and `TASK`
`retry-delay-scale-factor`	Factor by which retry delay is increased on each query or task failure. May be overridden with the `retry_delay_scale_factor` session property.	`2.0`	`QUERY` and `TASK`

Task sizing#

With a TASK retry policy, it is important to manage the amount of data processed in each task. If tasks are too small, the management of task coordination can take more processing time and resources than executing the task itself. If tasks are too large, then a single task may require more resources than are available on any one node and therefore prevent the query from completing.

SEP supports limited automatic task sizing. If issues are occurring during fault-tolerant task execution, you can configure the following configuration properties to manually control task sizing. These configuration properties only apply to a TASK retry policy.

Task sizing configuration properties#
Property name	Description	Default value
`fault-tolerant-execution-standard-split-size`	Standard split data size processed by tasks that read data from source tables. Value is interpreted with split weight taken into account. If the weight of splits produced by a catalog denotes that they are lighter or heavier than “standard” split, then the number of splits processed by a single task is adjusted accordingly. May be overridden for the current session with the `fault_tolerant_execution_standard_split_size` session property.	`64MB`
`fault-tolerant-execution-max-task-split-count`	Maximum number of splits processed by a single task. This value is not split weight-adjusted and serves as protection against situations where catalogs report an incorrect split weight. May be overridden for the current session with the `fault_tolerant_execution_max_task_split_count` session property.	`256`
`fault-tolerant-execution-arbitrary-distribution-compute-task-target-size-growth-period`	The number of tasks created for any given non-writer stage of arbitrary distribution before task size is increased.	`64`
`fault-tolerant-execution-arbitrary-distribution-compute-task-target-size-growth-factor`	Growth factor for adaptive sizing of non-writer tasks of arbitrary distribution for fault-tolerant execution. Lower bound is 1.0. For every task size increase, new task target size is old task target size multiplied by this growth factor.	`1.26`
`fault-tolerant-execution-arbitrary-distribution-compute-task-target-size-min`	Initial/minimum target input data size for non-writer tasks of arbitrary distribution of fault-tolerant execution.	`512MB`
`fault-tolerant-execution-arbitrary-distribution-compute-task-target-size-max`	Maximum target input data size for each non-writer task of arbitrary distribution of fault-tolerant execution.	`50GB`
`fault-tolerant-execution-arbitrary-distribution-write-task-target-size-growth-period`	The number of tasks created for any given writer stage of arbitrary distribution before task size is increased.	`64`
`fault-tolerant-execution-arbitrary-distribution-write-task-target-size-growth-factor`	Growth factor for adaptive sizing of writer tasks of arbitrary distribution for fault-tolerant execution. Lower bound is 1.0. For every task size increase, new task target size is old task target size multiplied by this growth factor.	`1.26`
`fault-tolerant-execution-arbitrary-distribution-write-task-target-size-min`	Initial/minimum target input data size for writer tasks of arbitrary distribution of fault-tolerant execution.	`4GB`
`fault-tolerant-execution-arbitrary-distribution-write-task-target-size-max`	Maximum target input data size for writer tasks of arbitrary distribution of fault-tolerant execution.	`50GB`
`fault-tolerant-execution-hash-distribution-compute-task-target-size`	Target input data size for non-writer tasks of hash distribution of fault-tolerant execution.	`512MB`
`fault-tolerant-execution-hash-distribution-write-task-target-size`	Target input data size of writer tasks of hash distribution of fault-tolerant execution.	`4GB`
`fault-tolerant-execution-hash-distribution-write-task-target-max-count`	Soft upper bound on number of writer tasks in a stage of hash distribution of fault-tolerant execution.	`2000`

Node allocation#

With a TASK retry policy, nodes are allocated to tasks based on available memory and estimated memory usage. If task failure occurs due to exceeding available memory on a node, the task is restarted with a request to allocate the full node for its execution.

The initial task memory-requirements estimation is static and configured with the fault-tolerant-task-memory configuration property. This property only applies to a TASK retry policy.

Node allocation configuration properties#
Property name	Description	Default value
`fault-tolerant-execution-task-memory`	Initial task memory data size estimation used for bin-packing when allocating nodes for tasks. May be overridden for the current session with the `fault_tolerant_execution_task_memory` session property.	`5GB`

Other tuning#

The following additional configuration property can be used to manage fault-tolerant execution:

Other fault-tolerant execution configuration properties#
Property name	Description	Default value	Retry policy
`fault-tolerant-execution-task-descriptor-storage-max-memory`	Maximum data size of memory to be used to store task descriptors for fault tolerant queries on coordinator. Extra memory is needed to be able to reschedule tasks in case of a failure.	(JVM heap size * 0.15)	Only `TASK`
`fault-tolerant-execution-max-partition-count`	Maximum number of partitions to use for distributed joins and aggregations, similar in function to the `query.max-hash-partition-count` query management property. It is not recommended to increase this property value above the default of `50`, which may result in instability and poor performance. May be overridden for the current session with the `fault_tolerant_execution_max_partition_count` session property.	`50`	Only `TASK`
`fault-tolerant-execution-min-partition-count`	Minimum number of partitions to use for distributed joins and aggregations, similar in function to the `query.min-hash-partition-count` query management property. May be overridden for the current session with the `fault_tolerant_execution_min_partition_count` session property.	`4`	Only `TASK`
`fault-tolerant-execution-min-partition-count-for-write`	Minimum number of partitions to use for distributed joins and aggregations in write queries, similar in function to the `query.min-hash-partition-count-for-write` query management property. May be overridden for the current session with the `fault_tolerant_execution_min_partition_count_for_write` session property.	`50`	Only `TASK`
`max-tasks-waiting-for-node-per-stage`	Allow for up to configured number of tasks to wait for node allocation per stage, before pausing scheduling for other tasks from this stage.	5	Only `TASK`

Exchange manager#

Exchange spooling is responsible for storing and managing spooled data for fault-tolerant execution. You can configure a filesystem-based exchange manager that stores spooled data in a specified location, such as AWS S3 and S3-compatible systems, Azure Blob Storage, Google Cloud Storage, or HDFS.

Configuration#

To configure an exchange manager, create a new etc/exchange-manager.properties configuration file on the coordinator and all worker nodes. In this file, set the exchange-manager.name configuration property to filesystem or hdfs, and set additional configuration properties as needed for your storage solution.

The following table lists the available configuration properties for exchange-manager.properties, their default values, and which filesystem(s) the property may be configured for:

Exchange manager configuration properties#
Property name	Description	Default value	Supported filesystem
`exchange.base-directories`	Comma-separated list of URI locations that the exchange manager uses to store spooling data.		Any
`exchange.sink-buffer-pool-min-size`	The minimum buffer pool size for an exchange sink. The larger the buffer pool size, the larger the write parallelism and memory usage.	`10`	Any
`exchange.sink-buffers-per-partition`	The number of buffers per partition in the buffer pool. The larger the buffer pool size, the larger the write parallelism and memory usage.	`2`	Any
`exchange.sink-max-file-size`	Max data size of files written by exchange sinks.	`1GB`	Any
`exchange.source-concurrent-readers`	Number of concurrent readers to read from spooling storage. The larger the number of concurrent readers, the larger the read parallelism and memory usage.	`4`	Any
`exchange.s3.aws-access-key`	AWS access key to use. Required for a connection to AWS S3 and GCS, can be ignored for other S3 storage systems.		AWS S3, GCS
`exchange.s3.aws-secret-key`	AWS secret key to use. Required for a connection to AWS S3 and GCS, can be ignored for other S3 storage systems.		AWS S3, GCS
`exchange.s3.iam-role`	IAM role to assume.		AWS S3, GCS
`exchange.s3.external-id`	External ID for the IAM role trust policy.		AWS S3, GCS
`exchange.s3.region`	Region of the S3 bucket.		AWS S3, GCS
`exchange.s3.endpoint`	S3 storage endpoint server if using an S3-compatible storage system that is not AWS. If using AWS S3, this can be ignored unless HTTPS is required by an AWS bucket policy. If TLS is required, then this property can be set to an https endpoint such as `https://s3.us-east-1.amazonaws.com`. Note that TLS is redundant due to automatic encryption. If using GCS, set it		Any S3-compatible storage
`exchange.s3.max-error-retries`	Maximum number of times the exchange manager’s S3 client should retry a request.	`10`	Any S3-compatible storage
`exchange.s3.path-style-access`	Enables using path-style access for all requests to S3.	`false`	Any S3-compatible storage
`exchange.s3.upload.part-size`	Part data size for S3 multi-part upload.	`5MB`	Any S3-compatible storage
`exchange.gcs.json-key-file-path`	Path to the JSON file that contains your Google Cloud Platform service account key. Not to be set together with `exchange.gcs.json-key`		GCS
`exchange.gcs.json-key`	Your Google Cloud Platform service account key in JSON format. Not to be set together with `exchange.gcs.json-key-file-path`		GCS
`exchange.azure.connection-string`	Connection string used to access the spooling container.		Azure Blob Storage
`exchange.azure.block-size`	Block data size for Azure block blob parallel upload.	`4MB`	Azure Blob Storage
`exchange.azure.max-error-retries`	Maximum number of times the exchange manager’s Azure client should retry a request.	`10`	Azure Blob Storage
`exchange.hdfs.block-size`	Block data size for HDFS storage.	`4MB`	HDFS
`hdfs.config.resources`	Comma-separated list of paths to HDFS configuration files, for example `/etc/hdfs-site.xml`. The files must exist on all nodes in the SEP cluster.		HDFS

It is recommended to set the exchange.compression-codec property to LZ4 in the cluster’s config.properties file, to reduce the exchange manager’s overall I/O load. It is also recommended to configure a bucket lifecycle rule to automatically expire abandoned objects in the event of a node crash.

AWS S3#

The following example exchange-manager.properties configuration specifies an AWS S3 bucket as the spooling storage destination. Note that the destination does not have to be in AWS, but can be any S3-compatible storage system.

exchange-manager.name=filesystem
exchange.base-directories=s3://exchange-spooling-bucket
exchange.s3.region=us-west-1
exchange.s3.aws-access-key=example-access-key
exchange.s3.aws-secret-key=example-secret-key

You can configure multiple S3 buckets for the exchange manager to distribute spooled data across buckets, reducing the I/O load on any one bucket. If a query fails with the error message “software.amazon.awssdk.services.s3.model.S3Exception: Please reduce your request rate”, this indicates that the workload is I/O intensive, and you should specify multiple S3 buckets in exchange.base-directories to balance the load:

exchange.base-directories=s3://exchange-spooling-bucket-1,s3://exchange-spooling-bucket-2

Azure Blob Storage#

The following example exchange-manager.properties configuration specifies an Azure Blob Storage container as the spooling storage destination. You must use Azure Blob Storage, not Azure Data Lake Storage or any other hierarchical storage option in Azure.

exchange-manager.name=filesystem
exchange.base-directories=abfs://container_name@account_name.dfs.core.windows.net
exchange.azure.connection-string=connection-string

Google Cloud Storage#

To enable exchange spooling on GCS in SEP, change the request endpoint to the https://storage.googleapis.com Google storage URI, and configure your AWS access/secret keys to use the GCS HMAC keys. If you deploy SEP on GCP, you must either create a service account with access to your spooling bucket or configure the key path to your GCS credential file.

For more information on GCS’s S3 compatibility, refer to the Google Cloud documentation on S3 migration.

The following example exchange-manager.properties configuration specifies a GCS bucket as the spooling storage destination.

exchange-manager.name=filesystem
exchange.base-directories=gs://exchange-spooling-bucket
exchange.s3.region=us-west-1
exchange.s3.aws-access-key=example-access-key
exchange.s3.aws-secret-key=example-secret-key
exchange.s3.endpoint=https://storage.googleapis.com
exchange.gcs.json-key-file-path=/path/to/gcs_keyfile.json

HDFS#

The following exchange-manager.properties configuration example specifies HDFS as the spooling storage destination.

exchange-manager.name=hdfs
exchange.base-directories=hadoop-master:9000/exchange-spooling-directory
hdfs.config.resources=/usr/lib/hadoop/etc/hadoop/core-site.xml

Local filesystem storage#

The following example exchange-manager.properties configuration specifies a local directory, /tmp/trino-exchange-manager, as the spooling storage destination.

Note

It is only recommended to use a local filesystem for exchange in standalone, non-production clusters. A local directory can only be used for exchange in a distributed cluster if the exchange directory is shared and accessible from all worker nodes.

exchange-manager.name=filesystem
exchange.base-directories=/tmp/trino-exchange-manager