- Added --accept_licenses flag. User have to turn this flag on to acknowledge that PKB may install software thereby accepting license agreements on the user's behalf.
- Renamed Database-related flags from managed_db* to db* Added alias for backwards compatibility, might not be supported in the future release.
- Require Python 3.9+
- The core_os os_type was removed from the Azure provider as
the image was deleted,
- It will be replaced by Fedora Core OS if a public image is made available.
- The
dpb_sparksql_benchmark
now requires passing the requested queries with--dpb_sparksql_query_order
- AwsVirtualMachine.IMAGE_OWNER has been changed from a string to a list of strings to support images which have multiple owners e.g. AmazonLinux2 in opt-in regions.
- Remove Ubuntu1710 from
--os_types
. - Remove Amazon Linux 1 from
--os_types
. - Changed redis_memtier_benchmark to use redis version 6 and above. Redis versions less than 6 are no longer supported.
- Compressed redis_memtier samples from
--memtier_time_series
into a few time-to-value dictionaries, greatly reducing the number of samples produced - Make Ubuntu 18 the default os_type.
- Deprecate Ubuntu 16 as it is EOL on 2021-05-01.
- Switch to Azure CLI to MSAL. This requires updating the CLI to >= 2.30.0.
- Remove deprecated
--eks_zones
flags. Use--zones
instead. - Deprecate CentOS Linux 8 as it is EOL on 2021-12-31.
--zones
and--extra_zones
deprecated in favor of--zone
.- Deprecate Aerospike_YCSB benchmark.
- Remove pkb's --placement_group_style cloud-agnostic values 'cluster'/ 'cluster_if_supported'/'spread'/'spread_if_supported'.
- Replace flag --ibm_azone with --ibm_region.
- Changed the default benchmark to
cluster_boot
instead of the standard set. This makes the default behavior for PKB much faster and the standard set of benchmarks was defined many years ago. It's not a reasonable introduction to PKB or something that most people should run by default. - --dpb_export_job_stats is now False by default.
- Validate arguments to IssueCommand & RobustRemoteCommand. Replaced force_info_log & suppress_warning parameters with vm_command_log_mode flag, added should_pre_log parameter. Passed stacklevel variable to logging to better distinguish between RemoteCommand call sites. See stacklevel docs: https://docs.python.org/3/library/logging.html#logging.Logger.debug
- Remove Dataflow parameter --maxNumWorkers by default and add dataflow_max_worker_count in spec to allow users to set this parameter on their own.
- Remove flag fio_write_against_multiple_clients from FIO.
- Remove flag benchmark_compatibility_checking.
- Drop windows coremark benchmark.
- Remove cudnn linux package.
- Make Ubuntu 20 the default os_type.
- Default
--ip_addresses
toINTERNAL
. - Add multichase_benchmark flag defaults.
- For hammerdbcli_benchmark, set default num_warehouses=25num_cpus and num_vu=2num_cpus.
- Remove old
spark_benchmark
andhadoop_terasort_benchmark
and related services. Prefer to use the newerdpb_generic_benchmark
anddpb_terasort_benchmark
. - gcp/aws/azure_provisioned_iops/throughput flags are unified to provisioned_iops/throughput flags.
- aws_dynamodb_ycsb benchmark now requires an explicit
--aws_dynamodb_ycsb_cli_profile
flag to select the credentials to talk to YCSB. - Benchmarks that require EC2 client VMs now require
--aws_ec2_instance_profile
to configure VM permissions instead of installing local AWS CLI credentials via aws_credentials.py. This must be set up by the user beforehand. See AWS documentation- Alternatively for EKS benchmarking, clusters require --aws_eks_pod_identity_role for Kubernetes VMs inside the cluster calling APIs. The role must be set up by the user beforehand. See AWS documentation
- Split
--azure_preprovisioned_data_bucket
into--azure_preprovisioned_data_account
and--azure_preprovisioned_data_subscription
, which allows cross-subscription access. - Remove Rocky Linux on Azure.
- Changed supported Python version to 3.11.
- Deprecate CentOS Linux 7 as it is EOL on 2024-06-30.
- Remove EOL CentOS 8 and CentOS Stream 8.
- Add a python dependency on google-cloud-aiplatform & google-cloud-core, needed for benchmarking Vertex AI.
- Remove EOL CentOS 7 and RHEL 7.
- Remove EOL Debian 9 and 10.
- Remove EOL Ubuntu 16, 18, and 23.10.
- Remove Broken Juju and Ubuntu Container OS types.
- Remove support for installing Python 2 in VMs.
- Make Ubuntu 24 the default os_type.
- Add support for TimescaleDB
- Add support for Omni
- Add support for systems running fedora36 and fedora37
- Add support for AlloyDB on GCP
- Add support for static systems running debian11
- Add ibmcloud as a new provider.
- Add prefix/directory support for object storage service runs.
- Add MaskRCNN and ReXtNet-101 to the horovod benchmark.
- Add Bigtable Benchmarking tutorial.
- Add ycsb_skip_run_stage argument.
- Move PKB static website files from gh-pages branch to master branch.
- Add UDP benchmarking to iPerf.
- Add ability to use Intel package repos.
- Add Ubuntu 20.04 to AWS, Azure, and GCP providers.
- Add support for running DPB Apache Spark benchmarks on PKB provisioned VMs
- Add support for AWS gp3 disks.
- Add ability to use Intel compiled HPCC binaries with --hpcc_use_intel_compiled_hpl
- Add OSU MPI micro-benchmarks benchmark
- Add support for setting virtual NIC type for GCP VMs.
- Add ability to collect /proc/meminfo data with --collect_meminfo
- Add support for setting egress bandwidth tier for GCP VMs.
- Add support for Azure Ultra Disk
- Add
cloudharmony_network
benchmark - Add GPU PingPong benchmark.
- Added lmod linux package.
- Support IntelMPI 2021.x on RedHat.
- Add TensorFlow BigQuery Connector benchmark.
- Add gcsfuse benchmark.
- Add MLPerf multiworker benchmark based on NVIDIA's v0.6 submission
- Add retries to PKB.
- Added GCE networking MTU support with --mtu.
- Add pd extreme support to PKB.
- Add '--delete_samples' to measure VM deletion during benchmark teardown phase
- Add cloudharmony iperf benchmark to pkb.
- Add specjbb2015 benchmark to PKB.
- Add VM stop start benchmark.
- Add suspend_resume benchmark.
- Add AWS support for VM stop start benchmark.
- Add Azure support for VM stop start benchmark.
- Add
--os_type=debian11
support for GCP, AWS and Azure Providers. - Add cURL benchmark for object storage.
- Add vbench video encoding benchmark to PKB.
- Add Kubernetes based DPB Service for Spark
- Add support for creating Dataproc cluster on GKE
- Add support for TPC-DS/H benchmarks on Dataproc Serverless.
- Add support for TPC-DS/H benchmarks on AWS Glue Job.
- Add messaging service latency benchmark (for GCP PubSub, AWS SQS & Azure Service Bus).
- Add Intel perfspect as a new trace
- Add Ubuntu 22.04 support for GCP, AWS, and Azure Providers.
- Add support for Rocky Linux 8 and 9 on GCP, AWS, and Azure Providers.
- Add support for CentOS Stream 8, CentOS Stream 9 on GCP and AWS Providers.
- Add support for chbench using s64da.
- Add sysbench_memory benchmark.
- Add support for RHEL 9 on AWS, Azure, and GCP.
- Add GCP optimized Rocky Linux 8 and 9 OSes.
- Add mtu to os_metadata in linux_virtual_machine.
- Add support for TPC-DS/H benchmarks on AWS EMR Serverless.
- Add Intel MPI benchmark.
- Add support for Azure ARM VMs.
- Add an HTTP endpoint polling utility & incorporate it into app_service.
- Added support for dynamic provisioning of Bigquery flat rate slots at benchmark runtime
- Create a new subdirectory of linux_benchmarks called provisioning_benchmarks
for benchmarking lifecycle management timings of cloud resources. Including:
- Kubernetes Clusters
- KMS cryptographic keys
- Object storage buckets
- Add support for using the hbase2 binding in the Cloud Bigtable YCSB benchmark.
- Add iPerf interval reporting.
- Add support for DynamoDB on demand instances.
- Add support for Debian 10 & 11 with backported kernels on AWS.
- Add fio_netperf benchmark, which executes the run stages of fio and netperf benchmarks in parallel using the first 2 VM's in benchmark_spec.
- Add Google Kubernetes Engine based DPB service to run flink benchmarks.
- Add support for Amazon Linux 2023.
- Add support for multi-network creation/attachment. PKB currently does not handle subnet creation on an existing network.
- Add support for GCE Confidential VM's.
- Add cos-dev, cos117, cos113, cos109, and cos105 OS support for GCP.
- Add --object_ttl_days flag for lifecycle management of created buckets.
- Add support for multi-NIC netperf throughput on AWS.
- Added AWS/GCP support for Data Plane Development Kit (DPDK) on Linux VM's to improve networking performance, as well as a DPDK benchmark for testpmd.
- Add --dpb_hardware_hourly_cost and --dpb_service_premium_hourly_cost to
- Add support for Spanner Postgres benchmarking with TPCC. estimate cost of DPB service in benchmark runs.
- Add --dpb_dynamic_allocation flag to disable dynamic allocation in Spark benchmarks.
- Add support for benchmarking VMs with Local SSD on Windows on GCE/AWS/Azure.
- Add support for Debian 12.
- Add netperf_hammerdbcli benchmark, which executes netperf and hammerdbcli benchmarks in parallel.
- Add default_benchmark_config.yaml and merge it with user_config. This is done before config overrides. Within default_benchmark_config.yaml, add configs for netperf_tcp_rr, netperf_tcp_stream, and hammerdbcli_mysql.
- Add support for Ubuntu 23.10.
- HammerDB enables "Use All Warehouses" by default for increased I/O.
- Add Ubuntu 24.04 support for GCP, AWS, and Azure Providers.
- Add keydb_memtier_benchmark (KeyDB is a fork of Redis).
- Add
--skip_teardown_conditions
flag, offering the option to keep resources alive if any metrics satisfy the criteria passed into the flag. - Add unmanaged_mysql_sysbench benchmark.
- Refactor nginx_benchmark to use reverse_proxy or api_gateway configurations.
- Add support for simple Vertex AI & AWS Sagemaker managed models.
- Add new pressure_stall trace.
- Add
--skip_teardown_on_command_timeout
flag to skip teardown if the failure substatus is COMMAND_TIMEOUT. - Use Artifact Registry instead of the deprecated Google Container Registry
- Add
--capture_vm_logs
flag, which prompts PKB to capturesyslog
,journalctl
, andsos report
(if supported) logs from Linux test VMs. - Add
--vm_log_bucket
flag, offering users the option to upload the logs captured via the--capture_vm_logs
flag to a GCS bucket. - Add chromium_compile_benchmark.
- Add unmanaged_postgresql_sysbench benchmark.
- Add numactl and perf support to netperf for analysis
- Additions to MongoDB in Artemis/PKB to facilitate workload analysis
- Updated
sar
switch to efficiently collect all sar metrics during the run, and download the file for hands-on analysis (no parsing). - Added delay_time support for delete operations in object storage service.
- Added horovod_synthetic option for synthetic input data in ResNet/ReXtNet models.
- Added support for A100 GPUs.
- Added cuda_tookit 11.0 support.
- Updated
retry_on_rate_limited
to false on all cluster_boot runs. - Add ability to apply HPC optimized script to GCE VMs with --gce_hpc_tools
- Update the nginx benchmark.
- Added
--before_run_pause
flag for debugging during benchmark development. - Report CPU vulnerabilities as a sample via the --record_cpu_vuln flag.
- Add retry when calling MountDisk.
- Measure time to running status of a VM in large_scale_boot benchmark.
- SpecCPU2017 runs on Redhat, Centos7
- Aerospike YCSB can have multiple server nodes and different client/server machine types.
- HPL's configuration file customizable with flags.
- Added Intel MPI to linux_packages.
- Added ability to use MKL 2018.2 from Intel repos via --mkl_install_from_repo
- Added ability to install gfortran 9 with --fortran_version=9
- Added MSS support to netperf with
--netperf_mss
. - Added nfs_service.NfsExport(vm, path) to easily NFS export a directory.
- AWS EFA works for Ubuntu1604.
- Added support for MySQL 8.0 on VMs and minimal innodb tuning.
- Add ability to specify version of Intel MKL with --mkl_version
- Added intelmpi.NfsExportIntelDirectory to NFS export /opt/intel
- Modify cloud_datastore_ycsb benchmark to execute YCSB on the same db entries each run instead of emptying and preloading the db every time. Can set flag google_datastore_repopulate=True to empty & repopulate.
- Enhance the cpu metric collection feature for cloud bigtable benchmark: as long as there is a real workload (table loading is not counted), the cpu metrics will be collected.
- Support wiring properties into DPB clusters with
--dpb_clusters_properties
in addition to--dpb_job_properties
. - Add support for GCS and S3 I/O in PKB managed Spark and Hadoop clusters.
- Update FIO workload to support extraction of common benchmark parameters from the scenario string.
- Added Intel oneAPI BaseKit to packages.
- Upgrade default CUDA version to 11.0.
- Add support for AWS IO2 EBS instances.
- Add support for Postgres 13 on VMs.
- Add support to compile GCC versions on non Debian systems.
- Add additional customization options to SPEC CPU 2017.
- Add average utilization to the metadata of cpu metrics for Cloud Bigtable benchmark.
- Add support for NFS
nconnect
mount option. - Add support for custom compilation of OpenJDK.
- Add support for configuring the HBase binding to use with
--hbase_binding
. - Enhance the cpu utilization metrics for cloud bigtable ycsb benchmark: collect the cpu data for each workload (differentiated by workload_index); the time window estimation is also more accurate.
- Support default subnets in --aws_subnet with
default
as value passed. - Add Unsupported config failure substatus for runs that are not supported by the cloud.
- Add support for nodepools to
container_cluster
benchmark spec. - Expose GCS FUSE disk type to allow using GCS buckets as a data_disk.
- Add support for 5th gen Azure VMs.
- Support multiple Redis instances on the same VM and multiple client VMs.
- Support creating autoscaled Bigtable instances.
- Added support to allow deleting a static table in Cloud Bigtable benchmarks via --google_bigtable_delete_static_table.
- Support downloading data twice in object_storage_service_benchmark.
- Add memtier reported percentile latencies to Memtier samples metadata.
- Add support for building multiarch Docker images.
- Add latency capped throughput measurement mode to memtier.
- Add Unsupported config failure substatus for Azure runs.
- Add support for Windows 2022 and Sql server 2019 on Windows 2022
- Add support for Redis Enterprise clustered database.
- Support regional GKE clusters.
- Support zonal node placement in regional Kubernetes clusters.
- Uses the regular version of gcloud for Bigtable commands instead of beta.
- Support logging the start timestamp of each stage.
- Support for building GCC on Debian
- Support for Postgres 13 on Debian
- Add OSProvisioningTimedOut as a recognized failure mode in Azure.
- Add support for providing initialization actions into DPB clusters with
--dpb_initialization_actions
- Add sandbox configuration fields for GKE nodepools.
- Fetch Redis benchmark live migration times from GCP metadata server.
- Retry table deletions in Cloud Bigtable benchmarks against a user managed instance and fail if the benchmark eventually fails to delete a table.
- Add support for Snowflake on Azure External Tables
- Fetch memtier benchmark runtime information
- Support installing the Google Cloud Bigtable client by a given version via --google_bigtable_client_version and simplify dependency management.
- Support setting --dpb_dataflow_additional_args and --dpb_dataflow_timeout for dpb_dataflow_provider.
- Add support for T2A (ARM) VMs on GCE.
- Add
--dpb_job_poll_interval_secs
flag to control job polling frequency in DPB benchmarks. - Add support for more readings in nvidia_power tracking.
- Report benchmark run costs for dpb_sparksql_benchmark runs on Dataproc Serverless, AWS EMR Serverless & AWS Glue.
- Create a list of resources in benchmark_spec to extract common lifecycle timing samples from regardless of benchmark. The set is initially small, but can be expanded to any resource.
- Add per-VM resource metadata for id, name, and IP address.
- Add Key Management Service (KMS) resource for cloud cryptographic keys.
- Add support for using java veneer client with google bigtable
google_bigtable_use_java_veneer_client
. - Allow configuring the number of channels used per VM for the Cloud Bigtable
YCSB benchmark with
--google_bigtable_channel_count
. - Add
--pkb_log_bucket
flag, allowing users to route PKB logs to a GCS bucket and clean up space on their machines. - Add support for rls routing with direct path with new flag
google_bigtable_enable_rls_routing
. - Set default YAML config vm_spec.GCP_network_name to null, and added the corresponding attribute to GCEVMSpec, GCENetworkSpec and GCEVirtualMachine. vm_spec overrides FLAGS.gce_network_name.
- Add
--dpb_sparksql_queries_url
flag to provide custom object store path (i.e. GCS/S3) where the queries will be used fordpb_sparksql_benchmark
. - Add
--gke_node_system_config
flag to the GKE provider for passing kubelet and linux parameters. - Add 'Time to Create' and 'Time to Running' samples on cluster_boot for GCEVirtualMachine and AWSVirtualMachine instances that are provisioned with asynchronous 'create' invocations.
- Add
--dpb_sparksql_streams
to run TPC-DS/H throughput runs. - Add
--gce_create_log_http
to pass--log-http
togcloud compute instance create
andgcloud compute operations describe
. - Update AWS/Azure/GCP data disks to use cheap ssds rather than hdds.
- Support Azure ZRS disks and hyperdisk balanced.
- Add --create_container_cluster_time_resize option to time adding node to provisioned Kubernetes clusters.
- Removed --container_cluster_cloud & --cloud=Kubernetes. Now to run VM benchmarks on Kubernetes, just set --cloud=GCP (or whichever) and --vm_platform=Kubernetes.
- Added function under perfkitbenchmarker.publisher to de-serialize labels from a string.
- Add support for S3 Express One Zone buckets with --object_storage_zone.
- Add
--always_call_cleanup
flag for runs that need to run Cleanup, but may fail in Provision. - Add support for setting an app profile to use on an existing instance via
--google_bigtable_app_profile_id
for Cloud Bigtable YCSB benchmarks. - Add retryable failure sub-statuses for runs that fail on a
vm_util.Retry()
command timing out or exceeding its retry limit. - Local disks not included in striping are now available as scratch disks.
- Add supportability of running Hadoop DFSIO on unmanaged Hadoop Yarn cluster.
- Enable log aggregation in Hadoop YARN job history server to enable finished application info and log retrieval.
- Add unmanaged Hadoop bin path to the environment PATH so that hadoop/yarn/hdfs commands can be ran without specifying the full path.
- Set dfs.datanode.data.dir and mapreduce.cluster.local.dir dynamically to use all attached scratch disks on each HDFS data node.
- Add a flag to allow users to specify a suffix for the GCP VM instance name.
- Add support for parsing testdfsio results.
- Mostly reconfigured Specjbb2015 to follow the user guide with 1 JVM group.
- Set --gce_subnet_name to override network_spec.subnet_name, which then would clobber --gce_network_name.
- Add support of externalizing the HADOOP_NAMENODE_OPTS.
- Use Azure Gen 2 VMs by default.
- Publish a
kernel_start_to_ssh
metric in the Cluster Boot benchmark (requires--cluster_boot_linux_boot_metrics
flag). - Publish a
Host Create Latency
metric in the Cluster Boot benchmark - Added
ss
switch to gather TCP/UDP socket perf stats
- Add 'runcpu --update' and 'runcpu --version' commands to install phase.
- Set the command to download preprovisioned data to be robust and have a five minute timeout.
- Make Speccpu17 fail if there are compilation errors that will cause missing results.
- Tuned entity cleanup parameters.
- Fix wrong unit in MLPerf benchmark.
- Disabled TF_CUDNN_USE_AUTOTUNE for horovod benchmarks.
- Updated default NCCL version.
- Use a deletion task to cleanup leftover entities to avoid hitting batch limit.
- Updated object storage service deleteObjects API to also return back object_sizes of deleted objects.
- Fixed a bug in leftover entity deletion logic.
- Fixed string encoding bug in netperf_pps benchmark.
- Fix installing RedHat EPEL on GCP (rhel8,centos8) and AWS (rhel7,rhel8, centos8, amazonlinux2)
- Fixed a bug in leftover entity deletion logic.
- Use absl parameterized test case.
- Error out if AWS EFA install fails (centos8,rhel8)
- Added
cascadelake
as a--gcp_min_cpu_platform
option. - Move CoreOS from EOL Container Linux CoreOS to Fedora CoreOS on AWS and GCP.
- Update files to use absl/flags.
- Tries alternate command to get boot time, fixing continuous checking for new time on rebooted system.
- Correctly handle ARM processors in netperf.
- Added --always_teardown_on_exception to allow pkb to perform teardown when there is exception at the provision|prepare|run|cleanup stage.
- Updates crcmod, boto, and awscli installation to pip3.
- Consolidates adding Ubuntu toolchain repo.
- Moved stress_ng installation to a package.
- Switch to using Google Cloud Build for continuous integration.
- Fix PrettyPrintStreamPublisher to make "cpu_utilization_per_minute" show up in the PKB results summary for cloud bigtable benchmark.
- Added an option to install GCP NCCL plugins.
- Updated hbase binding (from hbase10 to hbase12) for cloud bigtable ycsb benchmark and hbase ycsb benchmark.
- Added retries around spurious InvalidPlacementGroup.InUse on AWS VM create.
- Support Redis version 6 on managed Redis datastores.
- Updated Aerospike server release version to 4.9.0.31.
- Updated Aerospike client release version to 4.6.21.
- Install zlib1g-dev dependency for Aerospike client.
- Use OMB version 4.7.1 and parse new min/max columns.
- Added --application_default_credential_file as an alternative way to authenticate with Bigquery.
- Only install pip and pip3 when they are not already installed with Python.
- Install pip and pip3 from get-pip.py to avoid issues with old packages.
- Fix parsing Dstat 0.7.3
- Update hadoop version to 3.3.1
- Updated required numpy and six versions.
- Added
--hadoop_bin_url
flag to allow overrides for Hadoop downloads. - Make RunBenchmark handle KeyboardInterrupt so that benchmark specific resources can be cleaned up on cancellation. Expose these errors via status.
- Added --ycsb_fail_on_incomplete_loading flag to allow the test to fail fast in the case of table loading failures. --ycsb_insert_error_metric can be used to determine which metric indicates that loading failed (defaults to 'insert Return=ERROR').
- Enable the aggregation for "Return=NOT_FOUND" errors.
- Added no_proxy flag for proxy settings
- Stop attempting to delete PKB resources that failed to create.
- Added a new user guide for bigtable walkthrough.
- Sanitize the shell code in bigtable walkthrough doc: removing dollar sign and using variable expansion.
- Added
--google_monitoring_endpoint
flag for querying a different endpoint than monitoring.googleapis.com. Used bycloud_bigtable_ycsb
. - Update Go language binary to version 1.17.2
- Broadens Azure quota detection parsing
- AWS disk attaches now wait for attach, supporting io2 block express
- Update the performance results of Bigtable testing which used a more proper client setup.
- Update the runner's AWS CLI to 1.19.75.
- Upgrade from AWS ecr get-login to ecr get-login-password.
- Minor fix of the Bigtable benchmarking user guide.
- Enable icelake and milan as --gcp_min_cpu_platform options.
- Update the bigtable tutorial readme with the content of batch_testing.md. Unneeded files are removed.
- Fix fio_write_against_multiple_clients additional samples and metadata.
- Use real URLs as the links in Bigtable walkthrough doc.
- Add option to publish to a subfolder in cloud storage publisher.
- Parse resulting output matrix by indexing from the bottom up instead of top down.
- Double build time for all cloud's docker images, for a more complex build script.
- Add required dataflow option --gcpTempLocation and --region to gcp_dpb_dataflow provider.
- Support taking FLAGS.dpb_jar_file and FLAGS.dpb_wordcount_additional_args when running wordcount benchmark.
- Add some required types to BaseAppServiceSpec.
- Uses nic type of GVNIC by default (instead of VIRTIO_NET) on GCE
- Rename pkb's --placement_group_style values to reflect their cloud-specific CLI arguments (GCP - 'COLLOCATED'/'AVAILABILITY-DOMAIN'; AWS - 'cluster'/'spread'/'partition'; Azure - 'proximity-placement-group'/'availability-set'). Cloud-agnostic value 'closest_supported' will choose the most tightly-coupled placement policy supported.
- Fix how the CBT client is installed for the cloud_bigtable_ycsb_benchmark
(when --google_bigtable_client_version is set) and use the
cbt
CLI instead of the hbase shell to create and delete tables. - Update Bigtable benchmarking configs along with new docker image release. Important dates are added to the user guide.
- Add
--assign_external_ip
flag to allow benchmarking VMs without creating external (public) IPs for better security and reduced costs on AWS, Azure, and GCP. The--connect_via_internal_ip
flag should also be used in this case. - Add
--boot_completion_ip_subset
flag to determine how to measure Boot Completion - Add
--azure_subnet_id
flag to use an existing subnet instead of creating a new one. - Remove
--google_bigtable_enable_table_object_sharing
. Use--ycsb_tar_url=https://storage.googleapis.com/cbt_ycsb_client_jar/ycsb-0.14.0.tar.gz
to retain the previous behavior. - Remove
--google_bigtable_hbase_jar_url
. Rely on--google_bigtable_client_version
instead. - Fix how environment variable is set for direct path
- Fix incorrect string concatenation causing Snowflake Throughput runs to fail.
- Remove reboot after changing sysctl and load via sysctl -p instead.
- Clean up settings related to the Cloud Bigtable Veneer client.
- Don't install HBase dependencies when using the Cloud Bigtable Veneer client.
- Require monitoring.write scope for client side metrics when using the Cloud Bigtable veneer client.
- Add flag dpb_job_type and support running native flink pipeline on dataproc_flink.
- Cleanup Coremark compiling flags.
- Remove cygwin codepath.
- Moved flags from
pkb.py
toflags.py
to help avoid circular dependencies. - Updated tracer dstat to use pcp dstat.
- Removed Windows 2012 after loss of support on all clouds.
- Formatted entire directory with https://github.com/google/pyink.
- Added a new flag
--azure_attach_disk_with_create
(default=True) to enable/disable attach of disks to VM as a part of Disk creation for Azure. - Using the flag
--gcp_create_disks_with_vm=false
in provision_disk benchmark to separate disk creation from VM creation in GCP and get the disk create and attach time. - Reduce duplicate code in MaintenanceEventTrigger.AppendSamples().
- Attach "run_number" label to "LM Total Time" sample.
- Refactored
azure_virtual_machine.py
to useazure_disk_strategies.py
and Enabled disk provision benchmark for Azure. - Refactored
aws_virtual_machine.py
to useaws_disk_strategies.py
and Enabled disk provision benchmark for AWS by using--aws_create_disks_with_vm
. - Enabled parallel/bulk create and attach of GCE, AWS and Azure remote disks.
- Set
--always_call_cleanup=True
flag as the default forcluster_boot
. This prevents leakingtcpdump
processes from runs that fail in the Provision phase. - Gradual, continuous additions of pytyping & splitting large files.
- Added
example_benchmark
&example_resource
which showcase the simplest possible spec, resource, & benchmark that can be written. - Fix cluster_boot to work on AliCloud by default.
- Let hdfs-site.xml use dfs.blocksize (https://issues.apache.org/jira/browse/HDFS-631).
- Update OpenJDK version to default on Debian based OSes and latest on Red Hat based OSes.
- Update Chromium version to 127.0.6533.88.
- Update bigtable_walkthrough/README.md to help reduce the user frictions.
- Remove default boot_disk_type in GCP.
- Update AWS and Azure default disks to gp3 and PremiumV2_LRS respectively.