We will all configuration options for Pulsejet here. Pulsejet mainly configurable with config.toml file. Before proceeding, if you feel alien to terminology, please check the terminology, design & concepts. Example config toml is below: 
rest_api_port = 47044
grpc_api_port = 47045

[storage]
prod_name = "pulsejetdb"
shard_id = 0
basedir = ".database"

[storage.hot_config]
hot_storage_size = 10000000
bloom_fp_rate = 0.001
bloom_size = 1000000
flush_size = 52428800
bufferpool_to_resident_ratio = 0.2
resident_writeback_interval_ms = 50000
txn_timeout_ms = 500

[storage.warm_config]
max_background_jobs = 10
wal_check_checksum = true
wal_checkpoint_segments = 3
wal_checkpoint_timeout_seconds = 300
wal_log_gc_seconds = 3600
wal_log_gc_percentage = 0.2

[storage.cold_config]
cold_enable = false
writeback_frequency_secs = 300
concurrent_requests = 100
bucket_name = "pulsejet_cold"
cloud_api = "GCP"
base_path = "snapshots"
Let’s explain the configuration options.

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Ports

There are two APIs, one is HTTP the other is GRPC. GRPC used for performance queries. 
rest_api_port = 47044
grpc_api_port = 47045

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Storage

This section configures the storage options of this server. 
[storage]
prod_name = "pulsejetdb"
shard_id = 0
basedir = ".database"
  • prod_name: Indicates the name of this instance. If you want to give a naming or advertise the instance with a name you can change this.
  • shard_id: This is both shard and node id. For single node cluster it can stay as 0. But for other instance you need to change it to identify the shards.
    • If shard id is left zero in cluster mode, cluster will automatically recon and name the nodes in consistent hashing method.
  • basedir: This is the directory where all data will be stored. By default it is local directory of .database/.

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Hot Storage

Pulsejet consists of hot, warm and cold storage tiers. This config is for hot storage (in-memory) config. 
[storage.hot_config]
hot_storage_size = 10000000
bloom_fp_rate = 0.001
bloom_size = 1000000
flush_size = 52428800
bufferpool_to_resident_ratio = 0.2
resident_writeback_interval_ms = 50000
txn_timeout_ms = 500
  • hot_storage_size: The amount of in-memory embeds that can be left in memory.
  • bloom_fp_rate: False-positive rate of the bloom-filter to be used to find related embeds.
  • bloom_size: Bloom filter size in general.
  • flush_size: Flush size of the hot to warm storage. Keeping it bigger than hot_storage_size will make it flush to disk in a single shot.
  • bufferpool_to_resident_ratio: How many embeds can be in the pre-buffer before goes into hot storage. For the example above it is 10000000 * 0.2.
  • resident_writeback_interval_ms: How frequently hot storage will be committed to warm (on-disk).
  • txn_timeout_ms: Transactional commit timeout in milliseconds.

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Warm Storage

This is local mounted disk storage and it’s configuration. 
[storage.warm_config]
max_background_jobs = 10
wal_check_checksum = true
wal_checkpoint_segments = 3
wal_checkpoint_timeout_seconds = 300
wal_log_gc_seconds = 3600
wal_log_gc_percentage = 0.2
  • max_background_jobs: How many background jobs to be used to writeback to disk.
  • wal_check_checksum: For WAL do we need to check the checksum on load.
  • wal_checkpoint_segments: Segment size per WAL log block.
  • wal_checkpoint_timeout_seconds: How frequently checkpointing should be made.
  • wal_log_gc_seconds: How frequently WAL GC needs to run.
  • wal_log_gc_percentage: Percentage of the GCed and resident WAL records. How much of them should be GCed is configurable by this.

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Cold Storage

This is long term archival storage system. It is for writing data to object storages. 
[storage.cold_config]
cold_enable = false
writeback_frequency_secs = 300
concurrent_requests = 100
bucket_name = "pulsejet_cold"
cloud_api = "GCP"
base_path = "snapshots"
  • cold_enable: Enable cold storage, this is the switch for it.
  • writeback_frequency_secs: How frequently we should write to object storage periodically.
  • concurrent_requests: How many concurrent write operation can go simultaneously.
  • bucket_name: Name of the bucket, bucket terminology can differ from one provider to another but the core model remains same.
  • cloud_api: Which cloud API to use. Possible options are:
    • GCP for Google Cloud Storage.
    • AWS for AWS S3.
    • Azure for Azure Storage Blob.
  • base_path: The path that will be following the bucket_name that we will write the data into.