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kdb+ Initial Import Quickstart

This page explains how to import an existing kdb+ database into kdb Insights.

If you have an existing large kdb+ database, you should use initial import to add your data to a kdb Insights database. This is generally faster than using a batch ingest.

It is important to draw a clear distinction between an initial import and a batch ingest.

  • Initial Import: can only be used with a database that has never been initialized before and consequently does not contain any data.
  • Batch Ingest: can be used to add data to an already initialized and running database that may also contain data.

Before importing any data, ensure you have read the prerequisites to determine that your database is suitable for an initial import ingest.

Quickstart steps

Create temporary structure

  1. First, create a temporary structure.
TEMP=`mktemp -d`
export TEMP # root directory to store data and config for example
export DATA=$TEMP/data/ # directory where test data will be created
export SCHEMA=$TEMP/schema/ # directory where schema will be stored
export INSIGHTS_HOSTNAME=insights.example.com  # kdb+ Insights URL
mkdir -pv $DATA $SCHEMA 
  • If needed, create some sample data. The following sample creates a kdb+ database containing trade and quote tables.

    dbroot:hsym`$getenv`DATA;
    d:2021.09.01+til 20;
    {[d;n]sv[`;.Q.par[dbroot;d;`trade],`]set .Q.en[dbroot;([]sym:`$'n?.Q.A;time:d+.z.N+til n;price:n?100f;size:n?50)];}[;10000]each d;
    {[d;n]sv[`;.Q.par[dbroot;d;`quote],`]set .Q.en[dbroot;([]sym:`$'n?.Q.A;time:d+.z.N+til n;ask:n?100f;asize:n?50;bid:n?100f;bsize:n?50)];}[;10000]each d;
    

    This creates the following structure.

    /tmp/test/.
    ├── db
    │   ├── 2021.09.01
    │   ├── 2021.09.02
    │   ├── 2021.09.03
    │   ├── 2021.09.04
    │   ├── 2021.09.05
    │   ├── 2021.09.06
    │   ├── 2021.09.07
    │   ├── 2021.09.08
    │   ├── 2021.09.09
    │   ├── 2021.09.10
    │   ├── 2021.09.11
    │   ├── 2021.09.12
    │   ├── 2021.09.13
    │   ├── 2021.09.14
    │   ├── 2021.09.15
    │   ├── 2021.09.16
    │   ├── 2021.09.17
    │   ├── 2021.09.18
    │   ├── 2021.09.19
    │   └── 2021.09.20
    └── sym
    

Copy the data

  1. Next, copy the data using the following steps. Create a database tier(s) storage to store the data.

    You may need to change the storage class for the PVC depending on what is available on your cluster.

    YAML to create a PVC:

    cat <<EOF | kubectl apply -f -
    apiVersion: v1
    kind: PersistentVolumeClaim
    metadata:
      name: $KX_DATABASE_NAME-hdb
    spec:
      storageClassName: rook-cephfs
      accessModes:
      - ReadWriteMany
      resources:
        requests:
          storage: 20Gi
    EOF
    
  2. Create a pod, which mounts the local storage tier.

    cat <<EOF | kubectl apply -f -
    apiVersion: v1
    kind: Pod
    metadata:
      name: $KX_DATABASE_NAME-copy-pod
    spec:
      securityContext:
        fsGroup: 65534
        fsGroupChangePolicy: OnRootMismatch
        runAsNonRoot: true
        runAsUser: 65534
      containers:
        - name: $KX_DATABASE_NAME-copy-container
          image: amazonlinux:2
          stdin: true
          command: [ "/bin/bash", "-c" ]
          args:
            - |
              yum install -y rsync
              mkdir /data/db/hdb/data/
              while true; do sleep 30; done;
          volumeMounts:
            - mountPath: /data/db/hdb
              name: $KX_DATABASE_NAME-storage
      volumes:
      - name: $KX_DATABASE_NAME-storage
        persistentVolumeClaim:
          claimName: $KX_DATABASE_NAME-hdb
    EOF
    
  3. Copy kdb+ data to the tiers created.

    bash krsync.sh $DATA $KX_DATABASE_NAME-copy-pod /data/db/hdb/data/
    

Deploy the database

Now the data is imported, you can deploy your database.

  1. Create a kdb+ Insights schema for the database to be imported to.

    q create-schema.q -db $DATA -fmt package -out $SCHEMA
    

    Edit the schema of the trade and quote tables to set the prtnCol.

  2. Create a kdb+ Insights database with the new database configured.

    The following example shows a database configuration with a schema:

    Database Assembly

    name: Trade data
    labels:
      region: amer
    
    dbSettings:
      encryption:
        encryptAll: false
    
    tables:
      quote: 
        type: "partitioned"
        columns: 
          - name: "sym"
            type: "symbol"
          - name: "time"
            type: "timestamp"
          - name: "ask"
            type: "float"
          - name: "asize"
            type: "long"
          - name: "bid"
            type: "float"
          - name: "bsize"
            type: "long"
        prtnCol: "time"
      trade: 
        type: "partitioned"
        columns: 
          - name: "sym"
            type: "symbol"
          - name: "time"
            type: "timestamp"
          - name: "price"
            type: "float"
          - name: "size"
            type: "long"
        prtnCol: "time"
    
    mounts:
      rdb:
        type: stream
        partition: none
        baseURI: none
      idb:
        type: local
        partition: ordinal
        baseURI: file:///data/db/idb
      hdb:
        type: local
        partition: date
        baseURI: file:///data/db/hdb
    
    elements:
      dap:
        instances:
          rdb:
            mountName: rdb
          idb:
            mountName: idb
          hdb:
            mountName: hdb
    
      sm:
        source: stream
        tiers:
          - name: rdb
            mount: rdb
          - name: idb
            mount: idb
            schedule:
              freq: 0D00:10:00 # every 10 minutes
          - name: hdb
            mount: hdb
            schedule:
              freq: 1D00:00:00 # every day
              snap:   01:35:00 # at 1:35 AM
            retain:
              time: 2 days
    
  3. Deploy the database

    The deployment mechanism depends on which SDK microservices are being used. Refer to these examples for more details.

  4. Inspect status API and logs to verify that the import worked.

    kxi --realm insights --hostname $INSIGHTS_HOSTNAME auth login
    export INSIGHTS_TOKEN=`kxi auth print-token` && curl -L "https://${INSIGHTS_HOSTNAME}/servicegateway/api/v1/database/$KX_DATABASE_NAME/status" -H "Authorization: Bearer $INSIGHTS_TOKEN"
    
    {
      "state": "normal",
      "encryption": "encrypted",
      "progress": {
        "cmdCurrent": "",
        "cmdIndex": null,
        "cmdTotal": null,
        "subCurrent": "",
        "subIndex": null,
        "subTotal": null,
        "completeETA": ""
      },
      "memory": {
        "usage": 151252992,
        "limit": 2147483648
      }
    }
    
    curl -X POST --header "Content-Type: application/json"\
        --header "Accepted: application/json"\
        --header "Authorization: Bearer $INSIGHTS_TOKEN"\
        --data "{\"table\":\"trade\",\"startTS\":\"2021-09-01T00:00:00.000000000\",\"endTS\":\"2024-11-12T13:27:00.000000000\",\"agg\":[[\"cnt\",\"count\",\"time\"]]}"\
        "https://${INSIGHTS_HOSTNAME}/servicegateway/kxi/getData"
    
    {
      "header": {
        "auditID": "e13b1e27-a82a-41e3-b6c9-cc08d4678367",
        "rcvTS": "2024-11-12T20:00:15.588000000",
        "corr": "aff5c6a1-ac83-4895-9df5-221b66c6e64d",
        "logCorr": "e13b1e27-a82a-41e3-b6c9-cc08d4678367",
        "http": "json",
        "api": ".kxi.getData",
        "agg": ":10.6.142.183:5070",
        "refVintage": -9223372036854776000,
        "rc": 0,
        "ac": 0,
        "ai": "",
        "limitApplied": false
      },
      "payload": [
        {
          "cnt": 200000
        }
      ]
    }
    

Next steps

Now you have tried this process with the quickstart, you can attempt following the initial import process. If you experience any issues, refer to our troubleshooting page for help.