/7.2/snippet-tags/ingest/Recent content in INGEST on Kinetica DocsHugo -- gohugo.ioen/7.2/snippets/json-ingest/Mon, 01 Jan 0001 00:00:00 +0000/7.2/snippets/json-ingest/Basic Ingest from File Ingest from File with Options Ingest from JSON String The /insert/records/json REST endpoint can be called directly, or with a convenient wrapper in the Java API. See Overview for call details and Responses for return values. Basic Ingest from File cURL Python Java Java (Distributed Ingest) JavaScript Node.js cURL 1 2 3 4 5 6 7 8 9 10 KINETICA_URL=http://localhost:9191 USERNAME=auser PASSWORD=apassword TABLE_NAME=product JSON_FILE_NAME=products.json curl -sS -X POST --header "Content-Type: application/json" \ --user "${USERNAME}:${PASSWORD}" \ -d @${JSON_FILE_NAME} \ ${KINETICA_URL}/insert/records/json?/7.2/snippets/load-data/Mon, 01 Jan 0001 00:00:00 +0000/7.2/snippets/load-data/LOAD INTO Single & Multiple KiFS Files Data Sources File/Queue-Based Query-Based File Types Delimited Text Files JSON/GeoJSON Files Parquet Files Shapefiles Avro Files Primary/Shard Keys Query Partitioning Options Other Options External Tables LOAD INTO Single & Multiple KiFS Files Single File Multiple Files by List Single File 1 2 LOAD DATA INTO example.product FROM FILE PATHS 'kifs://data/products.csv' Multiple Files by List 1 2 LOAD DATA INTO example.product FROM FILE PATHS 'kifs://data/products./7.2/snippets/vector/Mon, 01 Jan 0001 00:00:00 +0000/7.2/snippets/vector/Creating a Table Vector Column without Normalization Vector Column with Normalization Inserting Vector Data Retrieving Vector Data Indexing Vector Data CAGRA Vector Index HNSW Vector Index Searching Vector Data Vector Search by Operator Vector Search by Function Creating a Table A vector column can optionally be configured to normalize the vector data inserted into it, giving each vector a magnitude (L2 norm) of 1. This can improve the performance of some vector operations with minimal overhead./7.2/snippets/create-credentials/Mon, 01 Jan 0001 00:00:00 +0000/7.2/snippets/create-credentials/Azure Google Cloud Storage HDFS JDBC Kafka (Apache) Kafka (Confluent) Remote Repository S3 (Amazon) Several authentication schemes across multiple providers are supported. For a detailed overview of all of the provider-specific options, see the SQL documentation. Azure Password SAS Token Active Directory Password 1 2 3 4 CREATE CREDENTIAL azure_cred TYPE = 'azure_storage_key', IDENTITY = 'sampleacc', SECRET = 'foobaz123' SAS Token 1 2 3 4 CREATE CREDENTIAL azure_cred TYPE = 'azure_sas', IDENTITY = 'sampleacc', SECRET = 'sv=2015-07-08&sr=b&sig=39Up0JzHkxhUlhFEjEH9673DJxe7w6./7.2/snippets/create-data-sources/Mon, 01 Jan 0001 00:00:00 +0000/7.2/snippets/create-data-sources/Azure BLOB Google Cloud Storage HDFS JDBC Kafka (Apache) Kafka (Confluent) S3 Several authentication schemes across multiple providers are supported. For a detailed overview of all of the provider-specific options, see the SQL documentation. Note Creating an authenticated data source may require creating a corresponding credential object to store the authentication information and then referencing that object when creating the data source. See Creating Credentials for examples. Azure BLOB Credential Public (No Auth) Managed Credentials Password SAS Token Active Directory Credential 1 2 3 4 5 6 7 CREATE DATA SOURCE azure_ds LOCATION = 'AZURE' WITH OPTIONS ( CREDENTIAL = 'azure_cred', CONTAINER NAME = 'samplecontainer' ) Public (No Auth) 1 2 3 4 5 6 7 CREATE DATA SOURCE azure_ds LOCATION = 'AZURE' USER = 'sampleacc' WITH OPTIONS ( CONTAINER NAME = 'samplecontainer' ) Managed Credentials 1 2 3 4 5 6 7 8 9 10 CREATE DATA SOURCE azure_ds LOCATION = 'AZURE' USER = 'sampleacc' WITH OPTIONS ( USE_MANAGED_CREDENTIALS = true, STORAGE ACCOUNT NAME = 'sampelacc', CONTAINER NAME = 'samplecontainer', TENANT ID = 'x0xxx10-00x0-0x01-0xxx-x0x0x01xx100' ) Password 1 2 3 4 5 6 7 8 CREATE DATA SOURCE azure_ds LOCATION = 'AZURE' USER = 'sampleacc' PASSWORD = 'foobaz123' WITH OPTIONS ( CONTAINER NAME = 'samplecontainer' ) SAS Token 1 2 3 4 5 6 7 8 CREATE DATA SOURCE azure_ds LOCATION = 'AZURE' USER = 'sampleacc' WITH OPTIONS ( CONTAINER NAME = 'samplecontainer', SAS TOKEN = 'sv=2015-07-08&sr=b&sig=39Up0JzHkxhUlhFEjEH9673DJxe7w6clRCg0V6lCgSo%3D&se=2016-10-18T21%A51%A337Z&sp=rcw' ) Active Directory 1 2 3 4 5 6 7 8 9 10 CREATE DATA SOURCE azure_ds LOCATION = 'AZURE' USER = 'jdoe' PASSWORD = 'foobaz123' WITH OPTIONS ( STORAGE ACCOUNT NAME = 'sampelacc', CONTAINER NAME = 'samplecontainer', TENANT ID = 'x0xxx10-00x0-0x01-0xxx-x0x0x01xx100' ) Google Cloud Storage Credential Managed Credentials Public (No Auth) User ID & Key JSON Key Credential 1 2 3 4 5 6 7 CREATE DATA SOURCE gcs_ds LOCATION = 'GCS' WITH OPTIONS ( CREDENTIAL = 'gcs_cred', GCS_BUCKET_NAME = 'gcs-public' ) Managed Credentials 1 2 3 4 5 6 7 CREATE DATA SOURCE gcs_ds LOCATION = 'GCS' WITH OPTIONS ( USE_MANAGED_CREDENTIALS = true, GCS_BUCKET_NAME = 'gcs-public' ) Public (No Auth) 1 2 3 4 5 6 CREATE DATA SOURCE gcs_ds LOCATION = 'GCS' WITH OPTIONS ( GCS_BUCKET_NAME = 'gcs-public' ) User ID & Key 1 2 3 4 5 6 7 8 CREATE DATA SOURCE gcs_ds LOCATION = 'GCS' USER = 'auser@auser.