/7.1/load_data/by_source/Recent content in Load Data by Source on Kinetica DocsHugo -- gohugo.ioen/7.1/load_data/by_source/kafka/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/kafka/Create Credential Create Data Source Ingest Data Considerations Error Handling Load Specific Columns DateTime Formatting Null Value Handling Avro w/ Schema Registry Loading data from Apache Kafka can be done in three easy steps: Create a credential - holds Kafka account authentication information Create a data source - holds Kafka connection information; uses the credential for authentication Ingest the data - Load data from Kafka; uses the data source to identify the Kafka source Note/7.1/load_data/by_source/azure_blob/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/azure_blob/Create Credential Create Data Source Ingest Data Considerations Error Handling Load Specific Columns DateTime Formatting Loading data from Azure Blob Storage can be done in three easy steps: Create a credential - holds Azure account authentication information Create a data source - holds Azure Blob Storage connection information; uses the credential for authentication Ingest the data - Load data from Azure; uses the data source to identify the Azure source Create Credential To store the access details for your data source, first create a credential with the CREATE CREDENTIAL command, and reference it in your CREATE DATA SOURCE statement./7.1/load_data/by_source/cdata/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/cdata/Before You Begin Create Data Source Ingest Data Considerations Error Handling Load Specific Columns Loading data from a CData data source can be done in two easy steps: Create a data source: Create a data source that holds the connection information. Ingest the data: Load data from the data source using a remote JDBC query. Kinetica provides pre-packaged, third-party JDBC drivers, out of the box, that allow you to connect to varied and popular data sources./7.1/load_data/by_source/confluent/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/confluent/Create Credential Create Data Source Ingest Data Considerations Error Handling Load Specific Columns DateTime Formatting Null Value Handling Avro w/ Schema Registry Loading data from Confluent Kafka can be done in three easy steps: Create a credential - holds Kafka account authentication information Create a data source - holds Kafka connection information; uses the credential for authentication Ingest the data - Load data from Kafka; uses the data source to identify the Kafka source Note/7.1/load_data/by_source/gcs/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/gcs/Create Credential Create Data Source Ingest Data Considerations Error Handling Load Specific Columns DateTime Formatting Loading data from Google Cloud Storage can be done in three easy steps: Create a credential - holds GCS account authentication information Create a data source - holds GCS connection information; uses the credential for authentication Ingest the data - Load data from GCS; uses the data source to identify the GCS source Create Credential To store the access details for your data source, first create a credential with the CREATE CREDENTIAL command, and reference it in your CREATE DATA SOURCE statement./7.1/load_data/by_source/hdfs/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/hdfs/Create Credential Create Data Source Ingest Data Considerations Wildcard Ingest Error Handling Load Specific Columns DateTime Formatting Loading data from HDFS can be done in three easy steps: Create a credential - holds HDFS account authentication information Create a data source - holds HDFS connection information; uses the credential for authentication Ingest the data - Load data from HDFS; uses the data source to identify the HDFS source Create Credential To store the access details for your data source, first create a credential with the CREATE CREDENTIAL command, and reference it in your CREATE DATA SOURCE statement./7.1/load_data/by_source/jdbc/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/jdbc/Before You Begin Upload JDBC Driver KiSQL Create Data Source Ingest Data Considerations Error Handling Loading data from a JDBC data source can be done in three easy steps: Load the JDBC Driver into KiFS: Load the JDBC driver for the specified data source into the Kinetica File System (KiFS). Create a data source: Create a data source that holds JDBC connection information. Ingest the data: Load data from your data source over JDBC using a remote query./7.1/load_data/by_source/kifs/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/kifs/Ingest Data Considerations Error Handling Load Specific Columns DateTime Formatting Unlike other data sources, you do not need to first create a credential and a data source object in Kinetica before ingesting data from KiFS. Ingest Data To initiate the ingest of data into a Kinetica table, use the LOAD INTO command for a one-time batch load. To reference files in KiFS, you can use a URL that looks like this:/7.1/load_data/by_source/local/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/local/KiSQL Considerations Error Handling Load Specific Columns DateTime Formatting To load data from your local computer, you can: Use the command line from your computer with Kinetica's KiSQL tool that allows you to upload the file to the Kinetica File System (KiFS) and initiate the load into the table with SQL. Or, use a third party SQL tool like DBeaver with Kinetica's JDBC driver and follow the same instructions for KiSQL./7.1/load_data/by_source/s3/Mon, 01 Jan 0001 00:00:00 +0000/7.1/load_data/by_source/s3/Create Credential Create Data Source Ingest Data Considerations Error Handling Load Specific Columns DateTime Formatting Loading data from Amazon S3 can be done in three easy steps: Create a credential - holds S3 account authentication information Create a data source - holds S3 connection information; uses the credential for authentication Ingest the data - Load data from S3; uses the data source to identify the S3 source Create Credential To store the access details for your data source, first create a credential with the CREATE CREDENTIAL command, and reference it in your CREATE DATA SOURCE statement.