Comments (1)
When running with KUSTO_WRITE_ENABLE_ASYNC set to false the performance with more than one partition is improved (skips foreachPartitionAsync in KustoWriter that is blocker with await)
from azure-kusto-spark.
Related Issues (20)
- Can read ADX (free tier) from Databricks but cannot write rows to ADX HOT 4
- Sensitive information printing as plain text in DAG representation, Text Execution Summary, and Details HOT 1
- Inconsistent values when using ForceDistributed vs Single modes
- Wrong SAS URLs gets through parser
- Container cache refresh fails the ingestion
- Error using Service Principal with Certificate HOT 4
- Maven coordinates not found in Databricks Install libraries - com.microsoft.azure.kusto:kusto-spark_3.0_2.12:4.0.2 HOT 6
- Unable to use connector if uri ends with kusto.fabric.microsoft.com HOT 2
- Kusto Spark connector cannot connect to Fabric Kusto databases HOT 9
- Ingest without spark temp tables HOT 2
- Ingestion hangs when using Maven package but works fine with GitHub release HOT 17
- Azure CLI authentication support HOT 3
- no option to pass in the appId/appKey with the API call for authentication in Synapse HOT 2
- Support for Scala 2.13 HOT 2
- Write to Kusto in Synapse with option "sparkIngestionPropertiesJson" always failed in spark 3.3 HOT 2
- Cannot write to ADX from Azure Databricks using Kusto connector for pyspark "com.microsoft.kusto.spark.datasource" HOT 6
- ThrottleExceptions when writing data to ADX/Kusto HOT 12
- Stuck at connecting to Kusto HOT 1
- Ingestion fails for tables with "-" in the names HOT 1
- KUSTO_MANAGED_IDENTITY_AUTH is not a member of com.microsoft.kusto.spark.common.KustoOptions and com.microsoft.kusto.spark.datasink.KustoSinkOptions HOT 7
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from azure-kusto-spark.