azure-hdinsight

问题 How can I optimize a query of this form since I keep running into this OOM error? Or come up with a better execution plan? If I removed the substring clause, the query would work fine, suggesting that this takes a lot of memory. When the job fails, the beeline output shows the OOM Java heap space. Readings online suggested that I increase export HADOOP_HEAPSIZE but this still results in the error. Another thing I tried was increasing the hive.tez.container.size and hive.tez.java.opts (tez

问题 I like to find the best methods of transferring 20 GB of SQL data from a SQL Server database installed on a customer onsite server, Client, to our Azure SQL Server, Source, on an S4 with 200 DTUs performance for $320 a month. When doing an initial setup, we set up an Azure Data Factory that copies over the 20 GB via multiple table copies, e.g., Client Table A's content to Source Table A, Client Table B's content to Source Table B, etc. Then we run many Extractors store procedures that insert

来源： https://stackoverflow.com/questions/33795090/how-to-avoid-hdinsight-on-demand-in-azure-data-factory-from-creating-a-new-conta

来源： https://stackoverflow.com/questions/58328872/variables-in-hiveql

来源： https://stackoverflow.com/questions/58328872/variables-in-hiveql

来源： https://stackoverflow.com/questions/58328872/variables-in-hiveql

来源： https://stackoverflow.com/questions/58328872/variables-in-hiveql

来源： https://stackoverflow.com/questions/48165947/access-datalake-from-azure-datafactory-v2-using-on-demand-hd-insight-cluster

来源： https://stackoverflow.com/questions/59973141/spark-submit-failing-in-yarn-cluster-mode-when-specifying-files-in-an-azure-hd

来源： https://stackoverflow.com/questions/59973141/spark-submit-failing-in-yarn-cluster-mode-when-specifying-files-in-an-azure-hd