hive-metastore

问题 I am a little confused on where does the hive stores it's data. Does it stores it's data in HDFS or in a RDBMS ?? Does Hive Meta store uses a RDBMS to store the hive tables metadata ?? Thanks in Advance !! 回答1: Hive data are stored in one of Hadoop compatible filesystem: S3, HDFS or other compatible filesystem. Hive metadata are stored in RDBMS like MySQL, see supported RDBMS. The location of Hive tables data in S3 or HDFS can be specified for both managed and external tables. The difference

问题 I am a little confused on where does the hive stores it's data. Does it stores it's data in HDFS or in a RDBMS ?? Does Hive Meta store uses a RDBMS to store the hive tables metadata ?? Thanks in Advance !! 回答1: Hive data are stored in one of Hadoop compatible filesystem: S3, HDFS or other compatible filesystem. Hive metadata are stored in RDBMS like MySQL, see supported RDBMS. The location of Hive tables data in S3 or HDFS can be specified for both managed and external tables. The difference

问题 I am a little confused on where does the hive stores it's data. Does it stores it's data in HDFS or in a RDBMS ?? Does Hive Meta store uses a RDBMS to store the hive tables metadata ?? Thanks in Advance !! 回答1: Hive data are stored in one of Hadoop compatible filesystem: S3, HDFS or other compatible filesystem. Hive metadata are stored in RDBMS like MySQL, see supported RDBMS. The location of Hive tables data in S3 or HDFS can be specified for both managed and external tables. The difference

来源： https://stackoverflow.com/questions/63592030/how-does-crawler-much-better-than-direct-connecting-to-db-and-retreive-data

来源： https://stackoverflow.com/questions/63592030/how-does-crawler-much-better-than-direct-connecting-to-db-and-retreive-data

来源： https://stackoverflow.com/questions/63668341/spark-3-x-on-hdp-3-1-in-headless-mode-with-hive-hive-tables-not-found

问题 select '12345' as `EmpId'; -- output is empid with value 12345 Any leads to keep the same columnname as EmpId? 回答1: Not possible. This is a limitation of the HIVE metastore. It stores the schema of a table in all lowercase. Hive uses this method to normalize column names, see Table.java private static String normalize(String colName) throws HiveException { if (!MetaStoreServerUtils.validateColumnName(colName)) { throw new HiveException("Invalid column name '" + colName + "' in the table

问题 We just migrated to Databricks Delta from parquet using Hive metastore. So far everything seems to work fine, when I try to print out the location of the new Delta table using DESCRIBE EXTENDED my_table the location is correct although it is different than the one found in the hiveMetastore database. When I access the hiveMetastore database I can successfully identify the target table (also provider is correctly set to Delta). To retrieve the previous information I am executing a join between

问题 This is an extension of a previous question I asked: Is it possible to change the metadata of a column that is on a partitioned table in Hive? Question: Is it possible to change an existing column's metadata on an EXTERNAL table that is defined by an AVRO schema file? I need to change the column metadata on a table that is both partitioned and stored as EXTERNAL. The column itself is not the partitioning column. The metadata is stored in a separate AVRO file. I can confirm that the updated

问题 Getting below error while running spark-shell Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 18/01/30 18:22:27 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 18/01/30 18:22:29 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.