I am trying to create Hive external table from Spark application and passing location as a variable to the SQL command. It doesn't create Hive table and I don't see any errors.
val location = "/home/data"
hiveContext.sql(s"""CREATE EXTERNAL TABLE IF NOT EXISTS TestTable(id STRING,name STRING) PARTITIONED BY (city string) STORED AS PARQUET LOCATION '${location}' """)
Spark only supports creating managed tables. And even then there are severe restrictions: it does not support dynamically partitioned tables.
TL;DR you can not create external tables through Spark. Spark can read them
Not sure which version had this limitations. I using Spark 1.6, Hive 1.1.
I am able to create the external table, please follow below:
var query = "CREATE EXTERNAL TABLE avro_hive_table ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe'TBLPROPERTIES ('avro.schema.url'='hdfs://localdomain/user/avro/schemas/activity.avsc') STORED AS INPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat' OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat' LOCATION '/user/avro/applog_avro'"
var hiveContext = new org.apache.spark.sql.hive.HiveContext(sc);
hiveContext.sql(query);
var df = hiveContext.sql("select count(*) from avro_hive_table");
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