I am interested in being able to retrieve the location value of a Hive table given a Spark object (SparkSession). One way to obtain this value is by parsing the output of the location via the following SQL query:
describe formatted <table name>
I was wondering if there is another way to obtain the location value without having to parse the output. An API would be great in case the output of the above command changes between Hive versions. If an external dependency is needed, which would it be? Is there some sample spark code that can obtain the location value?
First approach
You can use input_file_name
with dataframe.
it will give you absolute file-path for a part file.
spark.read.table("zen.intent_master").select(input_file_name).take(1)
And then extract table path from it.
Second approach
Its more of hack you can say.
package org.apache.spark.sql.hive
import java.net.URI
import org.apache.spark.sql.catalyst.catalog.{InMemoryCatalog, SessionCatalog}
import org.apache.spark.sql.catalyst.parser.ParserInterface
import org.apache.spark.sql.internal.{SessionState, SharedState}
import org.apache.spark.sql.SparkSession
class TableDetail {
def getTableLocation(table: String, spark: SparkSession): URI = {
val sessionState: SessionState = spark.sessionState
val sharedState: SharedState = spark.sharedState
val catalog: SessionCatalog = sessionState.catalog
val sqlParser: ParserInterface = sessionState.sqlParser
val client = sharedState.externalCatalog match {
case catalog: HiveExternalCatalog => catalog.client
case _: InMemoryCatalog => throw new IllegalArgumentException("In Memory catalog doesn't " +
"support hive client API")
}
val idtfr = sqlParser.parseTableIdentifier(table)
require(catalog.tableExists(idtfr), new IllegalArgumentException(idtfr + " done not exists"))
val rawTable = client.getTable(idtfr.database.getOrElse("default"), idtfr.table)
rawTable.location
}
}