This is an unfortunate limitation of the datasource api which does not support multiple databases. For parquet in particular (if you aren't using schema merging). You can create a hive table using STORED AS PARQUET today. I hope to fix this limitation in Spark 1.5.
On Fri, May 8, 2015 at 2:41 PM, Carlos Pereira <[email protected]> wrote: > Hi, I would like to create a hive table on top a existent parquet file as > described here: > > https://databricks.com/blog/2015/03/24/spark-sql-graduates-from-alpha-in-spark-1-3.html > > Due network restrictions, I need to store the metadata definition in a > different path than '/user/hive/warehouse', so I first set a new database > on > my own HDFS dir: > > CREATE DATABASE foo_db LOCATION '/user/foo'; > USE foo_db; > > And then I run the following query: > > CREATE TABLE mytable_parquet > USING parquet > OPTIONS (path "/user/foo/data.parquet") > > The problem is that SparkSQL is not using the same database defined the in > shell context, but the default metastore instead of: > > ---------------------------- > > CREATE TABLE mytable_parquet USING parquet OPTIONS (path > "/user/foo/data.parquet"); > 15/05/08 20:42:21 INFO metastore.HiveMetaStore: 0: get_table : *db=foo_db* > tbl=mytable_parquet > > 15/05/08 20:42:21 INFO HiveMetaStore.audit: ugi=foo ip=unknown-ip-addr > cmd=get_table : db=foo_db tbl=mytable_parquet > > 15/05/08 20:42:21 INFO metastore.HiveMetaStore: 0: create_table: > Table(tableName:mytable_parquet, *dbName:default,* owner:foo, > createTime:1431117741, lastAccessTime:0, retention:0, > sd:StorageDescriptor(cols:[FieldSchema(name:col, type:array<string>, > comment:from deserializer)], location:null, > inputFormat:org.apache.hadoop.mapred.SequenceFileInputFormat, > outputFormat:org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat, > compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, > serializationLib:org.apache.hadoop.hive.serde2.MetadataTypedColumnsetSerDe, > parameters:{serialization.format=1, path=/user/foo/data.parquet}), > bucketCols:[], sortCols:[], parameters:{}, > skewedInfo:SkewedInfo(skewedColNames:[], skewedColValues:[], > skewedColValueLocationMaps:{})), partitionKeys:[], > parameters:{EXTERNAL=TRUE, spark.sql.sources.provider=parquet}, > viewOriginalText:null, viewExpandedText:null, tableType:EXTERNAL_TABLE) > 15/05/08 20:42:21 INFO HiveMetaStore.audit: ugi=foo ip=unknown-ip-addr > cmd=create_table: Table(tableName:mytable_parquet, dbName:default, > owner:foo, createTime:1431117741, lastAccessTime:0, retention:0, > sd:StorageDescriptor(cols:[FieldSchema(name:col, type:array<string>, > comment:from deserializer)], location:null, > inputFormat:org.apache.hadoop.mapred.SequenceFileInputFormat, > outputFormat:org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat, > compressed:false, numBuckets:-1, serdeInfo:SerDeInfo(name:null, > serializationLib:org.apache.hadoop.hive.serde2.MetadataTypedColumnsetSerDe, > parameters:{serialization.format=1, path=/user/foo/data.parquet}), > bucketCols:[], sortCols:[], parameters:{}, > skewedInfo:SkewedInfo(skewedColNames:[], skewedColValues:[], > skewedColValueLocationMaps:{})), partitionKeys:[], > parameters:{EXTERNAL=TRUE, spark.sql.sources.provider=parquet}, > viewOriginalText:null, viewExpandedText:null, tableType:EXTERNAL_TABLE) > > 15/05/08 20:42:21 ERROR hive.log: Got exception: > org.apache.hadoop.security.AccessControlException Permission denied: > user=foo, access=WRITE, > inode="/user/hive/warehouse":hive:grp_gdoop_hdfs:drwxr-xr-x > ---------------------------- > > > The permission error above happens because my linux user does not have > write > access on the default metastore path. I can workaround this issue if I use > CREATE TEMPORARY TABLE and have no metadata written on disk. > > I would like to know if I am doing anything wrong here and if there is any > additional property I can use to force the database/metastore_dir I need to > write on. > > Thanks, > Carlos > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/CREATE-TABLE-ignores-database-when-using-PARQUET-option-tp22824.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] > >
