I am trying to import all tables from mysql schema to hive by using blow sqoop query:-
sqoop import-all-tables --connect jdbc:mysql://ip-172-31-20-247:3306/retail_db --username sqoopuser -P --hive-import --hive-import --create-hive-table -m 3
it is saying ,
18/09/01 09:24:52 ERROR tool.ImportAllTablesTool: Encountered IOException running import job: org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory
hdfs://ip-172-31-35-141.ec2.internal:8020/user/kumarrupesh2389619/categories already exists
Run the below command
hdfs dfs -rmr /user/kumarrupesh2389619/categories
Your command is failing since the directory already exists.
Related
I am trying to sqoop hive view to SQL server database however i'm getting "object not found error". Does sqoop export works for hive views?
sqoop export --connect 'jdbc:jtds:sqlserver:<Connection String>' --table 'tax_vw' --hcatalog-database default --hcatalog-table tax_vw --connection-manager org.apache.sqoop.manager.SQLServerManager --driver net.sourceforge.jtds.jdbc.Driver --username XXX --password YYY --update-mode allowinsert
INFO hive.metastore: Connected to metastore. ERROR tool.ExportTool:
Encountered IOException running export job: java.io.IOException:
NoSuchObjectException(message:default.tax_vw table not found)
Need help on this.
Unfortunately, this is not possible to do using sqoop export, even if --hcatalog-table specified, it works only with tables and if not in HCatalog mode, it supports only exporting from directories, also no queries are supported in sqoop-export.
You can load your view data into table:
create table tax_table as select * from default.tax_vw;
And use --hcatalog-table tax_table
Im using the below command for importing data from sqlserver to Azure blob storage
sqoop import -Dorg.apache.sqoop.splitter.allow_text_splitter=true --connect "jdbc:sqlserver://server-IP;database=database_name;username=user;password=password"
--username test --password "password" --query "select top 5 * from employ where \$CONDITIONS" --delete-target-dir --target-dir 'wasb://sample#workingclusterblob.blob.core.windows.net/source/employ'
-m 1
getting below error
18/01/30 03:35:45 INFO tool.ImportTool: Destination directory wasb://sample#workingclusterblob.blob.core.windows.net/source/employ is not present, hence not deleting.
18/01/30 03:35:45 INFO mapreduce.ImportJobBase: Beginning query import.
18/01/30 03:35:46 INFO client.AHSProxy: Connecting to Application History server at headnodehost/10.0.0.19:10200
18/01/30 03:35:46 ERROR tool.ImportTool: Encountered IOException running import job: org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory wasb://sample#workingclusterblob.blob.core.windows.net/source/employ already exists
Logs statement are confusing which tells both as not present for deleting and present while writing.
From Apache Sqoop user guide:
By default, imports go to a new target location. If the destination
directory already exists in HDFS, Sqoop will refuse to import and
overwrite that directory’s contents. If you use the --append argument,
Sqoop will import data to a temporary directory and then rename the
files into the normal target directory in a manner that does not
conflict with existing filenames in that directory.
I'm not in the Azure environment to reproduce and validate the solution, But Try adding the --append to your sqoop import and let me know.
sqoop import -Dorg.apache.sqoop.splitter.allow_text_splitter=true --connect "jdbc:sqlserver://server-IP;database=database_name;username=user;password=password"
--username test --password "password" --query "select top 5 * from employ where \$CONDITIONS" --delete-target-dir --append --target-dir 'wasb://sample#workingclusterblob.blob.core.windows.net/source/employ'
-m 1
I'm trying to import data from Oracle to HDFS using Sqoop. Oracle version: 10.2.0.2
Table is not having constraints. When I mention number of mappers(-m) and --split-by parameters, it's showing the error: No more data to read from socket. If I mention -m 1(setting the number of mappers as 1), it's running, but taking too much time.
Sqoop command:
sqoop import --connect jdbc:oracle:thin:#host:port:SID --username uname --password pwd --table abc.market_price --target-dir /ert/etldev/etl/market_price -m 4 --split-by MNTH_YR
Please help me.
Instead of giving the num of mappers why dont you try using --direct ..
what does it show then??
sqoop import --connect jdbc:oracle:thin:#host:port:SID --username uname --password pwd --table abc.market_price --target-dir /ert/etldev/etl/market_price --direct
or
sqoop import --connect jdbc:oracle:thin:#host:port:SID --username uname --password pwd --table abc.market_price --target-dir /ert/etldev/etl/market_price --split-by MNTH_YR --direct
I am importing all tables from rdbms to hive using the sqoop command(v1.4.6).
Below is the command
sqoop-import-all-tables --verbose --connect jdbcconnection --username user --password pass --hive-import -m 1
This command works fine and it is loading all the tables in default schema.Is there a way to load the tables in particular schema?
Regards
Prakash
Use --hive-database <db name> in your import query.
Modified command:
sqoop-import-all-tables --verbose --connect jdbcconnection --username user --password pass --hive-import --hive-database new_db -m 1
I am trying to load a table from mysql to hive using --hive-import in parquet format, We want to do incremental update of hive table. When we try below command. its failing with the error mentioned below. Can anybody please help here.
sqoop job --create users_test_hive -- import --connect 'jdbc:mysql://dbhost/dbname?characterEncoding=utf8&dontTrackOpenResources=true&defaultFetchSize=1000&useCursorFetch=true&useUnicode=yes&characterEncoding=utf8' --table users --incremental lastmodified --check-column n_last_updated --username username --password password --merge-key user_id --mysql-delimiters --as-parquetfile --hive-import --warehouse-dir /usr/hive/warehouse/ --hive-table users_test_hive.
Error while running it.
16/02/27 21:33:17 INFO mapreduce.Job: Task Id : attempt_1454936520418_0239_m_000000_1, Status : FAILED
Error: parquet.column.ParquetProperties.newColumnWriteStore(Lparquet/schema/MessageType;Lparquet/column/page/PageWriteStore;I)Lparquet/column/ColumnWriteStore;