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Posted to issues@carbondata.apache.org by "Pallavi Singh (JIRA)" <ji...@apache.org> on 2017/08/29 05:47:00 UTC
[jira] [Created] (CARBONDATA-1421) Auto Compaction Failing in
CarbonData Loading
Pallavi Singh created CARBONDATA-1421:
-----------------------------------------
Summary: Auto Compaction Failing in CarbonData Loading
Key: CARBONDATA-1421
URL: https://issues.apache.org/jira/browse/CARBONDATA-1421
Project: CarbonData
Issue Type: Bug
Components: data-load
Affects Versions: 1.2.0
Reporter: Pallavi Singh
Fix For: 1.2.0
I ran the create query followed by multiple load queries and the auto-compaction is failing.
0: jdbc:hive2://localhost:10000> LOAD DATA inpath 'hdfs://localhost:54310/data/4000_UniqData.csv' INTO table uniqdata options('DELIMITER'=',', 'FILEHEADER'='CUST_ID, CUST_NAME, ACTIVE_EMUI_VERSION, DOB, DOJ, BIGINT_COLUMN1, BIGINT_COLUMN2, DECIMAL_COLUMN1, DECIMAL_COLUMN2, Double_COLUMN1, Double_COLUMN2, INTEGER_COLUMN1');
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (1.183 seconds)
0: jdbc:hive2://localhost:10000> LOAD DATA inpath 'hdfs://localhost:54310/data/5000_UniqData.csv' INTO table uniqdata options('DELIMITER'=',', 'FILEHEADER'='CUST_ID, CUST_NAME, ACTIVE_EMUI_VERSION, DOB, DOJ, BIGINT_COLUMN1, BIGINT_COLUMN2, DECIMAL_COLUMN1, DECIMAL_COLUMN2, Double_COLUMN1, Double_COLUMN2, INTEGER_COLUMN1');
Error: java.lang.Exception: Dataload is success. Auto-Compaction has failed. Please check logs. (state=,code=0)
0: jdbc:hive2://localhost:10000> LOAD DATA inpath 'hdfs://localhost:54310/data/7000_UniqData.csv' INTO table uniqdata options('DELIMITER'=',', 'FILEHEADER'='CUST_ID, CUST_NAME, ACTIVE_EMUI_VERSION, DOB, DOJ, BIGINT_COLUMN1, BIGINT_COLUMN2, DECIMAL_COLUMN1, DECIMAL_COLUMN2, Double_COLUMN1, Double_COLUMN2, INTEGER_COLUMN1');
Error: java.lang.Exception: Dataload is success. Auto-Compaction has failed. Please check logs. (state=,code=0)
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000>
0: jdbc:hive2://localhost:10000> show segments for table uniqdata;
+--------------------+----------+--------------------------+--------------------------+--+
| SegmentSequenceId | Status | Load Start Time | Load End Time |
+--------------------+----------+--------------------------+--------------------------+--+
| 4 | Success | 2017-08-29 10:37:13.053 | 2017-08-29 10:37:13.888 |
| 3 | Success | 2017-08-29 10:36:57.851 | 2017-08-29 10:36:59.08 |
| 2 | Success | 2017-08-29 10:36:49.439 | 2017-08-29 10:36:50.373 |
| 1 | Success | 2017-08-29 10:36:37.365 | 2017-08-29 10:36:38.768 |
| 0 | Success | 2017-08-29 10:36:21.011 | 2017-08-29 10:36:26.1 |
+--------------------+----------+--------------------------+--------------------------+--+
5 rows selected (0.099 seconds)
0: jdbc:hive2://localhost:10000> LOAD DATA inpath 'hdfs://localhost:54310/data/7000_UniqData.csv' INTO table uniqdata options('DELIMITER'=',', 'FILEHEADER'='CUST_ID, CUST_NAME, ACTIVE_EMUI_VERSION, DOB, DOJ, BIGINT_COLUMN1, BIGINT_COLUMN2, DECIMAL_COLUMN1, DECIMAL_COLUMN2, Double_COLUMN1, Double_COLUMN2, INTEGER_COLUMN1');
Error: java.lang.Exception: Dataload is success. Auto-Compaction has failed. Please check logs. (state=,code=0)
0: jdbc:hive2://localhost:10000> show segments for table uniqdata;
+--------------------+----------+--------------------------+--------------------------+--+
| SegmentSequenceId | Status | Load Start Time | Load End Time |
+--------------------+----------+--------------------------+--------------------------+--+
| 5 | Success | 2017-08-29 10:38:15.727 | 2017-08-29 10:38:16.548 |
| 4 | Success | 2017-08-29 10:37:13.053 | 2017-08-29 10:37:13.888 |
| 3 | Success | 2017-08-29 10:36:57.851 | 2017-08-29 10:36:59.08 |
| 2 | Success | 2017-08-29 10:36:49.439 | 2017-08-29 10:36:50.373 |
| 1 | Success | 2017-08-29 10:36:37.365 | 2017-08-29 10:36:38.768 |
| 0 | Success | 2017-08-29 10:36:21.011 | 2017-08-29 10:36:26.1 |
+--------------------+----------+--------------------------+--------------------------+--+
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