Hive: How to deal with files that comprise unfixed number of fields?
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Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:
uid1, eid01, para1, para2, para3,para4,para5,timestamp
uid1, eid12, para56, para57, timestamp
uid3, eid42, para102,timestamp
The number of fields is not fixed.
Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:
uid eid para datatime
uid1 eid01 para1, para2, para3,para4,para5 timestamp
uid1 eid12 para56, para57 timestamp
uid3 eid42 para102 timestamp
The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?
Any help is appreciated.
hadoop hive
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
add a comment |
Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:
uid1, eid01, para1, para2, para3,para4,para5,timestamp
uid1, eid12, para56, para57, timestamp
uid3, eid42, para102,timestamp
The number of fields is not fixed.
Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:
uid eid para datatime
uid1 eid01 para1, para2, para3,para4,para5 timestamp
uid1 eid12 para56, para57 timestamp
uid3 eid42 para102 timestamp
The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?
Any help is appreciated.
hadoop hive
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
add a comment |
Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:
uid1, eid01, para1, para2, para3,para4,para5,timestamp
uid1, eid12, para56, para57, timestamp
uid3, eid42, para102,timestamp
The number of fields is not fixed.
Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:
uid eid para datatime
uid1 eid01 para1, para2, para3,para4,para5 timestamp
uid1 eid12 para56, para57 timestamp
uid3 eid42 para102 timestamp
The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?
Any help is appreciated.
hadoop hive
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
Dealing with a file on HDFS that comprises different num of fields separated by ','. For instance:
uid1, eid01, para1, para2, para3,para4,para5,timestamp
uid1, eid12, para56, para57, timestamp
uid3, eid42, para102,timestamp
The number of fields is not fixed.
Now I want to put these data into a Hive table that has 4 columns, and all fields of 'para..' in one colume like:
uid eid para datatime
uid1 eid01 para1, para2, para3,para4,para5 timestamp
uid1 eid12 para56, para57 timestamp
uid3 eid42 para102 timestamp
The data amount is so large that I cannot deal with it using tools like AWK. Is there any other solution?
Any help is appreciated.
hadoop hive
hadoop hive
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
edited Nov 22 '18 at 8:44
user2894829
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
asked Nov 22 '18 at 8:38
user2894829user2894829
1199
1199
add a comment |
add a comment |
1 Answer
1
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create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.
create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp
when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)
answered Nov 22 '18 at 8:51
TomTom
1,5381336
well thanks for your reply. I thinksplit()andreverse()can achieve my target.
– user2894829
Nov 22 '18 at 9:17
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.
create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp
when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)
answered Nov 22 '18 at 8:51
TomTom
1,5381336
well thanks for your reply. I thinksplit()andreverse()can achieve my target.
– user2894829
Nov 22 '18 at 9:17
add a comment |
create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.
create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp
when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)
answered Nov 22 '18 at 8:51
TomTom
1,5381336
well thanks for your reply. I thinksplit()andreverse()can achieve my target.
– user2894829
Nov 22 '18 at 9:17
add a comment |
create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.
create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp
when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)
answered Nov 22 '18 at 8:51
TomTom
1,5381336
create a temp hive table such as t_data_tmp(line string) , it has only one column. Load the data in hdfs file to t_data_tmp, per line will be one row.
create a hive table t_data with your schema, and insert overwrite t_data as select from t_data_tmp
when select form t_data_tmp, using hive functions for string(position, substr) to figure out value for each column(using the second comma and last comma as the splitter)
answered Nov 22 '18 at 8:51
TomTom
1,5381336
answered Nov 22 '18 at 8:51
TomTom
1,5381336
answered Nov 22 '18 at 8:51
TomTom
1,5381336
answered Nov 22 '18 at 8:51
TomTom
1,5381336
1,5381336
well thanks for your reply. I thinksplit()andreverse()can achieve my target.
– user2894829
Nov 22 '18 at 9:17
add a comment |
well thanks for your reply. I thinksplit()andreverse()can achieve my target.
– user2894829
Nov 22 '18 at 9:17
well thanks for your reply. I think
split() and reverse() can achieve my target.– user2894829
Nov 22 '18 at 9:17
well thanks for your reply. I think
split() and reverse() can achieve my target.– user2894829
Nov 22 '18 at 9:17
add a comment |
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