I have a TSV file and trying to load it to hive by;
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' LINES TERMINATED BY '\n'
STORED AS TEXTFILE
Problematic part here though is file contains "02\t\t\t" strings like this.
So that hive does not recognize it as tab separated and doesn't separate them.
I would like to know if there is a way to make hive understand "\t" in a string also should be field separated. I have read a book about it and saw that there are no free serdes for tsv as well.
Example Input Line:
8 fp\t\t\t dj\t\t\t 5 amz ep 02\t\t\t ar\t
Cheers,
Related
I am having a csv file as source with ; as Column Delimiter,LF as Row Delimiter and my data is enclosed within "". If i get LF(Row delimiter) in data we should not consider it as Row Delimiter.My target is Oracle database.
How to get the required output below while using informatica.
Input:
"Ram";"Hyderabad"LF
"Sita";"Hyderabad,LF
INDIA-500084."LF
Required Output should be 2 rows only:
Name Address
Ram Hyderabad
Sita Hyderabad, INDIA-500084.
Wrong Output i am getting is 3 rows:
Name Address
Ram Hyderabad
Sita Hyderabad,
INDIA-500084.
Looks to me that you need to do a find & replace on your source before processing to get rid of those LF strings within double quotes.
Unfortunatelly, Informatica probably does a split on LF to rows first, so you need to reprocess the source before Informatica reads it. Try using Command as Source and use sed.
In the 'Config Object' tab of the session put the override for 'Custom Properties' as MatchQuotesPastEndOfLine=Yes;
This will read the lines even after the LF till it sees the end of quotes.
While loading the file from mainframe into Hadoop in ORC format,some of the data loaded with Single Quotes(') and remaining with Double quotes(").But the complete source file is in Single Quote (').
To specify custom delimiters used Hive Cobol Serde.
Example:
Source data:
First_Name Last_name Address
Rev 'Har' O'Amy 4031 'B' Ave
Loaded into Hadoop as,some data with correct format(') and some with double quotes(") as below:
First_Name Last_name Address
Rev "Har" O"Amy 4031 "B" Ave
what could be the issue and how to solve this?
one possible issue might be delimiter given while your table creation
so try
ROW FORMAT SERDE ‘org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe’ WITH SERDEPROPERTIES(“serialization.encoding”=’UTF-8′); while creating hive table and then load the data.
also try using udf given in this link to remove all special characters if you want your data clean https://github.com/ogrodnek/csv-serde
I am trying to move data from a file into a hive table. The data in the file looks something like this:-
StringA StringB StringC StringD StringE
where each string is separated by a space. The problem is that i want separate columns for StringA, StringB and StringC and one column for StringD onwards i.e. StringD and String E should be part of the same column. If i use
ROW DELIMITED BY FIELDS TERMINATED BY ' ', Hive would produce separate columns for StringD and StringE. (StringD and StringE contain space within themselves whereas other strings do not contain spaces within themselves)
Is there any special syntax in hive to achieve this or do i need to pre-process my data file in some way?
Use regular expresion
https://cwiki.apache.org/confluence/display/Hive/GettingStarted#GettingStarted-ApacheWeblogData
you can define when use space as delimiter and when part of data
I have files where the column is delimited by char(30) and the lines are delimited by char(31). I'm using these delimiters mainly because the columns may contain newline (\n), so the default line delimiter for hive is not useful for us.
I have tried to change the line delimiter in hive but get the error below:
LINES TERMINATED BY only supports newline '\n' right now.
Any suggestion?
Write custom SerDe may work?
is there any plan to enhance this functionality in hive in new releases?
thanks
Not sure if this helps, or is the best answer, but when faced with this issue, what we ended up doing is setting the 'textinputformat.record.delimiter' Map/Reduce java property to the value being used. In our case it was a string "{EOL}", but could be any unique string for all practical purposes.
We set this in our beeline shell which allowed us to pull back the fields correctly. It should be noted that once we did this, we converted the data to Avro as fast as possible so we didn't need to explain to every user, and the user's baby brother, to set the {EOL} line delimiter.
set textinputformat.record.delimiter={EOL};
Here is the full example.
#example CSV data (fields broken by '^' and end of lines broken by the String '{EOL}'
ID^TEXT
11111^Some THings WIth
New Lines in THem{EOL}11112^Some Other THings..,?{EOL}
111113^Some crazy thin
gs
just crazy{EOL}11114^And Some Normal THings.
#here is the CSV table we laid on top of the data
CREATE EXTERNAL TABLE CRAZY_DATA_CSV
(
ID STRING,
TEXT STRING
)
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\136'
STORED AS TEXTFILE
LOCATION '/archive/CRAZY_DATA_CSV'
TBLPROPERTIES('skip.header.line.count'='1');
#here is the Avro table which we'll migrate into below.
CREATE EXTERNAL TABLE CRAZY_DATA_AVRO
(
ID STRING,
TEXT STRING
)
STORED AS AVRO
LOCATION '/archive/CRAZY_DATA_AVRO'
TBLPROPERTIES ('avro.schema.url'='hdfs://nameservice/archive/avro_schemas/CRAZY_DATA.avsc');
#And finally, the magic is here. We set the custom delimiter and import into our Avro table.
set textinputformat.record.delimiter={EOL};
INSERT INTO TABLE CRAZY_DATA_AVRO SELECT * from CRAZY_DATA_CSV;
I have worked it out by using the option during the extract --hive-delims-replacement ' ' in sqoop so the characters \n \001 \r are removed from the columns.
I do have a flat file with not a fixed structure like
name,phone_num,Address
bob,8888,2nd main,5th floor,avenue road
Here the last column Address has the value 2nd main,5th floor,avenue road but since the same delimeter , is used for seperating columns also i am not getting any clue how to handle the same.
the structure of flat file may change from file to file.
How to handle such kind of flat files while importing using Informatica or SQL * Loader or UTL Files
I will not have any access to flat file just i should read the data from it but i can't edit the data in flat file.
Using SQLLoader
load data
append
into table schema.table
fields terminated by '~'
trailing nullcols
(
line BOUNDFILLER,
name "regexp_substr(:line, '^[^,]+')",
phone_num "regexp_substr(:line, '[^,]+', 1, 2)",
Address "regexp_replace(:line, '^.*?,.*?,')"
)
you need to change your source file to enclose the fields in an escape character eg:
name,phone_num,Address
bob,8888,^2nd main,5th floor,avenue road^
then in sql-loader you'd put:
FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '^'
just pick a delimiter that doesn't normally appear in your data.
If you could get the source data enclosed within double quotes ( or any quotes for that matter) you can make use of 'Optional Quotes' option in Informatica while reading from Flat file