I have a csv file which I am reading thru pyspark and loading into postgresql. One of its field is having strings which have coma and double quotes within the string. Like example below -
1. "RACER ""K"", P.L. 9"
2. "JENIS, B. S. ""N"" JENIS, F. T. ""B"" 5"
Pyspark is parsing it as below. Which is causing issue because it is mixing up the values/columns when I load the data into postgresql and script fail.
1. '\"RACER \"\"K\"\"'
2. '\"JENIS, B. S. \"\"N\"\" JENIS'
I am using spark 2.42. How can this situation be handled in pyspark?
Basically I want to program to ignore coma or double quotes if it is coming inside double quotes.
You can try and remove the comma and double quotes using pandas before reading and loading into postgresql.
You can use str.replace:
df['column_name'] = df['column_name'].str.replace(r"[\"\',]", '')
Related
How to rename column "RANDY'S" to 'RANDYS' in pyspark?
I tried below code and its not working
test_rename_df=df.withColumnRenamed('"RANDY''S"','RANDYS')
Note that original column name has double quotes around it
enter image description here
You're adding too many quotes around the original column name. Try this:
test_rename_df = df.withColumnRenamed("RANDY\'S", "RANDYS")
Side-note
When you call df.columns, the column RANDY'S is surrounded by double quotes instead of single quotes to avoid confusion.
If your column had the name RANDY"S, df.columns would instead use single quotes around the column name (see screenshot below):
I have a glue job, in which am reading table from SF using soql:
df = (
spark.read.format("com.springml.spark.salesforce")
.option("soql", sql)
.option("queryAll", "true")
.option("sfObject", sf_table)
.option("bulk", bulk)
.option("pkChunking", pkChunking)
.option("version", "51.0")
.option("timeout", "99999999")
.option("username", login)
.option("password", password)
.load()
)
and whenever there is a combination of double-quotes and commas in the string it messes up my table schema, like so:
in source:
Column A
Column B
Column C
000AB
"text with, comma"
123XX
read from SF in df :
Column A
Column B
Column C
000AB
"text with
comma"
Is there any option to avoid such cases when this comma is treated as a delimiter? I tried various options but nothing worked. And SOQL doesn't accept REPLACE or SUBSTRING functions, their text manipulation functions are, well, basically there aren't any.
All the information I'm giving need to be tested. I do not have the same env so it is difficult for me to try anything but here is what I foud.
When you check the official doc, you find that there is a field metadataConfig. The documentation of this field can be found here : https://resources.docs.salesforce.com/sfdc/pdf/bi_dev_guide_ext_data_format.pdf
On page 2, csv format, it says :
If a field value contains a control character or a new line the field value must be contained within double quotes (or your
fieldsEscapedBy value). The default control characters (fieldsDelimitedBy, fieldsEnclosedBy,
fieldsEscapedBy, or linesTerminatedBy) are comma and double quote. For example, "Director of
Operations, Western Region".
which kinda sounds like you current problem.
By default, the values are comma and double quotes, so, I do not understand why it is failing. But, apparently, in your output, it keeps the double quotes, so, maybe, it considers only simple quote.
You should try to enforce the format and add in you code :
.option("metadataConfig", '{"fieldsEnclosedBy": "\"", "fieldsDelimitedBy": ","}')
# Or something similar - i could'nt test, so you need to try by yourself
I'm trying to export data to csv from clickhouse cli.
I have a field which is string and when exported to CSV this field has quotes around it.
I want to export without the quotes but couldn't find any setting that can be set.
I went through https://clickhouse.yandex/docs/en/interfaces/formats but the Values section mentions
Strings, dates, and dates with times are output in quotes
While for JSON they have a flag that is to be set for removing quotes around Int64 and UInt64
For compatibility with JavaScript, Int64 and UInt64 integers are enclosed in double quotes by default. To remove the quotes, you can set the configuration parameter output_format_json_quote_64bit_integers to 0.
I was wondering if there is such kind of flag for strings in CSV as well.
I'm exporting using the below command
clickhouse client --multiquery --host="localhost" --port="9000" --query="SELECT field1, field2 from tableName format CSV" > /data/content.csv
I want to try removing the quotes from the shell as the last thing if nothing works.
Any help on the way I can remove the quotes while the CSV is generated would be appreciated.
Nope, there isn't. However you can easily achieve this by arrayStringConcat.
SELECT arrayStringConcat([toString(field1), toString(field2)], ',') from tableName format TSV;
Edit
In order to make Nullable output as empty string, you might need if function.
if(isNull(field1), '', assumeNotNull(field1))
This works for any types, while assumeNotNull alone only works for String
I am new to Azure data lake analytics, I am trying to load a csv which is double quoted for sting and there are quotes inside a column on some random rows.
For example
ID, BookName
1, "Life of Pi"
2, "Story about "Mr X""
When I try loading, it fails on second record and throwing an error message.
1, I wonder if there is a way to fix this in csv file, unfortunatly we cannot extract new from source as these are log files?
2, is it possible to let ADLA to ignore the bad rows and proceed with rest of the records?
Execution failed with error '1_SV1_Extract Error :
'{"diagnosticCode":195887146,"severity":"Error","component":"RUNTIME","source":"User","errorId":"E_RUNTIME_USER_EXTRACT_ROW_ERROR","message":"Error
occurred while extracting row after processing 9045 record(s) in the
vertex' input split. Column index: 9, column name:
'instancename'.","description":"","resolution":"","helpLink":"","details":"","internalDiagnostics":"","innerError":{"diagnosticCode":195887144,"severity":"Error","component":"RUNTIME","source":"User","errorId":"E_RUNTIME_USER_EXTRACT_EXTRACT_INVALID_CHARACTER_AFTER_QUOTED_FIELD","message":"Invalid
character following the ending quote character in a quoted
field.","description":"Invalid character is detected following the
ending quote character in a quoted field. A column delimiter, row
delimiter or EOF is expected.\nThis error can occur if double-quotes
within the field are not correctly escaped as two
double-quotes.","resolution":"Column should be fully surrounded with
double-quotes and double-quotes within the field escaped as two
double-quotes."
As per the error message, if you are importing a quoted csv, which has quotes within some of the columns, then these need to be escaped as two double-quotes. In your particular example, you second row needs to be:
..."Life after death and ""good death"" models - a qualitative study",...
So one option is to fix up the original file on output. If you are not able to do this, then you can import all the columns as one column, use RegEx to fix up the quotes and output the file again, eg
// Import records as one row then use RegEx to clean columns
#input =
EXTRACT oneCol string
FROM "/input/input132.csv"
USING Extractors.Text( '|', quoting: false );
// Fix up the quotes using RegEx
#output =
SELECT Regex.Replace(oneCol, "([^,])\"([^,])", "$1\"\"$2") AS cleanCol
FROM #input;
OUTPUT #output
TO "/output/output.csv"
USING Outputters.Csv(quoting : false);
The file will now import successfully. My results:
I want to load on a flex table a log in which each record is composed by some fields + a JSON, the format is the following:
"concorde-fe";"DETAILS.SHOWN";"1bcilyejs6d4w";"2017-01-31T00:00:04.801Z";"2017-01-31T00:00:04.714Z";"{"requestedFrom":"BUTTON","tripId":{"request":3003926837969,"mac":"v01162450701"}}"
and (after many tries) I'm using the COPY command with a CSV parser in this way:
COPY schema.flex_table from local 'C:\temp/test.log' parser fcsvparser(delimiter=';',header=false, trim=true, type='traditional')
in this way all is loaded correctly except the JSON, that is skipped and left empty.
Is there a way to load also the JSON as a string?
HINT: just for test puposes, I noticed that if in the JSON I put a '\' before every '"' in the log, the loading runs smoothly, but unfortunately I cannot modify the content of the log.
Not without modifying the file beforehand - or writing your own UDParser function.
It clearly is a strange format: CSV (well, semicolon delimited and with double quotes as string enclosers), until the children appear - which are stored with a leading double quote and a trailing double quote; doubly nested with curly braces - JSON type, ok. But you have double quotes (not doubled) within the JSON encoding - any parser would go astray on those.
You'll have to write a program (ideally in C) to remove the curly braces, to remove the column names in the JSON code and leave just a CSV line
So, from the line (the backslash at the end means an escaped newline, meaning that the three lines you see are actually one line, for readability)
"concorde-fe";"DETAILS.SHOWN";"1bcilyejs6d4w";"2017-01-31T00:00:04.801Z"; \
"2017-01-31T00:00:04.714Z"; \
"{"requestedFrom":"BUTTON","tripId":{"request":3003926837969,"mac":"v01162450701"}}"
you make (title line with column names, then data line)
col1;col2;col3;timestampz1;\
timestampz2;requestedfrom;tripid_request;tripid_mac
"concorde-fe";"DETAILS.SHOWN";"1bcilyejs6d4w";"2017-01-31T00:00:04.801Z"; \
"2017-01-31T00:00:04.714Z";"BUTTON";3003926837969;"v01162450701"
Finally, you'll be able to load it as a CSV file - and maybe you will have to then normalise everything again: tripIdseems to be a dependent structure ....
Good luck
Marco the Sane