I convert a binary file to json with the following command with flatbuffers.
flatc --json schema.fbs -- model.blob
When I try to immediately convert the json back to a binary with this command
flatc -b schema.fbs model.json
It throws an error
error: unexpected force_align value '64', alignment must be a power of two integer ranging from the type's natural alignment 1 to 16
It points to the very last line of the json file as the problem. Does anybody know the problem? Could it be escape sequences?
Is there a force_align: 64 somewhere in schema.fbs ? That would be the real source of the problem. It ignores this attribute when generating the JSON, but i
Related
I have a data stored in .Rda format which I want to upload on Python pandas to create a data frame.I am using pyreadr library to do it. However, It's throwing up an error -
LibrdataError: Unable to convert string to the requested encoding (invalid byte sequence)
Your data is in an encoding different from utf-8. pyreadr supports only utf-8 data. Unfortunately nothing can be done to fix it at the moment. The limitation is explained in the README and also tracked in this issue
When I run a query in Biquery using the command line bq query and indicating a text_file.sql containing the query, I got this error. The query was working using the bigquery console (https://console.cloud.google.com/bigquery?xxxxxxxx). I chose UTF-8.
How should I handle this syntax error?
Please check file format is correct or not. because this issue is due file type other than UTF-8 LF in my case.
when i was change file format to UTF-8 it was running file for me.
I have a column with a varchar and want to convert it to a JSON by parse_Json.
({u'meta': {u'removedAt': None, u'validation': {u'createdTime': 157....)
When I use :
select get_path(PARSE_JSON(OFFER), 'field') from
this error occours: SQL-Fehler [100069] [22P02]: Error parsing JSON: missing colon, pos 3.
So I try to add a Colon at position 3
select get_path(PARSE_JSON(REPLACE (offer,'u','u:')), 'field') from
So this error occurred SQL-Fehler [100069] [22P02]: Error parsing JSON: misplaced colon, pos 10
By now I don't know how do handle this and the information by snowflake doesnt really help.
https://support.snowflake.net/s/article/error-error-parsing-json-missing-comma-pos-number
Thanks for your help
Your 'JSON input' is actually a Python representation string of its dictionary data structure, and is not a valid JSON format. While dictionaries in Python may appear similar to JSON when printed in an interactive shell, they are not the same.
To produce valid JSON from your Python objects, use the json module's dump or dumps functions, and then use the proper string serialized JSON form in your parse_json function.
I am trying to load a 3GB (24 Million rows) csv file to greenplum database using gpload functionality but I keep getting the below error
Error -
invalid byte sequence for encoding "UTF8": 0x8d
I have tried solution provided by Mike but for me, my client_encoding and file encoding are already the same. Both are UNICODE.
Database -
show client_encoding;
"UNICODE"
File -
file my_file_name.csv
my_file_name.csv: UTF-8 Unicode (with BOM) text
I have browsed through Greenplum's documentation as well, which says the encoding of external file and database should match. It is matching in my case yet somehow it is failing.
I have uploaded similar smaller files as well (same UTF-8 Unicode (with BOM) text)
Any help is appreciated !
Posted in another thread - use the iconv command to strip these characters out of your file. Greenplum is instantiated using a character set, UTF-8 by default, and requires that all characters be of the designated character set. You can also choose to log these errors with the LOG ERRORS clause of the EXTERNAL TABLE. This will trap the bad data and allow you to continue up to set LIMIT that you specify during create.
iconv -f utf-8 -t utf-8 -c file.txt
will clean up your UTF-8 file, skipping all the invalid characters.
-f is the source format
-t the target format
-c skips any invalid sequence
I have a csv file with about 9 million rows. While processing it in Python, I got an error:
UnicodeEncodeError: 'charmap' codec can't encode character '\xe9' in position 63: character maps to undefined
Turns out the string is Beyonc\xe9 . So I guess it's something like é.
I tried just printing '\xe' in Python and it failed:
>>> print('\xe')
File "<stdin>", line 1
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 0-2: truncated \xXX escape
So I can't even replace or strip the backslash by s.replace('\\x', '') or s.strip('\\x').
Is there a quick way to fix this over the whole file? I tried to set the encoding while reading the file:
pandas.read_csv(inputFile, encoding='utf-8')
but it didn't help. Same problem.
Python version:
python --version
Python 3.5.2
although I installed 3.6.5
Windows 10
Update:
Following #Matti's answer I changed the encoding in pandas.read_csv() to latin1 and now the string became Beyonc\xc3\xa9. And \xc3\xa9 is unicode for é.
This is the line that's failing:
print(str(title) + ' , ' + str(artist))
title = 'Crazy In Love'
artist = 'Beyonc\xc3\xa9'
api is from lyricsgenius
The '\xe9' in the error message isn't an actual backslash followed by letters, it's just a representation of a single byte in the file. Your file is probably encoded as Latin-1, not UTF-8 as you specify. Specify 'latin1' as the encoding instead.