Loading data with COPY FROM command returning "unhashable type: 'bytearray'"

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igor.rmarinho_185445 asked · Mar 27 at 03:49 PM

Loading data with COPY FROM command returning "unhashable type: 'bytearray'"

Hello again,

After fixed almost all my issues with COPY I have this last one, that I couldn't fix it.

[cqlsh 5.0.1 | Cassandra 3.11.3.5117 | DSE 5.1.17 | CQL spec 3.4.4 | Native protocol v4]

CREATE TABLE document_template_by_company_id (
    company_id timeuuid,
    id text,
    default_language_tag text,
    i18n map<text, blob>,
    name text,
    status text,
    PRIMARY KEY (company_id, id)

cqlsh "with header=true AND CHUNKSIZE=100 AND NULL='null' " --connect-timeout 30

           Reading options from the command line: {'header': 'true', 'null': 'null', 'chunksize': '100'}
           Using 3 child processes
 unhashable type: 'bytearray',  given up without retries

Any thought?

cassandra copy

5

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Erick Ramirez ♦♦ · Mar 27 at 11:52 PM

@igor.rmarinho_185445 It's a bit difficult to work out what the problem is but it's most likely a result of the format of the input data not matching the data type of the corresponding CQL columns.

To help us diagnose the problem, please provide an example row from each CSV input that triggers the errors so we can replicate it ourselves. Cheers!

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igor.rmarinho_185445 Erick Ramirez ♦♦ · Mar 28 at 12:02 AM

Hi Erick,

I created the second DB using the export of the shema.cql from the source so they are identical.

shift_package_by_id_v2 row

company_id	bid_id	id	assignments	created_via_integration	display_name	external_id	original_ids	quantity	shifts	status
29f5c2c0-f88d-11e9-8080-808080808080	ad066113-23c4-4ac4-b498-b68bfa057d88	052f8129-e2f7-4714-8096-913a931e87fb	[]	FALSE	1		['e1a3d0f5-83a7-44c0-bebc-31764aba6752']	1	[{day_of_week: 1, start_time_local: 08:30:00.000000000, duration: 'PT4H'}, {day_of_week: 2, start_time_local: 08:30:00.000000000, duration: 'PT4H'}, {day_of_week: 3, start_time_local: 08:30:00.000000000, duration: 'PT4H'}, {day_of_week: 4, start_time_local: 08:30:00.000000000, duration: 'PT4H'}, {day_of_week: 5, start_time_local: 08:30:00.000000000, duration: 'PT4H'}]	ACTIVE

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Erick Ramirez ♦♦ · Mar 28 at 06:40 AM

@igor.rmarinho_185445 I've logged another question on your behalf to deal with the problem with the second table separately. This is just so we're dealing with just one problem in this ticket so it's not confusing. Cheers!

0 · ·

Erick Ramirez ♦♦ · Mar 29 at 02:17 AM

I'm working through your questions and I'll be posting an answer as soon as I get through a few things. Cheers!

1 · ·

igor.rmarinho_185445 Erick Ramirez ♦♦ · Mar 29 at 05:31 PM

Thanks a lot Erick, I already everything I could to fix it without success.

0 · ·

Answer 1 · 2020-03-30T04:10:18Z

Erick Ramirez answered · Mar 30 at 04:10 AM

@igor.rmarinho_185445 The problem is possibly an issue with Python but I haven't been successful in tracking down the cause so I don't have a solution. I can replicate it with a simpler table definition like this:

CREATE TABLE community.blobmaptable (
    id text PRIMARY KEY,
    blobmapcol map<int, blob>
)

With this CSV file:

$ cat blobmap.csv 
c3,{3: 0x74776f}

I get the same error you're reporting when I try to load it:

cqlsh:community> COPY blobmaptable (id, blobmapcol) FROM '~/blobmap.csv' ;
Using 1 child processes
Starting copy of community.blobmaptable with columns [id, blobmapcol].
Failed to import 1 rows: ParseError - Failed to parse {3: 0x74776f} : unhashable type: 'bytearray',  given up without retries
Failed to process 1 rows; failed rows written to import_community_blobmaptable.err
Processed: 1 rows; Rate:       2 rows/s; Avg. rate:       3 rows/s
1 rows imported from 1 files in 0.389 seconds (0 skipped).

I've logged ticket PYTHON-1234 with Engineering to determine if it's a bug in the underlying Python driver that cqlsh uses. Cheers!

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igor.rmarinho_185445 · Mar 30 at 11:39 PM

Thanks a lot Erick! I’ll follow up the ticket.

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Erick Ramirez ♦♦ · Mar 31 at 10:07 PM

Noting here that I've also had to log CASSANDRA-15679 to have cqlsh investigated in parallel. Cheers!

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