https://linen.dev logo
Join Slack
Powered by
<@U04SE163WC8> does airbyte count the total record...
# ask-ai
a
@kapa.ai does airbyte count the total records of a stream during sync, and is there a way to access it ?
k
Yes, Airbyte does count the total records of a stream during a sync. This information is displayed on the Connection Status page. The sync progress feature displays record counts and sync duration for each stream during a sync, as well as which streams are syncing and when a connection sync is actively running. The Connection Status Page also now shows counts from the last time each enabled stream synced. Each stream individually displays stream status, which helps users troubleshoot by indicating exactly which streams are erroring [source](https://docs.airbyte.com/release_notes/june_2024#-highlights).
A message from kapa.ai
Yes, Airbyte does count the total records of a stream during a sync. This information is displayed on the Connection Status page. The sync progress feature displays record counts and sync duration for each stream during a sync, as well as which streams are syncing and when a connection sync is actively running. The Connection Status Page also now shows counts from the last time each enabled stream synced. Each stream individually displays stream status, which helps users troubleshoot by indicating exactly which streams are erroring [source](https://docs.airbyte.com/release_notes/june_2024#-highlights).
a
@kapa.ai is there a way I can access this count with api or anythign ?
k
A message from kapa.ai
I'm sorry, but based on the provided knowledge sources, there's no specific information about accessing the record count via an API or any other method. However, Airbyte is an open-source project, and it provides various ways to interact with it, including APIs. I would recommend checking the official Airbyte documentation or their GitHub repository for more detailed information.
a
@kapa.ai 2024-07-16 074444 ERROR i.a.c.i.b.AirbyteExceptionHandler(uncaughtException):64 - Something went wrong in the connector. See the logs for more details. 199 2024-07-16 074444 source > java.lang.RuntimeException: java.lang.RuntimeException 200 2024-07-16 074444 source > at io.airbyte.integrations.source.sftp.SftpSource.lambda$getFileDataIterator$4(SftpSource.java:150) ~[io.airbyte.airbyte-integrations.connectors-source-sftp-0.50.50.jar:?] 201 2024-07-16 074444 source > at io.airbyte.commons.util.LazyAutoCloseableIterator.computeNext(LazyAutoCloseableIterator.java:41) ~[airbyte-cdk-dependencies-0.20.4.jar:?] 202 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) ~[guava-33.0.0-jre.jar:?] 203 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) ~[guava-33.0.0-jre.jar:?] 204 2024-07-16 074444 source > at com.google.common.collect.TransformedIterator.hasNext(TransformedIterator.java:46) ~[guava-33.0.0-jre.jar:?] 205 2024-07-16 074444 source > at io.airbyte.commons.util.DefaultAutoCloseableIterator.computeNext(DefaultAutoCloseableIterator.java:42) ~[airbyte-cdk-dependencies-0.20.4.jar:?] 206 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) ~[guava-33.0.0-jre.jar:?] 207 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) ~[guava-33.0.0-jre.jar:?] 208 2024-07-16 074444 source > at io.airbyte.commons.util.CompositeIterator.computeNext(CompositeIterator.java:74) ~[airbyte-cdk-dependencies-0.20.4.jar:?] 209 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) ~[guava-33.0.0-jre.jar:?] 210 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) ~[guava-33.0.0-jre.jar:?] 211 2024-07-16 074444 source > at io.airbyte.commons.util.DefaultAutoCloseableIterator.computeNext(DefaultAutoCloseableIterator.java:42) ~[airbyte-cdk-dependencies-0.20.4.jar:?] 212 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:145) ~[guava-33.0.0-jre.jar:?] 213 2024-07-16 074444 source > at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:140) ~[guava-33.0.0-jre.jar:?] 214 2024-07-16 074444 source > at java.base/java.util.Iterator.forEachRemaining(Iterator.java:132) ~[?:?] 215 2024-07-16 074444 source > at io.airbyte.cdk.integrations.base.IntegrationRunner.produceMessages(IntegrationRunner.java:236) ~[airbyte-cdk-core-0.20.4.jar:?] 216 2024-07-16 074444 source > at io.airbyte.cdk.integrations.base.IntegrationRunner.readSerial(IntegrationRunner.java:276) ~[airbyte-cdk-core-0.20.4.jar:?] 217 2024-07-16 074444 source > at io.airbyte.cdk.integrations.base.IntegrationRunner.runInternal(IntegrationRunner.java:173) ~[airbyte-cdk-core-0.20.4.jar:?] 218 2024-07-16 074444 source > at io.airbyte.cdk.integrations.base.IntegrationRunner.run(IntegrationRunner.java:125) ~[airbyte-cdk-core-0.20.4.jar:?] 219 2024-07-16 074444 source > at io.airbyte.integrations.source.sftp.SftpSource.main(SftpSource.java:37) ~[io.airbyte.airbyte-integrations.connectors-source-sftp-0.50.50.jar:?] 220 2024-07-16 074444 source > Caused by: java.lang.RuntimeException 221 2024-07-16 074444 source > at io.airbyte.integrations.source.sftp.SftpCommand.getFileData(SftpCommand.java:123) ~[io.airbyte.airbyte-integrations.connectors-source-sftp-0.50.50.jar:?] 222 2024-07-16 074444 source > at io.airbyte.integrations.source.sftp.SftpSource.lambda$getFileDataIterator$4(SftpSource.java:147) ~[io.airbyte.airbyte-integrations.connectors-source-sftp-0.50.50.jar:?] 223 2024-07-16 074444 source > ... 19 more
k
A message from kapa.ai
Sorry @Ahmed Hamid, I seem to be having a bit of trouble. Don't worry though, I've pinged my support folks and they will try to fix me up! 🧑‍💻 Perhaps try again in 5mins?
a
@kapa.ai is there a way to detect if the number of records in my destination is extremely lower than my source table and stop the sync
k
A message from kapa.ai
Yes, there is a way to detect if the number of records in your destination is lower than your source table and stop the sync. This feature was discussed in a closed Github issue. The idea is that if the platform detects that the record count from the source does not equal the record count returned by the destination, the platform should fail the sync immediately, allowing any retries to kick in. This logic should be gated by a feature flag. However, please note that this feature might not be available in the current version of Airbyte as the issue is closed and there's no information about its implementation in the provided knowledge sources [source](https://github.com/airbytehq/airbyte/issues/33862). Additionally, there's a closed Github issue about modifying the platform to record a metric and a log message that compares the record count produced by the source with the record count reportedly consumed by the destination. This could be used to detect discrepancies in the record count [source](https://github.com/airbytehq/airbyte/issues/33860). For more detailed information or to request this feature, I would recommend reaching out to the Airbyte team directly or checking the official Airbyte documentation.
a
@kapa.ai in the GA4 source documentation it says : (Optional) In the Lookback window (Days) field, you can specify how many days in the past we should refresh the data in every run. but i can't find this field
k
A message from kapa.ai
The "Lookback window (Days)" field is indeed mentioned in the Google Analytics 4 (GA4) source documentation. This field allows you to specify how many days in the past the data should be refreshed in every run. However, if you're unable to find this field, it might be due to the version of Airbyte you're using or it could be a UI issue. Here's the reference from the documentation:
Copy code
FieldTypeProperty name ›Lookback window (Days)integerlookback_window
[Source](https://docs.airbyte.com/integrations/sources/google-analytics-data-api#reference) If you're still having trouble finding this field, I would recommend reaching out to the Airbyte team directly or checking the official Airbyte documentation for further assistance.
a
@kapa.ai i am syncing a salesforce object and got this in the logs 2024-07-22 091532 source > /usr/local/lib/python3.10/site-packages/pydantic/main.py1111 PydanticDeprecatedSince20: The 
json
method is deprecated; use 
model_dump_json
instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at https://errors.pydantic.dev/2.8/migration/ 999982 2024-07-22 091532 source > warnings.warn(
k
A message from kapa.ai
A message from kapa.ai
The log message you're seeing is a deprecation warning from the Pydantic library, which is used by Airbyte. It's informing you that the 
json
method is deprecated and will be removed in a future version of Pydantic (V3.0). Instead, you should use the 
model_dump_json
method. Here's the warning message for reference:
Copy code
python /usr/local/lib/python3.10/site-packages/pydantic/main.py:1111: PydanticDeprecatedSince20: The `json` method is deprecated; use `model_dump_json` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at <https://errors.pydantic.dev/2.8/migration/>
This warning is likely coming from the Salesforce connector in Airbyte. It's worth noting that this is just a warning and not an error, so it shouldn't affect the functionality of your current sync process. However, it's a good idea to keep your Airbyte and its connectors up-to-date to ensure compatibility with the latest libraries and methods. For more information on migrating to Pydantic V2, you can refer to the [Pydantic V2 Migration Guide](https://docs.pydantic.dev/latest/migration/#code-transformation-tool) mentioned in the warning message.
The log message you're seeing is a deprecation warning from the Pydantic library, which is used by the Salesforce connector in Airbyte. The 
json
method you're using is deprecated in Pydantic V2.0 and will be removed in V3.0. The recommended method to use instead is 
model_dump_json
. Here's the warning message for reference:
Copy code
python /usr/local/lib/python3.10/site-packages/pydantic/main.py:1111: PydanticDeprecatedSince20: The `json` method is deprecated; use `model_dump_json` instead. Deprecated in Pydantic V2.0 to be removed in V3.0. See Pydantic V2 Migration Guide at <https://errors.pydantic.dev/2.8/migration/>
This warning message is not an error and should not affect the functionality of your sync. However, it's a good idea to plan for this change in future versions of the library. For more information, you can refer to the [Pydantic V2 Migration Guide](https://errors.pydantic.dev/2.8/migration/).
a
@kapa.ai i have rested a table and started syncing, the platform says 2 mill records read, if restart the sync job, will i lost thos 2mill records and start from scratch, or airbyte is going to store those records and pickup from where it left
k
A message from kapa.ai
Airbyte stores the state of the data sync in its internal database. This state includes the cursor field, which is used to track the progress of the sync. If a sync job is interrupted and then restarted, Airbyte will use the latest cursor field from the database to continue the sync from where it left off [source](https://discuss.airbyte.io/t/840). However, if you manually reset a connection, Airbyte will start reading all the data from the beginning, even if the previous sync was not completed. This is because resetting a connection clears the cursor field from the database [source](https://discuss.airbyte.io/t/2733). So, if you restart the sync job without resetting the connection, Airbyte should continue from where it left off. But if you reset the connection and then start the sync, Airbyte will start from scratch.
a
@kapa.ai how can i see how many workers are being used in a sync
k
A message from kapa.ai
The number of workers used in a sync can be configured in Airbyte's settings. However, the provided knowledge sources do not specify a direct way to view the number of workers being used during a sync. In a forum post, a user mentioned that changing the number of worker instances won't immediately affect the sync speed. If you have multiple tables, you can try to parallelize the sync jobs by creating one connection per stream. This will enable syncing multiple tables at the same time [source](https://discuss.airbyte.io/t/1578). In the Kubernetes deployment, you can set the number of worker replicas that run in your Airbyte instance. This can be done by modifying the 
replicaCount
value in the worker configuration [source](https://docs.airbyte.com/enterprise-setup/scaling-airbyte#concurrent-sync-limits). For more detailed information, you may want to refer to the official Airbyte documentation or reach out to the Airbyte community.
a
@kapa.ai why is it when i sync records form salesforce, there some records been not synced even thoug the sate date includes those records and some with that date are synced and some are not ?
k
A message from kapa.ai
There could be several reasons why some records are not being synced from Salesforce even though the state date includes those records. Here are a few possibilities based on the provided knowledge sources: 1. Sync settings: If you're using the Incremental | Append + Deduped sync setting, it's possible that some records are being considered duplicates and are therefore not being synced [source](https://github.com/airbytehq/airbyte/issues/37528). 2. Salesforce object updates: If the records in Salesforce are not updated to have their 
lastModifiedDate
modified to the current date, they might not be picked up by Airbyte [source](https://github.com/airbytehq/airbyte/issues/37528). 3. Cursor field values: If the value of the cursor field (
SystemModstamp
) for some records is the same as the state value after a sync, those records might be missing in the next sync [source](https://github.com/airbytehq/airbyte/issues/27146). 4. Schema updates: If there have been any schema updates and a stream reset/resync, there might be a significant number of records missing after the stream reset [source](https://github.com/airbytehq/airbyte/issues/27048). If you're still facing this issue, I would recommend reaching out to the Airbyte team directly or checking the official Airbyte documentation for further assistance.
a
@kapa.ai how can i see the query airbyte uses to retrive data from salesforce ?
k
A message from kapa.ai
Airbyte does not provide a direct way to view the exact query it uses to retrieve data from Salesforce based on the provided knowledge sources. Airbyte's Salesforce connector reads both Standard Objects and Custom Objects from Salesforce. Each object is read as a separate stream. The objects that Airbyte can export are determined by the authenticated Salesforce user's Role and Permissions and whether the Salesforce object has the queryable property set to true [source](https://docs.airbyte.com/integrations/sources/salesforce#supported-streams). However, the exact query used to fetch the data is not exposed in the logs or the UI. If you need more detailed information about the data extraction process, you may want to refer to the official Airbyte documentation or reach out to the Airbyte community.
a
@kapa.ai can a table like "raw_salesforce_raw__stream_CampaignMember" disapear from airbyte_internal schema ?
u
A message from kapa.ai
u
Yes, a table like "raw_salesforce_raw__stream_CampaignMember" can disappear from the 
airbyte_internal
schema under certain circumstances. Here are a few possible scenarios: 1. Schema changes: If there are changes in the schema of the source data, Airbyte might create new tables to accommodate these changes. The old tables might be dropped in the process. 2. Resetting a connection: If you reset a connection in Airbyte, it will clear all the data and start the sync from scratch. This could potentially lead to the deletion of existing tables. 3. Changing the destination settings: If you change the destination settings in Airbyte, especially the 
Default Schema
or 
Raw Table Schema Name
, it could lead to the creation of new tables in a different schema. The old tables might be left untouched or could be deleted depending on the specific settings. 4. Manual deletion: If someone with access to your data warehouse manually deletes the table, it will disappear from the 
airbyte_internal
schema. Please note that these are general scenarios and the exact behavior might vary depending on your specific setup and the connectors you're using. For more detailed information, you may want to refer to the official Airbyte documentation or reach out to the Airbyte community [source](https://docs.airbyte.com/integrations/destinations/oracle-migrations#databaseschema-and-the-internal-schema).
a
@kapa.ai in the SFTP bulk connector, for the glogs selection i want to get the csv utf8_extractAllBounces20240828.csv so i did the golbs pattern as utf8_extractAllBounces20240828.csv and am getting this error Configuration check failed ['Traceback (most recent call last):\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/availability_strategy/default_file_based_availability_strategy.py", line 81, in _check_list_files\n file = next(iter(stream.get_files()))\nStopIteration\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/availability_strategy/default_file_based_availability_strategy.py", line 62, in check_availability_and_parsability\n file = self._check_list_files(stream)\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/availability_strategy/default_file_based_availability_strategy.py", line 83, in _check_list_files\n raise CheckAvailabilityError(FileBasedSourceError.EMPTY_STREAM, stream=stream.name)\nairbyte_cdk.sources.file_based.exceptions.CheckAvailabilityError: No files were identified in the stream. This may be because there are no files in the specified container, or because your glob patterns did not match any files. Please verify that your source contains files last modified after the start_date and that your glob patterns are not overly strict. Contact Support if you need assistance.\nstream=extractAllBounces20240828\n']
u
A message from kapa.ai
u
The error message you're seeing indicates that no files were identified in the stream. This could be because there are no files in the specified container, or because your glob patterns did not match any files. In your case, you've set the glob pattern as 
utf8_extractAllBounces20240828.csv
. This pattern will only match a file named exactly 
utf8_extractAllBounces20240828.csv
. Here are a few things you can check: 1. File existence: Make sure the file 
utf8_extractAllBounces20240828.csv
actually exists in the SFTP server. 2. File location: If your file is located in a subdirectory, you need to include the directory in the glob pattern. For example, if your file is in a directory named 
my_folder
, the glob pattern should be 
my_folder/utf8_extractAllBounces20240828.csv
. 3. Glob pattern: If you want to match all CSV files that start with 
utf8_extractAllBounces
, you can use a glob pattern like 
utf8_extractAllBounces*.csv
. If you've checked all these points and you're still facing the issue, I would recommend reaching out to the Airbyte team directly or checking the official Airbyte documentation for further assistance [source](https://docs.airbyte.com/integrations/sources/sftp-bulk#for-airbyte-open-source).
a
@kapa.ai my files are utf_16 e encoding but when i cahnge that in SFTP source config i got this error : Configuration check failed ['Traceback (most recent call last):\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/availability_strategy/default_file_based_availability_strategy.py", line 95, in _check_parse_record\n record = next(iter(parser.parse_records(stream.config, file, self.stream_reader, logger, discovered_schema=None)))\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/file_types/csv_parser.py", line 206, in parse_records\n for row in data_generator:\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/file_types/csv_parser.py", line 55, in read_data\n headers = self._get_headers(fp, config_format, dialect_name)\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/file_types/csv_parser.py", line 108, in _get_headers\n headers = list(next(reader))\n File "/usr/local/lib/python3.10/site-packages/paramiko/file.py", line 109, in __next__\n line = self.readline()\n File "/usr/local/lib/python3.10/site-packages/paramiko/file.py", line 318, in readline\n return line if self._flags & self.FLAG_BINARY else u(line)\n File "/usr/local/lib/python3.10/site-packages/paramiko/util.py", line 333, in u\n return s.decode(encoding)\nUnicodeDecodeError: \'utf-8\' codec can\'t decode byte 0xff in position 0: invalid start byte\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/availability_strategy/default_file_based_availability_strategy.py", line 64, in check_availability_and_parsability\n self._check_parse_record(stream, file, logger)\n File "/usr/local/lib/python3.10/site-packages/airbyte_cdk/sources/file_based/availability_strategy/default_file_based_availability_strategy.py", line 102, in _check_parse_record\n raise CheckAvailabilityError(FileBasedSourceError.ERROR_READING_FILE, stream=stream.name, file=file.uri) from exc\nairbyte_cdk.sources.file_based.exceptions.CheckAvailabilityError: Error opening file. Please check the credentials provided in the config and verify that they provide permission to read files. Contact Support if you need assistance.\nstream=extractAllOpens20240830 file=/home/sftp_user/data/SFMC//extractAllOpens20240830.csv\n']
u
A message from kapa.ai
u
The error message you're seeing indicates that there's an issue with the encoding of the file you're trying to read from the SFTP server. The error is a 
UnicodeDecodeError
which suggests that the file is not in the expected 'utf-8' encoding. Here are a few things you can check: 1. File Encoding: Make sure the file 
extractAllOpens20240830.csv
is actually in 'utf-16' encoding. You mentioned that your files are in 'utf-16' encoding, but the error message suggests that the system is still trying to decode the file as 'utf-8'. 2. Source Configuration: Check your SFTP source configuration in Airbyte. Make sure you've correctly set the file encoding to 'utf-16'. If the encoding is not set correctly in the source configuration, Airbyte might still try to read the file as 'utf-8', which would cause this error. If you've checked these points and you're still facing the issue, it might be a bug in the SFTP connector. In this case, I would recommend creating an issue in the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte/issues) or reaching out to the Airbyte team directly for further assistance.
a
@kapa.ai I updated to airbyte 0.63.19 and when runinng sync in dagster am getting this error: airbyte_sync_24490 ERROR Request to Airbyte API failed: 409 Client Error: Conflict for url: http://airbyte-server:8001/api/v1/connections/sync
u
A message from kapa.ai
u
The HTTP 409 Conflict error indicates that the request could not be completed due to a conflict with the current state of the target resource. This could happen if you're trying to start a sync for a connection that is already running a sync job. Here are a few things you can check: 1. Concurrent Syncs: Make sure there are no other sync jobs running for the same connection when you start a new sync. Airbyte does not support concurrent syncs for the same connection. 2. Sync Job Status: Check the status of your sync jobs in the Airbyte UI. If a sync job is stuck in the running state due to some issue, it might prevent new syncs from starting. 3. Airbyte Version: You mentioned that you updated to Airbyte 0.63.19. Some users have reported issues with sync jobs failing after upgrading to version 0.61.x or later [source](https://github.com/airbytehq/airbyte/issues/38854). If the issue started after the upgrade, it might be related to this. If you've checked these points and you're still facing the issue, I would recommend creating an issue in the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte/issues) or reaching out to the Airbyte team directly for further assistance.
a
@kapa.ai Request to Airbyte API failed: 500 Server Error: Internal Server Error for url: http://airbyte-server:8001/api/v1/connections/sync
u
A message from kapa.ai
u
The HTTP 500 Internal Server Error is a generic error message, given when an unexpected condition was encountered and no more specific message is suitable. This could be due to a variety of reasons such as server misconfigurations, server overload, or issues with the code running on the server. Here are a few things you can check: 1. Server Status: Check the status of your Airbyte server. Make sure it's running and accessible. 2. API Endpoint: Make sure the API endpoint you're trying to access (`http://airbyte-server:8001/api/v1/connections/sync`) is correct. 3. Logs: Check the logs for any error messages or exceptions that might give you more information about what's causing the issue. You can usually find the logs in the Airbyte UI or in the location where you're running Airbyte. 4. Airbyte Version: Make sure you're running a stable version of Airbyte. Some users have reported issues with certain versions of Airbyte [source](https://github.com/airbytehq/airbyte/issues/38282). If you've checked these points and you're still facing the issue, I would recommend creating an issue in the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte/issues) or reaching out to the Airbyte team directly for further assistance.
a
@kapa.ai where can i get a documentation with the list of the response numbers like 500 or 09
u
A message from kapa.ai
u
The response numbers you're referring to are HTTP status codes. They are not specific to Airbyte but are a standard across all web services. Here's a brief overview of what some of the most common status codes mean: - `200`: OK. The request has succeeded. - `400`: Bad Request. The server could not understand the request due to invalid syntax. - `401`: Unauthorized. The client must authenticate itself to get the requested response. - `403`: Forbidden. The client does not have access rights to the content. - `404`: Not Found. The server can not find the requested resource. - `500`: Internal Server Error. The server has encountered a situation it doesn't know how to handle. For a complete list of HTTP status codes, you can refer to the [MDN Web Docs](https://developer.mozilla.org/en-US/docs/Web/HTTP/Status). In the context of Airbyte, you might encounter these status codes when making requests to the Airbyte API or when Airbyte is interacting with your data sources and destinations. The exact meaning of these status codes in the context of Airbyte would depend on the specific API endpoint or connector you're using. For more information, you can refer to the [Airbyte API documentation](https://docs.airbyte.io/understanding-airbyte/api) or the documentation for the specific connector you're using.
a
@kapa.ai if i where to make a request in pyhton which container should i use 9d08c76a6399 airbyte/proxy:0.63.19 "./run.sh ./run.sh" 31 minutes ago Up 31 minutes 80/tcp, 0.0.0.0:7000->8000/tcp, :::7000->8000/tcp airbyte-proxy 157560ae2614 airbyte/cron:0.63.19 "/bin/bash -c airbyt…" 31 minutes ago Up 31 minutes airbyte-cron e6b7e8ad1ce1 airbyte/webapp:0.63.19 "/docker-entrypoint.…" 31 minutes ago Up 31 minutes 8080/tcp airbyte-webapp 48d5c713955c airbyte/server:0.63.19 "/bin/bash -c airbyt…" 31 minutes ago Up 31 minutes 5005/tcp, 8000/tcp airbyte-server c0f373314773 airbyte/connector-builder-server:0.63.19 "/bin/bash -c airbyt…" 31 minutes ago Up 31 minutes airbyte-connector-builder-server e3b5fecdd720 airbyte/worker:0.63.19 "/bin/bash -c airbyt…" 31 minutes ago Up 31 minutes 5005/tcp airbyte-worker 9f7e0b50eba4 airbyte/db:0.63.19 "docker-entrypoint.s…" 31 minutes ago Up 31 minutes 5432/tcp airbyte-db 0f1edc41812b airbyte/temporal:0.63.19 "./update-and-start-…" 31 minutes ago Up 31 minutes 6933-6935/tcp, 6939/tcp, 7233-7235/tcp, 7239/tcp airbyte-temporal import requests url = "http://172.29.0.9:8001/v1/destinations?includeDeleted=false&amp;limit=20&amp;offset=0" headers = {"accept": "application/json"} try: response = requests.get(url, headers=headers) response.raise_for_status() # Check for HTTP errors # If the response is JSON, use .json() to parse it directly data = response.json() print(data) except requests.exceptions.RequestException as e: print(f"An error occurred: {e}")
u
A message from kapa.ai
u
If you're making a request to the Airbyte API from a Python script, you should direct your requests to the 
airbyte-server
container. This is the container that runs the Airbyte API server. In your Python script, you're making a GET request to the 
/v1/destinations
endpoint. The base URL in your request should point to the 
airbyte-server
container. If you're running the script on the same machine where Airbyte is installed, you can use 
localhost
or 
127.0.0.1
as the base URL. The port should be 
8001
, which is the port that the 
airbyte-server
container listens on. Here's how you can modify your script:
Copy code
python import requests  url = "<http://localhost:8001/api/v1/destinations?includeDeleted=false&limit=20&offset=0>" headers = {"accept": "application/json"}  try:     response = requests.get(url, headers=headers)     response.raise_for_status()  # Check for HTTP errors      # If the response is JSON, use .json() to parse it directly     data = response.json()     print(data)  except requests.exceptions.RequestException as e:     print(f"An error occurred: {e}")
Please replace 
localhost
with the appropriate hostname or IP address if you're running the script on a different machine. For more information about the Airbyte API, you can refer to the [Airbyte API documentation](https://docs.airbyte.io/understanding-airbyte/api).
a
@kapa.ai An error occurred: 400 Client Error: Bad Request for url: http://localhost:8001/v1/destinations?includeDeleted=false&amp;limit=20&amp;offset=0
u
A message from kapa.ai
u
The HTTP 400 Bad Request error typically means that the server was unable to understand the request due to invalid syntax. This could be due to an error in the URL, headers, or the body of the request. In your case, you're making a GET request to the 
/v1/destinations
endpoint of the Airbyte API. The URL in your request is 
<http://localhost:8001/v1/destinations?includeDeleted=false&limit=20&offset=0>
. Here are a few things you can check: 1. URL: Make sure the URL is correct. The base URL should be 
<http://localhost:8001>
if you're running the script on the same machine where Airbyte is installed. The API endpoint should be 
/api/v1/destinations
. 2. Query Parameters: Check the query parameters in the URL. The 
includeDeleted
, 
limit
, and 
offset
parameters are all valid for the 
/api/v1/destinations
endpoint, so make sure their values are correct. 3. Headers: Check the headers in your request. The 
accept
header should be set to 
application/json
. If you've checked these points and you're still facing the issue, it might be a bug in the Airbyte API or a problem with your Airbyte installation. In this case, I would recommend creating an issue in the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte/issues) or reaching out to the Airbyte team directly for further assistance.
a
@kapa.ai am using aibyte version 0.63.19 using docker compse, how can i list the destination I have with python
u
A message from kapa.ai
u
To list the destinations you have in Airbyte using Python, you can make a GET request to the 
/api/v1/destinations/list
endpoint of the Airbyte API. Here's a sample Python script that does this:
Copy code
python import requests  url = "<http://localhost:8001/api/v1/destinations/list>" headers = {"accept": "application/json"}  try:     response = <http://requests.post|requests.post>(url, headers=headers)     response.raise_for_status()  # Check for HTTP errors      # If the response is JSON, use .json() to parse it directly     data = response.json()     print(data)  except requests.exceptions.RequestException as e:     print(f"An error occurred: {e}")
This script sends a POST request to the 
/api/v1/destinations/list
endpoint and prints the response. The response will be a JSON object that includes a list of all destinations. Please replace 
localhost
with the appropriate hostname or IP address if you're running the script on a different machine. For more information about the Airbyte API, you can refer to the [Airbyte API documentation](https://docs.airbyte.io/understanding-airbyte/api).
a
@kapa.ai An error occurred: 400 Client Error: Bad Request for url: http://localhost:8001/api/v1/destinations/list
u
A message from kapa.ai
u
The HTTP 400 Bad Request error typically means that the server was unable to understand the request due to invalid syntax. This could be due to an error in the URL, headers, or the body of the request. In your case, you're making a POST request to the 
/api/v1/destinations/list
endpoint of the Airbyte API. The URL in your request is 
<http://localhost:8001/api/v1/destinations/list>
. Here are a few things you can check: 1. URL: Make sure the URL is correct. The base URL should be 
<http://localhost:8001>
if you're running the script on the same machine where Airbyte is installed. The API endpoint should be 
/api/v1/destinations/list
. 2. Headers: Check the headers in your request. The 
accept
header should be set to 
application/json
. 3. Request Method: The 
/api/v1/destinations/list
endpoint expects a POST request, not a GET request. Make sure you're using the correct HTTP method. If you've checked these points and you're still facing the issue, it might be a bug in the Airbyte API or a problem with your Airbyte installation. In this case, I would recommend creating an issue in the [Airbyte GitHub repository](https://github.com/airbytehq/airbyte/issues) or reaching out to the Airbyte team directly for further assistance.
Open in Slack
PreviousNext
Powered by