dataflow

问题 What is the best way to convert unixTimestamp to local time in the following scenario? I am using Pub/Sub Subscription to BigQuery Template. Dataflow fetches data in json format from PubSub, does the transformation, inserts into BigQuery Preferably, I want to use UDF for data transformation setup. (For simplicity,) Input data includes only unixTimestamp. Example: {"unixTimestamp": "1612325106000"} Bigquery table has 3 columns: unix_ts:INTEGER, iso_dt:DATETIME, local_dt:DATETIME where unix_ts

问题 What is the best way to convert unixTimestamp to local time in the following scenario? I am using Pub/Sub Subscription to BigQuery Template. Dataflow fetches data in json format from PubSub, does the transformation, inserts into BigQuery Preferably, I want to use UDF for data transformation setup. (For simplicity,) Input data includes only unixTimestamp. Example: {"unixTimestamp": "1612325106000"} Bigquery table has 3 columns: unix_ts:INTEGER, iso_dt:DATETIME, local_dt:DATETIME where unix_ts

问题 What is the best way to convert unixTimestamp to local time in the following scenario? I am using Pub/Sub Subscription to BigQuery Template. Dataflow fetches data in json format from PubSub, does the transformation, inserts into BigQuery Preferably, I want to use UDF for data transformation setup. (For simplicity,) Input data includes only unixTimestamp. Example: {"unixTimestamp": "1612325106000"} Bigquery table has 3 columns: unix_ts:INTEGER, iso_dt:DATETIME, local_dt:DATETIME where unix_ts

问题 I have timestamp column where I have written following expression to filter the column: contact_date >= toTimestamp('2020-01-01') && contact_date <= toTimestamp('2020-12-31') It doesn't complain about syntax but after run it doesn't filter based on date specified. Simply to say logic doesn't work. Any idea? Date Column in Dataset: 回答1: Please don't use toTimestamp() function. I tested and you will get null output. I use a Filter active to filter the data. Please use the toString() and change

问题 I have timestamp column where I have written following expression to filter the column: contact_date >= toTimestamp('2020-01-01') && contact_date <= toTimestamp('2020-12-31') It doesn't complain about syntax but after run it doesn't filter based on date specified. Simply to say logic doesn't work. Any idea? Date Column in Dataset: 回答1: Please don't use toTimestamp() function. I tested and you will get null output. I use a Filter active to filter the data. Please use the toString() and change

问题 I have a dataflow job where I will read from bigquery query first (in standard sql). It works perfectly in direct runner mode. However I tried to run this dataflow in dataflow runner mode and encountered this error : response: <{'vary': 'Origin, X-Origin, Referer', 'content-type': 'application/json; charset=UTF-8', 'date': 'Thu, 24 Dec 2020 09:28:21 GMT', 'server': 'ESF', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff',

问题 I'm working on Dataflow, I already has build my custom pipeline via Python SDK. I would like to add the parameters at the Dataflow UI into my custom pipeline. using the Additional Parameters. Reference by https://cloud.google.com/dataflow/docs/guides/templates/creating-templates#staticvalue Then I changed add_argument to add_value_provider_argument follow by google docs class CustomParams(PipelineOptions): @classmethod def _add_argparse_args(cls, parser): parser.add_value_provider_argument( "

问题 I'm working on Dataflow, I already has build my custom pipeline via Python SDK. I would like to add the parameters at the Dataflow UI into my custom pipeline. using the Additional Parameters. Reference by https://cloud.google.com/dataflow/docs/guides/templates/creating-templates#staticvalue Then I changed add_argument to add_value_provider_argument follow by google docs class CustomParams(PipelineOptions): @classmethod def _add_argparse_args(cls, parser): parser.add_value_provider_argument( "

问题 Is it possible to get TransformManyBlock s to send intermediate results as they are created to the next step instead if waiting for the entire IEnumerable<T> to be filled? All testing I've done shows that TransformManyBlock only sends a result to the next block when it is finished; the next block then reads those items one at a time. It seems like basic functionality but I can't find any examples of this anywhere. The use case is processing chunks of a file as they are read. In my case there

问题 I worked with ReactJS and flux. They are to used to build web based applications. And flux is used to enhance the way to data flow providing bidirectional data flow. I start learning react native and wants to know ─ Can I use flux into react-native ? OR ─ Is there any other libraries or framework available to use in react native. I came across Redux. Is that only option in react native ? Please help me to clarify what to use in react native. 回答1: Yes, you can use Flux in your react native app