google-bigquery

问题 For every 'Record' Type of my Firestore table, BigQuery is automatically adding the ' key ' columns. I do not want to have these added for each of the 'Record' Type fields. How can I get rid of these extra columns automatically being added by BigQuery? (I want to get rid of the below columns in my BigQuery table schema highlighted in yellow) 回答1: This is intended behavior, citing Bigquery GCP documentation: Each document in Firestore has a unique key that contains information such as the

问题 I want to export a table or a view from bigQuery, but I do not need to export everything: I need to export only certain columns. How can I configure which ones to export? My current code is something like this: BigQuery bigQuery = BigQueryOptions.getDefaultInstance().getService(); Field fieldToExport = Field.of("column to export", LegacySQLTypeName.STRING); Table table = bigQuery.getTable("mybigqueryid", "mytable", /* here it only accepts tableOptions, not fields*/); String format = "csv";

问题 I want to export a table or a view from bigQuery, but I do not need to export everything: I need to export only certain columns. How can I configure which ones to export? My current code is something like this: BigQuery bigQuery = BigQueryOptions.getDefaultInstance().getService(); Field fieldToExport = Field.of("column to export", LegacySQLTypeName.STRING); Table table = bigQuery.getTable("mybigqueryid", "mytable", /* here it only accepts tableOptions, not fields*/); String format = "csv";

问题 I have deployed my webapp on Google Cloud Bigquery, when I query the data I get an error "400 No matching signature for operator BETWEEN for argument types: DATE, STRING, STRING. Supported signature: (ANY) BETWEEN (ANY) AND (ANY) at [2:38]" . Here is my sql: """SELECT Record_Start_Time, Generator_Power FROM Furnace.FurnaceData WHERE Record_Start_Time BETWEEN TIMESTAMP("2018-01-21") AND TIMESTAMP("2018-07-21") ORDER BY Record_Start_Time LIMIT 100""".format(request.form['start'],request.form[

问题 In Google BigQuery API, what is the default timeout for a query response? In other words, how long does it wait by default until the response returns null for an incomplete job. 回答1: The documentation for timeoutMs in the jobs.query says: [Optional] How long to wait for the query to complete, in milliseconds, before the request times out and returns. Note that this is only a timeout for the request, not the query. If the query takes longer to run than the timeout value, the call returns

问题 I'm trying to copy a BigQuery table (Table1) stored within a Google Cloud Project (Project1) to another Google Cloud Project (Project2). The table is on the order of TBs. What's the best way to do this so that I don't have to export the table locally? Should I export the table from Project1 to Google Cloud Storage, and then to Project2? Or is there a better way? 回答1: Use bq command line tool to copy a table from one project to another. You can have a look at the following sample command

问题 I'm trying to copy a BigQuery table (Table1) stored within a Google Cloud Project (Project1) to another Google Cloud Project (Project2). The table is on the order of TBs. What's the best way to do this so that I don't have to export the table locally? Should I export the table from Project1 to Google Cloud Storage, and then to Project2? Or is there a better way? 回答1: Use bq command line tool to copy a table from one project to another. You can have a look at the following sample command

问题 I'm looking into the possibility to use BigQuery and its API to do on-site queries depending on content that is viewed by our visitors. Therefore the response time is crucial. I have loaded a very simple structured dataset of 10k rows (4columns) and run a very simple query and that takes between 1 and 2 seconds. My questions is hopefully pretty simple to answer, will I ever be able to get a <1sec response time with the BQ API by optimising the data in someway or not? Thanks a lot in advance!

问题 I'm looking into the possibility to use BigQuery and its API to do on-site queries depending on content that is viewed by our visitors. Therefore the response time is crucial. I have loaded a very simple structured dataset of 10k rows (4columns) and run a very simple query and that takes between 1 and 2 seconds. My questions is hopefully pretty simple to answer, will I ever be able to get a <1sec response time with the BQ API by optimising the data in someway or not? Thanks a lot in advance!

问题 I am using Python3 to query Stackdriver for GCP logs. Unfortunately, the log entries that have important data are returned to me as "NoneType" instead of as a "dict" or a "str". The resulting "entry.payload" is type "None" and the "entry.payload_pb" has the data I want, but it is garbled. Is there a way to get Stackdriver to return this data in a clean format, or is there a way I can parse it? If not, is there a way I should query this data that is better than what I am doing and yields clean