Question

出于测试目的，我想使用BigQuery Connector在BigQuery中编写Parquet Avro日志。在我写作的时候，没有办法直接从UI中读取Parquet来摄取它，所以我正在编写Spark工作。

在Scala，目前，工作机构如下：

val events: RDD[RichTrackEvent] =
readParquetRDD[RichTrackEvent, RichTrackEvent](sc, googleCloudStorageUrl)

val conf = sc.hadoopConfiguration
conf.set("mapred.bq.project.id", "myproject")

// Output parameters
val projectId = conf.get("fs.gs.project.id")
val outputDatasetId = "logs"
val outputTableId = "test"
val outputTableSchema = LogSchema.schema

// Output configuration
BigQueryConfiguration.configureBigQueryOutput(
  conf, projectId, outputDatasetId, outputTableId, outputTableSchema
)
conf.set(
  "mapreduce.job.outputformat.class",
  classOf[BigQueryOutputFormat[_, _]].getName
)

events
  .mapPartitions {
    items =>
      val gson = new Gson()
      items.map(e => gson.fromJson(e.toString, classOf[JsonObject]))
  }
  .map(x => (null, x))
  .saveAsNewAPIHadoopDataset(conf)

由于BigQueryOutputFormat未找到Google凭据，因此它会回退元数据主机以尝试使用以下堆栈跟踪发现它们：

016-06-13 11:40:53 WARN  HttpTransport:993 - exception thrown while executing request
java.net.UnknownHostException: metadata
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:184)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589    at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1169)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1105)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:999)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:933)
at com.google.api.client.http.javanet.NetHttpRequest.execute(NetHttpRequest.java:93)
at com.google.api.client.http.HttpRequest.execute(HttpRequest.java:972)
at com.google.cloud.hadoop.util.CredentialFactory$ComputeCredentialWithRetry.executeRefreshToken(CredentialFactory.java:160)
at com.google.api.client.auth.oauth2.Credential.refreshToken(Credential.java:489)
at com.google.cloud.hadoop.util.CredentialFactory.getCredentialFromMetadataServiceAccount(CredentialFactory.java:207)
at com.google.cloud.hadoop.util.CredentialConfiguration.getCredential(CredentialConfiguration.java:72)
at com.google.cloud.hadoop.io.bigquery.BigQueryFactory.createBigQueryCredential(BigQueryFactory.java:81)
at com.google.cloud.hadoop.io.bigquery.BigQueryFactory.getBigQuery(BigQueryFactory.java:101)
at com.google.cloud.hadoop.io.bigquery.BigQueryFactory.getBigQueryHelper(BigQueryFactory.java:89)
at com.google.cloud.hadoop.io.bigquery.BigQueryOutputCommitter.<init>(BigQueryOutputCommitter.java:70)
at com.google.cloud.hadoop.io.bigquery.BigQueryOutputFormat.getOutputCommitter(BigQueryOutputFormat.java:102)
at com.google.cloud.hadoop.io.bigquery.BigQueryOutputFormat.getOutputCommitter(BigQueryOutputFormat.java:84)
at com.google.cloud.hadoop.io.bigquery.BigQueryOutputFormat.getOutputCommitter(BigQueryOutputFormat.java:30)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1135)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1078)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:1078)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:357)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1078)

当然可以预期，但它应该能够使用我的服务帐户及其密钥GoogleCredential.getApplicationDefault()返回从GOOGLE_APPLICATION_CREDENTIALS环境变量中提取的相应凭据。

由于连接器似乎从hadoop配置读取凭据，设置的键是什么，以便它读取GOOGLE_APPLICATION_CREDENTIALS？有没有办法配置输出格式以使用提供的GoogleCredential对象？

Answer 1

如果我理解你的问题 - 你可能想要设置：

<name>mapred.bq.auth.service.account.enable</name>
<name>mapred.bq.auth.service.account.email</name>
<name>mapred.bq.auth.service.account.keyfile</name>
<name>mapred.bq.project.id</name>
<name>mapred.bq.gcs.bucket</name>

这里，mapred.bq.auth.service.account.keyfile应该指向旧式“P12”密钥文件的完整文件路径;或者，如果您使用较新的“JSON”密钥文件，则应使用单个mapred.bq.auth.service.account.json.keyfile密钥替换“email”和“keyfile”条目：

<name>mapred.bq.auth.service.account.enable</name>
<name>mapred.bq.auth.service.account.json.keyfile</name>
<name>mapred.bq.project.id</name>
<name>mapred.bq.gcs.bucket</name>

另外，您可能需要查看https://github.com/spotify/spark-bigquery - 这是使用BQ和Spark更加文明的方式。如果在Hadoop中使用BQ连接器，则此情况下使用的setGcpJsonKeyFile方法与您为mapred.bq.auth.service.account.json.keyfile设置的JSON文件相同。

如何在本地使用Spark BigQuery Connector？

1 个答案: