Question

我应该将凤凰数据读入pyspark。

编辑：我正在使用Spark HBase转换器：

以下是代码段：

port="2181"
host="zookeperserver"
keyConv = "org.apache.spark.examples.pythonconverters.ImmutableBytesWritableToStringConverter"
valueConv = "org.apache.spark.examples.pythonconverters.HBaseResultToStringConverter"
cmdata_conf = {"hbase.zookeeper.property.clientPort":port, "hbase.zookeeper.quorum": host, "hbase.mapreduce.inputtable": "camel", "hbase.mapreduce.scan.columns": "data:a"}
sc.newAPIHadoopRDD("org.apache.hadoop.hbase.mapreduce.TableInputFormat","org.apache.hadoop.hbase.io.ImmutableBytesWritable","org.apache.hadoop.hbase.client.Result",keyConverter=keyConv,valueConverter=valueConv,conf=cmdata_conf)

回溯：

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/hdp/2.3.0.0-2557/spark/python/pyspark/context.py", line 547, in newAPIHadoopRDD
    jconf, batchSize)
  File "/usr/hdp/2.3.0.0-2557/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
  File "/usr/hdp/2.3.0.0-2557/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD.
: java.io.IOException: No table was provided.
    at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase.getSplits(TableInputFormatBase.java:130)

非常感谢任何帮助。

谢谢！ /蒂娜

Answer 1

建议使用spark phoenix插件。请查看有关凤凰火花插件here

的详细信息

环境：使用AWS EMR 5.10，PySpark

进行测试

以下是步骤

在凤凰https://phoenix.apache.org/language/创建表格打开Phoenix shell

“/ usr / lib / phoenix / bin / sqlline.py”

DROP TABLE IF EXISTS TableName;

CREATE TABLE TableName（DOMAIN VARCHAR主键）;

UPSERT INTO TableName（DOMAIN）VALUES（'foo'）;
下载spark phoenix插件jar 从https://mvnrepository.com/artifact/org.apache.phoenix/phoenix-core/4.11.0-HBase-1.3下载spark phoenix插件jar 你需要凤凰 - HBase - client.jar，我根据我的凤凰和hbase版本使用了phoenix-4.11.0-HBase-1.3-client.jar
从您的hadoop主目录中，设置以下变量：

phoenix_jars = /家庭/用户/阿帕奇-凤-4.11.0-HBase的-1.3滨/凤-4.11.0-HBase的-1.3-client.jar中
启动PySpark shell并在Driver和executter类路径中添加依赖项

pyspark --jars $ {phoenix_jars} --conf spark.executor.extraClassPath = $ {phoenix_jars}

- 创建ZooKeeper URL，替换为您的集群zookeeper仲裁，您可以从hbase-site.xml进行检查

emrMaster = "ZooKeeper URL" 

df = sqlContext.read \
.format("org.apache.phoenix.spark") \
.option("table", "TableName") \
.option("zkUrl", emrMaster) \
.load() 

df.show()
df.columns
df.printSchema()
df1=df.replace(['foo'], ['foo1'], 'DOMAIN')
df1.show() 

df1.write \
  .format("org.apache.phoenix.spark") \
  .mode("overwrite") \
  .option("table", "TableName") \
  .option("zkUrl", emrMaster) \
  .save()

Answer 2

有两种方法可以做到这一点：
1）由于Phoenix有一个JDBC层，你可以使用Spark JdbcRDD从Spark中发现数据https://spark.apache.org/docs/1.3.0/api/java/org/apache/spark/rdd/JdbcRDD.html

2）使用Spark HBAse转换器： https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/pythonconverters/HBaseConverters.scala https://github.com/apache/spark/tree/master/examples/src/main/python

PySpark HBase / Phoenix集成

2 个答案: