avro

loading avro files with different schemas into one bigquery table

早过忘川 提交于 2021-01-28 07:51:08
问题 I have a set of avro files with slightly varying schemas which I'd like to load into one bq table. Is there a way to do that with one line? Every automatic way to handle schema difference would be fine for me. Here is what I tried so far. 0) If I try to do it in a straightforward way, bq fails with error: bq load --source_format=AVRO myproject:mydataset.logs gs://mybucket/logs/* Waiting on bqjob_r4e484dc546c68744_0000015bcaa30f59_1 ... (4s) Current status: DONE BigQuery error in load

Read AVRO file using Python

邮差的信 提交于 2021-01-27 07:38:41
问题 I have an AVRO file(created by JAVA) and seems like it is some kind of zipped file for hadoop/mapreduce, i want to 'unzip' (deserialize) it to a flat file. Per record per row. I learned that there is an AVRO package for python, and I installed it correctly. And run the example to read the AVRO file. However, it came up with the errors below and I am wondering what is going on reading the simplest example? Can anyone help me interpret the errors bellow. >>> reader = DataFileReader(open("/tmp

Spark: unusually slow data write to Cloud Storage

大憨熊 提交于 2021-01-07 01:24:25
问题 As the final stage of the pyspark job, I need to save 33Gb of data to Cloud Storage. My cluster is on Dataproc and consists of 15 n1-standard-v4 workers. I'm working with avro and the code I use to save the data: df = spark.createDataFrame(df.rdd, avro_schema_str) df \ .write \ .format("avro") \ .partitionBy('<field_with_<5_unique_values>', 'field_with_lots_of_unique_values>') \ .save(f"gs://{output_path}") The write stage stats from the UI: My worker stats: Quite strangely for the adequate

How to convert Avro GenericRecord to a valid Json using while coverting timestamp fields from milliseconds to datetime?

此生再无相见时 提交于 2020-12-31 06:44:08
问题 How to convert Avro GenericRecord to Json using while coverting timestamp fields from milliseconds to datetime? Currently using Avro 1.8.2 Timestamp tsp = new Timestamp(1530228588182l); Schema schema = SchemaBuilder.builder() .record("hello") .fields() .name("tsp").type(LogicalTypes.timestampMillis().addToSchema(Schema.create(Schema.Type.LONG))).noDefault() .endRecord(); System.out.println(schema.toString()); GenericRecord genericRecord = new GenericData.Record(schema); genericRecord.put("tsp

How to use Spring-Kafka to read AVRO message with Confluent Schema registry?

▼魔方 西西 提交于 2020-12-29 13:16:11
问题 How to use Spring-Kafka to read AVRO message with Confluent Schema registry? Is there any sample? I can't find it in official reference document. 回答1: Below code can read the message from customer-avro topic. Here's the AVRO schema on value i have defined as. { "type": "record", "namespace": "com.example", "name": "Customer", "version": "1", "fields": [ { "name": "first_name", "type": "string", "doc": "First Name of Customer" }, { "name": "last_name", "type": "string", "doc": "Last Name of

How to use Spring-Kafka to read AVRO message with Confluent Schema registry?

拜拜、爱过 提交于 2020-12-29 13:14:39
问题 How to use Spring-Kafka to read AVRO message with Confluent Schema registry? Is there any sample? I can't find it in official reference document. 回答1: Below code can read the message from customer-avro topic. Here's the AVRO schema on value i have defined as. { "type": "record", "namespace": "com.example", "name": "Customer", "version": "1", "fields": [ { "name": "first_name", "type": "string", "doc": "First Name of Customer" }, { "name": "last_name", "type": "string", "doc": "Last Name of

How to use Spring-Kafka to read AVRO message with Confluent Schema registry?

浪尽此生 提交于 2020-12-29 13:14:30
问题 How to use Spring-Kafka to read AVRO message with Confluent Schema registry? Is there any sample? I can't find it in official reference document. 回答1: Below code can read the message from customer-avro topic. Here's the AVRO schema on value i have defined as. { "type": "record", "namespace": "com.example", "name": "Customer", "version": "1", "fields": [ { "name": "first_name", "type": "string", "doc": "First Name of Customer" }, { "name": "last_name", "type": "string", "doc": "Last Name of

How to use Spring-Kafka to read AVRO message with Confluent Schema registry?

霸气de小男生 提交于 2020-12-29 13:14:25
问题 How to use Spring-Kafka to read AVRO message with Confluent Schema registry? Is there any sample? I can't find it in official reference document. 回答1: Below code can read the message from customer-avro topic. Here's the AVRO schema on value i have defined as. { "type": "record", "namespace": "com.example", "name": "Customer", "version": "1", "fields": [ { "name": "first_name", "type": "string", "doc": "First Name of Customer" }, { "name": "last_name", "type": "string", "doc": "Last Name of

Problem installing package using setup.py

你离开我真会死。 提交于 2020-12-13 03:32:07
问题 I have setup.py set to get the dependencies from requirements.txt that I generate from my virtual environment of the project. As follows: In my venv: pip3 freeze > requirements.txt Then: with open('requirements.txt') as f: required = f.read().splitlines() setuptools.setup( ... install_requires=required, ... ) But I have this error displayed when I try to install my package: raise RequirementParseError(str(e)) pip._vendor.pkg_resources.RequirementParseError: Parse error at "'(===file'":

Apache AVRO with Rest

♀尐吖头ヾ 提交于 2020-11-30 12:44:06
问题 I am evaluating using Apache AVRO for my Jersey REST services. I am using Springboot with Jersey REST. Currently I am accepting JSON as input which are converted to Java Pojos using the Jackson object mapper. I have looked in different places but I cannot find any example that is using Apache AVRO with a Jersey end point. I have found this Github repository (https://github.com/FasterXML/jackson-dataformats-binary/) which has Apache AVRO plugin. I still cannot find any good example as how to