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第三节：仓库列表页 - 卡片与排序布局
学习目标 GitHub仓库列表页分析 页面骨架结构 实现用户信息栏和导航标签 添加过滤和搜索控件 实现仓库卡片列表 添加分页导航组件 响应式设计考虑 关键样式技术点 1. 仓库卡片模式 2. 分隔线和边界 3. 标签和指示器 4. 语言颜色点 5. 过滤器和排序控件 常见问题与解决方案 问题1：移动设备上过滤控件的排列 问题2：... -
Partitioning
Partitioning What is partitioning? Partitioning is a way to make queries faster by grouping similar rows together when writing. For example, queries for log entries from a logs ... -
Java Custom Catalog
Custom Catalog It’s possible to read an iceberg table either from an hdfs path or from a hive table. It’s also possible to use a custom metastore in place of hive. The steps to do... -
Evolution
Evolution Iceberg supports in-place table evolution . You can evolve a table schema just like SQL — even in nested structures — or change partition layout when data volume chang... -
Connectors for Spark SQL Query Engine
Delta Lake Delta Lake with Microsoft Azure Blob Storage Hudi Iceberg Kudu Hive Apache Paimon (Incubating) TiDB TPC-DS TPC-H -
RisingWave
RisingWave RisingWave is a Postgres-compatible SQL database designed for real-time event streaming data processing, analysis, and management. It can ingest millions of events per... -
Flink Connector
Flink Connector Apache Flink supports creating Iceberg table directly without creating the explicit Flink catalog in Flink SQL. That means we can just create an iceberg table by s... -
Features and Limitations
Features and Limitations Features Apache XTable™ (Incubating) provides users with the ability to translate metadata from one table format to another. Apache XTable™ (Incubatin... -
Apache Spark
Querying from Apache Spark To read an Apache XTable™ (Incubating) synced target table (regardless of the table format) in Apache Spark locally or on services like Amazon EMR, Goog... -
Hive Registration
How Hive Registration Works in Gobblin HiveSpec HiveRegistrationPolicy HiveSerDeManager Predicate and Activity How to Use Hive Registration in Your Gobblin Job Hive Regist...
