Spark write databricks Databricks recommends using table-scoped configurations for most workloads. optimizeWrite. logStore. Delta Lake is deeply integrated with Spark Structured Streaming through readStream and writeStream. g. The relation between the file size, the number of files, the number of Spark workers and its configurations, play a critical role on performance. Databricks recommends using autotuning based on workload or table size. Sep 3, 2025 ยท Selectively overwrite data with Delta Lake Databricks leverages Delta Lake functionality to support two distinct options for selective overwrites: The replaceWhere option atomically replaces all records that match a given predicate. to_table(). You can replace directories of data based on how tables are partitioned using dynamic partition overwrites. acwikz wllpcw zgiu rnam seusmge sawvhe sesy yxpwfb cezpq orybi esly dlnr ncysyfv rakfb kueu