Rename labels, types, and properties

batchSize

INTEGER

10000

run the specified number of operation statements in a single tx - params: {_count, _batch}

parallel

BOOLEAN

true

run operation statements in parallel (note that statements might deadlock if conflicting)
Please note that, in case of parallel: false, APOC is designed to reuse the same java.util.concurrent.ThreadPoolExecutor with a maximum pool size equal 1, in order to prevent parallelism; this means that if you want to execute multiple apoc.periodic.iterate each one will be executed when the previous one has been completed. Instead, with parallel: true, APOC will use a ThreadPoolExecutor with a configurable maximum pool size via the apoc.jobs.pool.num_threads config or as default with the number of available processor * 2. Therefore, if we execute multiple apoc.periodic.iterate each one will be executed in parallel if the queue pool size can accept new tasks. Furthermore, to be noted that running in parallel affects all databases, and not the single database you are using. So with e.g. 2 databases db1 and db2, the apoc.periodic.iterate on db1 will impact on performance if we execute an apoc.periodic.iterate on db2.

retries

INTEGER

0

if the operation statement fails with an error, sleep 100ms and retry until retries-count is reached - param {_retry}

batchMode

STRING

"BATCH"

how data-driven statements should be processed by operation statement. Valid values are:

* "BATCH" - execute operation statement once per batchSize. Operation statement is prefixed with the following, which extracts each field returned in the data-driven statement from the $_batch parameter: [source,cypher] ---- UNWIND $_batch AS _batch WITH _batch.field1 AS field1, _batch.field2 AS field2 ---- * "SINGLE" - execute operation statement one at a time * "BATCH_SINGLE" - execute operation statement once per batchSize, but leaves unpacking of batch to the operation statement. The operation query can access the batched values via the $_batch parameter.

concurrency

INTEGER

Number of processors available

number of concurrent tasks are generated when using parallel:true